The document discusses testing the use of an unmanned aerial vehicle (UAV) equipped with cameras as a remote sensing platform for agricultural applications. The study tested the ability of the UAV's autopilot to accurately trigger the cameras when passing over predetermined waypoints. Images were successfully captured at each waypoint, but the target was variably offset from the center of the images, ranging from 15-60% of the image extent due to factors like wind, GPS errors, and sensor positioning errors. The ability to accurately geolocate images is important for applications like crop monitoring and mapping large areas.
This study investigated the use of aerial photographs collected from an unmanned aerial vehicle (UAV) to map and monitor mangrove communities in Port Hedland, Western Australia at a high spatial resolution. The UAV collected imagery of mangrove sites with a pixel size of 2cm, allowing classification of mangroves down to the individual plant level. Analysis of the imagery found that the two dominant mangrove species, Avicennia marina and Rhizophora stylosa, made up 88% of the living canopy cover across the two study sites. The high resolution imagery from the UAV provides an effective method for detailed and frequent monitoring of mangrove community composition and health.
application of remote sensing in defence forcesNEERAJSHARMA814
The military uses remote sensing and GIS technologies to gain strategic advantages. Satellite imagery provides crucial intelligence for terrain evaluation, target analysis, and naval and air operations. Real-time weather data is also important for mission planning and battle success. India has launched several remote sensing satellites like Cartosat, Risat, and GSAT that support surveillance and communication needs of its armed forces.
Image classification and land cover mappingKabir Uddin
The document introduces land cover mapping techniques using satellite images, noting that land cover represents physical materials on Earth's surface and can be mapped through analysis of remotely sensed imagery or field surveys, with accurate land cover information supporting applications like planning, disaster management, and policy development.
Collection and Interpretation of Remote Sensing Data, Kasper Johansen, Univer...becnicholas
This document discusses the collection and interpretation of remote sensing data. It begins by introducing remote sensing and its applications, such as mapping biomass, surface temperature, elevation, coral reefs, and flooding from cyclones. It then discusses how to collect remote sensing data from various sources and the associated costs. The document presents a case study on mapping the condition of savanna riparian zones in northern Australia through field surveys and high-resolution image data. Field data on vegetation parameters was collected and biophysical models were developed to map canopy cover and other metrics.
Validation of a high-resolution, remotely operated aerial remote-sensing syst...Angelo State University
The study validated the use of a high-resolution remote sensing system based on a radio-controlled helicopter to identify herbaceous plant species. The system, called Falcon-PARS, obtained 1 cm resolution images of a wetland in Japan dominated by Phragmites australis and Miscanthus sacchariflorus from a 30m flying height. Visual interpretation of the high-resolution images allowed the researchers to distinguish between the two dominant species. The system provided positioning accuracy of less than 1m, allowing multi-temporal monitoring without damaging the fragile wetland vegetation.
This document provides an introduction to aerial photography and remote sensing. It discusses key topics such as:
- The basic concepts and terminology of aerial photography, including flight height, focal length, scale, and camera geometry.
- The different types of aerial photographs, including vertical, low-oblique, and high-oblique views.
- Factors that influence photo quality, such as weather conditions, camera equipment, and processing methods.
- The principles of photogrammetry and stereo viewing, including parallax and stereoscopes.
- Common image interpretation elements like shape, size, tone, texture, pattern, site, association, and shadows.
- An overview of remote sensing concepts like
This document provides an overview of a seminar on remote sensing, GIS and their application for soil fertility mapping. It introduces remote sensing concepts like passive and active sensing, platforms like aircraft and satellites, and multispectral sensors. It discusses how GIS organizes geographic data and examples of data sources. The document presents a case study that mapped soil properties in Mathura District, India using remote sensing and GIS techniques. It describes the digitizing process in ArcGIS and studies on mapping clay minerals and soil contamination with spectroscopy. The document concludes that remote sensing and GIS can efficiently map large areas to aid in crop selection and productivity.
Application of Remote Sensing in AgricultureUTTAM KUMAR
Remote sensing has been found to be a valuable tool in evaluation, monitoring and management of land, water and crop resources. The launching of the Indian remote sensing satellite (IRS) has enhanced the capabilities for better utilization of this technology and significant progress has been made in soil and land cover mapping, land degradation studies, monitoring of waste land, assessment of crop conditions crop acreage and production estimates
This study investigated the use of aerial photographs collected from an unmanned aerial vehicle (UAV) to map and monitor mangrove communities in Port Hedland, Western Australia at a high spatial resolution. The UAV collected imagery of mangrove sites with a pixel size of 2cm, allowing classification of mangroves down to the individual plant level. Analysis of the imagery found that the two dominant mangrove species, Avicennia marina and Rhizophora stylosa, made up 88% of the living canopy cover across the two study sites. The high resolution imagery from the UAV provides an effective method for detailed and frequent monitoring of mangrove community composition and health.
application of remote sensing in defence forcesNEERAJSHARMA814
The military uses remote sensing and GIS technologies to gain strategic advantages. Satellite imagery provides crucial intelligence for terrain evaluation, target analysis, and naval and air operations. Real-time weather data is also important for mission planning and battle success. India has launched several remote sensing satellites like Cartosat, Risat, and GSAT that support surveillance and communication needs of its armed forces.
Image classification and land cover mappingKabir Uddin
The document introduces land cover mapping techniques using satellite images, noting that land cover represents physical materials on Earth's surface and can be mapped through analysis of remotely sensed imagery or field surveys, with accurate land cover information supporting applications like planning, disaster management, and policy development.
Collection and Interpretation of Remote Sensing Data, Kasper Johansen, Univer...becnicholas
This document discusses the collection and interpretation of remote sensing data. It begins by introducing remote sensing and its applications, such as mapping biomass, surface temperature, elevation, coral reefs, and flooding from cyclones. It then discusses how to collect remote sensing data from various sources and the associated costs. The document presents a case study on mapping the condition of savanna riparian zones in northern Australia through field surveys and high-resolution image data. Field data on vegetation parameters was collected and biophysical models were developed to map canopy cover and other metrics.
Validation of a high-resolution, remotely operated aerial remote-sensing syst...Angelo State University
The study validated the use of a high-resolution remote sensing system based on a radio-controlled helicopter to identify herbaceous plant species. The system, called Falcon-PARS, obtained 1 cm resolution images of a wetland in Japan dominated by Phragmites australis and Miscanthus sacchariflorus from a 30m flying height. Visual interpretation of the high-resolution images allowed the researchers to distinguish between the two dominant species. The system provided positioning accuracy of less than 1m, allowing multi-temporal monitoring without damaging the fragile wetland vegetation.
This document provides an introduction to aerial photography and remote sensing. It discusses key topics such as:
- The basic concepts and terminology of aerial photography, including flight height, focal length, scale, and camera geometry.
- The different types of aerial photographs, including vertical, low-oblique, and high-oblique views.
- Factors that influence photo quality, such as weather conditions, camera equipment, and processing methods.
- The principles of photogrammetry and stereo viewing, including parallax and stereoscopes.
- Common image interpretation elements like shape, size, tone, texture, pattern, site, association, and shadows.
- An overview of remote sensing concepts like
This document provides an overview of a seminar on remote sensing, GIS and their application for soil fertility mapping. It introduces remote sensing concepts like passive and active sensing, platforms like aircraft and satellites, and multispectral sensors. It discusses how GIS organizes geographic data and examples of data sources. The document presents a case study that mapped soil properties in Mathura District, India using remote sensing and GIS techniques. It describes the digitizing process in ArcGIS and studies on mapping clay minerals and soil contamination with spectroscopy. The document concludes that remote sensing and GIS can efficiently map large areas to aid in crop selection and productivity.
Application of Remote Sensing in AgricultureUTTAM KUMAR
Remote sensing has been found to be a valuable tool in evaluation, monitoring and management of land, water and crop resources. The launching of the Indian remote sensing satellite (IRS) has enhanced the capabilities for better utilization of this technology and significant progress has been made in soil and land cover mapping, land degradation studies, monitoring of waste land, assessment of crop conditions crop acreage and production estimates
Remote sensing is the acquisition of information about an object or phenomenon without making physical contact with the object and thus in contrast to in situ observation. In modern usage, the term generally refers to the use of aerial sensor technologies to detect and classify objects on Earth (both on the surface, and in the atmosphere and oceans) by means of propagated signals (e.g. electromagnetic radiation). It may be split into active remote sensing (when a signal is first emitted from aircraft or satellites)[1][2][3] or passive (e.g. sunlight) when information is merely recorded.
1) The document describes a method for mapping small land parcels using a UAV integrated with terrestrial geo-referencing. A UAV equipped with a camera flies over the area to be mapped while a total station on the ground measures the camera position to geo-reference the aerial photos.
2) Several UAV designs were considered, including fixed-wing and quadcopter, with quadcopter selected for its ability to hover, fly slowly, and synchronize photos with total station measurements. A quadcopter was outfitted with a camera, navigation system, and signaling lights cued to photo capture.
3) Photos are geo-referenced by measuring the camera position with a total station using trigonometric methods
This document provides an overview of geospatial technology and its applications. It defines geospatial technology as a suite of technologies including GIS, remote sensing, and GPS that help capture, store, process and display spatially-referenced data. It describes new courses and an A.A.S. in Geospatial Technology offered at BCC, as well as internship opportunities with various organizations. It also discusses how geospatial technology is an emerging high-growth field and how the BCC Geospatial Center provides students opportunities to learn skills for careers in this field.
Soil mapping , remote sensing and use of sensors in precision farmingDr. M. Kumaresan Hort.
Soil mapping involves identifying different soil types, recording their properties and locations on maps. Soil maps show the spatial distribution of soils and are used for land evaluation, planning, and environmental protection. Digital soil mapping uses statistical, data mining and GIS tools to create more detailed and accurate soil maps. Remote sensing uses electromagnetic radiation to image land, oceans, and the atmosphere from ground, air, or space. It provides data that can be used to identify crops, estimate yields, and monitor land and crop conditions. Precision farming uses remote sensing and GNSS data in geographical information systems to help make crop management decisions.
REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEMS AM Publications
Remote sensing technology's increasing accessibility helps us observe research and learn about our globe in ways we could only imagine a generation ago. Guides to profound knowledge of historical, conceptual and practical uses of remote sensing which is increasing GIS technology. This paper will go briefly through remote sensing benefits, history, technology and the GIS and remote sensing integration and their applications. Remote sensing (RS) is used in mapping the predicted and actual species and dominates the ecosystem canopy.
Remote sensing involves acquiring information about the Earth's surface without direct contact using sensors to detect electromagnetic radiation. There are 7 steps in the remote sensing process: illumination, interaction with the atmosphere, interaction with the target, recording by sensors, transmission and processing, interpretation and analysis, and application. Remote sensing uses different parts of the electromagnetic spectrum and has many applications including mapping agriculture, forests, geology, hydrology, and land cover. It is used to monitor crops, estimate yields, assess forest health, explore for minerals and hydrocarbons, map wetlands and floodplains, and create land use maps.
This document summarizes a seminar on remote sensing technologies guided by Mr. B. S. Manjare from the P.G. Department of Geology at Rashtrasant Tukadoji Maharaj Nagpur University. The seminar covered the history and objectives of India's space program, types of satellites and launch vehicles used, characteristics of the Indian Remote Sensing satellite series, applications of remote sensing in geology, and India's roadmap for future space missions. Key topics discussed included the various generations of IRS satellites with improving sensors, applications of remote sensing for natural resource management and disaster monitoring, and India's goals of developing reusable launch vehicles and satellites with advanced capabilities.
Remote Sensing Applications in Agriculture in PakistanGhulam Asghar
"Remote sensing is the science of acquiring, processing, and Interpreting images and related data without physical contact with object that are obtained from ground based, air or space-borne instruments that record the interaction between target and electromagnetic radiation."
Lec_13_Introduction to Remote Sensing (RS)Atiqa khan
Remote sensing involves obtaining information about objects without direct contact using sensors to measure reflected or emitted electromagnetic radiation. It includes gathering data from aircraft or spacecraft using techniques ranging from aerial photographs to satellite images. The basic principle is that electromagnetic radiation interacts with the atmosphere and earth, and radiation reflected or emitted from objects is the source of remote sensing data.
The document provides details about a course on fundamentals of remote sensing, including:
- The course code, module name and code, university, and department offering the course.
- An outline of the course content and schedule, divided into 3 weeks covering topics like introduction to remote sensing, electromagnetic energy and remote sensing, satellites and image characteristics, and GPS.
- Recommended assessments including tests, lab exercises, and a group project to evaluate students' understanding of the material.
This document provides an overview of remote sensing and aerial photography. It begins by defining remote sensing as acquiring information about objects or events from a distance without direct contact, using sensors on airborne or spaceborne platforms. It then discusses the history of aerial photography from the 1850s to World War II, when it matured and became a crucial military tool. The document outlines various types of aerial photographs and platforms used, and concludes by describing common uses of aerial photography such as cartography, environmental studies, and surveillance.
GIS is useful for various applications in geology. It can be used to create 3D models combining subsurface and surface data for structural and alteration studies to aid exploration. In engineering geology, GIS allows integrating layers like geology and rainfall maps to identify areas at risk for acid mine drainage. When exploring for oil, GIS helps plan and track gravity surveys ensuring correct station locations. It also provides a platform to integrate seismic, well, and remote sensing data to generate new structural maps and models. In geo-hazards, historical earthquake data in GIS helps identify high-risk areas for planning and emergency management. GIS also aids in lava flow modeling for development and evacuation planning.
This document discusses remote sensing. It defines remote sensing as acquiring information about objects without direct contact, using electromagnetic radiation. It describes how remote sensing uses platforms like aircraft and satellites to collect passive and active sensor data. It provides examples of different sensor types, including photography, infrared, LIDAR, and multispectral scanning. It also discusses important remote sensing concepts like spatial, spectral, radiometric, and temporal resolution. Finally, it highlights how the SLOSH model uses remote sensing data to accurately predict hurricane storm surges and inundation areas.
This document provides an overview of using remote sensing and GIS in the petroleum industry. It discusses remote sensing concepts and techniques like platforms, cameras, and scanners used to collect geospatial data. It then discusses GIS and how spatial features are stored and layered with attributes for mapping and analysis. As an example, it focuses on applying these tools to study oil formation, exploration, production, and pollution in the UAE. The document aims to explain how remote sensing and GIS can help operations across the petroleum industry life cycle from exploration to environmental monitoring.
Remote sensing by Priyanshu kumar, 9608684800PRIYANSHU KUMAR
1. The document discusses remote sensing, including its history, types, principles, stages, and applications.
2. Remote sensing involves acquiring information about an object without physical contact using propagated signals like electromagnetic radiation from aerial sensors.
3. It has military, commercial, and scientific uses such as mapping terrain and monitoring the environment.
This document discusses satellite remote sensing. It provides details on different types of remote sensing satellites including Landsat, MODIS, SPOT, IRS series, and IKONOS. It also describes various sensors used in remote sensing such as MSS, TM, HRV, LISS, PAN, and WiFS. The document discusses the basic principles, components, and applications of remote sensing from satellites for land resources survey, environmental monitoring, and other purposes.
Remote sensing is the science of acquiring information about objects or areas from a distance, typically from aircraft or satellites. Key points of remote sensing include:
1) It allows observation and analysis of an area without direct contact, using sensors to measure electromagnetic radiation reflected or emitted from the target.
2) Remote sensing has evolved from early aerial photography to include various imaging technologies using different parts of the electromagnetic spectrum.
3) Common types of remote sensing include optical, thermal, and microwave sensors, each suited to different applications depending on wavelength.
This document discusses remote sensing systems. It begins with an introduction to remote sensing as gathering information from objects without direct contact. It then covers the history of remote sensing from early aerial photography to modern satellite systems. The document outlines different types of remote sensing including passive methods like photography and radiometers and active methods like RADAR and LiDAR. It provides examples of remote sensing applications and techniques. Finally, it describes different optical, RADAR, and LiDAR remote sensing systems and how they work.
Photogrammetry is the science of obtaining reliable measurements from photographs. There are three main techniques: aerial, using vertically downward photos from planes or satellites; terrestrial, using horizontal photos on the ground; and industrial, adapting terrestrial techniques to small areas. Aerial photos are used for topographic mapping, cadastral plans, land use maps, and hydrographic charts. Stereo plotters allow precise 3D measurement and analysis from stereo photo pairs. Photogrammetry has many applications beyond traditional surveying, including traffic accident reconstruction, medical imaging, and analysis of surface movement.
This document discusses the concept and history of remote sensing. It provides examples of different types of remote sensing technologies including cameras on satellites, multispectral imaging, radar, and medical imaging tools. It also outlines some applications of remote sensing such as military surveillance, medical diagnostics, and mineral exploration.
The document provides an introduction to geographic information systems (GIS) and remote sensing. It discusses how GIS organizes and analyzes spatial data through data management, analysis, and visualization. It describes different data types including vector, raster, and imagery data. It also explains key concepts such as layers, modeling geospatial reality, and coding vector and raster data. The document outlines advantages and disadvantages of vector and raster data models. It introduces remote sensing and describes platforms and sensors used to collect spatial data from aircraft and satellites.
This document provides an overview of remote sensing through a seminar presented by Ashwathy Babu Paul. It defines remote sensing as obtaining information about an object without physical contact through electromagnetic radiation. It describes the basic components and process of remote sensing systems including energy sources, sensor recording, transmission and processing. Various sensors and platforms are discussed along with advantages and applications in fields like agriculture, natural resource management, national security, geology, meteorology, and more. Challenges are addressed but advantages of remote sensing are said to far outweigh these.
Remote sensing is the acquisition of information about an object or phenomenon without making physical contact with the object and thus in contrast to in situ observation. In modern usage, the term generally refers to the use of aerial sensor technologies to detect and classify objects on Earth (both on the surface, and in the atmosphere and oceans) by means of propagated signals (e.g. electromagnetic radiation). It may be split into active remote sensing (when a signal is first emitted from aircraft or satellites)[1][2][3] or passive (e.g. sunlight) when information is merely recorded.
1) The document describes a method for mapping small land parcels using a UAV integrated with terrestrial geo-referencing. A UAV equipped with a camera flies over the area to be mapped while a total station on the ground measures the camera position to geo-reference the aerial photos.
2) Several UAV designs were considered, including fixed-wing and quadcopter, with quadcopter selected for its ability to hover, fly slowly, and synchronize photos with total station measurements. A quadcopter was outfitted with a camera, navigation system, and signaling lights cued to photo capture.
3) Photos are geo-referenced by measuring the camera position with a total station using trigonometric methods
This document provides an overview of geospatial technology and its applications. It defines geospatial technology as a suite of technologies including GIS, remote sensing, and GPS that help capture, store, process and display spatially-referenced data. It describes new courses and an A.A.S. in Geospatial Technology offered at BCC, as well as internship opportunities with various organizations. It also discusses how geospatial technology is an emerging high-growth field and how the BCC Geospatial Center provides students opportunities to learn skills for careers in this field.
Soil mapping , remote sensing and use of sensors in precision farmingDr. M. Kumaresan Hort.
Soil mapping involves identifying different soil types, recording their properties and locations on maps. Soil maps show the spatial distribution of soils and are used for land evaluation, planning, and environmental protection. Digital soil mapping uses statistical, data mining and GIS tools to create more detailed and accurate soil maps. Remote sensing uses electromagnetic radiation to image land, oceans, and the atmosphere from ground, air, or space. It provides data that can be used to identify crops, estimate yields, and monitor land and crop conditions. Precision farming uses remote sensing and GNSS data in geographical information systems to help make crop management decisions.
REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEMS AM Publications
Remote sensing technology's increasing accessibility helps us observe research and learn about our globe in ways we could only imagine a generation ago. Guides to profound knowledge of historical, conceptual and practical uses of remote sensing which is increasing GIS technology. This paper will go briefly through remote sensing benefits, history, technology and the GIS and remote sensing integration and their applications. Remote sensing (RS) is used in mapping the predicted and actual species and dominates the ecosystem canopy.
Remote sensing involves acquiring information about the Earth's surface without direct contact using sensors to detect electromagnetic radiation. There are 7 steps in the remote sensing process: illumination, interaction with the atmosphere, interaction with the target, recording by sensors, transmission and processing, interpretation and analysis, and application. Remote sensing uses different parts of the electromagnetic spectrum and has many applications including mapping agriculture, forests, geology, hydrology, and land cover. It is used to monitor crops, estimate yields, assess forest health, explore for minerals and hydrocarbons, map wetlands and floodplains, and create land use maps.
This document summarizes a seminar on remote sensing technologies guided by Mr. B. S. Manjare from the P.G. Department of Geology at Rashtrasant Tukadoji Maharaj Nagpur University. The seminar covered the history and objectives of India's space program, types of satellites and launch vehicles used, characteristics of the Indian Remote Sensing satellite series, applications of remote sensing in geology, and India's roadmap for future space missions. Key topics discussed included the various generations of IRS satellites with improving sensors, applications of remote sensing for natural resource management and disaster monitoring, and India's goals of developing reusable launch vehicles and satellites with advanced capabilities.
Remote Sensing Applications in Agriculture in PakistanGhulam Asghar
"Remote sensing is the science of acquiring, processing, and Interpreting images and related data without physical contact with object that are obtained from ground based, air or space-borne instruments that record the interaction between target and electromagnetic radiation."
Lec_13_Introduction to Remote Sensing (RS)Atiqa khan
Remote sensing involves obtaining information about objects without direct contact using sensors to measure reflected or emitted electromagnetic radiation. It includes gathering data from aircraft or spacecraft using techniques ranging from aerial photographs to satellite images. The basic principle is that electromagnetic radiation interacts with the atmosphere and earth, and radiation reflected or emitted from objects is the source of remote sensing data.
The document provides details about a course on fundamentals of remote sensing, including:
- The course code, module name and code, university, and department offering the course.
- An outline of the course content and schedule, divided into 3 weeks covering topics like introduction to remote sensing, electromagnetic energy and remote sensing, satellites and image characteristics, and GPS.
- Recommended assessments including tests, lab exercises, and a group project to evaluate students' understanding of the material.
This document provides an overview of remote sensing and aerial photography. It begins by defining remote sensing as acquiring information about objects or events from a distance without direct contact, using sensors on airborne or spaceborne platforms. It then discusses the history of aerial photography from the 1850s to World War II, when it matured and became a crucial military tool. The document outlines various types of aerial photographs and platforms used, and concludes by describing common uses of aerial photography such as cartography, environmental studies, and surveillance.
GIS is useful for various applications in geology. It can be used to create 3D models combining subsurface and surface data for structural and alteration studies to aid exploration. In engineering geology, GIS allows integrating layers like geology and rainfall maps to identify areas at risk for acid mine drainage. When exploring for oil, GIS helps plan and track gravity surveys ensuring correct station locations. It also provides a platform to integrate seismic, well, and remote sensing data to generate new structural maps and models. In geo-hazards, historical earthquake data in GIS helps identify high-risk areas for planning and emergency management. GIS also aids in lava flow modeling for development and evacuation planning.
This document discusses remote sensing. It defines remote sensing as acquiring information about objects without direct contact, using electromagnetic radiation. It describes how remote sensing uses platforms like aircraft and satellites to collect passive and active sensor data. It provides examples of different sensor types, including photography, infrared, LIDAR, and multispectral scanning. It also discusses important remote sensing concepts like spatial, spectral, radiometric, and temporal resolution. Finally, it highlights how the SLOSH model uses remote sensing data to accurately predict hurricane storm surges and inundation areas.
This document provides an overview of using remote sensing and GIS in the petroleum industry. It discusses remote sensing concepts and techniques like platforms, cameras, and scanners used to collect geospatial data. It then discusses GIS and how spatial features are stored and layered with attributes for mapping and analysis. As an example, it focuses on applying these tools to study oil formation, exploration, production, and pollution in the UAE. The document aims to explain how remote sensing and GIS can help operations across the petroleum industry life cycle from exploration to environmental monitoring.
Remote sensing by Priyanshu kumar, 9608684800PRIYANSHU KUMAR
1. The document discusses remote sensing, including its history, types, principles, stages, and applications.
2. Remote sensing involves acquiring information about an object without physical contact using propagated signals like electromagnetic radiation from aerial sensors.
3. It has military, commercial, and scientific uses such as mapping terrain and monitoring the environment.
This document discusses satellite remote sensing. It provides details on different types of remote sensing satellites including Landsat, MODIS, SPOT, IRS series, and IKONOS. It also describes various sensors used in remote sensing such as MSS, TM, HRV, LISS, PAN, and WiFS. The document discusses the basic principles, components, and applications of remote sensing from satellites for land resources survey, environmental monitoring, and other purposes.
Remote sensing is the science of acquiring information about objects or areas from a distance, typically from aircraft or satellites. Key points of remote sensing include:
1) It allows observation and analysis of an area without direct contact, using sensors to measure electromagnetic radiation reflected or emitted from the target.
2) Remote sensing has evolved from early aerial photography to include various imaging technologies using different parts of the electromagnetic spectrum.
3) Common types of remote sensing include optical, thermal, and microwave sensors, each suited to different applications depending on wavelength.
This document discusses remote sensing systems. It begins with an introduction to remote sensing as gathering information from objects without direct contact. It then covers the history of remote sensing from early aerial photography to modern satellite systems. The document outlines different types of remote sensing including passive methods like photography and radiometers and active methods like RADAR and LiDAR. It provides examples of remote sensing applications and techniques. Finally, it describes different optical, RADAR, and LiDAR remote sensing systems and how they work.
Photogrammetry is the science of obtaining reliable measurements from photographs. There are three main techniques: aerial, using vertically downward photos from planes or satellites; terrestrial, using horizontal photos on the ground; and industrial, adapting terrestrial techniques to small areas. Aerial photos are used for topographic mapping, cadastral plans, land use maps, and hydrographic charts. Stereo plotters allow precise 3D measurement and analysis from stereo photo pairs. Photogrammetry has many applications beyond traditional surveying, including traffic accident reconstruction, medical imaging, and analysis of surface movement.
This document discusses the concept and history of remote sensing. It provides examples of different types of remote sensing technologies including cameras on satellites, multispectral imaging, radar, and medical imaging tools. It also outlines some applications of remote sensing such as military surveillance, medical diagnostics, and mineral exploration.
The document provides an introduction to geographic information systems (GIS) and remote sensing. It discusses how GIS organizes and analyzes spatial data through data management, analysis, and visualization. It describes different data types including vector, raster, and imagery data. It also explains key concepts such as layers, modeling geospatial reality, and coding vector and raster data. The document outlines advantages and disadvantages of vector and raster data models. It introduces remote sensing and describes platforms and sensors used to collect spatial data from aircraft and satellites.
This document provides an overview of remote sensing through a seminar presented by Ashwathy Babu Paul. It defines remote sensing as obtaining information about an object without physical contact through electromagnetic radiation. It describes the basic components and process of remote sensing systems including energy sources, sensor recording, transmission and processing. Various sensors and platforms are discussed along with advantages and applications in fields like agriculture, natural resource management, national security, geology, meteorology, and more. Challenges are addressed but advantages of remote sensing are said to far outweigh these.
This document discusses remote sensing platforms and sensors. It describes the different types of orbits used by remote sensing satellites, including low Earth orbit, sun synchronous orbit, and geostationary orbit. It also outlines the various platforms that can be used, such as ground-based, airborne, and space-borne. Finally, it examines the characteristics of remote sensing sensors, including spatial, spectral, radiometric, and temporal resolution.
The document presents a presentation on Geographic Information Systems (GIS). It includes sections on what GIS is, its capabilities and components. GIS is a computer system for capturing, storing, analyzing and managing geographic information and spatial data. The key components of a GIS include hardware, software, data and people. GIS has many applications and uses spatial data and analysis to solve problems across many different domains.
IRJET- Tool: Segregration of Bands in Sentinel Data and Calculation of NDVIIRJET Journal
This document discusses using satellite imagery and vegetation indices to analyze and map vegetation. It summarizes several research papers on using the Normalized Difference Vegetation Index (NDVI) with different sensors and techniques. Specifically, it examines calculating NDVI from mountain terrain satellite data, using selected bands from Sentinel-2 satellite data for agriculture applications, extracting buildings from satellite images using shadow detection, and applying NDVI to unmanned aerial system multispectral remote sensing for post-disaster assessment. The document also discusses preprocessing techniques and algorithms like random forests and support vector machines for satellite image classification.
This document summarizes a study that used artificial neural networks to estimate soil moisture levels from cosmic ray sensor neutron count data. Specifically:
- Five neural networks (FFBPN, MLPN, RBFN, Elman, PNN) were tested on cosmic ray sensor data from two Australian sites to estimate soil moisture levels from the Australian Water Availability Project database.
- The Elman neural network achieved the best performance, estimating soil moisture levels with 94% accuracy for one site and 91% accuracy for the other.
- This study demonstrated that neural networks can effectively estimate continuous soil moisture levels remotely using cosmic ray sensor neutron count time series data as input.
Supervised machine learning based dynamic estimation of bulk soil moisture us...eSAT Journals
Abstract In this paper artificial neural network based sensor informatics architecture has been investigated; including proposed continuous daily estimation of area wise surface soil moisture using cosmic ray sensor’s neutron count time series. Study was conducted based on cosmic ray data available from two Australian locations. The main focus of this study was to develop a data driven approach to convert neutron counts into area wise ground surface soil moisture estimates. Independent surface soil moisture data from the Australian Water Availability Project (AWAP) was used as ground truth. A comparative study using five different types of neural networks, namely, Feed Forward Back Propagation (FFBPN), Multi-Layer Perceptron (MLPN), Radial Basis Function (RBFN), Elman (EN), and Probabilistic networks (PNN) was conducted to evaluate the overall soil moisture estimation accuracy. Best performance from the Elman network outperformed all other neural networks with 94% accuracy with 92% sensitivity and 97% specificity based on Tullochgorum data. Overall high accuracy proved the effectiveness of the Elman neural network to estimate surface soil moisture continuously using cosmic ray sensors. Index Terms: Artificial Neural Network, Surface Soil Moisture, Cosmic Ray Sensors, Neutron Counts.
The document describes the INSpIRe initiative, which aims to establish a remotely operable observatory to study geocoronal hydrogen and other near-space phenomena. The observatory will integrate two Fabry-Perot spectrometers and one spatial heterodyne spectrometer. Researchers from Embry-Riddle Aeronautical University, NASA Goddard Space Flight Center, and the University of Wisconsin-Madison are collaborating on the project. The observatory is currently under development at ERAU and will allow remote observations to investigate important questions about the distribution and variability of atomic hydrogen in the upper atmosphere and exosphere.
The document provides an overview of the 2010 CEOS Land Comparison campaign carried out at Tuz Gölü, Turkey from August 13-27, 2010. The campaign involved cross-calibration of field instrumentation from multiple international teams at the Tuz Gölü site and in laboratories. Measurements included spectral reflectance, BRDF characterization, and atmospheric measurements to characterize the site for satellite calibration and validation. The campaign helped establish best practices and traceability for satellite calibration sites.
The document discusses geospatial technology and geospatial data. Geospatial technology deals with techniques for geospatial data, which is data that includes information about locations on Earth, such as latitude and longitude. Some key techniques discussed are remote sensing using platforms like satellites and aircraft, as well as GIS for storing, manipulating and analyzing geospatial data from sources like GPS and remote sensing.
- A study was carried out using drones to monitor and understand an active landslide through spatial and temporal measurements. Ground control points were placed and drone images were processed into an orthomosaic and digital terrain model to analyze displacement. Errors in the georeferencing were quantified by comparing GCP locations to GPS. The study demonstrated drones can reveal high-resolution imagery of landslides useful for identifying cracks. Recommendations included autonomous drone control for stability and operating drones where satellites are not economically viable or efficient.
The document summarizes a flight test campaign conducted by Boeing in November 2007 using an Unmanned Little Bird (ULB) helicopter to demonstrate sensor and avionics technologies relevant for future lunar and planetary landers. Over 13 flight test hours were performed across 14 flights. Experiments included emulating lunar lander descent trajectories, testing a 3D imaging LADAR system, evaluating a passive imaging system for crater navigation, and demonstrating a precision radio beacon navigation system. All experiments were successfully completed and yielded satisfactory results, validating the technologies for real-time testing in environments simulating the moon or Mars.
The document discusses the role of science and operations in developing the James Webb Space Telescope mission. It describes the science goals that JWST aims to address, including detecting the first galaxies and studying star and planet formation. It outlines the key instruments onboard and discusses how STScI will manage science operations and the ground system once JWST is launched. STScI has been influencing mission development to help achieve the science objectives through activities like simulations, requirements development, and system trades.
The document discusses the role of science and operations in developing the James Webb Space Telescope mission. It describes the science goals that JWST aims to address, including detecting the first galaxies and studying star and planet formation. It outlines the key instruments onboard and discusses how STScI will manage science operations and the ground system. STScI has provided input during development to optimize science return and operations efficiency. Challenges include balancing momentum management with stray light avoidance and ensuring sufficient early funding.
The document discusses the role of science and operations in developing the James Webb Space Telescope mission. It describes the science goals that JWST aims to address, including detecting the first galaxies and studying star and planet formation. It outlines the key instruments onboard and discusses how STScI will manage science operations and the ground system. STScI has provided input during development to optimize science return and operations efficiency. Challenges include balancing momentum management with stray light avoidance and ensuring sufficient early funding.
The document discusses the role of science and operations in developing the James Webb Space Telescope mission. It describes the science goals that JWST aims to address, including detecting the first galaxies and studying star and planet formation. It outlines the key instruments onboard and discusses how STScI will manage science operations and the ground system once JWST is launched. STScI has been influencing mission development to help achieve the science objectives through activities like simulations, requirements development, and system trades.
ARTIFICIAL intelligence technique for space exploration TECHNICAL SEMINAR.pptxPoorvikaNPoorvi
This document summarizes a technical seminar presentation on techniques of artificial intelligence for space applications. The presentation discusses how AI enables autonomous operations of spacecraft through machine learning algorithms and predictive maintenance. It also examines how AI facilitates data analysis of information collected from space missions using neural networks and natural language processing. Computer vision plays a key role in autonomous navigation and object recognition for space exploration. The advantages of AI include enabling autonomous decision-making to reduce human intervention and optimizing resource management for space missions.
ARTIFICIAL intelligence technique for space exploration TECHNICAL SEMINAR.pptxPoorvikaNPoorvi
This document summarizes a technical seminar presentation on techniques of artificial intelligence for space applications. The presentation discusses how AI enables autonomous operations of spacecraft through machine learning algorithms and predictive maintenance. It also examines how AI facilitates data analysis of information collected from space missions using neural networks and natural language processing. Computer vision plays a key role in autonomous navigation and object recognition for space exploration. The advantages of AI include enabling autonomous decision-making to reduce human intervention and optimizing resource management for space missions.
Autonomous surface vessel for search and rescue operationjournalBEEI
Search and rescue operation is performed to save human life, for example during natural disasters, unfortunate incidents on the land, in the deepwater, or lakes. There were incidents happened to the search and rescue crew during the operation although they were well trained. A new method using robotic technology is important to reduce the crew's risk during operations. This research proposed a development of an autonomous surface vessel for search and rescue operations for deepwater applications. The proposed autonomous surface vessel is equipped with a global positioning system (GPS) and underwater sensor to search for the victims, black box, debris, or other evidence on the surface and underwater. The vessel was designed with monitoring and control via radio frequency wireless communication. The autonomous surface vessel prototype was developed and tested successfully with the telemetry at the ground station. The ground station acts as the control centre of the overall system. Results showed the vessel successfully operated autonomously. The operator at the ground station was able to monitor the sensor data and control the vessel's manoeuvre according to the created path. The telemetry coverage to monitor the water surroundings and control the vessel's manoeuvre was around 100 meters.
This document discusses using k-means clustering to detect minerals from remote sensing images. It begins with an abstract describing using k-means clustering on hyperspectral images to segment and extract features to detect minerals like giacomo. It then provides background on remote sensing, k-means clustering algorithms, and describes the giacomo mineral deposit in Peru that contains silicon dioxide and titanium dioxide. It concludes with discussing using sobel edge detection as part of the mineral detection process from remote sensing images.
Architectural study of littoral zone sensing using underwater acoustic wirele...IAEME Publication
This document summarizes and discusses different architectural approaches for deploying underwater wireless sensor networks to monitor coastal environments. It describes Pompili and Melodia's 2D and 3D static architectures where sensor nodes are anchored to the seabed or attached to buoys at various depths. It also discusses challenges like energy efficiency, node mobility, and propagation delays. Modified 3D architectures are proposed where nodes can dynamically adjust their depths using engines. Finally, it introduces a multipath virtual sink architecture using clustering and local aggregation points to improve reliability and robustness of data transmission.
The document discusses INPE/CRAAM's contribution to the DemoGRAPE project. DemoGRAPE aims to demonstrate the usefulness of a proposed system for applications like positioning, space weather monitoring, solid Earth studies, and polar cap dynamics. It proposes joining international efforts to monitor and study the high-latitude ionosphere. This is important because the ionosphere at auroral and polar latitudes is highly variable, making conditions unpredictable. The DemoGRAPE project will design a cloud-based demonstrator, collect new multi-constellation GNSS data, standardize data, and provide public access to validated data and tools through a web portal to disseminate the project. INPE offers to host a new installation at the E
Comparative Study of Indoor Navigation Systems for Autonomous FlightTELKOMNIKA JOURNAL
Recently, Unmanned Aerial Vehicles (UAVs) have attracted the society and researchers due to
the capability to perform in economic, scientific and emergency scenarios, and are being employed in large
number of applications especially during the hostile environments. They can operate autonomously for
both indoor and outdoor applications mainly including search and rescue, manufacturing, forest fire
tracking, remote sensing etc. For both environments, precise localization plays a critical role in order to
achieve high performance flight and interacting with the surrounding objects. However, for indoor areas
with degraded or denied Global Navigation Satellite System (GNSS) situation, it becomes challenging to
control UAV autonomously especially where obstacles are unidentified. A large number of techniques by
using various technologies are proposed to get rid of these limits. This paper provides a comparison of
such existing solutions and technologies available for this purpose with their strengths and limitations.
Further, a summary of current research status with unresolved issues and opportunities is provided that
would provide research directions to the researchers of the similar interests.
This document provides an overview of remote sensing and geographic information systems (GIS) in agriculture. It discusses the history and processes of remote sensing and GIS. Remote sensing involves collecting data from aircraft or satellites using sensors, while GIS involves capturing, storing, analyzing and displaying spatially referenced data on a map. The document outlines various applications of remote sensing and GIS in agriculture such as crop monitoring and yield estimation. It also presents case studies on using these technologies for agro-advisory services, locust monitoring, and land suitability analysis for crops. In conclusion, remote sensing and GIS are useful tools for solving agricultural problems by identifying issues like pests and diseases and enabling change detection over time.
Similar to The use of an unmanned aerial vehicle as a remote sensing platform in agriculture* (20)
The poem discusses how one is not truly an individual but rather a composite of their ancestors and family who live on within them. Various physical features and mannerisms are inherited from parents and beyond. One "floats on the river" of their family tree, comprised of those who came before. There is no true separation or privacy of self - one contains and is contained by their lineage. The goal is to accept this interconnectedness and allow oneself to be permeable to others, welcoming the world in like an open door or sponge.
What happens when we read for visual thinking, narration, and explanation jun...Angelo State University
We use metaphors to understand and discuss the experience of reading. When we read, our minds draw on conceptual metaphors that frame it as a physical activity involving sight and the body. Reading allows for both private experiences of books as well as public experiences of sharing ideas and building understanding with others. The goal of teaching reading should be giving students opportunities to directly engage with texts through meaningful personal experiences.
This document contains sample responses to chapter 11 of Hale's Sin and Syntax that reference and cite specific pages from the chapter. The responses discuss proper placement of prepositional phrases, use of commas after introductory prepositional phrases, and how words, phrases and clauses work together to keep sentences clear.
This document contains sample responses to chapter 9 of Hale's book "Sin and Syntax" on subjects and predicates. It includes 12 citations from the chapter discussing key ideas around sentence structure, including how sentence fragments lack subjects or verbs, how excessive modifiers slow down sentences, and how subjects and predicates should not be separated by too many clauses to avoid losing the reader. It emphasizes keeping sentences simple with a clear subject and predicate.
This document provides information about an English grammar course titled English 4361 at Angelo State University. The course will be taught on Tuesdays and Thursdays from 8:00-9:15am in room A005 by Dr. Laurence Musgrove. The course will involve a study of grammar, including grammatical forms and functions, sentence structure, and diagramming. Students will be evaluated based on assignments such as exams, responses to readings, and an original grammar handbook. The document outlines the learning outcomes, required texts, assignment details, grading scale, policies on absences and academic honesty, and descriptions of individual assignments for the course.
This document contains sample responses summarizing chapters 7-8 of Hale's Sin and Syntax on conjunctions and interjections. The responses include summaries of key points about conjunctions from the chapter, such as how they connect words, phrases, and clauses. Definitions and examples of interjections are also summarized, such as how interjections are cries, clucks or sudden outbursts placed at the beginning of sentences.
This document provides sample responses to chapter 6 of Hale's Sin and Syntax that discuss prepositions. The responses cite and summarize key points from the chapter, including that prepositions are indispensable but can clutter writing, and replacing clusters of words with single elegant words is preferable. Prepositional phrases should be crafted carefully and add rhythmic value.
This document contains a sample response to chapters 4-5 of Hale's Sin and Syntax summarizing key points about adjectives and adverbs with corresponding citations. The response includes 6 summaries of ideas from the text, such as that adjectives modify nouns while adverbs modify verbs, adjectives, or other adverbs. Placement of adjectives and adverbs is important, and excess words should be avoided.
Here are a few sample handmade responses from the second time students in this advanced English course on grammar have used handmade responses for drawing their responses to a reading assignment. In this case, chapter 3 of Constance Hale's Sin and Syntax on verbs.
The purpose of the handmade response is to promote reading engagement so that students will be prepared for class discussion of the assigned reading for the day.
.
On the first day of USTD 1101: Strategies of Learning, an 8 week college course designed to help students on academic probation obtain successful learning habits, I asked these 19 students to write for about 5 minutes on their thoughts, feelings, and attitudes about being on probation and having to take this course.
I then asked them to draw a picture that reflected in some way what they had written.
This document contains sample responses to Chapter 2 of Hale's Sin and Syntax on the topic of pronouns. Each response includes a quotation from the chapter and corresponding citation. The responses discuss topics such as pronouns being finite and predictable unlike nouns, pronouns standing in for nouns, expletive pronouns, possessive pronouns, and maintaining the antecedent for pronouns.
The purpose of this presentation is to share how I often use drawing in my classes to help me and my students to review their feelings toward the course topic.
In the slides that follow, I share how my students in an advanced course on English grammar depicted their initial feelings through drawing and how I intend for them to use those drawings in future assignments.
1. The document argues that visualization is essential to reading comprehension and that "without visualization, students cannot comprehend, and reading cannot be said to be reading."
2. It promotes using drawing as a way to increase student engagement, comprehension, creative problem-solving and critical thinking when combined with reading. Drawing focuses the mind and leads to greater engagement and presence.
3. The document provides guidance on simple drawing strategies and choices in visual formats to accompany reading, with the goal of improving reading, learning, and thinking.
Autonomous and cooperative robotic behavior based on fuzzy logic and genetic ...Angelo State University
This document discusses algorithms for autonomous cooperation between unmanned aerial vehicles (UAVs) based on fuzzy logic and genetic programming. It describes how the algorithms determine sampling points, flight paths, and optimal UAV assignments to complete an atmospheric measurement mission. A fuzzy decision tree called the AUP tree is used for real-time path assignment of UAVs. The document also discusses using a genetic program to automatically evolve the AUP fuzzy decision tree from sample data to improve its performance.
This document discusses the relationship between science fiction authors and the military community. It provides examples of how science fiction authors have directly advised and consulted with military agencies on future technologies and warfare. In particular, it examines how Robert Heinlein both predicted and potentially influenced the development of advanced personal military equipment through his descriptions in his novel Starship Troopers. The document also describes an interview with a military engineer who acknowledged that science fiction images and ideas have directly shaped areas of technological inquiry and development, even if they cannot discuss specific classified projects.
Evaluation of an Unmanned Airborne System for Monitoring Marine MammalsAngelo State University
The document evaluates the use of an unmanned airborne system (UAS) for monitoring marine mammals. Sixteen surveys were conducted over 10 days to detect 128 simulated whale targets. Various weather conditions were encountered. Logistic regression models found that Beaufort wind force had the strongest influence on detection rates, with target color and inflation also affecting rates. Overall detection rates of simulated large whales using UASs were similar to manned aircraft surveys, though the search area was smaller. The best detection occurred with low (~2) Beaufort wind force. The UAS showed promise but improvements are needed before it could efficiently detect all species.
This document summarizes a study that integrated a fiber optic biosensor onto a small remotely piloted airplane to detect and identify aerosolized bacteria. Key points:
1) Researchers aimed to develop a system that could identify specific bacteria in an aerosol and transmit the data remotely, to warn of potential biological warfare attacks.
2) They integrated a fiber optic biosensor, automated fluidics system, air sampler, radio transceiver and batteries onto a 4.5 kg payload drone.
3) The system was tested at Dugway Proving Ground using harmless releases of Bacillus subtilis var. niger bacteria. It was able to collect the bacteria, identify them in flight, and
This document discusses the benefits of developing common modules and interfaces for robots to support space colonization efforts. It outlines several key robot modules such as control, chassis, propulsion, communications, guidance, power, instrumentation, and payload. Developing common standards for these modules could allow for easier maintenance, replacement of defective parts, and adding new technologies. The document proposes categorizing robot functions into types such as EVbots for extreme environments, Scanbots for mapping areas, Repairbots, Tugbots, Shopbots, Commbots for communications, and Deploybots for delivering payloads. This would help optimize the use of mobile robots and accelerate the acceptance of common modular robotic designs.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
2. 140 “The use of an unmanned aerial vehicle as a remote sensing platform ...” – Jensen, Zeller & Apan
UAV to acquire an image only when at a particular 2 STUDY AREA
location (set of coordinates). The ability of a UAV
to navigate to a particular set of coordinates was, The study area was located at Watts Bridge Memorial
however, detailed in a paper investigating spore Airfield, near Toogoolawah in southeast Queensland,
collection from the air (Schmale III et al, 2008). These (152.460°, –27.098°), Australia (figure 1). The mission
investigators utilised the global position system (GPS) was undertaken between 1300-1600 hours on 5 March
track log to determine the flight path of the UAV. 2008. A slight breeze only became evident in the last
hour of testing.
The purpose of this investigation was to evaluate
a fully autonomous image acquisition system. To
achieve this objective, the ability of the autopilot to 3 PLATFORM
trigger a remote sensing camera system was tested,
and the three-dimensional accuracy of the autopilot To undertake this evaluation, a specially modified
(x, y, z) was also evaluated. The procedures to version of a remotely-controlled “Phoenix
perform this testing and evaluation are detailed in Boomerang” 60-size fixed-wing trainer aircraft
this paper. fitted with an autonomous flight control system was
Figure 1: Location of the Watts Bridge Memorial Airfield.
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3. “The use of an unmanned aerial vehicle as a remote sensing platform ...” – Jensen, Zeller & Apan 141
utilised (Model Sports, n.d.). The platform consisted in Jensen et al (2007). This investigation utilised 5.0
of two 60-size Boomerangs merged together to megapixel Kodak Easyshare CX7525 (Kodak, n.d.)
give a wingspan of just under 3.0 m. The platform digital zoom camera (Eastman Kodak Company,
(figure 2) was powered by an “OS Engines” 91FX Rochester NY). As described in the previous work,
(16 cc) (O. S. Engine, 2011) methanol-glow motor. the two-camera system (one camera to capture the
The baseline avionics on the platform included the colour and the other the NIR portion of the spectrum)
“MicroPilot MP2028g” autopilot (MicroPilot, 2011) was remotely triggered, and was sensitive to NIR
and a “microhard Systems Inc. Spectra 910A” 900 light (once the NIR cut-out filter had been removed).
MHz spread spectrum modem (Microhard Systems
The system was housed in a streamlined pod
Inc., 2011) for communications with the ground
attached to the underside of the fuselage directly
control station. The speed range of the platform was
beneath the wing. The pod was hinged for easy
from 45-120 km/h with cruise speed being 70 km/h.
access and download of the cameras (figure 3). As
The payload of the platform was 3 kg and had a fly
the sensor had been previously triggered using a
time of 25 minutes.
spare output channel of the radio control equipment,
this was easily adapted to suit the autopilot system.
4 THE REMOTE SENSING SYSTEM When the UAV was within a predetermined distance
of the designated location (set prior to take-off at
The remote sensing system used to acquire images 20 m to allow for cross-winds, GPS error and camera
was based on the system developed and detailed misalignment), the autopilot set a spare servo channel
Figure 2: The Queensland University of Technology UAV ready for take-off.
Figure 3: The pod opened to remove the secure digital (SD) cards from the sensors.
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4. 142 “The use of an unmanned aerial vehicle as a remote sensing platform ...” – Jensen, Zeller & Apan
to the maximum output for 600 ms. A microcontroller higher (hence perceived safer) altitude and likewise
(PICAXE-08; Picaxe, n.d.) was programmed to detect to simulate flying over obstructions and coming
this change of state on the designated channel and down to image acquisition height. Once past the
trigger both cameras. The time delay between the target, the UAV resumed normal flying height. After
trigger signal and the shot being taken was 0.5 s 15-20 minutes of autonomous flying, the UAV was
with a further 1-2 s being required for the image to manually landed and the flight log was downloaded
be stored on the memory card. The microprocessor from the autopilot.
also gave both cameras a pulse every 10 s to ensure
The flight log contained 52 columns of information,
that they did not power down.
recorded at 5 Hz. The log contained information
detailing the state of the aircraft and included
5 DEPLOYMENT attributes such as attitude, position, speed, heading
and servo values. Four flights were undertaken on
The UAV was programmed with a flight plan the day of testing with images successfully captured
to do a number of left circuits over a series of on three of these. The second flight had to be aborted
pre-determined waypoints (figure 4). One of the dots and the UAV landed immediately, as conventional
is brighter, indicating that this is the next waypoint aircraft came into the proximity of the UAV. The
that the UAV is heading towards. When passing imagery acquired was analysed to provide flight
above the origin point (the target of the image path accuracies.
acquisition and where the UAV was initialised), the
autopilot triggered the cameras.
6 RESULTS AND DISCUSSION
The take-off of the UAV was performed manually,
under the visual control of a radio-control pilot. A flight path of the three successful missions is shown
Upon reaching a safe altitude (30 m), the UAV was in figure 5. Two circuits were completed on flights
switched into autonomous mode and the autopilot one and three, with three circuits being made on flight
started guiding the aircraft along the set track, with four. Each dot in the circuit represents the latitude
flight height targeted at 120 m above ground level and longitude of the path taken by the UAV that was
(AGL). When the UAV approached the imaging target updated by the GPS every second and recorded in
(the initialisation point) the UAV was instructed to the flight log. The activity around the target area
change altitude to 90 m AGL. The change in altitude and the reduced distance between consecutive dots
was performed so that most of the flight was at a in this area indicates that this was the take-off and
Figure 4: The Horizon Flight Schedule ground control station software showing the path and the
flight details of the UAV being monitored in the autopilot flight software.
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5. “The use of an unmanned aerial vehicle as a remote sensing platform ...” – Jensen, Zeller & Apan 143
Figure 5: The flight paths and target positioning, Watts Bridge on 5 March 2008.
(a) (b)
Figure 6: (a) Image 100_4814 taken at 3:27:44 pm. (b) Image 100_4815 taken just over 3 minutes after
image 100_4814.
landing zone. The flight path is superimposed over The target and waypoints were arranged so that the
a Spot 5 satellite image showing the infrastructure UAV should in theory fly directly down the centre
of the Watts Bridge Memorial Airfield and other of the mowed grass runway that ran northeast-
natural features in close proximity. Also displayed southwest in figure 5. This should have resulted in
are the waypoints used in determining the flight the runway being positioned vertically in the centre
path and the location of the target, over which the of each image acquired. This was not the case. The
images were captured. misalignment was possibly due to a combination
of cross-wind, GPS/autopilot error, the UAV not
An example of two of the images captured on flight
being level when the image was acquired, and/or
four are shown in figure 6. These images were taken
inaccuracies in positioning the sensors in the hinged
on the last circuits made by the UAV on the day.
pod. Defining the errors and refining them was not
Even though the images were acquired a little over
within the scope of this proof-of-concept research.
3 minutes apart, there is good consistency in the
coverage and positioning of the target within both Flight details and inaccuracies in the image acquisition
images. Ideally, if the autopilot was doing a perfect were quantified and detailed in table 1. The scale of
job guiding the UAV, the target should be in the centre the images were determined using GPS coordinates
of the image. As can be seen from the images (figures of known features on the images. The direction of
6), this was not quite the case. flight of the UAV was from the top of the image to
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6. 144 “The use of an unmanned aerial vehicle as a remote sensing platform ...” – Jensen, Zeller & Apan
Table 1: Details of the errors for the images acquired over the target.
Altitude Heading Image offset Image extent Area
Image # Time
ASL (m) (degrees) X (m) Y (m) Absolute X (m) Y (m) (ha)
Flight 1
100_4801 1:32:06 261 150 50.4 8.3 51.1 140.4 104.0 1.46
100_4803 1:35:26 83.7 17.8 85.6 133.4 98.8 1.32
100_4805 1:38:32 59.6 10.2 60.5 137.4 101.8 1.40
Flight 2
100_4806 2:36:10 aborted mission, no data collected
Flight 3
100_4809 2:57:24 216 146 17.2 –1.9 17.3 103.0 76.3 0.79
100_4810 3:00:42 198 132 19.1 0.3 19.1 92.2 68.3 0.63
Flight 4
100_4812 3:21:48 211 113 39.5 6.0 40.0 108.7 80.5 0.88
100_4813 3:24:46 38.2 26.6 46.5 92.0 68.2 0.63
100_4814 3:27:44 192 114 –19.3 14.1 23.9 100.4 74.4 0.75
100_4815 3:30:50 166 125 –9.6 4.9 10.8 73.9 54.7 0.40
the bottom. In the image offset column in table 1, the response of the UAV to changes of the flight schedule.
X distance is the cross-track distance with a positive An altitude plot of flight 4 is shown in figure 7,
value indicating that it is to the left and negative showing the relatively steep climb of the UAV after
to the right of the centre of the image. The offset take-off. Also evident is the loss of altitude, and then
in the direction of flight (undershoot or overshoot) correction, due to the banking of the aircraft when
is indicated by the Y column with a positive value manoeuvring to align to the next waypoint. The
indicating that the image was captured before the saw-toothed nature of the plot, due to the banking,
centre of the image with a negative value indicating indicates that the feedback loops to the autopilot to
after capture. The absolute is the direct distance from control the flight surfaces are not finely tuned enough
the centre of the image to the centre of the target. to optimise performance and ensure stable flight. No
Capturing the target in the image was achieved on attempt was made to refine the triggering accuracy
every flight. However, capturing the target in the in this preliminary study. However, modifications
middle of the image was not as repeatable with the such as; extending the turn area to ensure the aircraft
error ranging from just under 15% of the image width was in straight and level flight when the camera was
(10.8 in 73.9 m; the final image on flight four) to just over target and triggered, or a more stable airframe
over 60% of the image width (85.6 in 133.4 m; the such as an electric glider-style, may have improved
second image of flight one). on the results obtained.
The capacity to accurately acquire images over pre-
determined points is essential to ensure coverage 7 CONCLUSIONS
and to expedite mosaicing of the images. It will also
expand the application of these technologies into This study provides proof-of-concept that a low-cost
the broader-scale applications, such as imaging in auto-piloted UAV can fly on a pre-determined path
broadacre cereal cropping or imaging along transects and acquire images at pre-determined locations. On
(such a river systems, etc.). every attempt, the target was successfully captured in
Differing altitudes were programmed for each flight the images. The proximity of the target to the centre
(table 1). The first flight was undertaken at 250 m of the image varied due to a number of factors such
above sea level (ASL) with the third at 204 m. The as wind speed, direction, aircraft attitude and GPS/
final flight was slightly different. The first image autopilot/camera lags. Improving on the accuracy of
was acquired at the set altitude of 214 m. The three the image acquisition was beyond the scope of this
circuits that followed were flown at this set height; initial evaluation, however some simple measures
however the images were acquired at lower altitudes such as ensuring straight and level flight at image
(194 m for images two and three, and 169 m for the acquisition, a more stable platform, careful orientation
final image). These image acquisition heights were of the camera and a higher update rate GPS would
changed in-flight with the intention of observing the have a beneficial effect on the accuracies obtained.
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7. “The use of an unmanned aerial vehicle as a remote sensing platform ...” – Jensen, Zeller & Apan 145
Figure 7: Altitude details for flight 4 (note the UAV reduced altitude to acquire images).
This autonomous system has the potential to Applied Engineering in Agriculture, Vol. 20, No. 6, pp.
be a highly suitable platform for “real world” 845-849.
applications, but needs further development to
overcome the accuracy issues. As the capacity to Kodak, n.d., “KODAK Digital Cameras, Printers,
perform automatic registering and mosaicing of the Digital Video Cameras & more”, www.kodak.com.
acquired images filters down from conventional
aerial imagery, this low cost remote sensing system Lelong, C. C. D., Burger, P., Jubelin, G., Roux, B.,
will have great potential to be utilised in broader Labbe, S. & Baret, F. 2008, “Assessment of unmanned
agricultural applications. aerial vehicles imagery for quantitative monitoring
of wheat crop in small plots”, Sensors, Vol. 8, No. 5,
pp. 3557-3585.
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8. 146 “The use of an unmanned aerial vehicle as a remote sensing platform ...” – Jensen, Zeller & Apan
TROY JENSEN
Dr Troy Jensen is a Senior Research Fellow/Senior Lecturer with the National
Centre for Engineering in Agriculture and the Faculty Engineering and
Surveying, University of Southern Queensland (USQ), Toowoomba. He received
his PhD degree in Engineering from USQ. Applying engineering technologies
to agriculture is something that Troy has been doing since be commenced work
in 1987. Since this time, he has gained extensive applied research experience
in such diverse areas as agricultural machinery, animal and plant biosecurity,
precision agriculture, remote sensing, controlled traffic farming, native grass
seed harvesting and management, grain storage, horticultural mechanisation,
and biomass reuse. His current research area focuses on the use precision
agriculture technologies, and is working on a project funded by the Sugar
Research and Development Corporation titled “A co-ordinated approach to
Precision Agriculture RDE for the Australian Sugar Industry”.
LES ZELLER
Les Zeller is a Senior Research Engineer with the Queensland Department of
Employment, Economic Development and Innovation based in Toowoomba.
He received his Associate Diploma and Masters Degree in Engineering from
the University of Southern Queensland and his Bachelor in Applied Physics
from Central Queensland University. He has worked in agricultural research
for over 30 years in the development and application of electronic technologies
for agricultural research. A turf traction measurement device he developed has
been patented by the Queensland State Government.
ARMANDO APAN
Dr Armando A. Apan is an Associate Professor with the Australian Centre
for Sustainable Catchments and the Faculty of Engineering and Surveying,
University of Southern Queensland, Toowoomba. He received his PhD degree
in Geography from Monash University in Melbourne. His current research
area focuses on the use of remote sensing and geographic information systems
in environmental management, agriculture, forestry and ecology. He was
awarded the Queensland Spatial Excellence Award (Education and Professional
Development) in 2006 by the Spatial Sciences Institute, Australia. Currently, he
is the Associate Dean (Research) of the Faculty of Engineering and Surveying,
University of Southern Queensland.
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