Lidar technology has been used in Nepal for some infrastructure projects previously but the Survey Department of Nepal has now begun a nationwide lidar survey project. The project aims to survey the entire country over the next 7 years which will help with infrastructure development, disaster management, and understanding Nepal's hydropower potential. Lidar uses laser pulses to measure distance and when combined with GPS and image data, can create highly accurate 3D terrain models. The survey data is expected to benefit areas like infrastructure design, flood mapping, and feasibility studies.
LIDAR is an acronym for LIght Detection And Ranging. It is an optical remote sensing technology that can measure the distance to or other properties of a target by illuminating the target with light pulse to form an image.
This content presents for basic of Synthetic Aperture Radar (SAR) including its geometry, how the image is created, essential parameters, interpretation, SAR sensor specification, and advantages and disadvantages.
Basic Concepts, Explanation, and Application. Fundamental Remote Sensing; Advantage/ disadvantages, Imaging/non Imaging sensors, RAR and SAR, SAR Geometry, Resolutions in the microwave, Geometric Distortions in SAR, Polarization in SAR, Target Interaction, SAR Interferometry
Lidar is an acronym for light detection and ranging. It is an optical remote sensing technology that can measure the distance to, or other properties of a target by illuminating the target with light, often using pulses from a laser.
This document discusses remote sensing and geographical information systems in civil engineering. It covers various topics related to remote sensing sensors including optical sensors, thermal scanners, multispectral sensors, passive and active sensors, scanning and non-scanning sensors, imaging and non-imaging sensors, and the different types of resolutions including spatial, spectral, radiometric, and temporal resolution. It provides examples and illustrations of these concepts.
Light detection and ranging (LiDAR) is a remote sensing method that uses pulsed laser light to image objects and measure distances. It can be used for applications such as autonomous vehicles, forest planning and management, river surveying, and oil and gas exploration. The document discusses the history, principles, components, types, concepts and applications of LiDAR technology.
Microwave remote sensing uses both passive and active sensors operating within the wavelength range of 1mm to 1m. Passive sensors such as microwave radiometers record naturally emitted energy, while active sensors like synthetic aperture radar (SAR) generate their own electromagnetic signals. SAR is an example of side-looking radar that uses signal processing to synthesize a very long antenna and improve azimuth resolution. Radar imagery exhibits characteristics like penetration of vegetation and clouds, day/night imaging, and sensitivity to surface properties. However, it also shows distortions from terrain relief and speckle noise from signal interference.
LIDAR uses laser light to measure distance by illuminating a target and analyzing the reflected light. It can be used to generate highly accurate 3D models of terrain, infrastructure, and other physical features. LIDAR systems consist of a laser, scanner, photodetector, and navigation components. LIDAR has various applications in fields like geography, archaeology, environment, and autonomous vehicles due to its ability to rapidly capture precise spatial data regardless of lighting conditions.
LIDAR is an acronym for LIght Detection And Ranging. It is an optical remote sensing technology that can measure the distance to or other properties of a target by illuminating the target with light pulse to form an image.
This content presents for basic of Synthetic Aperture Radar (SAR) including its geometry, how the image is created, essential parameters, interpretation, SAR sensor specification, and advantages and disadvantages.
Basic Concepts, Explanation, and Application. Fundamental Remote Sensing; Advantage/ disadvantages, Imaging/non Imaging sensors, RAR and SAR, SAR Geometry, Resolutions in the microwave, Geometric Distortions in SAR, Polarization in SAR, Target Interaction, SAR Interferometry
Lidar is an acronym for light detection and ranging. It is an optical remote sensing technology that can measure the distance to, or other properties of a target by illuminating the target with light, often using pulses from a laser.
This document discusses remote sensing and geographical information systems in civil engineering. It covers various topics related to remote sensing sensors including optical sensors, thermal scanners, multispectral sensors, passive and active sensors, scanning and non-scanning sensors, imaging and non-imaging sensors, and the different types of resolutions including spatial, spectral, radiometric, and temporal resolution. It provides examples and illustrations of these concepts.
Light detection and ranging (LiDAR) is a remote sensing method that uses pulsed laser light to image objects and measure distances. It can be used for applications such as autonomous vehicles, forest planning and management, river surveying, and oil and gas exploration. The document discusses the history, principles, components, types, concepts and applications of LiDAR technology.
Microwave remote sensing uses both passive and active sensors operating within the wavelength range of 1mm to 1m. Passive sensors such as microwave radiometers record naturally emitted energy, while active sensors like synthetic aperture radar (SAR) generate their own electromagnetic signals. SAR is an example of side-looking radar that uses signal processing to synthesize a very long antenna and improve azimuth resolution. Radar imagery exhibits characteristics like penetration of vegetation and clouds, day/night imaging, and sensitivity to surface properties. However, it also shows distortions from terrain relief and speckle noise from signal interference.
LIDAR uses laser light to measure distance by illuminating a target and analyzing the reflected light. It can be used to generate highly accurate 3D models of terrain, infrastructure, and other physical features. LIDAR systems consist of a laser, scanner, photodetector, and navigation components. LIDAR has various applications in fields like geography, archaeology, environment, and autonomous vehicles due to its ability to rapidly capture precise spatial data regardless of lighting conditions.
The document discusses GPS signal structure and navigation messages. It explains that GPS signals contain ranging codes and navigation data to allow receivers to calculate travel time from satellites and satellite coordinates. The main signals, L1 and L2, are modified by coarse acquisition and precise codes. Navigation messages are transmitted at 50 Hz and contain data like GPS week numbers, date, and time to help receivers determine location. Anti-spoofing techniques generate encrypted codes to protect military receivers from interference.
The document provides an overview of remote sensing techniques used in civil engineering projects. It discusses (1) the electromagnetic spectrum used for remote sensing, including microwave and radar bands; (2) active and passive microwave sensing methods such as SAR; and (3) applications like flood mapping, soil moisture monitoring, and landslide prediction. The document is a useful primer on how remote sensing and GIS technologies can support infrastructure and environmental monitoring.
This content introduces the Global Navigation Satellite System (GNSS), its example, earth observation orbit types, coordinate systems, GNSS time system, converting height (ellipsoidal, geoid, orthometric heights) and various GNSS applications.
GPS uses trilateration to determine location based on distances to at least three satellites. Each satellite transmits its precise location and time of transmission. The GPS receiver uses the speed of light and transmission time to calculate distances, allowing it to determine its position at the intersection of distance spheres from multiple satellites. Accuracy relies on precise timekeeping of satellites and receivers.
Introduction of gps global navigation satellite systems DocumentStory
This document provides information on Global Navigation Satellite Systems (GNSS). It discusses several GNSS including GPS (USA), GLONASS (Russia), and Galileo (Europe). It provides details on GLONASS and Galileo constellations and signal structures. The benefits of multiple GNSS include improved availability, accuracy, reliability and efficiency of position determination.
LIDAR uses pulsed laser light to measure distance by illuminating targets and analyzing reflections. It can be used to create high-resolution 3D maps of physical features and is useful for applications in fields like agriculture, biology, engineering and law enforcement. LIDAR offers advantages over other mapping methods like higher accuracy, faster data collection and greater data density.
Remote sensing and GIS are useful tools for civil engineering projects. The Global Positioning System (GPS) uses 24 satellites that orbit the earth to provide location and time information to GPS receivers. It has three segments: space (satellites), control (monitoring stations), and user (receivers). GPS works by precisely measuring the time it takes signals from multiple satellites to reach a receiver, allowing the device to triangulate its position. Its applications include navigation, mapping, precision agriculture, and more. Other global satellite systems include GLONASS, Galileo, BeiDou, and future systems like Compass.
Synthetic Aperture Radar (SAR) is an active remote sensing technology used in satellites to produce high-resolution images regardless of weather or light conditions. SAR works by emitting microwave pulses and analyzing the echo returns, similar to how bats use echolocation. There are three main types of radar scattering - specular, diffuse, and double-bounce - which appear differently in SAR images and provide information about surface characteristics. Key applications of SAR include search and rescue operations, topographic mapping, and monitoring of events like oil spills.
The document provides an overview of GPS (Global Positioning System), including its history, core components, working principles, accuracy limitations, and applications. GPS is a satellite-based navigation system consisting of 3 segments - space, control, and user. It works by precisely measuring the time it takes signals from GPS satellites to reach a GPS receiver and triangulating its position based on distances to 4 or more satellites. Various methods can improve its accuracy to within a few centimeters.
This document discusses stereoscopic vision and its use in aerial photo interpretation. Stereoscopic vision involves using binocular vision to view overlapping photos from two camera positions to perceive 3D depth. Various stereoscopes can be used, like lens stereoscopes suitable for field use. Key measurements for determining object heights from stereo pairs include the average photo base length and differential parallax. Precise stereoplotters and software can digitally recreate stereo models for mapping. Orthophotos rectify photos to show objects in true planimetric positions.
This document discusses datums in geodesy. It begins by defining a datum as a reference frame for locating points on Earth's surface. It then describes the key components of a datum including the spheroid shape it defines and parameters like semi-major axis. It discusses different types of datums such as geocentric datums based on the Earth's center and local datums that are specific to a particular region. Examples of issues with local datums are also provided. The document outlines horizontal and vertical datums, common transformation methods, and applications of datums in areas like GPS and mapping.
Spheroid, datum, projection, and coordinate systems are used to locate positions on Earth. A spheroid is a mathematical model that approximates the Earth's shape as an oblate spheroid. A datum defines the reference frame for latitude and longitude coordinates and relates the spheroid to the Earth's center. Projections transform 3D spheroid coordinates onto a 2D surface like a map, introducing some distortion of shapes, areas, distances or directions. Common projections include transverse Mercator, UTM, and lambert conformal conic. Coordinate systems then allow measurement of positions on the projected 2D surface. Understanding these concepts is important for accurately locating geographic features.
Remote sensing is the process of detecting and monitoring the physical characteristics of an area by measuring its reflected and emitted radiation at a distance using aircraft or satellites. It involves the acquisition of imagery and geospatial data through the analysis of electromagnetic radiation emitted or reflected from objects such as the Earth's surface. Some key advantages of remote sensing include its ability to provide cost-effective data collection over large or inaccessible areas and to monitor changes over time. Common applications include land use mapping, agriculture, forestry, geology and natural disaster monitoring.
The GPS system uses a constellation of 31 satellites operated by the U.S. Department of Defense to provide location and timing information worldwide. Each satellite continuously transmits radio signals containing unique identifying codes, precise orbital data, and timing information. GPS receivers triangulate their position by measuring the travel time of signals from at least three satellites, determining distance through speed of light calculations. A fourth satellite measurement is needed to correct for differences between satellite and receiver clocks. The system provides navigation to both military and civilian users globally, any time, and in all weather conditions.
Global Navigation Satellite System (GNSS) allows mappers and resource managers to locate features using satellite positioning. GNSS receivers determine position by measuring distances to at least 4 satellites via signal travel time. Accuracy is typically 10-20 meters but can be improved to 1-5 meters using real-time differential corrections which account for errors. GNSS data can be incorporated into a GIS by converting point, line and polygon features collected using GNSS receivers.
The document discusses principles of radar imaging and synthetic aperture radar (SAR). SAR uses signal modulation and range-Doppler processing to achieve high-resolution radar imagery independent of distance to targets. Polarimetric SAR can characterize target scattering properties by measuring the scattering matrix. Interferometric SAR uses two antennas to measure elevation, while differential interferometry detects elevation changes over time for applications like change detection. Emerging techniques include polarimetric interferometry and using polarization signatures to estimate surface tilt and topography.
The Global Positioning System (GPS), originally Navstar GPS, is a satellite-based radionavigation system owned by the United States government and operated by the United States Space Force.
It is one of the global navigation satellite systems (GNSS) that provides geolocation and time information to a GPS receiver anywhere on or near the Earth where there is an unobstructed line of sight to four or more GPS satellites.
Obstacles such as mountains and buildings block the relatively weak GPS signals.
Digital Elevation Model (DEM) is the digital representation of the land surface elevation with respect to any reference datum. DEM is frequently used to refer to any digital representation of a topographic surface. DEM is the simplest form of digital representation of topography. GIS applications depend mainly on DEMs, today.
Remote sensing involves obtaining information about objects or areas through analysis of sensor data, without physical contact. It has two main components: an energy source that illuminates the target area, and sensors that detect and record reflected or emitted energy. There are various platforms that carry sensors, including satellites, aircraft and vehicles. Remote sensing has many applications in assessing land and water resources like irrigation management, flood mapping, drought monitoring and estimating crop yields. It allows repetitive monitoring of large areas cost-effectively.
LIDAR uses laser light to measure distance by illuminating a target and analyzing the reflected light. It can be used to generate highly accurate 3D models of terrain, infrastructure, and other physical features. LIDAR systems consist of a laser, scanner, photodetector, and navigation components. LIDAR has various applications in fields like geography, archaeology, environment, and autonomous vehicles due to its ability to rapidly capture precise spatial data regardless of lighting conditions.
The document discusses GPS signal structure and navigation messages. It explains that GPS signals contain ranging codes and navigation data to allow receivers to calculate travel time from satellites and satellite coordinates. The main signals, L1 and L2, are modified by coarse acquisition and precise codes. Navigation messages are transmitted at 50 Hz and contain data like GPS week numbers, date, and time to help receivers determine location. Anti-spoofing techniques generate encrypted codes to protect military receivers from interference.
The document provides an overview of remote sensing techniques used in civil engineering projects. It discusses (1) the electromagnetic spectrum used for remote sensing, including microwave and radar bands; (2) active and passive microwave sensing methods such as SAR; and (3) applications like flood mapping, soil moisture monitoring, and landslide prediction. The document is a useful primer on how remote sensing and GIS technologies can support infrastructure and environmental monitoring.
This content introduces the Global Navigation Satellite System (GNSS), its example, earth observation orbit types, coordinate systems, GNSS time system, converting height (ellipsoidal, geoid, orthometric heights) and various GNSS applications.
GPS uses trilateration to determine location based on distances to at least three satellites. Each satellite transmits its precise location and time of transmission. The GPS receiver uses the speed of light and transmission time to calculate distances, allowing it to determine its position at the intersection of distance spheres from multiple satellites. Accuracy relies on precise timekeeping of satellites and receivers.
Introduction of gps global navigation satellite systems DocumentStory
This document provides information on Global Navigation Satellite Systems (GNSS). It discusses several GNSS including GPS (USA), GLONASS (Russia), and Galileo (Europe). It provides details on GLONASS and Galileo constellations and signal structures. The benefits of multiple GNSS include improved availability, accuracy, reliability and efficiency of position determination.
LIDAR uses pulsed laser light to measure distance by illuminating targets and analyzing reflections. It can be used to create high-resolution 3D maps of physical features and is useful for applications in fields like agriculture, biology, engineering and law enforcement. LIDAR offers advantages over other mapping methods like higher accuracy, faster data collection and greater data density.
Remote sensing and GIS are useful tools for civil engineering projects. The Global Positioning System (GPS) uses 24 satellites that orbit the earth to provide location and time information to GPS receivers. It has three segments: space (satellites), control (monitoring stations), and user (receivers). GPS works by precisely measuring the time it takes signals from multiple satellites to reach a receiver, allowing the device to triangulate its position. Its applications include navigation, mapping, precision agriculture, and more. Other global satellite systems include GLONASS, Galileo, BeiDou, and future systems like Compass.
Synthetic Aperture Radar (SAR) is an active remote sensing technology used in satellites to produce high-resolution images regardless of weather or light conditions. SAR works by emitting microwave pulses and analyzing the echo returns, similar to how bats use echolocation. There are three main types of radar scattering - specular, diffuse, and double-bounce - which appear differently in SAR images and provide information about surface characteristics. Key applications of SAR include search and rescue operations, topographic mapping, and monitoring of events like oil spills.
The document provides an overview of GPS (Global Positioning System), including its history, core components, working principles, accuracy limitations, and applications. GPS is a satellite-based navigation system consisting of 3 segments - space, control, and user. It works by precisely measuring the time it takes signals from GPS satellites to reach a GPS receiver and triangulating its position based on distances to 4 or more satellites. Various methods can improve its accuracy to within a few centimeters.
This document discusses stereoscopic vision and its use in aerial photo interpretation. Stereoscopic vision involves using binocular vision to view overlapping photos from two camera positions to perceive 3D depth. Various stereoscopes can be used, like lens stereoscopes suitable for field use. Key measurements for determining object heights from stereo pairs include the average photo base length and differential parallax. Precise stereoplotters and software can digitally recreate stereo models for mapping. Orthophotos rectify photos to show objects in true planimetric positions.
This document discusses datums in geodesy. It begins by defining a datum as a reference frame for locating points on Earth's surface. It then describes the key components of a datum including the spheroid shape it defines and parameters like semi-major axis. It discusses different types of datums such as geocentric datums based on the Earth's center and local datums that are specific to a particular region. Examples of issues with local datums are also provided. The document outlines horizontal and vertical datums, common transformation methods, and applications of datums in areas like GPS and mapping.
Spheroid, datum, projection, and coordinate systems are used to locate positions on Earth. A spheroid is a mathematical model that approximates the Earth's shape as an oblate spheroid. A datum defines the reference frame for latitude and longitude coordinates and relates the spheroid to the Earth's center. Projections transform 3D spheroid coordinates onto a 2D surface like a map, introducing some distortion of shapes, areas, distances or directions. Common projections include transverse Mercator, UTM, and lambert conformal conic. Coordinate systems then allow measurement of positions on the projected 2D surface. Understanding these concepts is important for accurately locating geographic features.
Remote sensing is the process of detecting and monitoring the physical characteristics of an area by measuring its reflected and emitted radiation at a distance using aircraft or satellites. It involves the acquisition of imagery and geospatial data through the analysis of electromagnetic radiation emitted or reflected from objects such as the Earth's surface. Some key advantages of remote sensing include its ability to provide cost-effective data collection over large or inaccessible areas and to monitor changes over time. Common applications include land use mapping, agriculture, forestry, geology and natural disaster monitoring.
The GPS system uses a constellation of 31 satellites operated by the U.S. Department of Defense to provide location and timing information worldwide. Each satellite continuously transmits radio signals containing unique identifying codes, precise orbital data, and timing information. GPS receivers triangulate their position by measuring the travel time of signals from at least three satellites, determining distance through speed of light calculations. A fourth satellite measurement is needed to correct for differences between satellite and receiver clocks. The system provides navigation to both military and civilian users globally, any time, and in all weather conditions.
Global Navigation Satellite System (GNSS) allows mappers and resource managers to locate features using satellite positioning. GNSS receivers determine position by measuring distances to at least 4 satellites via signal travel time. Accuracy is typically 10-20 meters but can be improved to 1-5 meters using real-time differential corrections which account for errors. GNSS data can be incorporated into a GIS by converting point, line and polygon features collected using GNSS receivers.
The document discusses principles of radar imaging and synthetic aperture radar (SAR). SAR uses signal modulation and range-Doppler processing to achieve high-resolution radar imagery independent of distance to targets. Polarimetric SAR can characterize target scattering properties by measuring the scattering matrix. Interferometric SAR uses two antennas to measure elevation, while differential interferometry detects elevation changes over time for applications like change detection. Emerging techniques include polarimetric interferometry and using polarization signatures to estimate surface tilt and topography.
The Global Positioning System (GPS), originally Navstar GPS, is a satellite-based radionavigation system owned by the United States government and operated by the United States Space Force.
It is one of the global navigation satellite systems (GNSS) that provides geolocation and time information to a GPS receiver anywhere on or near the Earth where there is an unobstructed line of sight to four or more GPS satellites.
Obstacles such as mountains and buildings block the relatively weak GPS signals.
Digital Elevation Model (DEM) is the digital representation of the land surface elevation with respect to any reference datum. DEM is frequently used to refer to any digital representation of a topographic surface. DEM is the simplest form of digital representation of topography. GIS applications depend mainly on DEMs, today.
Remote sensing involves obtaining information about objects or areas through analysis of sensor data, without physical contact. It has two main components: an energy source that illuminates the target area, and sensors that detect and record reflected or emitted energy. There are various platforms that carry sensors, including satellites, aircraft and vehicles. Remote sensing has many applications in assessing land and water resources like irrigation management, flood mapping, drought monitoring and estimating crop yields. It allows repetitive monitoring of large areas cost-effectively.
LIDAR uses laser light to measure distance by illuminating a target and analyzing the reflected light. It can be used to generate highly accurate 3D models of terrain, infrastructure, and other physical features. LIDAR systems consist of a laser, scanner, photodetector, and navigation components. LIDAR has various applications in fields like geography, archaeology, environment, and autonomous vehicles due to its ability to rapidly capture precise spatial data regardless of lighting conditions.
LIDAR is a remote sensing method that uses light in the form of a pulsed laser to measure ranges (variable distances) to the Earth. It can be used to generate precise, three-dimensional information about the structure of objects and terrain. LIDAR involves the measurement of distance to a target by illuminating that target with laser light and measuring the reflected pulses with a sensor. Differences in laser return times and wavelengths can then be used to make digital 3D representations of the target. LIDAR originated in the 1960s and has various applications including terrain mapping, atmospheric studies, robotics, autonomous vehicles, archaeology, geology and forestry.
Rahul Bhagore presented on LIDAR (Light Detection and Ranging) technology. LIDAR uses laser pulses to measure distance by illuminating a target and analyzing the reflected light. It has applications in fields like agriculture, conservation, and law enforcement. LIDAR systems can be airborne, terrestrial, mobile, or static. Key components include lasers, scanners, detectors, and navigation systems. LIDAR provides highly accurate 3D data at large scales and through foliage, with advantages over other remote sensing methods.
Airborne Laser Scanning Remote Sensing with LiDAR.pptssuser6358fd
1. Airborne laser scanning (ALS), also known as LiDAR, is an active remote sensing technology that uses laser light to measure distances.
2. There are two main types of ALS systems - waveform systems that record the full energy pulse and discrete-return systems that sample returns if the laser reflection exceeds an energy threshold.
3. ALS has various applications including generating high-resolution digital elevation models, mapping forest structure, and measuring changes in terrain and vegetation over time.
Watershed delineation and LULC mappingKapil Thakur
Watershed Delineation - a watershed as an enormous bowl. As water falls onto the bowl’s rim, it either flows down the inside of the bowl or down the outside of the bowl. The rim of the bowl or the watershed boundary is sometimes referred to as the ridgeline or watershed divide. This ridge line separates one watershed from
another.
Topographic maps created by the United States Geological Survey can help you to determine a watershed’s boundaries.
Land use and land cover map (LULC Mapping) -
Land cover indicates the physical land type such as forest or open water whereas land use documents how people are using the land. … Land cover maps provide information to help managers best understand the current landscape. To see change over time, land cover maps for several different years are needed.
Remote sensing and GIS techniques can contribute significantly to groundwater modeling efforts. Remote sensing provides spatial data on land cover, vegetation, rainfall, and terrain that are important model inputs. GIS allows integration of diverse data layers, conceptualization of recharge/discharge areas, and output visualization. However, remote sensing has limitations, such as an inability to directly measure groundwater levels or recharge. Overall, combining remote sensing, GIS, and field data can improve conceptual models and produce more accurate modeling results for groundwater management.
LiDAR uses laser light to rapidly create high-resolution 3D models of objects and terrain. It has largely replaced photogrammetry for topographic mapping due to its ability to collect data day or night and its direct measurement of ground surfaces. While public LiDAR datasets are useful for planning, private firms can benefit more from terrestrial and aerial LiDAR for detailed civil engineering and surveying projects. LiDAR allows rapid mapping of complex sites and piping networks to support master planning, grading, utilities, and other design work.
LIDAR uses laser light to measure distances and create 3D representations of environments. It works by emitting laser pulses and measuring their reflection off objects. There are several types including ground-based, airborne, and spaceborne LIDAR. It has many applications such as mapping terrain, monitoring infrastructure, surveying rivers, autonomous vehicles, and more. LIDAR provides highly accurate 3D data that is useful for various industries like agriculture, geology, archaeology, and more.
Differentiation between primary and secondary LIDAR system of Remote SensingNzar Braim
In this report I will explain the importance of remote sensing in general and explaining
one of the most important system or application which is LIDAR (light detection and
ranging) and I will explain all its types and uses and applications and the components
and advantage of this system and how it works then I will mention the imaging system
with explaining the primary and secondary return imaging in LiDAR
LiDAR and its application in civil engineeringchippi babu
The document discusses the use of LIDAR (Light Detection and Ranging) technology in civil engineering applications. It describes LIDAR's components, principles of operation, and its advantages over other remote sensing methods. Key applications mentioned include topographic and hydrographic surveying to generate digital terrain models, bridge clearance measurement, and sewer inspection. The document concludes that LIDAR offers highly accurate data collection with minimal human involvement.
Remote sensing is the process of detecting and monitoring the physical characteristics of an area by measuring its reflected and emitted radiation at a distance (typically from satellite or aircraft).
Special cameras collect remotely sensed images, which help researchers "sense" things about the Earth.
This document provides an overview of geographical information systems (GIS) and remote sensing. It defines GIS and explains its key components, principles, functions, data types, advantages and disadvantages. It also defines remote sensing, describes its principles and stages, and outlines its applications in geology, natural resource management, national security and more. The advantages of remote sensing include large area coverage and permanent data records, while disadvantages include high costs and need for specialized training.
This document discusses the application of radar remote sensing in flood management. It begins with introductions to radar remote sensing and flood management. Radar can be used for near real-time flood monitoring, assessing the nature of floods, and mapping of flood prone areas. Both ground-based and satellite radar data can be integrated. Digital elevation models generated from radar and other data sources are useful for flood management tasks like delineating watersheds and drainage networks. The document provides examples of how synthetic aperture radar images can be used to map flood extent, even in areas obscured by vegetation.
LiDAR is an optical remote sensing technology that uses laser light to densely sample the surface of the Earth. It can collect data quickly and accurately to generate precise, 3D information about physical features and terrain. LiDAR systems determine the distance between an object and the sensor by measuring the time delay between transmission and detection of a laser pulse. Key components include a laser, receiver, timing electronics, and computer. Applications of LiDAR include generating high-resolution maps, modeling pollution distribution, monitoring agriculture and forestry, and facilitating autonomous vehicles.
A tunnel is an underground passageway enclosed except for openings at each end. Tunnels can be built for roads, railways, canals, or utilities. They allow obstacles like mountains to be bypassed without surface disruption. Geological challenges in tunneling include directing excavation relative to geological structures like folds, faults, and joints. Excavating through tight folds or fault zones risks rock falls and groundwater inflows. Assessments of route, design, costs, stability, and environmental factors are required before tunneling.
Laser ScanningLaser scanning is an emerging data acquisition techn.pdfanjaniar7gallery
Laser Scanning
Laser scanning is an emerging data acquisition technology that has remarkably broadened its
application field and has been a serious competitor to other surveying techniques. Due to rapid
technological development, the increased accuracy of global positioning systems and improving
demands to even more accurate digital surface models, airborne laser scanning showed
significant development in the 1990s.
Somewhat later terrestrial laser scanning became a reasonable alternative method in many kinds
of applications that previously by ground based surveying or close-range photogrammetry.
1 Airborne laser scanning
Airborne laser scanning is an active remote sensing technology that is able to rapidly collect data
from huge areas. The resulted dataset can be the base of digital surface and elevation models.
Airborne laser scanning is often coupled with airborne imagery, therefore the point clouds and
images can be fused resulting enhanced quality 3D product.
The basic principle is as follows: the sensor emits a laser pulse through the terrain in a
predefined direction and receives the reflected laser beam. Knowing the speed of light, the
distance of the object can be calculated, see Figure 1.
Figure 1.: Time of flight laser range measurement [2]
Airborne LiDAR systems are composed by the following subsystems:
The components are shown in Figure 2
Figure 2.: Principle of airborne LiDAR [2]
2. Sensors, equipment
Sensors can be distinguished based on the scanning method, i.e. how the laser beam is directed
through the surface. The four most widely used sensor types are shown in Figure 4.2.3.
Figure .3: Scanning mechanisms [1]
As it is clearly seen in Figure 3, different kinds of mechanisms are applied by the different types
of sensors; each has its advantages and shortcomings, e.g. number of moving parts, type of
rotation etc. that lead to different kinds of error sources.
The capabilities (repetition rate, scan frequency, scan angle, point density) of the above scanners
are very similar; the main difference lies in the scanning pattern, as seen in Figure 4. The most
widely used oscillating mirror scanners produce the zigzag pattern. Spacing along the line
depends on the pulse rate and scanning frequency, while spacing along the flight direction
depends on the flying speed. To avoid too wide spacing of points along flight direction, LiDAR
flights are usually slower (e.g. at 60-80 m/sec) compared to that of photogrammetric flights
(even 120-160 m/sec). Careful planning of the measurement results in rather homogenous
density, however, due to technical and microelectronic reasons (regarding the operating
mechanism of the mirror, especially in case of oscillating mirrors), higher point density can be
observed at the edges of the scan swath. Previously, critics were addressed to the fixed optic
scanners, i.e. the parallel scan lines along the flight direction can miss sizeable objects, but
vendors successfully responded and modified the mechanis.
This document summarizes Brian McLaughlin's final project comparing LiDAR and field survey data. The project tests the accuracy of airborne LiDAR data in a heavily wooded area of Dallas against survey-grade GPS data. Overall, the LiDAR data was found to be within acceptable tolerances for elevation. While not as accurate as total station or GPS, LiDAR can supplement field survey techniques and reduce costs, especially with the rise of UAV-based LiDAR sensors. The literature review found most applications are for terrestrial LiDAR, but airborne uses like airport mapping produce sub-5cm horizontal and vertical accuracy. Advances in sensor technology allow denser point clouds from higher altitudes.
This document discusses several applications of satellite remote sensing including urban planning, land use/land cover mapping, hydrological applications like flood mapping and watershed modeling, and infrastructure development monitoring. Some key benefits highlighted are the ability to gather spatial data over large inaccessible areas, to rapidly update information, and to support planning and management through spatial analysis. Limitations discussed include limited resolution restricting detection of small linear features, difficulties interpreting areas with clouds or shadows, and issues with vegetation type or growth stage affecting spectral reflectance.
Advanced control scheme of doubly fed induction generator for wind turbine us...IJECEIAES
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECTjpsjournal1
The rivalry between prominent international actors for dominance over Central Asia's hydrocarbon
reserves and the ancient silk trade route, along with China's diplomatic endeavours in the area, has been
referred to as the "New Great Game." This research centres on the power struggle, considering
geopolitical, geostrategic, and geoeconomic variables. Topics including trade, political hegemony, oil
politics, and conventional and nontraditional security are all explored and explained by the researcher.
Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role
in Central Asia. This study adheres to the empirical epistemological method and has taken care of
objectivity. This study analyze primary and secondary research documents critically to elaborate role of
china’s geo economic outreach in central Asian countries and its future prospect. China is thriving in trade,
pipeline politics, and winning states, according to this study, thanks to important instruments like the
Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
China is seeing significant success in commerce, pipeline politics, and gaining influence on other
governments. This success may be attributed to the effective utilisation of key tools such as the Shanghai
Cooperation Organisation and the Belt and Road Economic Initiative.
Comparative analysis between traditional aquaponics and reconstructed aquapon...bijceesjournal
The aquaponic system of planting is a method that does not require soil usage. It is a method that only needs water, fish, lava rocks (a substitute for soil), and plants. Aquaponic systems are sustainable and environmentally friendly. Its use not only helps to plant in small spaces but also helps reduce artificial chemical use and minimizes excess water use, as aquaponics consumes 90% less water than soil-based gardening. The study applied a descriptive and experimental design to assess and compare conventional and reconstructed aquaponic methods for reproducing tomatoes. The researchers created an observation checklist to determine the significant factors of the study. The study aims to determine the significant difference between traditional aquaponics and reconstructed aquaponics systems propagating tomatoes in terms of height, weight, girth, and number of fruits. The reconstructed aquaponics system’s higher growth yield results in a much more nourished crop than the traditional aquaponics system. It is superior in its number of fruits, height, weight, and girth measurement. Moreover, the reconstructed aquaponics system is proven to eliminate all the hindrances present in the traditional aquaponics system, which are overcrowding of fish, algae growth, pest problems, contaminated water, and dead fish.
Harnessing WebAssembly for Real-time Stateless Streaming PipelinesChristina Lin
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
LLM Fine Tuning with QLoRA Cassandra Lunch 4, presented by Anant
Lidar and radar.pptx
1. History of Lidar in Nepal
• Before also, surveying using lidar technology was done but in
some specific areas and purposes. Manakamana cable car,
Bheri Babai diversion, Budhigandaki hydropower,etc are the
projects where Lidar was used.
• In Gandaki river, lidar was also used .
2. • Survey department of Nepal have begin to surveying the Nepal’s physical structure
using LiDAR technology. The survey department have called this as dream project
which will make revolution in infrastructure development, terrain mapping and many
more
• The survey department expect to complete the whole Nepal survey in the next 7
years. Departments expects high and even this surveying will help to know the
feasibility of 83,000 MW of electricity.
• With surveying, the aircraft will also capture the high resolution image of the
mapping area at a time. So the geography digitization using lidar technology will
help for easier survey.
3. • The data extracted by this mapping will be used extensively in infrastructure
designing like road, hydro-power, canal,etc.
• Even, for surveying there wouldn’t need to visit the site.
• Using this surveyed data will help to create feasibility and surveying report.
• This will save a lot of money and time.
4. What is LiDAR ?
• Light Detection And Ranging
• Active Sensing System which uses its own energy source, not reflected natural or
naturally emitted radiation
• Uses light in the form of a pulsed laser to measure ranges (variable distances) to the
Earth. These light pulses combined with other data recorded by the airborne system
generates precise, three-dimensional information about the shape of the Earth and its
surface characteristics.
• A lidar instrument principally consists of a laser, a scanner, and a specialized
GPS receiver.
• Ranging of the reflecting object based on time difference between emission and
reflection. (Multiple Returns per pulse of light)
• Direct acquisition of terrain information
• Highly accurate topographic data
• Can provide information of inaccessible as well as larger areas.
• The wavelength used is 1040 to 1060 nm.(of laser)
5. LiDAR
All reflections of emitted energy are returned, generating a point
cloud of the data
The point cloud contains data points for scan hits at multiple heights
on objects, as well as some noise due to atmospheric conditions.
These hits are referred to as returns and are referenced in ascending
order from highest elevation to lowest elevation for a set of returns
Top of a building or tree is the 1st return
Canopy of a tree or side of a building is 2nd or 3rd return, and so on as the
returned hits descend in elevation
5
6.
7.
8. LiDAR Data
All returns
1st return
2nd return
3rd return
4th return
8/23/2022 8
Image from Lidar Technology Overview, presentation by USGS, June 2007
9. Working Principle
• The position of the aircraft is
known (from DGPS and IMU-
Inertial Measurement Unit).
• Measures distance to surfaces by
timing the outgoing laser pulse and
the corresponding return (s).
Distance = time*(speed of light)/2
• By keeping track of the angle at
which the laser was fired: X, Y, Z
position of each “return” can be
calculated
• Requires extremely accurate timing
and a very fast computer.
10.
11. LiDAR Types
There are two basic types of lidar:
Airborne and Terrestrial
Airborne lidar sensors
1. Topographic:Topographic Lidar uses an infrared wavelength of
1,064nm.
11
14. How is lidar data collected?
• When an airborne laser is pointed at a targeted area on the
ground, the beam of light is reflected by the surface it
encounters. A sensor records this reflected light to measure a
range. When laser ranges are combined with position and
orientation data generated from integrated GPS and Inertial
measurement Systems, scan angles, and calibration data, the
result is a dense, detail-rich group of elevation points, called a
"point cloud."
• Each point in the point cloud has three-dimensional spatial
coordinates (latitude, longitude, and height) that correspond
to a particular point on the Earth's surface from which a laser
pulse was reflected. The point clouds are used to generate
other geospatial products, such as digital elevation models,
canopy models, building models, and contours.
15. Accuracy
• GPS accuracy 2-5 cm
• INS accuracy for pitch/roll is < 0.005
• Final vertical and horizontal accuracies : order of 5 to 15 cm and 15-
50 cm at one sigma
16. LiDAR Data
LiDAR’s Limitations
Grade breaks – collection pattern is “random” and not based on changes in grade
as a field survey
Critical elevations – may not detect control elevations such as building floor
elevations, edges of concrete, property boundaries or culvert inlet/outlet
elevations (requires local benchmarking at site and adjustment of data to
benchmark)
Vegetation – May affect readings, dependent on quality of the data, density of
vegetation. Tillage(खेनेको खेत) may affect surface smoothness (can affect slope
calculations)
Water – LiDAR can penetrate water, but type of laser and water turbidity can
affect this. Standing water can invalidate a local elevation estimate from LiDAR.
If you believe a data result is due to influence of water, don’t use it for an
elevation
16
17.
18.
19.
20. Application
• Digital Elevation Model
• 3D City Modeling
• Forest Inventory Survey/Biomass Estimation
• Hydrology
• Environmental Monitoring
20
21. Expectation from Lidar project of Nepal:
• Updating of Existing Topographic Map Data: For the Terai Region, a 1: 25,000 topographic map is
expected to be updated in parallel with the 1: 5,000 topographic map creation. Also, in addition
to the modifications accompanying development, etc., floods, landslides, and other changes also
involve terrain changes, so continuous updating of topographic map data is required. Since the
photogrammetry technology using drones is acquired in the Project, it is expected that existing
topographic map data can be updated not only in the Terai Region but also throughout the
country.
• Improved Disaster Awareness of Relevant Organization and People: A seminar for approx. 60 staff
members of potential user organizations shall be held and the teaching materials and pamphlets
of the seminar shall be prepared in the “Soft Component” of the Project. Through these, public
relations education activities are expected to spread from the Survey Department to the relevant
ministries and agencies, local governments, and even the residents, thereby raising awareness of
disaster prevention.
• Improvement the Accuracy of Identification of Expected Flood Area: By using a detailed DEM,
inundation simulation and calculation of area to inundate and inundation depth are possible,
consequently, reflecting this, it is expected that the accuracy of hazard maps will be improved and
appropriate evacuation plans will be formulated.
22. • Flood control candidate sites such as embankment strengthening points
and flood control reservoirs can be narrowed down. It is expected to be
used for disaster prevention measures, such as identification of danger of
breach of levees, prioritization of countermeasure work, selection of
candidate sites such as flood control reservoirs, etc. based on flow
simulations during river flooding and detailed v topography such as levees.
• Use in Plans for Infrastructure Development (roads, railways, irrigation
canals, etc.) The detailed topographic data and orthophotos to be created
in the Project and the 1/5,000 topographic map data to be created
consequently from them are essential for the preparation and
implementation of infrastructure development plans and the provision of
such data is expected to facilitate the infrastructure development in the
Terai Region.
23. • 3 Types of information can be obtained about target from LIDAR:
• Range: Topographic Lidar, or Laser Altimetry
• Chemical properties of target: Differential Absorption Lidar
• Velocity of target :Doppler Lidar
24. Forest Planning and Management: LIDAR is widely used in the forest industry to plan
and mange. It is used to measure vertical structure of forest canopy and also used to
measure and understand canopy bulk density and canopy base height
Forest Fire Management: LIDAR image helps to monitor the possible fire area which is
called fuel mapping (fire behavior model)
Environmental Assessment: Micro topography data generated form the LIDAR data is
used in the environment assessment. Environment assessment is done to protect the
plants and environment. Remote sensing and surface information (LIDAR) is used to find
the area that is affected by the human activities.
Flood monitoring: LIDAR provides very accurate information. River is very sensitive and
sensitive and few meter of change in information can bring disastrous or loss of
properties. So LIDAR is used to create high resolution and accurate surface model of the
river. These extracted LIDAR information can be used for the 3D simulation for better
planning of the structures or buildings on the river bank.
Application
25. Oil and Gas Exploration: As LIDAR wavelength are shorter, it can be used to detect molecules
content in the atmosphere that has same or bigger wavelength. There is the new technology called
DIAL (Differential Absorption LIDAR) which is used to trace amount of gases above the
hydrocarbon region. This tracking helps to find the Oil and Gas deposits.
Archeology: LIDAR has played important part for the archeologist to understand the surface. As
LIDAR can detect micro topography that is hidden by vegetation which helps archeologist to
understand the surface. DEM created from LIDAR is feed into GIS system and it is combined with
other layer for analysis and interpretation.
Glacier Volume Changes: : LIDAR is used to calculate the glacier change over the period. LIDAR
image are taken in time series to see the change happening. For instance LIDAR image taken at these
time interval are used to estimate the level,area and volume using HECRAS ,GIS.
26.
27. DEM
• DEM is a popular acronym
• Unless specifically referenced as a Digital Surface Model (DSM), the
generic DEM normally implies x/y coordinates and z-values
(elevations) of the bare-earth terrain, void of vegetation and
manmade features.
• According to USGS: DEM is the digital cartographic representation of
the elevation of the land at regularly spaced intervals in x and y
directions, using z-values referenced to a common vertical datum.
27
29. DTM
• Digital Terrain Models (DTMs) are similar to DEMs in representing the
bare-earth terrain surface but DTM may also incorporate the
elevation of significant topographic features on the land and mass
points and breaklines that are irregularly spaced to better
characterize the true shape of the terrain itself.
29
30. DSM
• Digital Surface Models (DSMs) are similar to DEMs or DTMs except
that they depict the elevations of the top surfaces of buildings, trees,
towers, and other features elevated above the bare earth.
• DSMs are especially relevant for telecommunications management,
air safety, forest management, and 3-D modeling and simulations.
• The elevation differences between the DSM and DTM are commonly
used to evaluate the height of vegetation.
30
31. LIDAR RADAR
LiDAR stands for Light Detection And Ranging
RADAR stands for RAdio Detection And
Ranging
Short wavelength of light(512nm to 1024nm)
is used.
Long-wavelength microwaves (1mm – 100
cm) is used.
Measures precise distance measurements Measures estimated distance measurements
Used in obtaining 3D images with high
resolution Cannot detect smaller objects.
Down looking sensor Side looking sensor
Limited to clear atmospheric conditions,
daytime or nightime coverage
Can operate in presence of clouds daytime or
nighttime weather
31
32. •Active RS: Introduction and types
RADAR: Introduction and
Application
LiDAR: Introduction and
Application
33. • Remote sensing:
Science and art of acquiring information about earth’s surface without
actually being in contact with it.
Types of remote sensing :
-Passive
-Active .
34. • Active Remote Sensing:
Active Remote Sensing is a type of remote sensing that makes use of
sensors able to direct energy in the form of electromagnetic spectrum.i.e
active sensors.
Active sensors provide their own source of illumination which emits
radiations that are directed towards the target body that is to be
investigated.
Active Remote sensors emit energy in order to scan the objects and
areas and they then detect and measure the radiations that are reflected
or are backscattered from the target body.
The sensors transmit short pulses of the electromagnetic energy in the
direction of the target and they record the origin and strength of the
reflected rays received from the object within the system's field of view
35. Types of active remote sensing:
• Active Optical Remote Sensing
• Active Microwave Remote Sensing
36. Active Optical Remote Sensing
.
Active optical remote sensing involves using a laser beam upon a remote target to illuminate it, analyzing the
reflected or backscattered radiation in order to acquire certain properties about the target
. The velocity, location, temperature and material composition of a distant target can be determined using this
method. Example:
LIDAR( Light Detection and Ranging)
37. Active Microwave Remote Sensing
Active microwave remote sensing uses sensors that operate in the microwave region of the
electromagnetic spectrum. Example: RADAR (Radio detection and ranging)
-The sensor transmits a microwave (radio) signal upon a specified
target.
-The reflected or backscattered radiation from the target is then
detected by the active sensors which measure the round trip time delay
to targets allowing the system to calculate the distance of the target from
the sensors.
39. Regions: Optical & Microwaves
Bikash Kumar Karna, Director
Band Designations
(common wavelengths Wavelength () Frequency ()
shown in parentheses) in cm in GHz
____________________________________________
Ka (0.86 cm) 0.75 - 1.18 40.0 to 26.5
K 1.18 - 1.67 26.5 to 18.0
Ku 1.67 - 2.4 18.0 to 12.5
X (3.0 and 3.2 cm) 2.4 - 3.8 12.5 - 8.0
C (7.5, 6.0, 5.6 cm) 3.8 - 7.5 8.0 - 4.0
S (8.0, 9.6, 12.6 cm) 7.5 - 15.0 4.0 - 2.0
L (23.5, 24.0, 25.0 cm) 15.0 - 30.0 2.0 - 1.0
P (68.0 cm) 30.0 - 100 1.0 - 0.3
Visible 0.4 – 0. 7 m
Near Infrared (NIR) 0.7 – 1.5
m
Short Wave Infrared (SWIR) 1.5 – 3 m
Mid Wave Infrared (MWIR) 3-8
m
Long Wave Infrared (LWIR)
(Thermal Infrared (TIR) 8-15
m
Far Infrared (FIR) Beyond 15 m
40. RADAR: Introduction and Application
• RADAR is an acronym for RAdio Detection And Ranging, which
essentially characterizes the function and operation of a radar sensor.
• The sensor transmits a microwave signal towards the target and detects
the backscattered portion of the signal.
• Long-wavelength microwaves (1 mm– 100 cm).
• Use micro waves to detect the presence of objects and to determine
their distance/angular position.
41. • It is basically an electromagnetic system used to detect the
location and distance of an object from the point where it
(RADAR) is placed.
• It works by radiating energy into space and monitoring the echo
or reflected signal from the objects. It operates in the microwave
range.
42. Types of radar :
• Nonimaging radar :Traffic police use handheld Doppler radar
system determine the speed by measuring frequency shift
between transmitted and return microwave signal .
• Imaging radar: Usually high spatial resolution, consists of a
transmitter, a receiver, one or more antennas. For example SAR
43. Radar Components
• It consists of
• a transmitter,
• a receiver,
• an antenna,
• and an electronics system to process and record the data.
44. Radar Basics
Radar provides its own controllable energy source
The transmitter generates successive pulses of
microwave (A).
illuminates the surface obliquely at a right angle to
the motion of the platform(B).
The antenna receives a portion of the transmitted
energy reflected (or backscattered). (C).
By measuring time delay distance from the radar
and thus their location can be determined.
Typical imaging RADAR may give about 1500
high-power pulses per second