Capstone project for the Unmanned Aircraft Systems major at Embry-Riddle. Overviews the two surveying projects for the Bagdad Mining Company and Nexus SouthWest.
This document contains the resume of Dr. A. Vivekananth, who has 10 years of experience in groundwater, remote sensing, and GIS projects. He currently works as a project manager at Geofiny Technologies, where he oversees multiple projects simultaneously, coordinates project teams, and ensures projects are completed on schedule. His experience includes projects related to water resource management, geological and land use mapping using remote sensing, cadastral mapping, and lidar data processing. He has a PhD in groundwater assessment and postgraduate diplomas in GIS management.
The document provides a report on a helicopter-borne ZTEM and aeromagnetic geophysical survey conducted over the Serpent River - Pecors Ni-Cu Project near Elliot Lake, Ontario, Canada in May-June 2018. The survey acquired 295 line-km of data using a ZTEM system to measure electromagnetic fields and a caesium magnetometer. Preliminary and final data processing was performed, and maps and digital data were delivered including total magnetic intensity, elevation, EM phase rotated grids, and inline and crossline EM profiles.
This document discusses the advantages of using Global Navigation Satellite Systems (GNSS) like GPS for monitoring construction projects. It outlines 9 key factors project managers should consider when implementing GNSS-based monitoring solutions, including accuracy variations due to ionospheric effects, number of visible satellites, geometric dilution of precision, and use of augmentation systems. Proper understanding of these factors is important for effective project management using GNSS technologies.
This document discusses a study on assessing the quality of geospatial data obtained from unmanned aerial vehicles (UAVs). The study aimed to generate accurate 3D geospatial data from UAV images of a 5.26 km2 area near Banaras Hindu University in India. Two software programs, ArcGIS Pro and Pix4Dmapper, were used to process over 135 images taken with a DJI Mavic Pro drone. The positional and vertical accuracies of the UAV data were determined by calculating the root mean square error of checkpoint locations. The analysis found horizontal and vertical errors within an acceptable range, demonstrating that low-cost UAVs can be used to obtain accurate 3D spatial data for large-scale mapping
Unmanned Aircraft System (UAS) 3D Product Comparisons to Airborne LiDARMerrick & Company
Technical comparison of 3D UAS imaging products to airborne LiDAR data products. Presented by Matt Bethel, Director of Technology for Geospatial Solutions at Merrick & Company (www.merrick.com) on February 18, 2014 in Denver, Colorado. International LiDAR Mapping Forum (ILMF) - http://www.lidarmap.org/international
Zivaro Geospatial Services - UAS Data ProcessingGregPeters46
Automate UAS data processing and fleet management for better operational efficiency
Organizations in many critical infrastructure industries of all sizes face the common problem of managing large amounts of aerial imagery collected from remote locations. There is a need to have all UAS data delivered to a standard data warehouse for ease of ingestion, archiving, and collaboration. The demand for these data management solutions is exploding with many utilities, oil and gas, land management, telecom (5G transformation) and civil engineering companies creating more and more imagery and other 3d and 4d data for analysis and decision support.
The Department of Interior has recognized this need early on and has focused resources and energy on creating the solution that will not only handle a single set of use cases , but scale along with the explosion in these types of data. The Department of Interior has funded an open source UAS-DM application is designed to centrally manage UAS imagery, facilitate uploads to the cloud in low internet conditions, and automate imaging processing workflows, such as orthorectification. To make this technology available to the public as a common good and to help foster a collaborative community that can make UAV operations seamless .
This platform as a service is extremely useful for all enterprises that are in need of capturing , managing and using drone imagery, lidar, ground points etc…to help manage their assets and create better decision making for field workers and managers along with executives.
We will demonstrate the UAS-DM application, outline the feature roadmap, and
show its extensible framework for building collaborative workflows around image collection,
processing, sharing, and metadata capture, to enable location intelligence.
Critical Infrastructure Monitoring Using UAV Imageryaditess
The use of two rapidly evolving approaches, the Unmanned Aerial Vehicles (UAVs) and Dense Image Matching (DIM) techniques is an attractive solution to extract high quality photogrammetric products like 3D point clouds and orthoimages.
The 2016 Remote Sensing Field camp will take the form of two projects.
A low tech, low cost aerial photography project using visible spectrum UAV/Ultralight Aircraft mounted cameras as the sensor to demonstrate that relatively low tech, low cost solutions can achieve surprisingly good results when compared to more commercial systems.
A more high tech, high cost terrestrial LiDAR collect of a building or structure of historical or architectural significance.
The scope of a project will influence all other aspects of the project, including its cost, timing, quality and risk.
This document contains the resume of Dr. A. Vivekananth, who has 10 years of experience in groundwater, remote sensing, and GIS projects. He currently works as a project manager at Geofiny Technologies, where he oversees multiple projects simultaneously, coordinates project teams, and ensures projects are completed on schedule. His experience includes projects related to water resource management, geological and land use mapping using remote sensing, cadastral mapping, and lidar data processing. He has a PhD in groundwater assessment and postgraduate diplomas in GIS management.
The document provides a report on a helicopter-borne ZTEM and aeromagnetic geophysical survey conducted over the Serpent River - Pecors Ni-Cu Project near Elliot Lake, Ontario, Canada in May-June 2018. The survey acquired 295 line-km of data using a ZTEM system to measure electromagnetic fields and a caesium magnetometer. Preliminary and final data processing was performed, and maps and digital data were delivered including total magnetic intensity, elevation, EM phase rotated grids, and inline and crossline EM profiles.
This document discusses the advantages of using Global Navigation Satellite Systems (GNSS) like GPS for monitoring construction projects. It outlines 9 key factors project managers should consider when implementing GNSS-based monitoring solutions, including accuracy variations due to ionospheric effects, number of visible satellites, geometric dilution of precision, and use of augmentation systems. Proper understanding of these factors is important for effective project management using GNSS technologies.
This document discusses a study on assessing the quality of geospatial data obtained from unmanned aerial vehicles (UAVs). The study aimed to generate accurate 3D geospatial data from UAV images of a 5.26 km2 area near Banaras Hindu University in India. Two software programs, ArcGIS Pro and Pix4Dmapper, were used to process over 135 images taken with a DJI Mavic Pro drone. The positional and vertical accuracies of the UAV data were determined by calculating the root mean square error of checkpoint locations. The analysis found horizontal and vertical errors within an acceptable range, demonstrating that low-cost UAVs can be used to obtain accurate 3D spatial data for large-scale mapping
Unmanned Aircraft System (UAS) 3D Product Comparisons to Airborne LiDARMerrick & Company
Technical comparison of 3D UAS imaging products to airborne LiDAR data products. Presented by Matt Bethel, Director of Technology for Geospatial Solutions at Merrick & Company (www.merrick.com) on February 18, 2014 in Denver, Colorado. International LiDAR Mapping Forum (ILMF) - http://www.lidarmap.org/international
Zivaro Geospatial Services - UAS Data ProcessingGregPeters46
Automate UAS data processing and fleet management for better operational efficiency
Organizations in many critical infrastructure industries of all sizes face the common problem of managing large amounts of aerial imagery collected from remote locations. There is a need to have all UAS data delivered to a standard data warehouse for ease of ingestion, archiving, and collaboration. The demand for these data management solutions is exploding with many utilities, oil and gas, land management, telecom (5G transformation) and civil engineering companies creating more and more imagery and other 3d and 4d data for analysis and decision support.
The Department of Interior has recognized this need early on and has focused resources and energy on creating the solution that will not only handle a single set of use cases , but scale along with the explosion in these types of data. The Department of Interior has funded an open source UAS-DM application is designed to centrally manage UAS imagery, facilitate uploads to the cloud in low internet conditions, and automate imaging processing workflows, such as orthorectification. To make this technology available to the public as a common good and to help foster a collaborative community that can make UAV operations seamless .
This platform as a service is extremely useful for all enterprises that are in need of capturing , managing and using drone imagery, lidar, ground points etc…to help manage their assets and create better decision making for field workers and managers along with executives.
We will demonstrate the UAS-DM application, outline the feature roadmap, and
show its extensible framework for building collaborative workflows around image collection,
processing, sharing, and metadata capture, to enable location intelligence.
Critical Infrastructure Monitoring Using UAV Imageryaditess
The use of two rapidly evolving approaches, the Unmanned Aerial Vehicles (UAVs) and Dense Image Matching (DIM) techniques is an attractive solution to extract high quality photogrammetric products like 3D point clouds and orthoimages.
The 2016 Remote Sensing Field camp will take the form of two projects.
A low tech, low cost aerial photography project using visible spectrum UAV/Ultralight Aircraft mounted cameras as the sensor to demonstrate that relatively low tech, low cost solutions can achieve surprisingly good results when compared to more commercial systems.
A more high tech, high cost terrestrial LiDAR collect of a building or structure of historical or architectural significance.
The scope of a project will influence all other aspects of the project, including its cost, timing, quality and risk.
This document describes a project to find optimal observation points and routes between them for unmanned vehicles patrolling hazardous terrain. Key points:
- Cost layers are created from terrain data like elevation, forests, slopes, and roads to represent the cost of traversing each area.
- The A* algorithm is used to find lowest-cost paths between observation points, accounting for factors like visibility, proximity to roads and forests, and terrain slope.
- Sample data from North Carolina is used to test the methods, creating cost layers from elevation, soil, forest, and other GIS data in the sample database.
- Scripts are written in Grass GIS shell scripting language to automate the cost layer generation
geoinformatics handbook:it contains all open source software and commerical software of remote sensing,gis and photogrammerty and also all free data sources.free data sources such as DEM and LIDAR
The document summarizes the mission entities and operations plan for the PROBA satellite mission. It describes the various organizations involved and their roles, including planning and processing data from the CHRIS and HRC instruments, as well as conducting technology experiments. It provides details on request and data processing procedures, instrument operations and constraints.
Unmanned Aerial Systems (UAS) Data Quality and Accuracy RealitiesUAS Colorado
Technical presentation from Matt Bethel, Director of Technology for the Geomatics division of Merrick & Company for the April Rocky Mountain UAS Professionals Meetup group. This talk focused on realistic vertical accuracies that can be derived from unmanned aircraft systems (UAS) using photogrammetric (imagery) techniques.
Best practices for_managing_geospatial_data1Leng Kim Leng
Autodesk provides geospatial software solutions that bridge CAD and GIS technologies. This allows organizations to access and share critical geospatial data across departments and applications. Key Autodesk geospatial software includes AutoCAD Map 3D, which enables engineers to work with spatial data in AutoCAD, and Autodesk MapGuide Enterprise, which delivers web-based mapping applications. These solutions incorporate open-source FDO technology to provide native access to different data sources. Autodesk Topobase extends the capabilities with industry-specific data models and tools for advanced infrastructure management.
Person Detection in Maritime Search And Rescue OperationsIRJET Journal
This document discusses recent research on using computer vision and machine learning techniques for person detection in maritime search and rescue operations from images and video captured by drones. Specifically, it summarizes 12 research papers on this topic, covering approaches such as training convolutional neural networks on bird's eye view datasets to detect people from aerial images, using multiple detection methods like sliding windows and precise localization, combining data from multiple drones and sensors to optimize search efforts, and evaluating models on both RGB and thermal image datasets. The goal of this research is to automate part of the search process to make maritime rescue operations more efficient and effective.
Person Detection in Maritime Search And Rescue OperationsIRJET Journal
1) The document discusses using machine learning and computer vision techniques for person detection in maritime search and rescue operations using drones/UAVs. It aims to automatically detect people in images/videos captured by drones to help with search efforts.
2) A key challenge is that people appear small in drone footage and are often obscured by vegetation or terrain. The models need to be trained on similar bird's eye view data to achieve high accuracy. The document reviews different person detection models and their use in search and rescue.
3) It discusses recent work involving using efficient neural networks like MobileNet for object detection from drones. Other work involves using depth sensors and pose estimation for person tracking, as well as using distributed deep learning
AI and Space: finally, no more arguing with the GPSSpeck&Tech
ABSTRACT: This talk will be about how AIKO is revolutionizing how space missions are operated, thanks to the use of Artificial Intelligence both on-board the spacecraft and on-ground, in the mission control centers. AI is posed to be one of the game-changers of the space industry, helping to achieve more scalable, profitable missions that deliver more relevant and usable data. AIKO is leading this race for the adoption of AI in space, and during this talk, we’ll cover some of the crazy things we are doing in the company.
BIO: Mattia Varile, Chief Innovation Officer (CIO). Mattia's primary role involves investigating and testing innovative technologies applied to automation for the space sector. He earned his degree in Aerospace Engineering from Politecnico di Torino and gained valuable experience working as a systems engineer with the CubeSat Team Polito. Since 2018, Mattia has been an active member of AIKO, where he has honed his expertise in Artificial Intelligence, specifically in Deep Learning and Reinforcement Learning. Prior to his current role, Mattia participated in several research projects and startup initiatives.
IRJET - Drone Delivery System: A ReviewIRJET Journal
This document summarizes research on drone delivery systems. It discusses using drones for quick and environmentally friendly last-mile delivery of goods ordered online. The document reviews different drone technologies like the Naza M-lite flight controller, ESC, and GPS module that enable autonomous drone delivery. It presents the block diagram and components of the prototype drone delivery system developed by the authors. These include the flight controller, ESC, GPS, receiver, transmitter, and camera. The results demonstrate the drone's ability to operate autonomously in different modes like attitude, return-to-home, and failsafe using these components. The conclusion is that this drone delivery system can reduce delivery time and provide accurate performance for applications like delivering supplies after disasters.
Surveyors already have access to ground-based, manned flight, and satellite data, so will they embrace this new technology in earnest?
By Bill McNeil, Contributor/Advisor, and Colin Snow, CEO and Founder, Skylogic Research, LLC
Organizations around the world are facing a "data tsunami" as next-generation sensors produce enormous volumes of Earth observation data. Come learn how NASA is leveraging AWS to efficiently work with data and computing resources at massive scales. NASA is transforming its Earth Sciences EOSDIS (Earth Observing System Data Information System) program by moving data processing and archiving to the cloud. NASA anticipates that their Data Archives will grow from 16PB today to over 400PB by 2023 and 1 Exabyte by 2030, and they are moving to the cloud in order to scale their operations for this new paradigm. Learn More: https://aws.amazon.com/government-education/
IRJET- Proposed Design for 3D Map Generation using UAVIRJET Journal
The document proposes a design for 3D map generation using an unmanned aerial vehicle (UAV). Images collected by the UAV would undergo processing using techniques like photogrammetry and videogrammetry to generate point clouds and convert the 2D images into 3D models. Pix4Dmapper software would be used to analyze control points within images, overlap similar images, filter out noise, and generate the 3D point cloud which forms the basic building block for 3D map creation. The vSLAM algorithm would also be used to determine the sensor orientation and reconstruct the environment. The proposed system would use tools like the Tower app and databases like MySQL and HBase to control the UAV, process and store the image data,
MO3.L10 - STATUS OF PRE-LAUNCH ACTIVITIES FOR THE NPOESS COMMUNITY COLLABORAT...grssieee
The document summarizes the status of pre-launch validation activities for the NPP satellite. It discusses that validation teams are continuing work to characterize sensor data records and environmental data records in preparation for post-launch validation. Team leads provide experience from past missions and are working with stakeholders and experts to refine algorithms and calibration. Activities include analysis of test data, preparation of validation tools, and coordination between sensor and data record teams.
the hybrid cloud[1] World Pipeline MagazineLayne Tucker
1. The document discusses a pilot project funded by the US Department of Transportation to test whether cloud and mobile technologies could improve pipeline risk management processes like damage prevention and integrity management.
2. The pilot project implemented ProStar's cloud-based geospatial solution called Transparent Earth to capture precise location data of buried pipelines using mobile devices, GPS, and pipe locators. This allowed real-time sharing of pipeline location and attribute data with field workers.
3. The pilot was successful, improving data collection, quality, and accessibility. Using cloud and mobile technologies enhanced workflows and supported compliance with new regulations.
The document summarizes the process of collecting and processing LiDAR data from aircraft for geospatial applications. Key steps include planning flights to cover a project area, flying the aircraft equipped with a laser scanner and GPS, processing raw laser and GPS data to determine point locations, extracting useful data, ensuring accuracy by inspecting overlaps between flight lines, and delivering the final data products to clients.
Field Data Collecting, Processing and Sharing: Using web Service TechnologiesNiroshan Sanjaya
Collecting, Distributing and Analyzing field data is a crucial part in any geospatial study. Field data collection tools and methods have been developed significantly due to the advancement of technologies such as Global Navigational Satellite Systems (GNSS) and development of smartphones. Accurate field data collection is also a necessary task for broad spatial data analysis and proper decision making. Development of Web technologies led to share the data and information effectively. This study tries to develop a framework based on the Geospatial Semantic Web technologies for disseminating and processing field data. Experimental results from an implemented prototype show that the proposed framework allows to visualize and process the field data in any context. The system of this study is capable of distributing and processing field data using web application. Moreover, the study demonstrates the importance and the capabilities of web services for spatial data gathering and processing. The system has been developed based on Free and Open Source Software (FOSS) packages such as ZOO-Project, Open Data Kit, etc. It enables user to further improve or deploy the system for variety of studies.
World Pipelines - Better Together - SCADA and GISsmrobb
This document discusses how geographic information systems (GIS) and supervisory control and data acquisition (SCADA) systems can work together to improve pipeline operations. Traditionally, pipeline operators have relied on SCADA alone, but integrating SCADA data with GIS capabilities offers significant benefits. The combination allows operators to view pipeline assets and real-time operating conditions within an accurate geospatial context. Linking GIS and SCADA without data duplication also reduces long-term costs while providing operators a comprehensive picture to more effectively troubleshoot problems and dispatch field crews. Pipeline companies are now able to realize improved logistics, decision-making, and overall operational efficiency by integrating their GIS and SCADA systems.
The National Polar-orbiting Operational Environmental Satellite System (NPOESS) is a tri-agency effort between NOAA, NASA, and the Department of Defense to develop the next generation of weather and environmental satellites. NPOESS aims to reduce costs by consolidating previous separate satellite programs and will provide critical data for weather forecasting, climate monitoring, and other applications. NPOESS will produce a variety of environmental data records from multiple sensors on each satellite to measure things like sea surface temperature, winds, ozone, and more.
Airborne Data Processing And Analysis Software PackageJanelle Martinez
This document describes software developed at the University of North Dakota to process and analyze airborne measurement data. The software, called the Airborne Data Processing and Analysis (ADPAA) package, was created as open source software to fully automate data processing while incorporating missing value codes and multiple levels of data processing. ADPAA produces standardized ASCII files that contain metadata to document the data and facilitates quality control procedures and reprocessing of data.
This document provides an overview of BARCoMmS, a ground station testing software created by NASA interns for the iSat project. BARCoMmS consists of four main modules - DITL, CFDP, Bulletin, and Command. The CFDP module enables reliable file transfers using CCSDS protocols and includes GUIs for control and monitoring. The Command module sends commands to and displays telemetry from the satellite. All modules communicate through signals and slots in a modular architecture, and additional modules can easily be added. BARCoMmS provides a framework for testing and developing the iSat flight software.
This document describes a project to find optimal observation points and routes between them for unmanned vehicles patrolling hazardous terrain. Key points:
- Cost layers are created from terrain data like elevation, forests, slopes, and roads to represent the cost of traversing each area.
- The A* algorithm is used to find lowest-cost paths between observation points, accounting for factors like visibility, proximity to roads and forests, and terrain slope.
- Sample data from North Carolina is used to test the methods, creating cost layers from elevation, soil, forest, and other GIS data in the sample database.
- Scripts are written in Grass GIS shell scripting language to automate the cost layer generation
geoinformatics handbook:it contains all open source software and commerical software of remote sensing,gis and photogrammerty and also all free data sources.free data sources such as DEM and LIDAR
The document summarizes the mission entities and operations plan for the PROBA satellite mission. It describes the various organizations involved and their roles, including planning and processing data from the CHRIS and HRC instruments, as well as conducting technology experiments. It provides details on request and data processing procedures, instrument operations and constraints.
Unmanned Aerial Systems (UAS) Data Quality and Accuracy RealitiesUAS Colorado
Technical presentation from Matt Bethel, Director of Technology for the Geomatics division of Merrick & Company for the April Rocky Mountain UAS Professionals Meetup group. This talk focused on realistic vertical accuracies that can be derived from unmanned aircraft systems (UAS) using photogrammetric (imagery) techniques.
Best practices for_managing_geospatial_data1Leng Kim Leng
Autodesk provides geospatial software solutions that bridge CAD and GIS technologies. This allows organizations to access and share critical geospatial data across departments and applications. Key Autodesk geospatial software includes AutoCAD Map 3D, which enables engineers to work with spatial data in AutoCAD, and Autodesk MapGuide Enterprise, which delivers web-based mapping applications. These solutions incorporate open-source FDO technology to provide native access to different data sources. Autodesk Topobase extends the capabilities with industry-specific data models and tools for advanced infrastructure management.
Person Detection in Maritime Search And Rescue OperationsIRJET Journal
This document discusses recent research on using computer vision and machine learning techniques for person detection in maritime search and rescue operations from images and video captured by drones. Specifically, it summarizes 12 research papers on this topic, covering approaches such as training convolutional neural networks on bird's eye view datasets to detect people from aerial images, using multiple detection methods like sliding windows and precise localization, combining data from multiple drones and sensors to optimize search efforts, and evaluating models on both RGB and thermal image datasets. The goal of this research is to automate part of the search process to make maritime rescue operations more efficient and effective.
Person Detection in Maritime Search And Rescue OperationsIRJET Journal
1) The document discusses using machine learning and computer vision techniques for person detection in maritime search and rescue operations using drones/UAVs. It aims to automatically detect people in images/videos captured by drones to help with search efforts.
2) A key challenge is that people appear small in drone footage and are often obscured by vegetation or terrain. The models need to be trained on similar bird's eye view data to achieve high accuracy. The document reviews different person detection models and their use in search and rescue.
3) It discusses recent work involving using efficient neural networks like MobileNet for object detection from drones. Other work involves using depth sensors and pose estimation for person tracking, as well as using distributed deep learning
AI and Space: finally, no more arguing with the GPSSpeck&Tech
ABSTRACT: This talk will be about how AIKO is revolutionizing how space missions are operated, thanks to the use of Artificial Intelligence both on-board the spacecraft and on-ground, in the mission control centers. AI is posed to be one of the game-changers of the space industry, helping to achieve more scalable, profitable missions that deliver more relevant and usable data. AIKO is leading this race for the adoption of AI in space, and during this talk, we’ll cover some of the crazy things we are doing in the company.
BIO: Mattia Varile, Chief Innovation Officer (CIO). Mattia's primary role involves investigating and testing innovative technologies applied to automation for the space sector. He earned his degree in Aerospace Engineering from Politecnico di Torino and gained valuable experience working as a systems engineer with the CubeSat Team Polito. Since 2018, Mattia has been an active member of AIKO, where he has honed his expertise in Artificial Intelligence, specifically in Deep Learning and Reinforcement Learning. Prior to his current role, Mattia participated in several research projects and startup initiatives.
IRJET - Drone Delivery System: A ReviewIRJET Journal
This document summarizes research on drone delivery systems. It discusses using drones for quick and environmentally friendly last-mile delivery of goods ordered online. The document reviews different drone technologies like the Naza M-lite flight controller, ESC, and GPS module that enable autonomous drone delivery. It presents the block diagram and components of the prototype drone delivery system developed by the authors. These include the flight controller, ESC, GPS, receiver, transmitter, and camera. The results demonstrate the drone's ability to operate autonomously in different modes like attitude, return-to-home, and failsafe using these components. The conclusion is that this drone delivery system can reduce delivery time and provide accurate performance for applications like delivering supplies after disasters.
Surveyors already have access to ground-based, manned flight, and satellite data, so will they embrace this new technology in earnest?
By Bill McNeil, Contributor/Advisor, and Colin Snow, CEO and Founder, Skylogic Research, LLC
Organizations around the world are facing a "data tsunami" as next-generation sensors produce enormous volumes of Earth observation data. Come learn how NASA is leveraging AWS to efficiently work with data and computing resources at massive scales. NASA is transforming its Earth Sciences EOSDIS (Earth Observing System Data Information System) program by moving data processing and archiving to the cloud. NASA anticipates that their Data Archives will grow from 16PB today to over 400PB by 2023 and 1 Exabyte by 2030, and they are moving to the cloud in order to scale their operations for this new paradigm. Learn More: https://aws.amazon.com/government-education/
IRJET- Proposed Design for 3D Map Generation using UAVIRJET Journal
The document proposes a design for 3D map generation using an unmanned aerial vehicle (UAV). Images collected by the UAV would undergo processing using techniques like photogrammetry and videogrammetry to generate point clouds and convert the 2D images into 3D models. Pix4Dmapper software would be used to analyze control points within images, overlap similar images, filter out noise, and generate the 3D point cloud which forms the basic building block for 3D map creation. The vSLAM algorithm would also be used to determine the sensor orientation and reconstruct the environment. The proposed system would use tools like the Tower app and databases like MySQL and HBase to control the UAV, process and store the image data,
MO3.L10 - STATUS OF PRE-LAUNCH ACTIVITIES FOR THE NPOESS COMMUNITY COLLABORAT...grssieee
The document summarizes the status of pre-launch validation activities for the NPP satellite. It discusses that validation teams are continuing work to characterize sensor data records and environmental data records in preparation for post-launch validation. Team leads provide experience from past missions and are working with stakeholders and experts to refine algorithms and calibration. Activities include analysis of test data, preparation of validation tools, and coordination between sensor and data record teams.
the hybrid cloud[1] World Pipeline MagazineLayne Tucker
1. The document discusses a pilot project funded by the US Department of Transportation to test whether cloud and mobile technologies could improve pipeline risk management processes like damage prevention and integrity management.
2. The pilot project implemented ProStar's cloud-based geospatial solution called Transparent Earth to capture precise location data of buried pipelines using mobile devices, GPS, and pipe locators. This allowed real-time sharing of pipeline location and attribute data with field workers.
3. The pilot was successful, improving data collection, quality, and accessibility. Using cloud and mobile technologies enhanced workflows and supported compliance with new regulations.
The document summarizes the process of collecting and processing LiDAR data from aircraft for geospatial applications. Key steps include planning flights to cover a project area, flying the aircraft equipped with a laser scanner and GPS, processing raw laser and GPS data to determine point locations, extracting useful data, ensuring accuracy by inspecting overlaps between flight lines, and delivering the final data products to clients.
Field Data Collecting, Processing and Sharing: Using web Service TechnologiesNiroshan Sanjaya
Collecting, Distributing and Analyzing field data is a crucial part in any geospatial study. Field data collection tools and methods have been developed significantly due to the advancement of technologies such as Global Navigational Satellite Systems (GNSS) and development of smartphones. Accurate field data collection is also a necessary task for broad spatial data analysis and proper decision making. Development of Web technologies led to share the data and information effectively. This study tries to develop a framework based on the Geospatial Semantic Web technologies for disseminating and processing field data. Experimental results from an implemented prototype show that the proposed framework allows to visualize and process the field data in any context. The system of this study is capable of distributing and processing field data using web application. Moreover, the study demonstrates the importance and the capabilities of web services for spatial data gathering and processing. The system has been developed based on Free and Open Source Software (FOSS) packages such as ZOO-Project, Open Data Kit, etc. It enables user to further improve or deploy the system for variety of studies.
World Pipelines - Better Together - SCADA and GISsmrobb
This document discusses how geographic information systems (GIS) and supervisory control and data acquisition (SCADA) systems can work together to improve pipeline operations. Traditionally, pipeline operators have relied on SCADA alone, but integrating SCADA data with GIS capabilities offers significant benefits. The combination allows operators to view pipeline assets and real-time operating conditions within an accurate geospatial context. Linking GIS and SCADA without data duplication also reduces long-term costs while providing operators a comprehensive picture to more effectively troubleshoot problems and dispatch field crews. Pipeline companies are now able to realize improved logistics, decision-making, and overall operational efficiency by integrating their GIS and SCADA systems.
The National Polar-orbiting Operational Environmental Satellite System (NPOESS) is a tri-agency effort between NOAA, NASA, and the Department of Defense to develop the next generation of weather and environmental satellites. NPOESS aims to reduce costs by consolidating previous separate satellite programs and will provide critical data for weather forecasting, climate monitoring, and other applications. NPOESS will produce a variety of environmental data records from multiple sensors on each satellite to measure things like sea surface temperature, winds, ozone, and more.
Airborne Data Processing And Analysis Software PackageJanelle Martinez
This document describes software developed at the University of North Dakota to process and analyze airborne measurement data. The software, called the Airborne Data Processing and Analysis (ADPAA) package, was created as open source software to fully automate data processing while incorporating missing value codes and multiple levels of data processing. ADPAA produces standardized ASCII files that contain metadata to document the data and facilitates quality control procedures and reprocessing of data.
This document provides an overview of BARCoMmS, a ground station testing software created by NASA interns for the iSat project. BARCoMmS consists of four main modules - DITL, CFDP, Bulletin, and Command. The CFDP module enables reliable file transfers using CCSDS protocols and includes GUIs for control and monitoring. The Command module sends commands to and displays telemetry from the satellite. All modules communicate through signals and slots in a modular architecture, and additional modules can easily be added. BARCoMmS provides a framework for testing and developing the iSat flight software.
Similar to Embry-Riddle 2018 Unmanned Aircraft Systems Capstone (20)
Generative Classifiers: Classifying with Bayesian decision theory, Bayes’ rule, Naïve Bayes classifier.
Discriminative Classifiers: Logistic Regression, Decision Trees: Training and Visualizing a Decision Tree, Making Predictions, Estimating Class Probabilities, The CART Training Algorithm, Attribute selection measures- Gini impurity; Entropy, Regularization Hyperparameters, Regression Trees, Linear Support vector machines.
Enhanced data collection methods can help uncover the true extent of child abuse and neglect. This includes Integrated Data Systems from various sources (e.g., schools, healthcare providers, social services) to identify patterns and potential cases of abuse and neglect.
Discovering Digital Process Twins for What-if Analysis: a Process Mining Appr...Marlon Dumas
This webinar discusses the limitations of traditional approaches for business process simulation based on had-crafted model with restrictive assumptions. It shows how process mining techniques can be assembled together to discover high-fidelity digital twins of end-to-end processes from event data.
Embry-Riddle 2018 Unmanned Aircraft Systems Capstone
1. Running head: UAS INTEGRATION 1
Unmanned Aircraft System Integration: Research into Surveying and Land Management
Applications
Tyler Summerlin, Dakota Freshman, Chasen Newland, Grady Roth
Embry-Riddle Aeronautical University
2. UAS INTEGRATION 2
Abstract
In this paper the two primary projects completed in the AS475 capstone course
will be overviewed in detail. These projects involved assisting Nexus Southwest with
small Unmanned Aerial Systems (sUAS) integration for surveying and conducting
operations in Bagdad, AZ at the Bridle Creek Habitat to determine the possibility of
differentiating plants and mapping erosion. The group members involved were Dakota
Freshman, Tyler Summerlin, Chasen Newland, and Grady Roth; each having specific
roles in each project. Integrating sUAS operations into Nexus Southwest involved a trial
run using both sUAS and current surveying techniques to determine the viability of
replacing conventional methods. Using the DJI Phantom 4, UAV aerial imagery was
captured and processed using Pix4D and ArcGIS to create orthomosaics and digital
surface models (DSM) with layered contouring. The resulting deliverables proved to be
of a greater quality with a much lower cost and time investment than the current methods
used by surveyors. The mission in Bagdad was of a larger scope, requiring processed
imagery covering approximately 70 acres. After multiple collection flights, the images
were stitched together and combined to create a DSM which shows both erosion and
elevation changes on the river, while the generated orthomosaic was of a high enough
quality to differentiate plant species through imagery. For future projects, datasets
overtime could map changes in erosion and vegetation, creating valuable data for the city
of Bagdad.
3. UAS INTEGRATION 3
Table of Contents
Abstract……………………………………………………………………………….2
Introduction……………………………………………….…………………………..5
Team Members/Positions…………………………………………………….........5
Nexus Southwest LLC Mission…………………………………………………….…6
Concept of Operations (CONOP) – Nexus Southwest……………..………..…….6
Limitations…………………………………….……….…………………………..7
Data Analysis…………………………………………..…………………………..7
Incorporating sUAS into Nexus Southwest……………….……………………….9
Costs and Hardware Requirements……………………………………………..9
sUAS Software/Hardware…….………………………………………………..11
Qualified sUAS Pilots…..……………………………………………………...11
Findings – Nexus Southwest………………….…………………………………...12
Bagdad, AZ Mission…………………………..……………………………………...13
Concept of Operations (CONOP) – Bagdad, AZ……….…………………………14
Data Analysis…….………………………………………………………………..15
Limitations/Risk Analysis…………………………………………………………15
Non-Participating People in the Flight Area…………………………………...17
4. UAS INTEGRATION 4
Power Lines……………..……………………………………………………...17
Wildlife/Airport…………..…………………………………………………….18
Weather………………………..………………………………………………..18
Distance to Area of Operations/Time Constraints.……………………………..18
Waypoints………………………………………...…………………………….19
Results……………………………………………………………………………..19
Future Outlook – Bagdad, AZ……………………………………………………..21
Lessons Learned………………………….…………………………………………...21
Conclusion………………………………..…………………………………………...22
References………………………………..…………………………………………...23
Appendix A…………………………………………………………………………...24
Appendix B……………………………………………………………………………25
Appendix C……………………………………………………………………………26
5. UAS INTEGRATION 5
Introduction
The AS 475 Unmanned Aircraft System Mission Execution capstone course is
designed to take skills that students have learned in the classroom and use them in the
real world. Throughout this semester, Group 2 has used these skills to gather data and
information from small unmanned aircraft systems (sUAS) in the field for two separate
customers. The first mission involved surveying a property for Nexus Southwest LLC, a
leading land surveying company in the Prescott area. The other mission took place in
Bagdad, AZ gathering data and surveying the Bridle Creek Riparian Habitat. Throughout
the semester, Group 2’s main goal was to show the customers how sUAS can be used to
help simplify their workflow; as well as providing the members of Group 2 the
opportunities to get real world experience with not only sUAS operations, but also
experience with companies/individuals who are looking to utilize UAS as an additional
tool.
Team Members/Positions
The following individuals consisted of Group 2:
Dakota Freshman – Team Leader(Bagdad)/Pilot-In-Command
(PIC)
Grady Roth – Team Leader (Nexus Southwest)/Visual
Observer/Scribe/Safety Pilot
Tyler Summerlin – Data Analyst/Safety Pilot
Chasen Newland – Visual Observer/Personal Relations
6. UAS INTEGRATION 6
Nexus Southwest LLC Mission
To assist Nexus Southwest with research into sUAS integration with their current
business practices. To complete this, Group 2 joined Nexus Southwest surveyor, Adam
Haywood, out to a client’s personal home to assess the approximate nine acres to
determine boundary lines in order for the client to add to their personal home. This
mission would act as a trial run to see if sUAS is a tool that Nexus Southwest could
invest in for future business endeavors.
Concept of Operations (CONOP) – Nexus Southwest
For this mission, Group 2 made the decision to perform the flight in two sections
due to an elevation change on the property which would affect the ground sampling
distance (GSD); which in turn would impact the accuracy of the final product. With the
help of Adam Haywood and his personal surveying equipment, Group 2 was also able to
acquire ground control points (GCP) with the intention to use them to help anchor the
captured images to the geographic location.
Due to the size of the area being captured, it was decided that the distribution of
visual observers (VO) throughout the property was unnecessary. Seeing as how the
property was small in comparison to other projects performed prior for the capstone class,
as well as the fact that the unmanned aircraft would be flown at an altitude that could be
easily seen from one central location.
7. UAS INTEGRATION 7
Limitations
For this project, the largest limitation that Group 2 faced was the unknown failure
of the unmanned aircraft’s GPS. This would then lead to inaccuracy when processing the
captured images in Pix4D. While it did affect measurement capabilities to an extent,
ultimately Nexus Southwest found the most valuable piece of rendered data was the
orthomosaic; which the GPS failure had no real effect on.
Data Analysis
Upon completion of capturing the data on site, Group 2 returned to the Embry-
Riddle campus and proceeded to process the images with Pix4D. With over 400 images
collected and uploaded into the software, a clear and concise orthomosaic was able to be
rendered as seen in
Figure 1. This alone
can prove beneficial
to Nexus Southwest
with the
orthomosaic’s
capability of high
detail within any desired area, in
addition to being within a one-centimeter accuracy. The point cloud can also be used to
measure distances and areas which is essential in surveying.
Figure 1. Nexus Orthomosaic
8. UAS INTEGRATION 8
In addition, DSM was generated to show the rapid elevation change near the
property, as shown in Figure 2. Both the DSM and Orthomosaic were then exported as
.tiff files and opened in ESRI’s ArcMap, where 1-foot contours were generated, shown in
Figure 3. By using ArcGIS additional data can be derived and shown from the Pix4D
outputs, such as layering of data, spatial analysis, and more detailed maps. While ArcGIS
was not strictly necessary, it was
used to provide better
deliverables to Nexus Southwest.
There was only one main issue
that came up during processing;
the Phantom 4 Group 2 used had
an unknown error with the GPS,
which resulted in the z-axis having an error of ~50% after the first processing pass. After
a second trip to the site both
sets of images were
combined using the best fit
images to reduce the error.
This dataset was used to
create the deliverables and
resulted in a much more
accurate product.
Figure 2. Nexus DSM
Figure 3. Nexus 1-Foot Contour
9. UAS INTEGRATION 9
Incorporating sUAS Into Nexus Southwest
After processing all the necessary data, Group 2 took it upon themselves to visit
Nexus Southwest at their home office and observe how their day-to-day business is
conducted. The goal of this visit was to determine how Nexus Southwest would need to
change their business to incorporate sUAS into their operations. Upon reviewing their
operation, Group 2 came to the consensus that the following would need to happen.
Costs and Hardware Requirements
If Nexus Southwest is interested in having sUAS being integrated into their
surveying business, the company will have to make some of the following purchases in
order to perform successfully:
One/two up to date computers
Contain the necessary software to produce the images (Pix4D)
An unmanned aircraft to perform the missions
The tables below contain the specifications that Group 2 would recommend, the
price of subscriptions for Pix4D (see Appendix A), and the price for each computer.
Pix4D requires specific system requirements depending on the size of the project (see
Appendix B). With the listed minimum/recommended system requirements and the
experience from using the software, Group 2 came up with estimations of what would be
deemed the best system requirements while maintaining a reasonable budget. With a
previous meeting at the headquarters of Nexus Southwest located in downtown Prescott,
they determined that the orthomosaic that Pix4D is able to produce can sell in their
business at an estimated $5,000.
10. UAS INTEGRATION 10
The ideal situation that Group 2 came up with to help start Nexus Southwest LLC
integrate drones into their business would be the following. Once the company has
upgraded one or two of the computers to the recommended system requirements, along
with purchasing the recommended sUAS, Nexus can download the software and start a
two-week trial that is offered before making a final decision on purchasing the license
that the company believes would fit their needs. Once they are able to perform a few jobs
with the drone, given the operators of the sUAS are licensed under 14 CFR Part 107 –
Small Unmanned Aircraft Systems, and receiving net profit for those two weeks,
depending on the amount of jobs performed and orthomosaics sold would potentially pay
for not only the drone and the insurance of the aircraft, but would potentially cover the
Perpetual License and the cost of upgrading the one or two computers. When referencing
Table 2, if the estimations of the Nexus worker is correct (selling an orthomosaic for
$5,000 for each job) it would take a total of three jobs to not only recoup money spent on
upgrading equipment and obtaining the necessary hard/software, there would be a net
surplus of between $1,500-$3,000 that could go into upgrading more equipment in the
field or back at the headquarters.
Table 1
Recommended Hardware
Intel 8th Generation Core i7-8700K
Nvidia GeForce GTX 1060 4GB
32-64 GB Random Access Memory (RAM)
1TB Solid State Drive (SSD)
Accessories (Monitor, keyboard, mouse, etc)
Estimated Total of Computer (Each Unit): $2,200-$3,500
11. UAS INTEGRATION 11
sUAS Software Requirements
The largest area of concern for Nexus Southwest to integrate sUAS operations
into their surveying business would be the use of computer software that has proven to be
efficient when it comes to data collected from unmanned aircraft. The two main pieces
of software that Group 2 believes will give Nexus Southwest the most benefit would be
Pix4D and ArcGIS. Pix4D can generate an orthomosaic representation of the area that
was surveyed as well as a DTM and DSM. These files can then be exported into ArcGIS
and other software that is used by Nexus Southwest.
Qualified sUAS Pilots
As with any type of commercial aviation operation, proper certification is a
necessity. Unmanned aircraft operations are no different. If Nexus Southwest wishes to
proceed with sUAS as part of their arsenal, then a priority for them would to have either
all, or designated employees, acquire the 14 CFR Part 107 – Small Unmanned Aircraft
Systems license. With this, Nexus Southwest would then be able to conduct sUAS
operations in conjunction with their surveying missions.
Table 2
Total Necessary Equipment
Phantom 4 Pro (with accessories): $1,499
DJI Care Refresh: $139
Computer Upgrade (Per Unit): $2,200-$3,500
Pix4D Perpetual License: $8,700
Total Cost: $12,538 - $13,838
12. UAS INTEGRATION 12
Findings – Nexus Southwest
With the information gathered throughout the project, Nexus Southwest can see
huge benefits with the implementation of sUAS. Unmanned aircraft have the capability
to not only expand Nexus Southwest’s operations, but also save them time and money in
the process. However, for the implementation of sUAS in the surveying field certain
changes must be made.
First, for Nexus Southwest to see the benefits of sUAS in their current operations
a key change that must be made is the update of both computer software and hardware.
As stated prior, with the cost an orthomosaic is valued at Nexus would be able to
recuperate any expenses spent on sUAS implementation; this alone shows the value that a
company like Nexus Southwest can find in unmanned aviation.
If Nexus Southwest were to make these changes to their current business
practices, they could see the returns on their expenses almost instantly. As both Group 2
and Adam Haywood experienced first-hand, time on site can be shorten greatly. With
this project, Adam explained how a site such as that one would require him to spend
approximately two to three hours at the site collecting the data points that he would later
input into their surveying software; which would require an additional two to four hours
processing.
With an unmanned aircraft, Group 2 was able to perform the data collection
portion in only 30 to 45 minutes; collecting all the necessary data points needed later for
processing. As Nexus Southwest explained, the current process for creating an
orthomosaic will include the following:
13. UAS INTEGRATION 13
Hiring a pilot/Rent a plane
Filing a flight plan
Flying to the site from an airport and capturing the images
Processing the captured images to create an orthomosaic
In total, the process takes approximately a week to complete from capturing
images to producing the final product; with an estimated cost of $5,000, as discussed
prior with Nexus employees. As evident from Group 2’s participation, an unmanned
aircraft and the proper software/hardware can cut this time in half and save Nexus
Southwest money while at the same time producing a product that is worth just as much,
if not more.
Bagdad, AZ Mission
Conduct sUAS operations in Bagdad, AZ at the Bridle Creek Habitat to “provide
adequate vegetation and land feature data from missions to assist in the monitoring of
changes to both over time. This data should be detailed enough to possibly illustrate
growth rates of trees from year to year as well as erosion and/or deposition of land
features” (Eiker, 2018, p. 1).
14. UAS INTEGRATION 14
Concept of Operations (CONOP) – Bagdad, AZ
For this project, Group 2 came to the consensus that the best course to take for
efficient operations was to plan multiple routes throughout the Bridle Creek Habitat. To
accomplish this, routes and
waypoints were pre-loaded into
both iPads so that if the rare
occurrence that one would fail a
back-up would be ready to go.
As seen in Figure 4, the area of
operations consisted of
approximately 70 acres.
Due to constraints from
both the terrain and current Federal Aviation Administration (FAA) regulations, it was
decided to split the area of operations in to three sections. With this in mind, Group 2
was cognizant of ensuring that proper overlapping was performed so that not a single
piece of land would be missed when conducting the data analysis. In addition, it was also
decided to have multiple visual observers placed throughout the area so that the sUAS
would never be out of visual line of sight (VLOS), as per 14 CFR Part 107 – Small
Unmanned Aircraft Systems.
Figure 4. Bagdad, AZ. Reprinted from Google Maps,
2018, Retrieved from www.google.com/maps
15. UAS INTEGRATION 15
Data Analysis
After performing multiple flights over the course of three weeks, a DTM, a DSM,
and an orthomosaic representation were made
in Pix4D. The three datasets were run on the
highest settings and combined using 20 GCPs,
which stitched the datasets into one map, as
shown in Figure 5. The processing time for the
initial project was around 36 hours, and the
resulting DSM was large enough that the .tiff
image could not be opened without issues.
To combat this, the project was re-run on low-
medium settings to result in a lower file size while keeping the same detail as on the
highest settings. There were some issues with the DSM, since the last two datasets were
taken in overcast conditions the elevations were showing an upslope were there should
have been a decrease in elevation. The last flight was also taken 10 meters higher to
avoid power lines, which also threw the data off. The ray cloud showed the camera GPS
positions in completely wrong locations, as shown in Figure 6. This did not noticeably
affect the orthomosaic, however, the DSM and DTM were not properly drawn, as shown
in Figure 7. To combat this, the image properties were edited to have the same elevation,
and the last dataset to have a 10-meter higher elevation.
Figure 5. Image Overlap
16. UAS INTEGRATION 16
Limitations/Risk Analysis
During the mission in Bagdad, Arizona, Group 2 had a list of risks and a minimal
amount of limitations that they were able to mitigate either immediately or had to wait
depending on the situation. Most of the limitations were due to technical difficulties.
Since the iPads and tablets had no service due to Verizon being the sole service provider
in the area, the group had issues getting a connection to the maps and uploading them to
the mission under the GSP app. The group was able to prepare for this situation by
downloading the maps and route patterns before leaving the school and uploading the
routes onto the app before takeoff. Other limitations included small areas for safe takeoff
Figure 7. Digital Surface Model (Incorrect)
Figure 6. Ray Cloud
17. UAS INTEGRATION 17
and landing. However, Group 2 was able to find larger areas for the safety of the aircraft
and the crew members. Due to the layout of the terrain, there were certain points where
the operators could potentially lose sight of the aircraft. To prevent the lost sight, the
group had two visual observers on the mountain side hiking trail to keep visual line of
sight (VLOS) of the unmanned aircraft at all times.
Non-Participating People in the Flight Area
Two of the days of operation, there were students observing how the operations
are handled in these types of situations. The risk was mitigated by making the
students and teachers aware to maintain a good distance away from the aircraft
while flying away from those individuals.
Another mission included other non-participants (hikers) in the area. The
operators stopped the mission temporarily and alerted the non-participants of the
situation and waited until the people left the area.
Power Lines
Roughly around half of the operating area was surrounded by power lines that
could have caused major damage to the aircraft (towers were about 125 feet).
The risk was mitigated by alerting the operator to fly at an altitude of 170 - 200
feet in order to keep a safe and consistent distance from the power lines. In
addition, whenever the unmanned aircraft would fly anywhere near the power
lines the visual observers kept a constant visual to ensure operations were within
Part 107 regulations.
18. UAS INTEGRATION 18
Wildlife/Airport
There was very minimal wildlife located during the missions. In such an event
when there was wildlife, the group would pause the mission and wait until the
wildlife were out of the area of operations.
Due to the location of the Bridle Creek Habitat, Bagdad Airport-E51 was well
within the operating area. To ensure proper safety precautions, Group 2 made it
a point to always call the airport to inform them of the missions being conducted,
as well as being cognizant of the unmanned aircraft’s altitude while in the air;
ensuring that it never flew into controlled airspace and remained below 400 feet.
Weather
Weather for the most part was consistent with mostly clear skies with some
scattered clouds between days of operations. On one occasion, the weather had
small amounts of precipitation along with higher winds up to 18 mph gusting. In
order to mitigate that risk, wind speeds were consistently measured throughout
the operation to ensure that speeds never exceeded the DJI Phantom 4’s wind
limitations. When it came to the inconsistent precipitation, the group made the
decision to wait out the rain and when it seemed like conditions were good to fly
continued with the mission.
Distance to Area of Operations/Time Constraints
Due to the nature of the operation, Group 2 faced a limitation in the form of both
travel distance and time. With hours of operations limited to 12:00 – 5:00, as
19. UAS INTEGRATION 19
well as taking into consideration the distance from Prescott to Bagdad
(approximately an hour and a half), the common window that Group 2 was able
to fly was greatly limited to roughly an hour and a half to two hours.
Unfortunately, there was not much that Group 2 could do to combat this
predicament. With this in mind, the group was always cognizant of the situation
and tried to perform as efficiently as possible. When it appeared that the time
constraints could greatly affect the operations, Group 2 took it upon themselves
to travel to Bagdad on their own time to finish the data collection process.
Waypoints
At the beginning of the project, Group 2 made a consensus that the best course to
take, in terms of aircraft, would be to use the DJI Phantom 4. Due to this
decision, the group was limited by the Phantom 4’s capabilities; the best example
of this is the inability to create more than 100 waypoints within one route. To
combat this, Group 2 would end up creating multiple routes throughout each
section so that the number of waypoints would no longer be a factor for the
project.
Results
Throughout flying the sUAS, Group 2 was able to gain some vital data for the
customer. Part of the mission requirement was to be able to get pictures of the ground to
show erosion of the area while the deciduous trees had no leaves. The lack of leaves
would allow for the Electro-Optical (EO) sensor to be able to see the ground without
being obscured. This requirement led the group to make an orthomosaic and a DSM
20. UAS INTEGRATION 20
representation of the 70-acre area in Pix4D, as shown in Figure 8; which gave a clear
view of its entirety at a much better scale than satellite images or airplane mounted
cameras. High resolution satellites, such as GeoEye-1 and Airbus’ Pleiades only give
around a 30 cm GSD, with airplane mounted cameras giving around a 15 cm GSD.
Group 2 was able to get a 1.99 cm GSD average across the area. Having such a low GSD
allows for the product given to the customer to be a higher resolution, which can be more
valuable to the customer. In addition to the orthomosaic, a DSM and a DTM were made
as well. These two models allow for the differences between the ground elevations to be
represented with a color gradient. The colors range from red, the highest points, to a deep
blue which represent the lowest areas. This is very helpful data for this mission because
the customer is able to see where the water will be flowing and where the eroded
materials will eventually settle.
Figure 8. Orthomosaic and DSM
21. UAS INTEGRATION 21
Future Outlook – Bagdad, AZ
With all the baseline data collected, Group 2’s intent was to venture back out to
Bagdad, AZ later in the year to collect the same set of data so that a comparative analysis
can be performed. With a full understanding of what needs to be accomplished, Group 2
hoped to provide more data with the use of a multispectral camera, the MicaSense
RedEdge; which will provide both the group and the customer with a Normalized
Difference Vegetation Index (NDVI). Unfortunately, both time and weather conditions
prevented the group from conducting further research into the Bridle Creek Riparian
Habitat before the conclusion of the semester. However, since the purpose of the project
was meant for research, Group 2 has set up the project in a way that allows for future AS
475 classes to continue the research and allows the customer to see the area’s
vegetation/erosion change in the years to come.
Lessons Learned
Over the spring semester, Group 2 learned many lessons from working in Bagdad,
AZ and with Nexus Southwest that could not be taught in a classroom environment.
Planning ahead was one of the most crucial aspects that the group had to deal with
throughout the semester. It was very difficult at times to coordinate between group
members as well as the commercial participants. Group 2 had to deal with other aspects
such as weather and wind conditions that impacted not only the availability of flying, but
the quality of the images that were produced through the Pix4D software. Specific
aircraft selection for the missions represented the second lesson that Group 2 learned
after the Bagdad project. It is noted that for the mission in Bagdad, the group decided to
use the DJI Phantom 4 for the mission and planned six flights to get the most amount of
22. UAS INTEGRATION 22
overlap possible while taking an estimated four days of flight to be able to finish that
mission. This specific mission could have potentially been done within a less amount of
time and a lesser amount of days spent out in Bagdad using the Lynx aircraft which could
have possibly finished the entire mission within one day and about 30 minutes of flight
time. Using physical and easily noticeable ground control points proved to be a very
beneficial tool when creating the orthomosaic, DSM and DTM in Pix4D due to the GCPs
acting as an anchor helping solidify the final products.
Conclusion
The AS 475 Mission Execution class has proven an invaluable asset to the degree
program and to the UAS students who are hoping to have a better understanding of how
the commercial side of UAS operations are conducted. With the conclusion of both
projects, Group 2 was able to successfully gain real world experience in the world of
unmanned aircraft operations; in addition to knowledge of where this degree can see the
most benefit and opportunity in untapped markets.
23. UAS INTEGRATION 23
References
Eiker, D. (2018). Bridle Creek Wildlife Habitat Enhancement Area Project [Class
Handout]. Prescott, AZ: Embry-Riddle Aeronautical University, 3221.
n.a. (2018). Retrieved from
https://www.google.com/maps/place/Bagdad,+AZ+86321/@34.5831216,-
113.1735107,1328m/data=!3m1!1e3!4m5!3m4!1s0x80d2e63e3e46f32b:0xf35a06
f021c31358!8m2!3d34.5768849!4d-113.1764033?hl=en
n.a. (2018). Retrieved from https://store.dji.com/product/phantom-4-pro
n.a. (2018). Retrieved from https://support.pix4d.com/hc/en-us/articles/202557289-
System-requirements-Minimum-and-recommended-computer-specifications
24. UAS INTEGRATION 24
Appendix A
Pix4Dmapper Cost. Reprinted from Pix4D, 2018, Retrieved from
https://support.pix4d.com/hc/en-us/articles/202557289-System-requirements-Minimum-
and-recommended-computer-specifications
25. UAS INTEGRATION 25
Appendix B
Minimum Hardware Requirements. Reprinted from Pix4D, 2018, Retrieved from
https://support.pix4d.com/hc/en-us/articles/202557289-System-requirements-
Minimum-and-recommended-computer-specifications
Pix4D Recommended Hardware. Reprinted from Pix4D, 2018, Retrieved from
https://support.pix4d.com/hc/en-us/articles/202557289-System-requirements-
Minimum-and-recommended-computer-specifications
26. UAS INTEGRATION 26
Appendix C
Phantom 4 PRO. Reprinted from DJI Store, 2018, Retrieved
from https://store.dji.com/product/phantom-4-pro