scholarly journals Mapping of land cover with open‐source software and ultra‐high‐resolution imagery acquired with unmanned aerial vehicles

2020 ◽  
Vol 6 (4) ◽  
pp. 487-497 ◽  
Author(s):  
Ned Horning ◽  
Erica Fleishman ◽  
Peter J. Ersts ◽  
Frank A. Fogarty ◽  
Martha Wohlfeil Zillig
Keyword(s):  
High Resolution ◽  
Land Cover ◽  
Unmanned Aerial Vehicles ◽  
Open Source ◽  
Open Source Software ◽  
Aerial Vehicles ◽  
High Resolution Imagery

scholarly journals Using Unmanned Aerial Vehicles (UAV) for mornitoring the construction progress of Ho Chi Minh City urban railway project

2015 ◽  
Vol 18 (2) ◽  
pp. 104-112
Author(s):  
Nhat Huu Nguyen ◽  
Tam Minh Dao ◽  
Trung Van Le ◽  
Chon Trung Le
Keyword(s):  
High Resolution ◽  
Unmanned Aerial Vehicles ◽  
Aerial Images ◽  
3D Objects ◽  
Ground Control Points ◽  
Aerial Vehicles ◽  
High Resolution Imagery ◽  
Gis Data ◽  
High Flexibility ◽  
Railway Construction Project

This paper describes a new approach for monitoring the construction progress of the Urban Railway Construction Project “Metro line1 - Ben Thanh - Suoi Tien” by using Unmanned Aerial Vehicles (UAV) to capture high resolution imagery at different stages of the project. The advantage of the AscTec Falcon 8 systems lies in their high flexibility and efficiency in capturing the surface of an area from a low flight altitude. In addition, further information such as orthoimages, elevation models and 3D objects can easily be processed by Pix4Dmapper software. The Ground Control Points (GCPs) and GIS data were used to compare the achieved accuracy of UAV method. This study shows the feasibility of using an UAV system for acquiring the high resolution aerial images and the new opportunities for managing construction progress over time.

scholarly journals A Pilot Study to Estimate Forage Mass from Unmanned Aerial Vehicles in a Semi-Arid Rangeland

2020 ◽  
Vol 12 (15) ◽  
pp. 2431
Author(s):  
Alexandria M. DiMaggio ◽  
Humberto L. Perotto-Baldivieso ◽  
J. Alfonso Ortega-S. ◽  
Chase Walther ◽  
Karelys N. Labrador-Rodriguez ◽  
...  
Keyword(s):  
High Resolution ◽  
Unmanned Aerial Vehicles ◽  
Sampling Technique ◽  
Ground Level ◽  
South Texas ◽  
Lower Altitude ◽  
Aerial Vehicles ◽  
High Resolution Imagery ◽  
Non Destructive ◽  
Semi Arid

The application of unmanned aerial vehicles (UAVs) in the monitoring and management of rangelands has exponentially increased in recent years due to the miniaturization of sensors, ability to capture imagery with high spatial resolution, lower altitude platforms, and the ease of flying UAVs in remote environments. The aim of this research was to develop a method to estimate forage mass in rangelands using high-resolution imagery derived from the UAV using a South Texas pasture as a pilot site. The specific objectives of this research were to (1) evaluate the feasibility of quantifying forage mass in semi-arid rangelands using a double sampling technique with high-resolution imagery and (2) to compare the effect of altitude on forage mass estimation. Orthoimagery and digital surface models (DSM) with a resolution <1.5 cm were acquired with an UAV at altitudes of 30, 40, and 50 m above ground level (AGL) in Duval County, Texas. Field forage mass data were regressed on volumes obtained from a DSM. Our results show that volumes estimated with UAV data and forage mass as measured in the field have a significant relationship at all flight altitudes with best results at 30-m AGL (r2 = 0.65) and 50-m AGL (r2 = 0.63). Furthermore, the use of UAVs would allow one to collect a large number of samples using a non-destructive method to estimate available forage for grazing animals.

scholarly journals An open-source based toolchain for the georeferencing of old cadastral maps

2016 ◽  
Author(s):  
Jean-Michel Follin ◽  
Maïté Fahrasmane ◽  
Élisabeth Simonetto
Keyword(s):  
Land Cover ◽  
Open Source ◽  
Programming Language ◽  
Open Source Software ◽  
Human Activities ◽  
Historical Data ◽  
Cadastral Maps ◽  
First Results ◽  
The Web

More and more historical data are available on the web. In France, old cadastral maps are regularly published by the “départements”. Such material is relevant to various applications (on-the-field search of specific objects such as old boundary stakes, historical studies of demography, human activities, land cover…). The GeF laboratory is working on the development of a complete methodological toolchain to vectorise, correct and analyse cadastral parcels and their evolution, using open source software and programming language only (QGIS, GDAL, Python). This article details the use of a part of this toolchain - georeferencing old cadastral data - on parcels located near the Loir river, in two villages of southern Sarthe: Vaas and Aubigné-Racan. After a presentation of our methodological toolchain, we will discuss our first results.

scholarly journals An open-source based toolchain for the georeferencing of old cadastral maps

2016 ◽  
Author(s):  
Jean-Michel Follin ◽  
Maïté Fahrasmane ◽  
Élisabeth Simonetto
Keyword(s):  
Land Cover ◽  
Open Source ◽  
Programming Language ◽  
Open Source Software ◽  
Human Activities ◽  
Historical Data ◽  
Cadastral Maps ◽  
First Results ◽  
The Web

More and more historical data are available on the web. In France, old cadastral maps are regularly published by the “départements”. Such material is relevant to various applications (on-the-field search of specific objects such as old boundary stakes, historical studies of demography, human activities, land cover…). The GeF laboratory is working on the development of a complete methodological toolchain to vectorise, correct and analyse cadastral parcels and their evolution, using open source software and programming language only (QGIS, GDAL, Python). This article details the use of a part of this toolchain - georeferencing old cadastral data - on parcels located near the Loir river, in two villages of southern Sarthe: Vaas and Aubigné-Racan. After a presentation of our methodological toolchain, we will discuss our first results.

scholarly journals An open-source based toolchain for the georeferencing of old cadastral maps

2016 ◽  
Author(s):  
Jean-Michel Follin ◽  
Maïté Fahrasmane ◽  
Élisabeth Simonetto
Keyword(s):  
Land Cover ◽  
Open Source ◽  
Programming Language ◽  
Open Source Software ◽  
Human Activities ◽  
Historical Data ◽  
Cadastral Maps ◽  
First Results ◽  
The Web

More and more historical data are available on the web. In France, old cadastral maps are regularly published by the “départements”. Such material is relevant to various applications (on-the-field search of specific objects such as old boundary stakes, historical studies of demography, human activities, land cover…). The GeF laboratory is working on the development of a complete methodological toolchain to vectorise, correct and analyse cadastral parcels and their evolution, using open source software and programming language only (QGIS, GDAL, Python). This article details the use of a part of this toolchain - georeferencing old cadastral data - on parcels located near the Loir river, in two villages of southern Sarthe: Vaas and Aubigné-Racan. After a presentation of our methodological toolchain, we will discuss our first results.

Radiometric Quality Assessment of Video Sequences Acquired from UAV Photogrammetric Systems

2017 ◽  
Author(s):  
Damian Wierzbicki ◽  
Anna Fryskowska
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Video Stream ◽  
Video Data ◽  
Video Sequences ◽  
Wide Field ◽  
Sensing Applications ◽  
Aerial Vehicles ◽  
High Resolution Imagery ◽  
Low Altitude ◽  
Imagery Data

The issue of imagery data collection and its implementation in photogrammetric studies with the use of unmanned aerial vehicles is still valid and provides a wide field of research in the creation of new and expansion of existing solutions. It is particularly important to increase the accuracy of photogrammetric products. These days low altitude unmanned aerial vehicles are being used more and more often in photogrammetric applications. Compact digital cameras had acquired single, high-resolution imagery. Data obtained from low altitudes were often (and still are) used in mapping and 3D modelling. Due to the low costs of flights of UAV systems in comparison with traditional flights, applications of such platforms are also attractive for many remote sensing applications. However, due to the use of non-metric video cameras, one of the main problems when trying to automate the video data processing, is the video sequences’ relatively poor radiometric quality. The article addresses the issue of assessing the quality of the video imagery acquired from a low altitude UAV platform. The Authors presented quality Indicators dedicated to UAV video sequences. The method is based on the analysis of the video stream, obtained in the different weather and lighting conditions. As a result of the research, an objective quality index for video acquired from low altitudes was determined.

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