- Home
- News & Events
- Programs
- Monitoring and Assessment
- Ecological Site Descriptions (ESD)
- Landscape Toolbox
- Long Term Ecological Research
- Data Catalogs
- Long Term Agricultural Research
- People
- Publications
- Plans & Reports
- Education
- The Jornada
- Partners
- USDA-ARS Range Management Research
- U.S. LTER Network
- U.S. National Science Foundation
- Natural Resource Conservation Service
- Bureau of Land Management
- USGS
- NEON
- NOAA National Climatic Data Center
- USDA UV-B Monitoring & Research Program
- New Mexico State University
- Chihuahuan Desert Rangeland Research Center
- USDA-ARS Southwestern Cotton Ginning Research Lab
- Western Snow Conference
UAS for Remote Sensing - Image Orthorectification
Challenges associated with orthorectification of this type of imagery include the relatively small image footprints, considerable image distortion due to the use of a low-cost digital camera, difficulty in locating ground control points and in automatic tie point generation, and relatively large errors in exterior orientation parameters (X, Y, Z, roll, pitch, heading). We have developed a semi-automated orthorectification approach suitable for handling large numbers of individual small-footprint UAS imagery without the need for manual tie points and ground control points. Mosaics created with this process have a positional accuracy of approximately 1-2m for mosaics consisting of 100-300 images. To date, we have acquired over 30,000 UAS images, which have been processed into 100 image mosaics.


















