Publication Date
1993
Description
Raar remote sensing of rangelands offers new possibilities for monitoring and managing a valuable renewable resource that has low productivity. Two studies were conducted on mixed prairie sites in southern Alberta in 1991 to examine the ability to detect range differences in radar backscaner. The data showed that radar backscalter was most sensitive to changes in soil moisture content for seasonal differences, but for synthetic aperture radar(SAR) images it was concluded that most of the backscalter differences were due to differences in surface roughness. These results indicate useful information about rangeland resources may be extracted from SAR. data especially when used in combination with visible and near infrared reflectance and previous ground-based knowledge in a geographic information system.
Citation
Willms, W D.; Major, D J.; Hill, M J.; Brisco, B; and Brown, R J., "Remote Sensing and Geographic Information Systems for Range Assessment in Southern Alberta" (2024). IGC Proceedings (1993-2023). 4.
https://uknowledge.uky.edu/igc/1993/session44/4
Included in
Agricultural Science Commons, Agronomy and Crop Sciences Commons, Plant Biology Commons, Plant Pathology Commons, Soil Science Commons, Weed Science Commons
Remote Sensing and Geographic Information Systems for Range Assessment in Southern Alberta
Raar remote sensing of rangelands offers new possibilities for monitoring and managing a valuable renewable resource that has low productivity. Two studies were conducted on mixed prairie sites in southern Alberta in 1991 to examine the ability to detect range differences in radar backscaner. The data showed that radar backscalter was most sensitive to changes in soil moisture content for seasonal differences, but for synthetic aperture radar(SAR) images it was concluded that most of the backscalter differences were due to differences in surface roughness. These results indicate useful information about rangeland resources may be extracted from SAR. data especially when used in combination with visible and near infrared reflectance and previous ground-based knowledge in a geographic information system.
