Offered Papers Theme C: Delivering the Benefits from Grassland
Description
In developing nations where resources are scarce and increased population pressures create stress on available resources, methods are needed to examine effects of human migration and resultant changes in land cover. Widespread availability and low cost of remotely sensed imagery and Geographic Information Systems (GIS) are making such methods a reality to develop quantitative resource mapping and land cover change detection in developing nations (Sheng et al., 1997). However, difficulties arise in tropical regions when trying to analyse traditional vegetation bands (Bands 3 and 4), or indices such as NDVI because saturated pixels limit spectral distinction.
Citation
Baldyga, T. J.; Miller, S. N.; Driese, K. L.; and Maina-Gichaba, C., "Using Landsat Imagery to Analyse Land Cover Change in the Njoro Watershed, Kenya" (2023). IGC Proceedings (1993-2023). 52.
https://uknowledge.uky.edu/igc/20/themeC/52
Included in
Agricultural Science Commons, Agronomy and Crop Sciences Commons, Plant Biology Commons, Plant Pathology Commons, Soil Science Commons, Weed Science Commons
Using Landsat Imagery to Analyse Land Cover Change in the Njoro Watershed, Kenya
In developing nations where resources are scarce and increased population pressures create stress on available resources, methods are needed to examine effects of human migration and resultant changes in land cover. Widespread availability and low cost of remotely sensed imagery and Geographic Information Systems (GIS) are making such methods a reality to develop quantitative resource mapping and land cover change detection in developing nations (Sheng et al., 1997). However, difficulties arise in tropical regions when trying to analyse traditional vegetation bands (Bands 3 and 4), or indices such as NDVI because saturated pixels limit spectral distinction.
