Preamble: Spatial distribution of Natural Resources such as water, forests, arable land and even minerals; their availability and accessibility determines who gets them and who doesn’t. Proper understanding of their distribution can go a long way in enacting laws and policies that will ensure sound management, equitable sharing and environmental protection as we go about their exploitation. This understanding can only be achieved if their spatial distribution is properly documented visa viz morphological and demographic characteristics of the ground in which they appear. Remote Sensing and Digital Image Processing uses satellite Images which can help us capture large areas of the ground with its characteristic and features. The images can then be processed; the resources can be located on the images, digitized and compiled into GIS layers which will assist in their management.
This is a 10-day course and covers the following:
- Opening and displaying an image
- Importing image
- Understanding bands and their usage (Land sat 7 & 8)
- Layer stacking, Mosaicking images
- Subset image, Image rectification and geo-referencing
- Resampling and interpolation of image
- Change detection, Image Classification
- DEM and STRM and generation of contours
- NDVI
- Principle Component Analysis & Tussled cap
