Research Projects

Hitherto, land degradation (LD) is being mapped using visual interpretation approaches on multi temporal satellite data. The main problem in such approach is lack of consistency in the outcome especially, when complex logic of multi-season satellite data interpretation is involved. Digital techniques through provide limited accuracy but greater spatial consistency in deriving information. For implementation of land degradation action plan, very large scale maps are required. Generating such information using normal visual techniques for entire country could attract huge time and cost. As an alternative for this type of visual interpretation technique, the digital extraction of land degradation classes from fine spatial resolution satellite imagery is required. So, there is a need to develop a suitable and efficient object oriented method to map and monitor land degradation processes so as to generate action plans to achieve the land degradation neutrality. The study will address, development of automatic object based land degradation information retrieval using multi-temporal high resolution remote sensing data along with ancillary data. The study is anticipated to develop software tools using open source object based classification algorithms or to develop new object based classification techniques to map land degradation on 1:10000 to 1:5000 scale.