Wasteland Characterization and Fragmentation Analysis in Korba District (Chhattisgarh, India): A Study-Based Geospatial Data and Spatial Statistical Approach
2022
Wang, Junxian | Bhunia, Gouri Sankar | Shit, Pravat Kumar
The present study aims to identify the wastelands distribution, fragmentation pattern, and their clusters between 1991 and 2019 in the Korba district of Chhattisgarh. Multi-temporal Landsat satellite data were used to recognize the different classes of wastelands. The landscape fragmentation analysis of wasteland categories was performed through FRAGSTATS v.4.2 in patch analyst. Moran’s I and Getis–Ord (Gᵢ*) statistics were used to identify wasteland clusters and outlier analyses. Most of the wastelands were distributed in the east and north of the district, and there was a decreasing trend observed during the study period. Hotspot and outlier analysis demonstrate the existence of homogeneous and heterogeneous wasteland groups based on their spatial proximity and fragmentation pattern. The present research using satellite-based analysis of wasteland fragments could play a major role in verbalizing strategies for safeguarding native forest areas and degraded wasteland in the Korba district.
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