Automated Mapping for Long-Term Analysis of Shifting Cultivation in Northeast India
نویسندگان
چکیده
Assessment of the spatio-temporal dynamics shifting cultivation is important to understand opportunities for land restoration. The past studies on mapping North-East (NE) India lack systematic assessment techniques. We have developed a decision tree-based multi-step threshold (DTMT) method consistent and long-term using Landsat data from 1975 2018. Widely used vegetation indices such as normalized difference index (NDVI), Normalized Burn Ratio (NBR) its relative NBR (RdNBR) were integrated with suitable thresholds in classification, which yielded overall accuracy above 85%. A significant decrease total area was observed an reduction 75% 1975–1976 2017–2018. methodology presented this study reproducible minimal inputs can be useful map similar changes by optimizing values accommodate differences other landscapes. Furthermore, crop-suitability maps generated incorporating climate soil factors prioritizes use plots. Google Earth Engine (GEE) platform employed automatic areas at desired time intervals facilitating seamless dissemination products. Besides novel DTMT method, study, aid sustainable management.
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ژورنال
عنوان ژورنال: Remote Sensing
سال: 2021
ISSN: ['2315-4632', '2315-4675']
DOI: https://doi.org/10.3390/rs13061066