Problem
Decision makers required an accurate and validated LULC map for planning and analysis.
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In progressHigh-Accuracy LULC Mapping of Bhanu Municipality
Land Use/Land Cover mapping project using Sentinel-2 imagery and supervised Random Forest classification.
ArcGISSentinel-2PythonRandom ForestRemote Sensing
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Process
Prepared remote sensing data, trained and validated a Random Forest model, and evaluated output with Kappa statistics.
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Solution
Produced a high-accuracy LULC map in ArcGIS workflow with repeatable supervised classification methodology.
✓
Result
Validated the map with Kappa coefficient and presented the work to the President of Nepal.