From Pixels to Patrols: Integrating Remote Sensing Alerts with Field Verification in Forest Protection

Author(s)	Mr. akshaya rathore
Country	India
Abstract	Forest landscapes in India face continuous pressures from encroachment, deforestation, grazing, and unregulated land-use expansion. Traditional patrol-driven monitoring often detects disturbances late due to limited staff capacity and vast spatial extents. This study presents a near real-time “Pixels to Patrols” workflow that converts satellite-derived land cover changes into actionable forest alerts and integrates ranger feedback to refine detection. Using Google Earth Engine (GEE) and Dynamic World V1 composites, significant pixel-level class probability changes are identified through a systematic before–after comparison. These detections are vectorised into alert polygons, enriched with spectral, spatial, terrain, and temporal attributes, and assigned to field staff for verification. Verification outcomes then serve as ground-truth labels for a machine learning feedback loop, enabling continuous model improvement. This operational framework demonstrates how remote sensing, GIS, and AI can be integrated into daily forest governance.
Keywords	Remote sensing; Google Earth Engine; Dynamic World; AI feedback; forest governance; patrol monitoring.
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 16, Issue 4, October-December 2025
Published On	2025-11-19
DOI	https://doi.org/10.71097/IJSAT.v16.i4.9543
Short DOI	https://doi.org/hbb8f7

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