
AI change detection integrates multi-temporal remote sensing features to extract spatial and attribute changes of ground objects. It intelligently identifies and visualizes changes (new, disappeared, conversion), improving monitoring efficiency and accuracy. Applications: flood monitoring, ecological monitoring, illegal construction land supervision.


Based on sub-meter remote sensing imagery, this study integrates spatiotemporal change detection to achieve automated, refined dynamic monitoring of forest, grassland and wetland resources.It identifies conversions including forest to cropland, forest to built-up, grassland to construction, grassland to garden plot, wetland to bare land, etc., supporting timely detection of ecological risks, implementation of key ecological protection projects, and data support for desertification control and carbon sink assessment.The figure shows grassland-to-cropland change detection results in a region (before: 2024, after: 2025).
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