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This study examines spatial and temporal patterns of forest loss across India using 30-meter GLC data from 1985 to 2022. Pixel-level transitions from closed to open forest and further to non-forest classes were analyzed across all ecoregions using Python. This helped to identify the specific locations and durations of the forest loss. Results show most transitions occurred within 10–15 years, peaking around 2000, particularly in North India. Spatial mapping of transitioned pixels across all ecoregions reveals widespread degradation patterns. While the study does not investigate the underlying drivers, it provides detailed, localized insights that can inform targeted conservation and land management efforts.