Deforestation monitoring

Deforestation monitoring tracks the loss of tree cover over time by comparing satellite images of the same area across dates, flagging pixels or regions where forest has been cleared, burned or degraded. It ranges from near-real-time alert systems that flag a clearing within days to periodic annual assessments of total forest cover.

Most systems rely on optical or radar remote sensing, deriving vegetation indices such as the normalized difference vegetation index from multispectral bands and applying change-detection algorithms or machine-learning classifiers trained to distinguish forest loss from cloud shadow, seasonal leaf-off, or agricultural harvest. Radar sensors add the ability to see through cloud cover, a persistent problem for optical monitoring in tropical regions. This differs from broader satellite imagery analysis, which covers any imagery-derived measurement, and from static land-use modeling, which projects future change rather than detecting change that has already happened.

Deforestation monitoring underpins supply-chain due-diligence rules such as the EU Deforestation Regulation, carbon-credit verification, and conservation enforcement, and is closely tied to habitat fragmentation analysis of the resulting landscape. The main pitfalls are confusing selective logging or natural disturbance with permanent clearing, and treating coarse-resolution alerts as precise enough for legal or financial decisions without ground verification.