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MapBiomas Alerta

Compiled from public sources on 2026-05-25. Not independently verified by MapBiomas Network.

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Brazilian deforestation alert validation and refinement system operated by the MapBiomas coalition. Aggregates alerts from multiple monitoring platforms (DETER, SADs, GLAD, SIRAD-X) across all six Brazilian biomes, then validates and refines each event using PlanetScope satellite imagery at 3.7 m resolution via Google Earth Engine. Publishes weekly validated alert polygons with before-and-after imagery, pressure-vector attribution, and property-level reports searchable by CAR (Cadastro Ambiental Rural) code. Monitoring period January 2019 to present. Operationally distinct from the annual MapBiomas land-cover collection: Alerta detects discrete native vegetation loss events rather than classifying full landscapes. Coordinated by the same MapBiomas coalition (co-creators include LAPIG, Imazon, IPAM, SOS Mata Atlantica, UFRGS, and approximately 14 further universities and NGOs); technical collaborators include IDS, The Nature Conservancy, Imaflora, ISA, and WWF. The manufacturer FK resolves to the mapbiomas consortium company entry; INPE contributes data feeds and participates in the Scientific Advisory Committee but is not an operating institution for Alerta.

MapBiomas Alerta is a Brazilian deforestation-alert validation and refinement service operated by the MapBiomas coalition across the six Brazilian biomes.[1] It aggregates alerts from monitoring systems including DETER, SAD, GLAD, and SIRAD-X, then validates and refines events with PlanetScope imagery in Google Earth Engine.[2] The methodology uses analyst validation, false-positive rejection, and supervised Random Forest boundary refinement from high-resolution before-and-after image pairs.[2] Published outputs include validated alert polygons, before-and-after imagery, pressure-vector attribution, and property-level reports linked to rural property and protected-area overlays.[2][1] The platform provides API access for alert retrieval and integration, alongside web downloads and GIS workflows for downstream users.[3][1]

Where this fits, supply chain

Compositional position

Deforestation ——— this topic
Sources
Cite https://eo-atlas.org/products/analysis-service/mapbiomas-alerta Markdown twin → Field definitions →