Monitors the advance of gold mining via satellite and radar in the Amazonian region of Madre de Dios in Peru, a country where the “gold rush” has devastated more than 237,000 acres (96,000 hectares) of primary forest over the past 30 years. Can overcome the limitation that satellites encounter when trying to capture photos of the forest on a cloudy day. RAMI’s radar monitoring can “see” through clouds and thus provide information about the forest without weather patterns getting in the way

Deforestation (Forests and forest loss): georeferenced information on the remaining forest stock, as well as the loss of Peruvian forest cover on an annual basis. Early Warning: to generate georeferenced alerts, indicating disturbances in the forests in short periods of time, after the event has occurred, allowing to understand and visualize the behavior of deforestation and its causes in the initial stages, as well as to operationalize the actions of prevention and control of deforestation Degradation: its purpose is to generate periodically georeferenced data on forest degradation, based on selective disturbances of the forest without reaching deforestation and which are generally linked to selective logging activities. Use and Change in Land Use: generate georeferenced data periodically every two years or more, through which it is possible to identify changes in the use of forest land, by monitoring the areas that have been deforested

Map created by Amazon Georeferenced Socioenvironmental Information Network (RAISG) to map illegal mining in protected territories of the Amazon