To detect illegal roads in remote areas, AI comes into play

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Scientists have deployed an artificial intelligence model to identify and detect roads in rural and remote areas.

Illegal roads, which fall outside the purview of environmental governance, often cut through dense forests and cause harm to the biodiversity living in fragile ecosystems. Illegal roads, like the one above in the Republic of the Congo, often cut through dense forests and cause harm to the biodiversity living in fragile ecosystems. Image by Bill Laurance.

Illegal roads, in particular, pose an increased threat because they don’t fall within the purview of environmental governance. The gaps that exist in detecting these roads have led to a blind spot in the data required for conservation and advocacy efforts. Citing previous research, Laurance said road-mapping studies in the Brazilian Amazon and Asia Pacific have found up to 13 times more road length than reported in government databases.

 

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