How Artificial Intelligence Helped Us Predict Forest Loss in the Democratic Republic of the Congo
By Elizabeth Dow Goldman and Molly Bergen Near Lukolela, DRC. Flickr/CIFOR. Compared with the planet’s other large tracts of tropical forests, the forests in the Democratic Republic of Congo (DRC) have remained relatively intact — though that may soon be changing. Driven by factors such as shifting cultivation (slash-and-burn agriculture), fuelwood demand, logging, mining, infrastructure development, population growth and migration, … Continue reading How Artificial Intelligence Helped Us Predict Forest Loss in the Democratic Republic of the Congo
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