Deep learning used to count satellite-imaged trees in the West African Sahara and Sahel
Using an artificial intelligence technique known as deep learning and high-resolution remote sensing, scientists have counted and mapped the location of trees in 11,000 satellite images covering more than 1.3 million square kilometers (500,000 square miles) of the hot dry tropical, arid, and semi-arid western Sahara and Sahel deserts of Mauritania, Senegal, and southwestern Mali. Much to their surprise, the scientists counted 1.8 billion trees—a far greater number than expected based on earlier counts, which had underestimated the number of trees. This study is important in that it established a baseline for future tree counts to aid in the monitoring of how deforestation, global climate change, and perhaps even reforestation are affecting West African ecosystems. See also: Africa; Artificial intelligence; Deforestation; Desert; Ecosystem; Reforestation; Remote sensing; Sahel; Terrestrial ecosystem; Tree; Vegetation and ecosystem mapping