The World Bank GFDRR team engaged Azavea to aid them in the creation of a machine learning algorithm that would enable them to predict tree canopy cover in two African cities, Freetown, Sierra Leone and Dar-esSalaam, Tanzania. As part of the effort, a team of students at a local university participated in a limited labeling campaign using Azavea’s labeling application, GroundWork. Simultaneously, Azavea’s third-party vendor and labeling partner, CloudFactory...
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INFORMATION
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2023/12/19
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Document de travail
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186586
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1
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2023/12/20
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Disclosed
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Digital Jobs for Urban Resilience : Azavea Tree Canopy Analysis
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