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Using Crowdsourcing and Deep Learning to Map Human Settlements - Geography Realm

Using Crowdsourcing and Deep Learning to Map Human Settlements - Geography  Realm

PDF) Mapping Human Settlements with Higher Accuracy and Less Volunteer Efforts by Combining Crowdsourcing and Deep Learning

The “Bystander Effect” With Crowdsourcing GIS Data - Geography Realm

Exodus 2.0: crowdsourcing geographical and social trails of mass migration

View of Geographies of Empty Spaces on Print and Digital Reference Maps: A Study of Washington State

PDF) Integrating multiple societal demands into urban forestry for the future: the case of Munich (Germany). In: Reimann, M.; Sepp, K.; Pärna, E.; Tuula, R.: The 7th International Conference on Monitoring and

Mapping New Informal Settlements Using Machine Learning and Time Series Satellite Images using GEE

Preservation and the New Data Landscape - Columbia GSAPP

Global Change Biology, Environmental Change Journal

Breaking new ground in mapping human settlements from space – The Global Urban Footprint - ScienceDirect

Global Change Biology, Environmental Change Journal

Frontiers An operational approach to near real time global high resolution mapping of the terrestrial Human Footprint

Using Crowdsourcing and Deep Learning to Map Human Settlements - Geography Realm

GIScience Heidelberg