摘要：Several global high-resolution built-up surface products have emerged over the last fve years, taking full advantage of open sources of satellite data such as Landsat and Sentinel. However, these data sets require validation that is independent of the producers of these products. To fll this gap, we designed a validation sample set of 50K locations using a stratifed sampling approach independent of any existing global built-up surface products. We launched a crowdsourcing campaign using Geo-Wiki (https://www.geo-wiki.org/) to visually interpret this sample set for built-up surfaces using very highresolution satellite images as a source of reference data for labelling the samples, with a minimum of fve validations per sample location. Data were collected for 10m sub-pixels in an 80×80m grid to allow for geo-registration errors as well as the application of diferent validation modes including exact pixel matching to majority or percentage agreement. The data set presented in this paper is suitable for the validation and inter-comparison of multiple products of built-up areas.
