GHS-BUILT-S2 R2020A - GHS built-up grid, derived from Sentinel-2 global image composite for reference year 2018 using Convolutional Neural Networks (GHS-S2Net)
收藏DataCite Commons2020-10-29 更新2025-04-16 收录
下载链接:
http://data.europa.eu/89h/016d1a34-b184-42dc-b586-e10b915dd863
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资源简介:
This dataset corresponds to global map of built-up areas expressed in terms of a probability grid at 10 m spatial resolution derived from a Sentinel-2 global image composite (GHS_composite_S2_L1C_2017-2018_GLOBE_R2020A_UTM_10_v1_0) for reference year 2018. It builds on a new Deep Learning framework for pixel-wise large-scale classification of built-up areas named GHS-S2Net (GHS stands for Global Human Settlements, S2 refers to the Sentinel-2 satellite).
提供机构:
European Commission, Joint Research Centre (JRC)
创建时间:
2020-10-29



