research data . Dataset . 2020

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)

Open Access English
  • Published: 31 Oct 2020
  • Publisher: JRC
Abstract
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).
Subjects
free text keywords: Copernicus, Built-up areas, GHSL, Big Data, Remote Sensing, Global, Artificial Intelligence, Sentinel-2, GHS-BUILT, http://publications.europa.eu/resource/authority/data-theme/SOCI, http://publications.europa.eu/resource/authority/data-theme/REGI, http://publications.europa.eu/resource/authority/data-theme/TECH
Communities
  • Rural Digital Europe
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