Accuracy assessment of Global Human Settlement Layer (GHSL) built-up products over China

作者：Feng Liu, Shuai Wang, Yi Xu, Qing Ying, Yang Fu-kun, Yuchu Qin · 发表于：PLoS ONE · 年份：2020 · DOI：10.1371/journal.pone.0233164 · 被引用次数：43 · 研究领域：Land Use and Ecosystem Services、Impact of Light on Environment and Health、Remote Sensing and Land Use

Building a density map over large areas could provide essential information of land development intensity and settlement condition. It is crucial for supporting studies and planning of human settlement environment. The Global Human Settlement Layer (GHSL) is a comprehensive data set of mapping human settlement at a global scale, which was produced by the Joint Research Centre (JRC), European Commission. The built-up density is an important layer of GHSL data set. Currently, the validation of the GHSL built-up area products was preliminarily conducted over the United States and European countries. However, as a typical East Asian region, China is quite different from the United States, Europe, and other regions in terms of building forms and urban layouts. Therefore, it is necessary to perform an accuracy assessment of GHSL data set in Asian countries like China. With individual building footprint data of 20 typical cities in China, this paper presents our effort to validate the GHSL built-up area products. The aggregation mean and neighborhood search based algorithms are adopted for matching building footprint data and the GHSL products, through the regression analysis at per-pixel level, the building density map in raster format are generated as validation data. The accuracy index of GHSL built-up area was calculated for the study areas, and the validation methods were explored for GHSL built-up products at large scale. The results show that the built-up layer aggregated by ...