文献类型：期刊文献

英文题名：A global product of fine-scale urban building height based on spaceborne lidar

作者：Ma, Xiao[1] Zheng, Guang[2] Xu, Chi[1] Moskal, L. Monika[3] Gong, Peng[4] Guo, Qinghua[5] Huang, Huabing[6] Li, Xuecao[7] Pang, Yong[8] Wang, Cheng[9] Xie, Huan[10] Yu, Bailang[11] Zhao, Bo[12] Zhou, Yuyu[4]

第一作者：Ma, Xiao

机构：[1] School of Life Sciences, Nanjing University, Nanjing, 210023, China; [2] International Institute for Earth System Sciences, Nanjing University, Nanjing, 210023, China; [3] School of Environment and Forest Sciences, University of Washington, Box 352100, Seattle, WA, 98195, United States; [4] Urban Systems Institute, Department of Geography and Earth Sciences, University of Hong Kong, 999077, Hong Kong; [5] Institute of Remote Sensing and Geographical Information Systems, School of Earth and Space Sciences, Peking University, Beijing, 100871, China; [6] School of Geospatial Engineering and Science, Sun Yat-Sen University, Southern Marine Science and Engineering Guangdong Laboratory [Zhuhai], Zhuhai, 519082, China; [7] College of Land Science and Technology, China Agricultural University, Beijing, 100083, China; [8] Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing, 100091, China; [9] Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100094, China; [10] College of Surveying and Geo-Informatics, Shanghai Key Laboratory of Space Mapping and Remote Sensing for Planetary Exploration, Tongji University, Shanghai, 200092, China; [11] School of Geographic Sciences, East China Normal University, Shanghai, 200241, China; [12] Department of Geography, University of Washington, Smith Hall 408, Box 353550, Seattle, WA, 98195, United States

年份：2023

外文期刊名：arXiv

收录：EI(收录号：20230385166)

语种：英文

外文关键词：Buildings - Landsat - Sustainable development

摘要：Characterizing urban environments with broad coverages and high precision is more important than ever for achieving the UN's Sustainable Development Goals (SDGs) as half of the world's populations are living in cities. Urban building height as a fundamental 3D urban structural feature has far-reaching applications. However, so far, producing readily available datasets of recent urban building heights with fine spatial resolutions and global coverages remains a challenging task. Here, we provide an up-to-date global product of urban building heights based on a fine grid size of 150 m around 2020 by combining the spaceborne lidar instrument of GEDI and multi-sourced data including remotely sensed images (i.e., Landsat-8, Sentinel-2, and Sentinel-1) and topographic data. Our results revealed that the estimated method of building height samples based on the GEDI data was effective with 0.78 of Pearson's r and 3.67 m of RMSE in comparison to the reference data. The mapping product also demonstrated good performance as indicated by its strong correlation with the reference data (i.e., Pearson's r = 0.71, RMSE = 4.60 m). Compared with the currently existing products, our global urban building height map holds the ability to provide a higher spatial resolution (i.e., 150 m) with a great level of inherent details about the spatial heterogeneity and flexibility of updating using the GEDI samples as inputs. This work will boost future urban studies across many fields including climate, environmental, ecological, and social sciences. Copyright ? 2023, The Authors. All rights reserved.