A first Chinese building height estimate at 10 m resolution (CNBH-10 m) using multi-source earth observations and machine learning-Reference-Cited by-同舟云学术

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A first Chinese building height estimate at 10 m resolution (CNBH-10 m) using multi-source earth observations and machine learning

Published:2023-06 Issue: Volume:291 Page:113578
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Wu Wan-Ben,Ma Jun,Banzhaf Ellen,Meadows Michael E.,Yu Zhao-Wu,Guo Feng-Xiang,Sengupta Dhritiraj,Cai Xing-Xing,Zhao Bin

Funder

National Natural Science Foundation of China

Science and Technology Commission of Shanghai Municipality

China Scholarship Council

Horizon 2020

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference63 articles.

1. Estimating the spatial distribution of the population of Riyadh, Saudi Arabia using remotely sensed built land cover and height data;Alahmadi;Comput. Environ. Urban. Syst.,2013

2. Will skyscrapers save the planet? Building height limits and urban greenhouse gas emissions;Borck;Reg. Sci. Urban Econ.,2016

3. Random forests. Machine learning;Breiman,2001

4. Global 1 km× 1 km gridded revised real gross domestic product and electricity consumption during 1992–2019 based on calibrated nighttime light data;Chen;Sci. Data,2022

5. Solar energy potential of urban buildings in 10 cities of China;Cheng;Energy,2020

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