Downscaling Groundwater Storage Data in China to a 1-km Resolution Using Machine Learning Methods
<b>Abstract </b>High-resolution and continuous hydrological products have tremendous importance for the prediction of water-related trends and enhancing the capability for sustainable water resources management under climate change and human impacts [...]
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2021-02-01
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Online Access: | https://www.mdpi.com/2072-4292/13/3/523 |
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doaj-92e38fd17f034dafa8e49a3d542d5e8f2021-02-03T00:02:43ZengMDPI AGRemote Sensing2072-42922021-02-011352352310.3390/rs13030523Downscaling Groundwater Storage Data in China to a 1-km Resolution Using Machine Learning MethodsJianxin Zhang0Kai Liu1Ming Wang2State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, ChinaState Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, ChinaState Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China<b>Abstract </b>High-resolution and continuous hydrological products have tremendous importance for the prediction of water-related trends and enhancing the capability for sustainable water resources management under climate change and human impacts [...]https://www.mdpi.com/2072-4292/13/3/523n/a |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jianxin Zhang Kai Liu Ming Wang |
spellingShingle |
Jianxin Zhang Kai Liu Ming Wang Downscaling Groundwater Storage Data in China to a 1-km Resolution Using Machine Learning Methods Remote Sensing n/a |
author_facet |
Jianxin Zhang Kai Liu Ming Wang |
author_sort |
Jianxin Zhang |
title |
Downscaling Groundwater Storage Data in China to a 1-km Resolution Using Machine Learning Methods |
title_short |
Downscaling Groundwater Storage Data in China to a 1-km Resolution Using Machine Learning Methods |
title_full |
Downscaling Groundwater Storage Data in China to a 1-km Resolution Using Machine Learning Methods |
title_fullStr |
Downscaling Groundwater Storage Data in China to a 1-km Resolution Using Machine Learning Methods |
title_full_unstemmed |
Downscaling Groundwater Storage Data in China to a 1-km Resolution Using Machine Learning Methods |
title_sort |
downscaling groundwater storage data in china to a 1-km resolution using machine learning methods |
publisher |
MDPI AG |
series |
Remote Sensing |
issn |
2072-4292 |
publishDate |
2021-02-01 |
description |
<b>Abstract </b>High-resolution and continuous hydrological products have tremendous importance for the prediction of water-related trends and enhancing the capability for sustainable water resources management under climate change and human impacts [...] |
topic |
n/a |
url |
https://www.mdpi.com/2072-4292/13/3/523 |
work_keys_str_mv |
AT jianxinzhang downscalinggroundwaterstoragedatainchinatoa1kmresolutionusingmachinelearningmethods AT kailiu downscalinggroundwaterstoragedatainchinatoa1kmresolutionusingmachinelearningmethods AT mingwang downscalinggroundwaterstoragedatainchinatoa1kmresolutionusingmachinelearningmethods |
_version_ |
1724290418626002944 |