@article{e2bf3f3d208040dc88e758ca2aa03f4c,
title = "Monitoring of Hydrological Resources in Surface Water Change by Satellite Altimetry",
abstract = "Satellite altimetry technology has unparalleled advantages in the monitoring of hydrological resources. After decades of development, satellite altimetry technology has achieved a perfect integration from the geometric research of geodesy to the natural resource monitoring research. Satellite altimetry technology has shown great potential, whether solid or liquid. In general, this paper systematically reviews the development of satellite altimetry technology, especially in terms of data availability and program practicability, and proposes a multi-source altimetry data fusion method based on deep learning. Secondly, in view of the development prospects of satellite altimetry technology, the challenges and opportunities in the monitoring application and expansion of surface water changes are sorted out. Among them, the limitations of the data and the redundancy of the program are emphasized. Finally, the fusion scheme of altimetry technology and deep learning proposed in this paper is presented. It is hoped that it can provide effective technical support for the monitoring and application research of hydrological resources.",
author = "Wei Li and Xukang Xie and Wanqiu Li and Meijde, {Mark van der} and Haowen Yan and Yutong Huang and Xiaotong Li and Qianwen Wang",
note = "Funding Information: This research was funded by the National Natural Science Foundation of China (41861061, 41930101, 42204006), the China Postdoctoral Science Foundation (2019M660091XB), the Key Laboratory of Geography and National Condition Monitoring, the Ministry of Natural Resources (2022NGCM01), the State Key Laboratory of Geo-Information Engineering and Key Laboratory of Surveying and Mapping Science and Geospatial Information Technology of MNR, CASM (2022-01-13), the Open Research Fund Program of the National Cryosphere Desert Data Center (E01Z790201/2021kf07), the Natural Science Foundation of Gansu Province (20JR10RA271, 21JR7RA317), the “Young Scientific and Technological Talents Lifting Project” Project of Gansu Province in 2020 (Li Wei), “Tianyou Youth Lifting Project” Program of Lanzhou Jiaotong University (Li Wei), and the Innovation and Entrepreneurship Education Reform and Cultivation Project in Gansu Province (1A50190117). Publisher Copyright: {\textcopyright} 2022 by the authors.",
year = "2022",
month = oct,
day = "1",
doi = "10.3390/rs14194904",
language = "English",
volume = "14",
journal = "Remote sensing",
issn = "2072-4292",
publisher = "MDPI",
number = "19",
}