Space–Ground Remote Sensor Network for Monitoring Suspended Sediments in the Yellow River Basin
The Yellow River, China’s second-largest river, is renowned for its high sediment content. In response to the potential impacts of climate change on Yellow River water resources and water environmental management, an advanced monitoring and forecasting system for water and sediment throughout the en...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-10-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/24/21/6888 |
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| author | Yingzhuo Hou Yonggang Ma Zheng Hou Maham Arif Jinghu Li Xing Ming Xinyue Liu Qianguo Xing |
| author_facet | Yingzhuo Hou Yonggang Ma Zheng Hou Maham Arif Jinghu Li Xing Ming Xinyue Liu Qianguo Xing |
| author_sort | Yingzhuo Hou |
| collection | DOAJ |
| description | The Yellow River, China’s second-largest river, is renowned for its high sediment content. In response to the potential impacts of climate change on Yellow River water resources and water environmental management, an advanced monitoring and forecasting system for water and sediment throughout the entire Yellow River basin—from its source to the sea—is urgently needed. In this paper, based on the current status of water and sediment monitoring technologies, we proposed an integrated remote sensing monitoring network that combines satellite remote sensing, drone remote sensing, and ground-based wireless automatic monitoring networks, aiming to achieve the digital monitoring of water and sediment across the entire Yellow River basin, from its upper reaches to its estuary in the Bohai Sea. By utilizing ground-based in situ hyperspectral stations for sediment source areas in the upper reaches, such as the Qingshui River basin in Ningxia, and satellite remote sensing for midstream processes in the Xiaolangdi reservoir before the flood season in 2023, as well as downstream monitoring at the Yellow River estuary, this paper demonstrates the novelty and efficiency of the space–air–ground integrated remote sensing monitoring technology. |
| format | Article |
| id | doaj-art-eadac5b15d874eeab934af2ebe8bd65e |
| institution | OA Journals |
| issn | 1424-8220 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj-art-eadac5b15d874eeab934af2ebe8bd65e2025-08-20T02:13:15ZengMDPI AGSensors1424-82202024-10-012421688810.3390/s24216888Space–Ground Remote Sensor Network for Monitoring Suspended Sediments in the Yellow River BasinYingzhuo Hou0Yonggang Ma1Zheng Hou2Maham Arif3Jinghu Li4Xing Ming5Xinyue Liu6Qianguo Xing7CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, ChinaNingxia Hui Autonomous Region Hydrology and Water Resources Monitoring and Early Warning Center, Yinchuan 750001, ChinaNingxia Hui Autonomous Region Hydrology and Water Resources Monitoring and Early Warning Center, Yinchuan 750001, ChinaCAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, ChinaCAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, ChinaCollege of Physical Science and Technology, Hebei University, Baoding 071002, ChinaCollege of Physical Science and Technology, Hebei University, Baoding 071002, ChinaCAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, ChinaThe Yellow River, China’s second-largest river, is renowned for its high sediment content. In response to the potential impacts of climate change on Yellow River water resources and water environmental management, an advanced monitoring and forecasting system for water and sediment throughout the entire Yellow River basin—from its source to the sea—is urgently needed. In this paper, based on the current status of water and sediment monitoring technologies, we proposed an integrated remote sensing monitoring network that combines satellite remote sensing, drone remote sensing, and ground-based wireless automatic monitoring networks, aiming to achieve the digital monitoring of water and sediment across the entire Yellow River basin, from its upper reaches to its estuary in the Bohai Sea. By utilizing ground-based in situ hyperspectral stations for sediment source areas in the upper reaches, such as the Qingshui River basin in Ningxia, and satellite remote sensing for midstream processes in the Xiaolangdi reservoir before the flood season in 2023, as well as downstream monitoring at the Yellow River estuary, this paper demonstrates the novelty and efficiency of the space–air–ground integrated remote sensing monitoring technology.https://www.mdpi.com/1424-8220/24/21/6888sensor networksatelliteground hyperspectral stationsuspended sediment concentrationthe Yellow River |
| spellingShingle | Yingzhuo Hou Yonggang Ma Zheng Hou Maham Arif Jinghu Li Xing Ming Xinyue Liu Qianguo Xing Space–Ground Remote Sensor Network for Monitoring Suspended Sediments in the Yellow River Basin Sensors sensor network satellite ground hyperspectral station suspended sediment concentration the Yellow River |
| title | Space–Ground Remote Sensor Network for Monitoring Suspended Sediments in the Yellow River Basin |
| title_full | Space–Ground Remote Sensor Network for Monitoring Suspended Sediments in the Yellow River Basin |
| title_fullStr | Space–Ground Remote Sensor Network for Monitoring Suspended Sediments in the Yellow River Basin |
| title_full_unstemmed | Space–Ground Remote Sensor Network for Monitoring Suspended Sediments in the Yellow River Basin |
| title_short | Space–Ground Remote Sensor Network for Monitoring Suspended Sediments in the Yellow River Basin |
| title_sort | space ground remote sensor network for monitoring suspended sediments in the yellow river basin |
| topic | sensor network satellite ground hyperspectral station suspended sediment concentration the Yellow River |
| url | https://www.mdpi.com/1424-8220/24/21/6888 |
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