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Applications of Remote Sensing and GISs in River Basin Ecosystems, 2nd Edition

Special Issue Editors


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Guest Editor
School of Social & Environmental Sustainability, University of Glasgow, Glasgow, UK
Interests: GISs; remote sensing; river basin management; ecosystem services; wetland; nature-based solutions; land cover and land use change
Special Issues, Collections and Topics in MDPI journals
College of Geomatics, Xi'an University of Science and Technology, Xi'an, China
Interests: geomorphology; land use change; remote sensing; climate change; soil erosion; erosion modelling
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Faculty of Geographical Science, Beijing Normal University, Beijing, China
Interests: hydrology progresses; land degradation; ecological thresholds; ecological restoration; water resources management; environmental modeling; land cover and land use change
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Yellow River Institute of Hydraulic Research, Yellow River Conservancy Commission, Ministry of Water Resources of China, Zhengzhou, China
Interests: land cover and land use change; vegetation structural parameter retrieval; ecological monitoring; hydrological response to vegetation change; quantitative remote sensing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue aims to explore the cutting-edge advancements and applications of remote sensing and geographic information systems (GISs) in the management and conservation of river basin ecosystems. It will cover a broad spectrum of topics, including the monitoring and assessment of water quality, mapping land use and land cover changes, analysis of hydrological processes, and modeling of ecosystem dynamics.

The purpose of this Special Issue is to provide a comprehensive overview of how remote sensing and GIS technologies are being utilized to address the challenges faced by river basin ecosystems globally. This Special Issue will contribute to the existing literature by showcasing innovative research that integrates these technologies to enhance our understanding and management of river basins. It will highlight case studies, methodological advancements, and practical applications, aiming to bridge the gap between theoretical research and practical implementation. By bringing together contributions from experts in the field, it will serve as a valuable resource for researchers, practitioners, and policymakers involved in river basin management and environmental conservation.

Dr. Jiren Xu
Dr. Pengfei Li
Dr. Changjia Li
Dr. Zhihui Wang
Guest Editors

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Keywords

  • remote sensing
  • GISs
  • river basin ecosystems
  • water quality monitoring
  • land use and land cover change
  • hydrological processes
  • ecosystem dynamics
  • environmental conservation
  • spatial analysis
  • sustainable management

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Published Papers (1 paper)

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Research

21 pages, 3657 KB  
Article
Spatiotemporal Changes in Grassland Yield and Driving Factors in the Kherlen River Basin (2000–2024): Insights from CASA Modeling and Geodetector Analysis
by Meihuan Yang, Haowei Yang, Tao Wang, Pengfei Li, Juanle Wang, Yating Shao, Ting Li, Jingru Zhang and Bo Wang
Water 2025, 17(23), 3397; https://doi.org/10.3390/w17233397 - 28 Nov 2025
Viewed by 622
Abstract
The Kherlen River Basin is a typical basin in the eastern Mongolian Plateau and is dominated by grassland. This study estimated the grassland yield in the Kherlen River Basin using the Carnegie–Ames–Stanford approach (CASA) model, combined with Theil–Sen median trend analysis and the [...] Read more.
The Kherlen River Basin is a typical basin in the eastern Mongolian Plateau and is dominated by grassland. This study estimated the grassland yield in the Kherlen River Basin using the Carnegie–Ames–Stanford approach (CASA) model, combined with Theil–Sen median trend analysis and the Geodetector, to explore its spatiotemporal changes and driving factors. This integrated framework links temporal trend detection with spatial interaction analysis to better reveal ecological responses to climatic and anthropogenic influences. The results showed the following: (1) The root mean square error (RMSE) between the estimated grassland yield and the laboratory measurements was 37.88 g/m2, with an estimation accuracy (EA) of 73.52%. (2) From 2000 to 2024, the grassland yield increased significantly at a rate of 1.98 g/(m2·a) (p < 0.05), with the fastest growth in the middle reaches. (3) Spatially, 79.78% of the basin exhibited significant increases, mainly in the central and western regions. The proportion of significant increase was highest in the upper reaches (40.36%), followed by the middle (32.89%) and lower reaches (6.53%). (4) Due to limited temporal resolution of socioeconomic data, the driving factor analysis covered the period 2000–2020, during which the overall grassland yield was primarily influenced by the interaction between precipitation and elevation (q = 0.6371). Specifically, the upper, middle, and lower reaches were mainly influenced by the interactions between temperature and precipitation (q = 0.6772), precipitation and elevation (q = 0.6377), and temperature and elevation (q = 0.4255), respectively. The study indicates that grassland yield in the Kherlen River Basin exhibited an overall increasing trend during 2000–2024, with climatic factors (precipitation and temperature) and the geographic factor (elevation) identified as the dominant drivers. The influence of human activities was not significant, although this result may be affected by uncertainties associated with data resolution limitations. Future work should incorporate higher-resolution remote sensing and socioeconomic datasets to better assess the impacts of human activities. Full article
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