Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
5.8
3.0
Journals
Water
Special Issues
Applications of Remote Sensing and GISs in River Basin Ecosystems
share announcement

Applications of Remote Sensing and GISs in River Basin Ecosystems

A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "New Sensors, New Technologies and Machine Learning in Water Sciences".

Deadline for manuscript submissions: 20 April 2025 | Viewed by 1370

Special Issue Editors

Dr. Jiren Xu

E-Mail Website
Guest Editor
School of Social & Environmental Sustainability, University of Glasgow, Dumfries, UK
Interests: GISs; remote sensing; river basin management; ecosystem services; wetland; nature-based solutions; land cover and land use change
Dr. Pengfei Li

E-Mail Website
Guest Editor
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
Dr. Changjia Li

E-Mail Website
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
Dr. Zhihui Wang

E-Mail Website
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, titled "Applications of Remote Sensing and GISs in River Basin Ecosystems", 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, analyzing hydrological processes, and modeling ecosystem dynamics.

Its purpose 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

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Water is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

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

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue polices can be found here.

Published Papers (2 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

30 pages, 57537 KiB  
Article
Monitoring and Analysis of the Driving Forces Behind Ecological and Environmental Quality at the County Scale Based on Remote Sensing Data
by Naifeng Zhang, Honglei Ren, Jiankang Geng, Minglei Guo, Ming Shi and Fei Lin
Water 2025, 17(1), 19; https://doi.org/10.3390/w17010019 - 25 Dec 2024
Viewed by 431
Abstract
Chaohu Lake, as an important freshwater lake in China, mainly relies on surface runoff for water replenishment, and the environmental quality of the surrounding towns directly impacts the environment of Chaohu Lake. Given the characteristics of rich water resources and extensive river networks [...] Read more.
Chaohu Lake, as an important freshwater lake in China, mainly relies on surface runoff for water replenishment, and the environmental quality of the surrounding towns directly impacts the environment of Chaohu Lake. Given the characteristics of rich water resources and extensive river networks in the lake area, this paper utilizes the GEE platform and selects Landsat data from 1992 to 2022, taking Feidong County, one of the lake’s inlets, as the study area. We used the water benefit-based ecological index (WBEI) to monitor and evaluate the ecological quality of the study area and employ the Sen+MK trend analysis method to analyze the spatial-temporal characteristics of ecological quality changes. To explore the driving forces behind the spatial-temporal changes in the WBEI, this study selects land use type, elevation, slope, aspect, potential evapotranspiration, annual average precipitation, annual average temperature, and five characteristic factors used in the construction of the WBEI as influencing factors. Using the geo-detector method, the study analyzes the driving forces behind the spatial-temporal changes in the WBEI in the study area. Results show that the WBEI, considering water efficiency, integrates waterbody information into regional environmental quality assessments, comprehensively reflecting the ecological environment of lakeside cities. From 1992 to 2022, the WBEI of the study region shows an increasing trend, with an improved area accounting for 1110.42 km2, or 51.21% of the total area. Among these, the significantly improved area covers 372.9789 km2 or 17.2% of the total area, while the slightly improved area covers 737.4411 km2, corresponding to 34.01% of the total area. Interaction types of influencing factors include bivariate enhancement and nonlinear enhancement, with the primary interactive factors affecting the ecological environment quality change in Feidong County being CLCD∩RVI; changes in land use and vegetation cover are the main driving forces behind the changes in ecological and environmental quality in Feidong County. From 1992 to 2022, the main land type transformations in the study area were from arable land to other land types, with a significant conversion of arable land to construction land, which is the main reason for the degradation of local ecological and environmental quality. The results of this study can provide practical references and theoretical support for ecological environment assessment, governance, and improvement in areas with abundant water resources. Full article
(This article belongs to the Special Issue Applications of Remote Sensing and GISs in River Basin Ecosystems)
►▼ Show Figures

Figure 1

23 pages, 13559 KiB  
Article
Maximum Entropy Method for Wind Farm Site Selection: Implications for River Basin Ecosystems Under Climate Change
by Muge Unal, Ahmet Cilek and Senem Tekin
Water 2024, 16(24), 3679; https://doi.org/10.3390/w16243679 - 20 Dec 2024
Viewed by 627
Abstract
As the global shift from fossil fuels to the Paris Agreement has accelerated, wind energy has become a key alternative to hydroelectric power. However, existing research often needs to improve in integrating diverse environmental, economic, and climate-related variables when modeling wind energy potential, [...] Read more.
As the global shift from fossil fuels to the Paris Agreement has accelerated, wind energy has become a key alternative to hydroelectric power. However, existing research often needs to improve in integrating diverse environmental, economic, and climate-related variables when modeling wind energy potential, particularly under future climate change scenarios. Addressing these gaps, this study employs the maximum entropy (MaxEnt) method, a robust and innovative tool for spatial modeling, to identify optimal wind farm sites in Türkiye. This research advances site selection methodologies and enhances predictive accuracy by leveraging a comprehensive dataset and incorporating climate change scenarios. The results indicate that 89% of the current licensed projects will maintain compliance in the future, while 8% will see a decrease in compliance. Furthermore, the wind energy potential in Türkiye is expected to increase because of climate change. These results confirm the suitability of existing project locations and identify new high-potential areas for sustainable wind energy development. This study provides policymakers, investors, and developers actionable insights to optimize wind energy integration into the national energy portfolio, supporting global climate goals by accelerating the adoption of renewable energy sources. Full article
(This article belongs to the Special Issue Applications of Remote Sensing and GISs in River Basin Ecosystems)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-2
Back to TopTop