Remote Sensing in Natural Resource and Water Environment II
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Environmental Remote Sensing".
Deadline for manuscript submissions: 30 November 2024 | Viewed by 18219
Special Issue Editors
Interests: urban flood; flood management; hydrological modeling; water quality analysis; statistical analysis; sustainable water resource management; ecohydrology
Special Issues, Collections and Topics in MDPI journals
2. School of Water and Environment, Chang’an University, Xi'an 710064, China
Interests: water disaster management; ecological environment protection; water pollution simulation; water environment protection
Special Issues, Collections and Topics in MDPI journals
Interests: appropriate agricultural water and nutrient management for improving crop productivity; water use efficiency; reducing non-point-source pollution
Special Issues, Collections and Topics in MDPI journals
Interests: groundwater; water resources; hydrological simulation
Interests: climate change impact and adaptation in water resources; modelling of hydrologic extremes; watershed modelling for sustainable water resource development
Special Issues, Collections and Topics in MDPI journals
Interests: watered hydrology; process-based distributed hydrological modeling; climate change
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The second volume of “Remote Sensing in Natural Resource and Water Environment” aims to continue addressing the challenges faced by natural resources and water environments due to human-generated pollutants. The growing population and increasing risk of pollution have made effective water resource management more important than ever before. To ensure sustainable development, it is crucial to monitor environmental parameters, evaluate the quality of the environment, and predict the dynamics of environmental elements accurately. Remote sensing technology provides a new perspective on hydrological monitoring, water resource ecological protection, and water resource planning and utilization due to its fast detection capacity, wide spatial coverage, and multiple spectral characteristics.
This Special Issue seeks to publish innovative research that utilizes remote sensing techniques in the field of hydrological and water pollution. Specifically, this volume aims to highlight recent advances in the application of remote sensing technology in identifying and monitoring water quality concerns, such as algal blooms, sedimentation, and eutrophication. Additionally, the Issue will use remote sensing techniques to analyze the impacts of climate change on water resources and assess the effectiveness of various remediation methods.
The objective of this Special Issue is to promote sustainable development by utilizing relevant methods of hydrological and water resource planning and management. Authors are encouraged to submit novel methods and views that utilize remote sensing technologies. Potential topics include, but are not limited to, remote sensing inversion simulation, experience method, and sustainable development, to address the current challenges facing natural resources and water environments.
Prof. Dr. Pingping Luo
Dr. Jiqiang Lyu
Dr. Chunying Wang
Dr. Min Wu
Prof. Dr. Van-Thanh-Van Nguyen
Dr. Pedro Luiz Borges Chaffe
Guest Editors
Manuscript Submission Information
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Keywords
- hyperspectral remote sensing in the environment
- retrieving air pollutant concentrations through remote sensing
- machine learning algorithms for modeling based on remote sensing data
- ecological indicators mapping by remote sensing
- urban stormwater models
- hydrologic models
- flood disaster
- water pollution
- wastewater treatment
- water resource management
- urban-rural management
- urban planning
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Related Special Issue
- Remote Sensing in Natural Resource and Water Environment in Remote Sensing (32 articles)