Advances in Remote Sensing of Watershed Ecology and Pollution
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainability in Geographic Science".
Deadline for manuscript submissions: closed (31 March 2023) | Viewed by 6832
Special Issue Editors
Interests: watershed remote sensing; wetland/water remote sensing; watershed big data; information watershed
Interests: remote sensing; polarization; water extraction; water resource
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
It is believed that watersheds are the best natural division unit for water-related ecological research, the management of water resources and the ecological environment, and the quality of ecological conditions and the severity of pollution, which are important aspects affecting the sustainability of watersheds. Moreover, research on watershed ecology, watershed environmental science and watershed geography mainly on watersheds. Remote sensing technology has increasingly become an important means of watershed ecology and pollution investigation and monitoring. Watershed ecology and pollution remote sensing has become an important aspect of watershed remote sensing science. For watershed ecology and pollution, a series of remote sensing studies on different types of watersheds around the underlying surface, element composition, the model, data source and temporal and spatial scales have important application value for problem discovery and management in the field of watershed sustainability.
In this Special Issue, original research articles and reviews are welcome. The topics of primary interest include, but are not limited to:
- Different underlying surfaces: Remote sensing of ecology or pollution in land area, water, wetland, construction land, industrial land, living land, agricultural land, grassland, forest land, etc.;
- Different elements: Remote sensing of ecological or pollution indicators of vegetation, biodiversity, landscape ecology, land cover/use, non-point source pollution, point source pollution, aquatic organisms, water physics, water chemistry, etc.;
- Different methods: Empirical statistical models, machine learning models or physical mechanism models for remote sensing quantification of watershed ecological or pollution indicators;
- Different remote sensing data sources: Satellite, aviation, Unmanned Aerial Vehicles (UAV), optics, microwave or lidar, used for the remote sensing of watershed ecology or pollution;
- Different watershed types: Remote sensing of ecology or pollution in lake watersheds, river watersheds or reservoir watersheds;
- Different scales: Remote sensing of watershed ecology or pollution at different spatial scales such as small watersheds, medium watersheds or large watersheds, and at different time scales, such as specific time, monthly or interannual changes;
- Different cases: Research on remote sensing methods, data products, and the application analysis of watershed ecology or pollution.
All manuscripts should focus on watershed ecology or pollution, remote sensing and sustainability. The relationship between the research theme and sustainability should be discussed in the introduction or discussion of the manuscript.
Prof. Dr. Yongnian Gao
Prof. Dr. Taixia Wu
Guest Editors
Manuscript Submission Information
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Keywords
- vegetation/landscape
- water quality
- non-point source pollution
- wetland/water resource
- watershed
- machine learning
- remote sensing
- SDGs
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