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Remote Sensing of Floodplain Rivers and Freshwater Ecosystems
This special issue belongs to the section “Remote Sensing in Geology, Geomorphology and Hydrology“.
Special Issue Information
Dear Colleagues,
Tropical floodplain rivers and wetlands are highly valued because of the important ecological, cultural, and economic values and services they provide (e.g., recreation and tourism), including support for a range of terrestrial and aquatic biodiversity. Key challenges with the assessment of these river ecosystems and the productivity of floodplain rivers and freshwater habitats are lack of physical access during times of extreme inundation (or floods) and limitations associated with field observations. However, with several improvements in satellite remote sensing sensors and techniques, there is an increasing interest in the large-scale assessment of these systems with the overarching goal of understanding their response to changes in climate. The of aim this Special Issue is to improve the understanding of how climate variability and extreme events (droughts and floods) impact tropical rivers, freshwater habitats, and wetlands, as well as how river ecosystems respond to other stressors (e.g., human actions like dam construction, land cover change, and water transfer). This Special Issue seeks contributions that employ all kinds of satellite remote sensing data/missions and earth observations to improve this understanding. It particularly invites original research and review papers, including but not limited to the following research topics:
- Floodplain river hydrology; flow alteration and its ecological impacts.
- New methods to predict the spatial distribution of floodplain inundation patterns.
- Remote sensing biophysical indicators and metrics (e.g., vegetation and inundation indices) to improve the assessment of freshwater ecosystems.
- Development of remote sensing frameworks to understand how various human actions and climate variability influence wetland hydrology.
- Assessment of hydrological drivers of floodplain productivity and connectivity.
- Hydrological analysis and statistical modeling of river ecosystems.
- Remote sensing applications in river ecosystem management.
- Impacts of extreme events (e.g., droughts and floods) on river ecosystems and wetlands.
- Modeling impacts of climate change on aquatic habitats and freshwater ecosystems.
Dr. Christopher Ndehedehe
Guest Editor
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 250 words) can be sent to the Editorial Office for assessment.
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. Remote Sensing 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 2700 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
- Floodplain river hydrology
- river ecosystem assessment
- vegetation
- human actions
- climate variability
- wetland
- connectivity
- habitats
- spatial analysis
- biophysical indicators
- extreme events
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