Remote Sensing of Surface Runoff
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Biogeosciences Remote Sensing".
Deadline for manuscript submissions: closed (31 March 2020) | Viewed by 7449
Special Issue Editor
Interests: hydrological observations; tracers for surface hydrology; river velocity estimation; surface travel time estimation; large scale particle image velocimetry; image analysis for hydrological applications; rainfall measurements; time series analysis; long memory models; linear parametric models; multivariate distributions; copula function; hydrological modelling in ungauged basins; rainfall runoff models; GIS terrain analysis; DEM analysis; geomorphological unit hydrograph; flood mapping; design hydrograph
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Special Issue Information
Dear Colleagues,
Surface runoff includes a variety of hydrological processes crucial for understanding and modelling, among others, water resources management, flood formation, and erosion dynamic.
Recent innovation and advancement in sensors, computational power, and monitoring platforms are rewording the meaning of remote sensing that was previously limited to satellite observations. Nowadays, CubeSat systems, drones, radar technology, and image analysis are augmenting the remote sensing perspective and the field of surface runoff observations may greatly benefit from such multidisciplinary approaches.
The aim of this Special Issue is to collect contributions providing innovative surface runoff remote sensing applications at different spatial scales related, but not limited, to:
- Hydrometric observation;
- River velocity measurements;
- Hillslope runoff velocity estimation;
- Soil water content estimation;
- Water stress estimation;
- Floodplain and flood inundation observations.
- Role of vegetation land cover and land use activities
Dr. Salvatore Grimaldi
Guest Editor
Manuscript Submission Information
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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.
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Keywords
- Surface runoff phenomena
- UAV – drones
- Radar devices
- Image analysis algorithms
- Satellite hydrological products
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