Journal Menu► ▼ Journal Menu
Journal Browser► ▼ Journal Browser
Special Issue "Remote Sensing of Regional Soil Moisture"
A special issue of Remote Sensing (ISSN 2072-4292).
Deadline for manuscript submissions: 31 December 2019.
Dr. Marion Pause Website E-Mail
Institute of Photogrammetry and Remote Sensing, Faculty of Environmental Science, Technical University of Dresden, 01062 Dresden, Germany
Interests: multi-sensor remote sensing; soil moisture remote sensing; environmental monitoring; in-situ/remote sensing integration; remote sensing higher education
Dr. Thomas Wöhling Website E-Mail
Institute of Hydrology and Meteorology, Faculty of Environmental Science, Technical University of Dresden, 01062 Dresden, Germany
Interests: hydrological modelling; evaluation and optimisation of monitoring networks; inverse modelling; model calibration
Prof. Dr. Karsten Schulz Website E-Mail
Institute of Water Management, Hydrology and Hydraulic Engineering (IWHW), University of Natural Resources and Life Sciences, Vienna (BOKU), Muthgasse 18 1190 Vienna, Austria
Interests: catchment hydrology; remote sensing; uncertainty estimation; soil-plant-atmosphere interactions; hydrological modelling
Land surface soil moisture conditions play a key role in controlling the water and energy cycle at the land surface. Soil moisture conditions strongly influence the partitioning of precipitation into surface runoff, infiltration and evapotranspiration and allows the partitioning of net radiation into ground, sensible, and latent heat fluxes. The availability of water also controls plant photosynthesis and thereby agricultural productivity, as well as carbon exchange processes between the land surface and the atmosphere. Therefore, soil moisture monitoring is important to obtain reliable information about the spatial distribution and temporal dynamics of land surface water content.
The demand for soil moisture observations to run hydrological simulation models and assess regional water scarcity is increasing at the regional management scale.
About 20 years of experience from remote sensing based research for soil moisture retrieval is available and recent advances in data science and web services path the way for innovations. Novel developments on in-situ sensor technologies and terrestrial monitoring networks provide an essential point-based component for satellite based product validation. In turn, this may be fundamental for innovations of satellite remote sensing based soil moisture retrieval approaches.
The aim of this Special Issue is to present novel approaches, case studies and review discussions of remote sensing based surface soil moisture retrieval at or transferable to the regional scale.
Contributions combining multi-sensor remote sensing observations, in-situ measurements and geographical data from multiple thematic scales to quantify spatial and temporal change pattern are also among our priorities.
Contributions include, but are not limited to, the following:
- Advances in remote sensing techniques to provide (time series of) spatially distributed soil moisture data
- Recently available and near future satellite data products
- Airborne cal/val experiments to present future potential innovations
- Case studies at regional scale
- Approaches for remote sensing/in-situ observation integration
- Studies using data assimilation, e.g., into hydrological models, plant growth models or discussing concepts
Dr. Marion Pause
Dr. Thomas Wöhling
Prof. Dr. Karsten Schulz
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 papers will be 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. 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 1800 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.
- Remote sensing
- Soil moisture
- Hydrological modelling
- Water scarcity
- Regional scale
- Microwave remote sensing
- Optical remote sensing
- Thermal remote sensing
- Multi-sensor approach
- Environmental monitoring