Remote Sensing of Soil Moisture and the Dynamics of Soil–Vegetation Systems
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing in Agriculture and Vegetation".
Deadline for manuscript submissions: 15 April 2025 | Viewed by 9775
Special Issue Editors
Interests: hydrology; ecohydrology; water resource management; geomorphology; remote sensing
Special Issues, Collections and Topics in MDPI journals
2. Faculty of Science, University of Technology Sydney, Sydney, NSW 2007, Australia
Interests: remote sensing applied to hydrology; evapotranspiration; soil moisture
Interests: evapotranspiration; crop; precision agriculture; environment surface hydrology; soil and water conservation; remote sensing; landsat; climatology; hydrology
Special Issue Information
Dear Colleagues,
Soil moisture is a crucial factor influencing the water cycle and vegetation dynamics, especially in arid and semiarid ecosystems and rainfed crops, where hydric conditions determine much of the vegetation growth. The monitoring of this variable is key to understanding vegetation productivity and phenology, the impacts of climatic variability on vegetation and carbon uptake, among others. During the last several decades, significant progress has been made in estimating water availability for vegetation. Microwave bands can retrieve soil water content, while other methods that use thermal and/or reflectance data are more associated to evapotranspiration or vegetation condition. Despite these significant advances, it is still necessary to understand processes at different spatial and temporal scales that determine the vegetation water condition and dynamics. In this sense, although geostationary satellites have mostly been used in the past for meteorological studies, they have the capability to make significant contributions to soil–vegetation system monitoring.
This Special Issue aims to publish studies covering different uses of remote sensing data, not only for the estimation of soil moisture but also exploring how this variable determines the dynamics of vegetation. Topics may include anything from the estimation of vegetation productivity in agricultural lands to more comprehensive aims and scales. Thus, multisource data integration (e.g., multispectral, thermal and microwave), multiscale approaches, among other issues, are welcome. We also welcome the submission of manuscripts that investigate the developments and applications of data products from geostationary satellites and their potential combined use with polar orbiting ones and other types of sensors for advanced monitoring processes of the soil–vegetation interface.
Articles may address, but are not limited to, the following topics:
- Spatial monitoring of soil moisture in soil profile;
- Multispectral water vegetation indices;
- Polar and geostationary satellites combination for assessing vegetation dynamics and phenology;
- Impact of soil moisture in vegetation productivity;
- Multisensor data fusion techniques for vegetation water deficit assessment;
- Tracking long- and short-term trends in soil moisture and vegetation response;
- Exploring the interactions between vegetation and climatic-hydrological forcings.
Dr. Ankur Srivastava
Dr. Mauro Ezequiel Holzman
Dr. Facundo Carmona
Guest Editors
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 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 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
- vegetation water stress
- surface and sub-surface soil moisture
- solar-thermal spectra
- evapotranspiration
- arid and semi-arid ecosystems
- vegetation productivity
- water deficit in agricultural lands
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