Microwave Remote Sensing of Soil Moisture
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing in Geology, Geomorphology and Hydrology".
Deadline for manuscript submissions: closed (30 April 2023) | Viewed by 32843
Special Issue Editors
Interests: remote sensing; soil moisture; hydrology; radar and radiometry; water cycle; climate change
Special Issues, Collections and Topics in MDPI journals
Interests: quantitative retrieval of land surface parameters from remote sensing data; radiative transfer in soil–vegetation–atmosphere systems; process-based modeling and data-driven methods; hydroclimatic extremes
Special Issues, Collections and Topics in MDPI journals
Interests: mountain water and heat exchange; soil moisture estimation and downscaling; mountain climate change
Special Issues, Collections and Topics in MDPI journals
Interests: remote sensing; soil moisture; ecohydrology; precision agriculture; uncertainty quantification
Special Issues, Collections and Topics in MDPI journals
Interests: microwave/optical remote sensing; soil moisture; vegetation water/biomass; L-MEB; PROSAIL; hydro-ecological applications
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Soil moisture is well recognized as a pivotal parameter to link the water, energy, and carbon cycles. Active and passive microwave remote sensing has been well-recognized as the most promising means to infer soil moisture spatially and temporally. Active microwave remote sensing, particularly the synthetic aperture radar (SAR), has a much finer spatial resolution than passive sensors but suffers more from geometrical features of the scene (e.g., surface roughness, vegetation, and topography). Passive microwave remote sensing has higher sensitivity to soil moisture than active radar but is limited by its coarse spatial resolution. Moreover, active and passive microwave signals respond differently to soil and vegetation parameters and thus can provide complementary information for each other.
Over the past several decades, great progress has been made in microwave remote sensing of soil moisture. Several field or aircraft experiments (e.g., SGP, SMEX, HiWATER, SMAPEx1-5, and SMAPVEX) have been organized to support the assessment and refinement of active and passive microwave soil moisture retrieval algorithms. At the same time, a number of microwave spaceborne satellites/sensors have been successfully launched to provide valuable opportunities to obtain soil moisture with various spatial scales from meters to tens of kilometers. These include the passive microwave instruments, such as the multi-frequency AMSR-E/2 (2002-), FY-3 MWRI (2008-), L-band SMOS (2009-), and SMAP (2015-), as well as the active microwave instruments, such as the scatterometer-based Metop/ASCAT series (2006-), monostatic ALOS-2 (2014-), Sentinel-1 (2014-), and Gaofen-3 (2016-), bistatic CYGNSS (2016-), and the P-band Biomass (planned launch in 2023). All of these open a wide range of possibilities to estimate soil moisture at regional and global scales. In this context, this Special Issue aims to present the most advanced theories, models, algorithms, and products related to microwave remote sensing of soil moisture.
The topics of the Special Issue include, but are not limited to, the following:
- Review on microwave remote sensing of soil moisture;
- Introduction to field or aircraft experiments and future satellite missions for soil moisture;
- Evaluation or comparison of remotely sensed soil moisture products using in situ measurements, model simulations, or other mathematical approaches (e.g., TCA, TCH, IVd, etc.);
- Development, calibration, or validation of the theoretical or semi-empirical forward models (e.g., microwave scattering model and radiative transfer model) used for soil moisture retrieval;
- Development, improvement, or comparison of remotely sensed soil moisture retrieval algorithms;
- Development, improvement, or comparison of spatial downscaling/upscaling methods and spatiotemporal fusion techniques of remotely sensed soil moisture;
- Application of remotely sensed soil moisture products in data assimilation, agriculture, ecology, hydrology, and other fields.
Dr. Jiangyuan Zeng
Prof. Dr. Jian Peng
Dr. Wei Zhao
Dr. Chunfeng Ma
Dr. Hongliang Ma
Guest Editors
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Keywords
- soil moisture
- active microwave remote sensing
- passive microwave remote sensing
- product validation and error analysis
- retrieval algorithms
- downscaling/upscaling methods
- spatiotemporal fusion techniques
- GNSS-R
- data assimilation
- eco-hydrological applications
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Related Special Issue
- Microwave Remote Sensing of Soil Moisture II in Remote Sensing (2 articles)