Snow Water Equivalent Retrieval Using Remote Sensing
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: 31 July 2025 | Viewed by 253
Special Issue Editors
Interests: microwave remote sensing of snow cover; snow forward modeling; snow depth and snow water equivalent (SWE); machine learning
Interests: microwave emission/scattering modeling of the land surface; passive microwave remote sensing of snow water equivalent and soil moisture; surface freeze/thaw state
Special Issues, Collections and Topics in MDPI journals
Interests: development of remote sensing algorithms of snow and other parameters; application of satellite data in climate change research; development of satellite services
Special Issues, Collections and Topics in MDPI journals
Interests: remote sensing spatiotemporal modeling and analysis; remote sensing of cryosphere; global climate and environmental change
Special Issues, Collections and Topics in MDPI journals
Interests: snow cover; remote sensing; data assimilation; hydrology in cold region
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The snow water equivalent (SWE), a key metric related to water storage in snowpacks, greatly impacts agricultural production, hydropower generation, freshwater supply, and natural disaster management. In particular, microwave remote sensing is an essential tool for monitoring the seasonal SWE due to its independence from solar illumination, the penetrability of clouds, and sensitivity to dry snowpack. Also, the exploitation of more recent sensors such as LiDAR, Altimeter, and GNSS-R satellites enhances the ability of monitoring SWE on a global scale. However, significant biases and high uncertainty in SWE products pose significant challenges.
The aim of this Special Issue is to explore advancements in remote sensing techniques for monitoring seasonal SWE, covering radar (SAR, PolSAR, InSAR, and Scatterometer), microwave radiometers, LiDAR, Altimeter, GNSS-R instruments, etc.
This Special Issue invites innovative methodologies, theoretical models, experimental observations, techniques, and applications on monitoring and modeling SWE. Submissions are encouraged to cover a broad range of topics, which may include, but are not limited to, the following activities:
- Microwave simulation of emission or backscattering from snow-covered surfaces;
- Development and validation of algorithms for retrieving SWE;
- Estimating high-resolution SWE by downscaling or data fusion;
- Data assimilation methods for improving SWE retrievals;
- Investigation of spatiotemporal variability of snow cover;
- Studying the interactions of climate change and snowpacks;
- Experimental campaigns in the field of microwave remote sensing.
Dr. Jianwei Yang
Prof. Dr. Lingmei Jiang
Dr. Matias Takala
Dr. Yan Huang
Prof. Dr. Tao Che
Guest Editors
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.
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
- microwave remote sensing
- snow water equivalent (SWE)
- snow depth
- SWE retrieving algorithm
- snow forward modeling
- field campaigns in cryosphere
- spatiotemporal variability
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