Remote Sensing Modelling and Measuring Snow Cover and Snow Albedo
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Atmospheric Remote Sensing".
Deadline for manuscript submissions: 31 July 2026 | Viewed by 1797
Special Issue Editors
Interests: snow albedo; light-absorbing particles; radiative transfer
Interests: modeling light propagation and scattering in terrestrial atmosphere and surface, including ice and snow
Special Issues, Collections and Topics in MDPI journals
Interests: snow cover mapping; snowline; snow phenology; snow albedo
Interests: remote sensing; imaging science; photographic technology; geology; environmental sciences; ecology engineering
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Snow and ice cover, which are key components of the cryosphere, are crucial for regulating Earth’s energy balance due to their high albedo. Their high reflectivity causes a significant portion of incoming solar radiation to be reflected back into space, contributing to cooler global temperatures. Crucially, even small changes in snow and ice albedo can significantly impact the climate system, accelerating melting, raising sea levels, and initiating complex feedback loops. Therefore, understanding and accurately monitoring the factors controlling snow and ice albedo variations are paramount for climate research and prediction.
This Remote Sensing Special Issue seeks to compile cutting-edge research advancements in remote sensing regarding snow cover, snow albedo, and their influencing factors (e.g., light-absorbing particles). Aligned with the journal’s scope, encompassing the application of remote sensing technologies to understand cryospheric processes and land surface–atmosphere interactions, this issue will facilitate interdisciplinary collaboration, contributing to enhanced predictive capabilities in climate change studies and improving our ability to monitor and model these critical cryospheric parameters.
We invite submissions covering a range of relevant themes, including, but not limited to, the following:
- Novel remote sensing techniques and algorithms for detecting snow cover and retrieving snow albedo.
- Analysis of the spatial and temporal variability of snow cover and snow albedo from local to global scales.
- The influence of surface characteristics (e.g., grain size, snow morphology) on albedo.
- The impact of light-absorbing particles (LAPs), such as black carbon and dust, on snow and ice albedo reduction.
- Field campaigns and in situ measurements validating remote sensing albedo products.
Dr. Donghang Shao
Dr. Alexander Kokhanovsky
Prof. Dr. Zhiguang Tang
Dr. Anxin Ding
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 250 words) can be sent to the Editorial Office for assessment.
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
- snow cover
- snow albedo
- light-absorbing particles
- radiative forcing
- Earth radiation budget
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