Remote Sensing and Land Surface Process Models for Permafrost Studies II
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Ecological Remote Sensing".
Deadline for manuscript submissions: closed (31 October 2023) | Viewed by 1257
Special Issue Editors
Interests: permafrost; hydrothermal transfer processes; land surface modeling;land-atmosphere interaction; climate change
Special Issues, Collections and Topics in MDPI journals
Interests: soil thermal regime; vegetation dynamics; biophysical properties of vegetaton; land surface models
Special Issues, Collections and Topics in MDPI journals
Interests: permafrost remote sensing; thermokarst processes; landslides
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Due to the overwhelming support and interest in the previous Special Issue (SI), we are introducing a 2nd edition on “Remote Sensing and Land Surface Process Models for Permafrost Studies” (https://www.mdpi.com/journal/remotesensing/special_issues/land_permafrost). I would like to thank all the authors and co-authors who made contributions to the success of the 1st edition of this SI.
Permafrost is an essential component of the cryosphere and occupies about 25% of the land surface of the Northern Hemisphere. Under global warming and extreme events, extensive degradation of permafrost has been widely observed in recent years, making the frozen carbon vulnerable and more easily emitted as methane and carbon dioxide. The hydrothermal processes are complex due to strong land–atmosphere interactions in the permafrost regions. An improved understanding of the mechanisms that drive changes in the permafrost thermal state and the associated environmental impacts is lacking due to the scarce ground monitoring data in permafrost regions. Remote sensing technology and land surface models have been the effective means of understanding permafrost dynamics and their responses associated with changes in climatic and environmental conditions, as well as land–atmosphere interactions. Combined multi-source data, including remote sensing retrievals, in situ monitoring, and model estimates, provide an opportunity to improve our understanding of processes and mechanisms in the interactions between permafrost, climate, ecological, and hydrological processes.
In order to report and highlight the latest progress and research direction of remote sensing technology and model applications in permafrost regions, and to promote wide communication on the subject, we are looking for more papers on the topic: “Remote Sensing and Land Surface Process Models for Permafrost studies”.
This SI will showcase recent efforts in applying advanced remote sensing technology and land surface models in permafrost research, including the identification of freeze–thaw states, the inversion of soil moisture and ground deformation, the simulation of hydrothermal processes, permafrost change processes, permafrost interaction with the climate, ecology and hydrology, hazard identification and prediction based on remote sensing technology, and land surface process models. This subject involves the multidisciplinary intersection of permafrost, atmospheric, hydrology, and ecological sciences with remote sensing. It fits well with the research scope of this journal.
This SI invites contributions dealing with the remote sensing technology and land surface process model for permafrost change processes and its environmental effects on different spatial and temporal scales, monitoring their dynamics, exploring the mechanisms of the permafrost change process, and improving simulation accuracy based on the integrated use of remotely sensed data and in situ measurements. Review articles are also welcomed. Articles may address, but are not limited to the following topics:
- Basic data in permafrost regions;
- Hydrothermal process;
- Freeze–thaw states;
- Inversion of soil water content;
- Ground deformation;
- Thermokarst processes;
- Improvement of parameterization scheme for permafrost;
- Numerical simulation of permafrost change process;
- Biophysical response of vegetation associated with warming;
- Land–atmosphere interaction;
- Hydro-ecological effects of permafrost;
- Hazard identification and prediction.
Dr. Guojie Hu
Dr. Wenxin Zhang
Dr. Jie Chen
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
- permafrost
- soil moisture/temperature
- numerical simulation
- remote sensing
- climate change
- observation
- environmental effects
- cold regions
