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Remote Sensing Monitoring of Snow and Vegetation in Alpine Regions

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: closed (20 February 2024) | Viewed by 248

Special Issue Editors


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Guest Editor
Geographisches Institut Heidelberg, Heidelberg University, 69117 Heidelberg, Germany
Interests: sar; snow cover; glacier monitoring with optical and sar images; natural disasters; polarimetric decomposition; radar scattering mechanisms

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Guest Editor
Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Interests: plant phenology; climate change ecology; vegetation remote sensing; alpine ecosystem
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Snow cover and permafrost are important components of the cryosphere, and they play an important role in the climate system as forcing factors of the underlying land surface, affecting surface energy balance and water exchange. Vegetation is also an important part of the global terrestrial ecosystem and both of them can affect the climate system. Due to the influence of climate and topography in alpine regions, vegetation coverage and snow cover are undergoing different changes. It is essential to monitor these responses as they have affected energy, water and biogeochemical cycling in the region, which will ultimately affect human beings. Remote sensing has offered advanced technologies and methodologies to observe and monitor dynamic changes on different scales. Based on the date obtained from various active and passive sensors on ground-, airborne- and satellite-based platforms, scientists can better understand and quantify the dynamic changes in ecosystems and provide necessary information for decision makers to formulate policies.

This Special Issue provides a platform for researchers to publish their studies and present innovative and cutting-edge research results with regard to the monitoring of snow and vegetation in alpine regions .

In this Special Issue, we welcome manuscripts in all aspects regarding remote sensing in the dynamic monitoring of vegetation and snow in alpine regions from multi-scale platforms. Studies that introduce the development of monitoring techniques or highlight the challenges of remote sensing in alpine regions are also encouraged.

Dr. Arnab Muhuri
Prof. Dr. Miaogen Shen
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

  • alpine regions
  • snow cover
  • climate change
  • vegetation dynamics
  • vegetation monitoring

Published Papers

There is no accepted submissions to this special issue at this moment.
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