Special Issue "Application of MODIS Data for Environmental Research"

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 2021.

Special Issue Editors

Dr. Shaktiman Singh
Website SciProfiles
Guest Editor
School of Geosciences, University of Aberdeen, Aberdeen AB24 3FX, United Kingdom
Interests: glaciology; hydrology; remote sensing; climate change
Special Issues and Collections in MDPI journals
Dr. Anshuman Bhardwaj
Website
Guest Editor
School of Geosciences, University of Aberdeen, Aberdeen AB24 3FX, United Kingdom
Interests: remote sensing; glaciology; environmental monitoring; land cover changes; planetary science; cryosphere
Special Issues and Collections in MDPI journals
Dr. Lydia Sam
Website
Guest Editor
School of Geosciences, University of Aberdeen, Aberdeen AB24 3FX, United Kingdom
Interests: remote sensing; glaciology; cryosphere; physical geography; terrain modelling; land cover changes
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

The open access Moderate Resolution Imaging Spectroradiometer (MODIS) on-board the Terra (available from February 2020) and Aqua (available from July 2002) satellites provide environmental observations like land-surface temperature (both day and night), snow cover, aerosol, total precipitable water, vegetation index, evapotranspiration, and water masks at a high temporal scale. The science team of MODIS has been continuously working to update the algorithms in order to provide improved estimates for each product.

The unavailability of reliable observations with spatial continuity in remote areas with extreme weather conditions and difficult terrains hampers our understanding of the environmental changes. The data products derived from remote observations of MODIS are critical for environmental research in inaccessible areas because of their spatiotemporal continuity. In addition, as a result of computational easiness, there has been significant development in terms of different methods regarding the use of MODIS datasets in environmental analysis. Parallel to that, various algorithms for the estimation of the accuracy and for filling in data gaps caused by cloud cover have also been developed. Regardless of the extensive use of the MODIS datasets, there are still several research areas in which they can be applied for better results and understanding in several environmental science disciplines, such as climatology, glaciology, hydrology, geology, and palaeosciences.

Through this Special Issue, we invite contributions from researchers working in the field of environmental sciences using any MODIS dataset or product. The contribution can be related to (but not restricted to) the following:

  • advancement in the use of MODIS data in environmental science;
  • data fusion with other satellite products;
  • development of algorithms for accuracy assessment and filling in data gaps;
  • comparison with station-based observations;
  • reconstruction using geophysical model;
  • assessment of long-term environmental changes;
  • prediction of future changes.

Dr. Shaktiman Singh
Dr. Anshuman Bhardwaj
Dr. Lydia Sam
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 papers will be 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 2200 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

  • MODIS
  • environment
  • land cover changes
  • snow
  • glacier
  • permafrost
  • modelling
  • remote sensing

Published Papers

This special issue is now open for submission.
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