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Remotely Sensed in National Land Cover Mapping and Monitoring

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing Image Processing".

Deadline for manuscript submissions: closed (30 June 2022) | Viewed by 624

Special Issue Editors


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Guest Editor
Spatial Informatics Group, LLC, 2529 Yolanda Ct., Pleasanton, CA 94566, USA
Interests: cloud and aerosol physics; satellite meteorology; climate change; gravitational and high energy physics; rainfall estimates
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Asian Disaster Preparedness Center, SM Tower, 24th Floor, 979/69 Paholyothin Road, Samsen Nai, Phayathai, Bangkok 10400, Thailand
Interests: agriculture; food security; land cover monitoring

Special Issue Information

Dear Colleagues,

Land cover change is a significant contributor to environmental change. Land cover data provide vital information to resource managers for the planning and decision-making processes by enabling them to better understand both the current and past landscape reality. It is a fact that the land cover dataset is highly useful for national and international reporting. However, in the past, different national agencies have conducted land cover mapping using different methodologies and datasets. Sometimes, even a time-consuming manual digitization process has been used. These disparate land cover datasets are not suitable to analyze the changes over time due to different classification schema, methodology, and input datasets used to generate the land cover products. Therefore, these countries are now working on harmonized and standardized robust land cover mapping and monitoring systems for operational use at the national, state, and transboundary scales.

We invite authors addressing land cover environmental issues at the national scale to participate in this exceptional edition of “Remotely Sensed in National Land Cover Mapping and Monitoring”, a Special Issue for the journal Remote Sensing.

Prof. Dr. Farrukh Chishtie
Dr. Rishiraj Dutta
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

  • satellite image classification
  • land cover mapping
  • land cover change detection
  • remote sensing application in REDD MRV process
  • land cover mapping for the Environmental–Economic Accounting (SEEA)
  • land cover mapping for the SDG goal
  • land cover mapping for the erosion and sedimentation assessment
  • land use and land cover (LULC)
  • satellite image (Landsat, Sentinel)
  • GIS

Published Papers

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