Special Issue "Synergy of Optical and Radar Remote Sensing for Environmental Monitoring"

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

Deadline for manuscript submissions: 1 July 2021.

Special Issue Editor

Prof. Dr. Samuel Corgne
Website
Guest Editor
UMR LETG (CNRS), Université Rennes 2, 35000 Rennes, France
Interests: remote sensing; satellite image analysis; environment; water quality; spatial analysis; environmental impact assessment; agriculture; vegetation

Special Issue Information

Dear Colleagues,

Environmental monitoring represents an important task for the scientific community in the framework of the global change that comes with an important degradation of socioecosystems. For a better understanding and monitoring of the environment, scientists, politics, end-users, local managers, etc. need, inter alia, information on different spatial and temporal scales that remote sensing can provide.

The remote sensing community has mainly used optical and, more recently, radar satellite images, as they offer a large range of spatial, spectral, radiometric, and temporal resolutions which are useful for environmental research, focused, for example, on deforestation, land use characterization, ice melting, water management, etc. The synergy of optical and radar remote sensing images for environmental monitoring appears very promising, as they provide different information of the surface (e.g., biophysics variables for optical data and polarimetric variables for SAR data). Nevertheless, and irrespective of the remote sensing community’s research, relatively few studies have combined optical and radar data for environmental purposes.

The reason for this is that scientists usually focus on a domain of remote sensing that best responds to their research issues. Furthermore, the theorical background of optical and radar remote sensing is quite unrelated and necessitates significant involvement. Additionally, evaluation of the synergy of optical and radar for environmental purposes still remains a methodological challenge with no established theoretical formalism. Methods developed for synergy evaluation as data fusion rules, machine and deep learning algorithms, multicriteria analysis, etc. mainly depend on the environmental problems studied.

In this context, this Special Issue presents several studies which evaluate the synergy of radar and optical data for environmental monitoring. It provides, through different applications, indicators and knowledge for a better understanding of the potentialities, limitations, and perspectives of this specific domain of remote sensing for environmental purposes.


Prof. Dr. Samuel Corgne
Guest Editor

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

  • Optical and radar data
  • Environment
  • Synergy
  • Data fusion
  • Machine Learning
  • Spatial analysis

Published Papers

This special issue is now open for submission.
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