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Special Issue "Remote Sensing in Ecosystem Modelling"

A special issue of Remote Sensing (ISSN 2072-4292).

Deadline for manuscript submissions: 30 September 2020

Special Issue Editors

Guest Editor
Dr. Ioannis Manakos

Centre for Research and Technology Hellas, Information Technologies Institute, Hellas 6th km Harilaou-Thermi, 57001 Thessaloniki, Greece
Website | E-Mail
Interests: remote sensing; ecosystem services; physical models; habitat monitoring; uncertainty handling
Guest Editor
Prof. Duccio Rocchini

Center Agriculture Food Environment, University of Trento, Via E. Mach 1, 38010 S. Michele all'Adige (TN), Italy
Centre for Integrative Biology, University of Trento, Via Sommarive, 14, 38123 Povo (TN), Italy
Department of Biodiversity and Molecular Ecology, Fondazione Edmund Mach, Research and Innovation Centre, Via E. Mach 1, 38010 S. Michele all'Adige (TN), Italy
Website | E-Mail
Interests: biodiversity estimate; ecological informatics; remote sensing; species distribution modelling
Guest Editor
Prof. Giorgos Mountrakis

Department of Environmental Resources Engineering, State University of New York, College of Environmental Science and Forestry, 1 Forestry Drive, Syracuse, NY 13210, United States
Website | E-Mail
Interests: remote sensing; land dynamics; spatial analytics; environmental modelling

Special Issue Information

Dear Colleagues,

Ecosystem models are fundamental for a deeper understanding of associated spatiotemporal dynamics. They also support the forecasting of ecological responses to future climate and land use changes, thus supporting relevant decision-making processes. Ecosystem modelling is challenging, given the complexity of natural ecosystems, since models need to consider several levels of environmental predictors and interplaying mechanistic processes.

Earth observation (EO) data and methods serve as a cost-efficient alternative to in-situ data collection at numerous spatial and temporal scales. EO data are now an essential competent in ecological modelling. For example, EO data are used to (i) provide variable estimation to implement ecological models; (ii) test, validate and verify the predictions of ecological models; and (iii) update or adjust process model predictions. These modelling and implementation challenges are investigated by several international projects and initiatives, including the ECOPOTENTIAL H2020 flagship project in Europe and the GEO Global Ecosystem Initiative. Motivated by the strong integration and new capabilities, this Special Issue is inviting manuscripts on the following topics:

- direct comparisons of EO with in-situ data;

- assessment of the added value of EO to ecosystem models;

- interoperability topics, for example spatial and temporal scale issues, derived from the incorporation of EO in ecosystem models;

- uncertainty propagation of EO-derived inputs in ecosystem models;

- benefits by the EO assimilation and side-effects in the designed processing chains;

- adjustments in ecosystem models to better integrate EO inputs;

- the new capacity being developed and explored by the installation and operation of the Data and Information Access Services (DIASs).

The team of Special Issue editors acknowledges the support of the Remote Sensing journal in promoting this discussion and will be at your disposal.

Dr. Ioannis Manakos
Prof. Duccio Rocchini
Prof. Giorgos Mountrakis
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 1800 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.


  • Remote sensing
  • data interoperability
  • ecosystem modeling
  • uncertainty handling
  • cross-scale
  • co-design
  • processes standardization
  • open access

Published Papers

This special issue is now open for submission.
Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
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