Special Issue "Earth Observation for Ecosystems Monitoring in Space and Time"


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

Deadline for manuscript submissions: 31 August 2014

Special Issue Editor

Guest Editor
Dr. Duccio Rocchini
GIS and Remote Sensing Unit, Department of Biodiversity and Molecular Ecology, Research and Innovation Centre, Fondazione Edmund Mach, Via Mach 1, 38010 San Michele all'Adige (TN), Italy
Website: http://gis.fem-environment.eu/rocchini/
E-Mail: ducciorocchini@gmail.com
Phone: +39 0461615570
Fax: +39 3491425786
Interests: ecological Informatics; ecological heterogeneity and biodiversity estimate by satellite imagery; Free and Open Source Software for spatial ecology; statistical analysis of spatial and ecological data

Special Issue Information

Dear Colleagues,

The State of the Art

Nowadays, a number of different sensors are available for studying ecosystems from space. Further, ecological theory has been applied to remote sensing data to monitor species dispersal and diversity over space and time. Ecosystem-based models have also been developed to monitor, at a high temporal resolution, Earth surface changes over large areas. The need for high temporal resolution for studying global and local changes needs utilizing techniques other than field-based monitoring. Consequently, remote sensing is critical for ecosystems monitoring.

Rationale for the special issue

Remote sensing and ecosystems monitoring challenges include (i) scale issues, (ii) data gathering and analysis, and (iii) software development. This Special Issue encourages discussion concerning innovative techniques/approaches that are based on remote sensing data, which are used for the study of ecosystems at different spatial and temporal scales. Research scientists and other subject matter experts are encouraged to submit innovative and challenging papers that show advances in following topics:

  • Earth Observation systems for ecosystems monitoring
  • New Earth Observation sensors for ecosystems monitoring
  • Derivation of climate variables for ecosystems monitoring in space and time
  • Ecological Informatics
  • Biodiversity estimate by remote sensing
  • Free and Open Source Software for spatial ecology
  • Time series analysis
  • Statistical analysis of spatial and ecological data

Dr. Duccio Rocchini
Guest Editor


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. Papers will be published continuously (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as 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 refereed through a 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 monthly 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 1200 CHF (Swiss Francs).

Published Papers (3 papers)

by , , , , ,  and
Remote Sens. 2014, 6(8), 7732-7761; doi:10.3390/rs6087732
Received: 8 April 2014; in revised form: 30 July 2014 / Accepted: 30 July 2014 / Published: 20 August 2014
Show/Hide Abstract | PDF Full-text (5355 KB)

by , ,  and
Remote Sens. 2014, 6(7), 6163-6182; doi:10.3390/rs6076163
Received: 23 April 2014; in revised form: 30 May 2014 / Accepted: 23 June 2014 / Published: 30 June 2014
Show/Hide Abstract | PDF Full-text (8109 KB) | HTML Full-text | XML Full-text

by ,  and
Remote Sens. 2014, 6(6), 4660-4686; doi:10.3390/rs6064660
Received: 28 March 2014; in revised form: 16 May 2014 / Accepted: 19 May 2014 / Published: 26 May 2014
Show/Hide Abstract | PDF Full-text (461 KB) | HTML Full-text | XML Full-text | Supplementary Files
abstract graphic

Last update: 25 February 2014

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