Special Issue "Advances in Remote Sensing of Wildland Fires"

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

Deadline for manuscript submissions: closed (30 September 2011)

Special Issue Editor

Guest Editor
Dr. Ioannis Gitas
Laboratory of Forest Management and Remote Sensing, School of Forestry and Natural Environment, Aristotle University of Thessaloniki, Thessaloniki, Greece
Website: http://fmrs.web.auth.gr/
E-Mail: igitas@for.auth.gr
Phone: +30 2310 992699
Fax: +30 2310 992677
Interests: forest fires; pre-fire planning and post-fire assessment; land use/land cover mapping; soil erosion risk assessment/desertification; other environmental applications of remote sensing and GIS

Special Issue Information

Dear Colleagues,

To introduce new policies that would reduce fire risk and/or its impacts, it is necessary to have a good understanding of how fire affects the structure and functioning of ecosystems. To achieve these goals a thorough understanding is required of not only the prefire distribution of the specific resource features, conditions and characteristics, but what is also required is the collection of post-fire data (e.g. biomass, burn severity, species regeneration, vegetation-type succession) in order to detect and specify environmental changes and trends.

Assessment and analysis of these changes and trends at the local scale are increasingly considered a critical aspect of ecosystem research, since fire plays a crucial role in vegetation composition, biodiversity, soil erosion, and the hydrological cycle. Also at the global scale, they are believed to be sensitive indicators of the impact of changes in the global environment. Whether these changes are mainly caused by land use change or climate warming, greater efforts are demanded to manage wildland fires at different temporal and spatial scales.

Remotely sensed data are used in all the three phases of a fire management program, namely, pre-fire planning, fire detection and monitoring, and post-fire impact assessment. Since the initiation of the Landsat satellite program, several projects have been conducted to test the potential efficacy and reliability of satellite data in collecting information related to forest fire management. However, during the last decade, the range of applications has increased significantly as a result of the following:

  • an increase in the number of airborne and satellite sensors with different characteristics suitable for studying aspects of fire, some of which have been designed specifically for fire monitoring;
  • improvement of our understanding of the role of fire in ecosystems functioning;
  • progress in computer technology (hardware, software);
  • development of new advanced digital image analysis techniques; and
  • improved access to and availability of satellite data and derived products.

This special issue aims to focus on remote sensing applications that make use of new sensors and/or advanced image analysis techniques in order to provide accurate information related to fire management.

Dr. Ioannis Gitas
Guest Editor

Keywords

  • fuel mapping
  • fire risk
  • fire danger
  • active fire mapping
  • biomass burning
  • burned area mapping
  • burn severity
  • post-fire forest regeneration
  • vegetation succession monitoring

Published Papers (7 papers)

by , , ,  and
Remote Sens. 2012, 4(7), 2112-2132; doi:10.3390/rs4072112
Received: 1 February 2012; in revised form: 4 July 2012 / Accepted: 5 July 2012 / Published: 13 July 2012
Show/Hide Abstract | Cited by 1 | PDF Full-text (950 KB) | HTML Full-text | XML Full-text
abstract graphic

by ,  and
Remote Sens. 2012, 4(3), 598-621; doi:10.3390/rs4030598
Received: 31 January 2012; in revised form: 29 February 2012 / Accepted: 29 February 2012 / Published: 2 March 2012
Show/Hide Abstract | Cited by 3 | PDF Full-text (1164 KB) | HTML Full-text | XML Full-text

by  and
Remote Sens. 2012, 4(2), 456-483; doi:10.3390/rs4020456
Received: 10 January 2012; in revised form: 1 February 2012 / Accepted: 1 February 2012 / Published: 9 February 2012
Show/Hide Abstract | Cited by 8 | PDF Full-text (2125 KB) | HTML Full-text | XML Full-text

by  and
Remote Sens. 2012, 4(2), 424-438; doi:10.3390/rs4020424
Received: 6 December 2011; in revised form: 17 January 2012 / Accepted: 21 January 2012 / Published: 3 February 2012
Show/Hide Abstract | Cited by 10 | PDF Full-text (1114 KB) | HTML Full-text | XML Full-text
abstract graphic

by ,  and
Remote Sens. 2011, 3(11), 2403-2419; doi:10.3390/rs3112403
Received: 20 September 2011; in revised form: 18 October 2011 / Accepted: 18 October 2011 / Published: 11 November 2011
Show/Hide Abstract | Cited by 3 | PDF Full-text (1021 KB)

by , ,  and
Remote Sens. 2011, 3(9), 2005-2028; doi:10.3390/rs3092005
Received: 20 July 2011; in revised form: 20 August 2011 / Accepted: 29 August 2011 / Published: 7 September 2011
Show/Hide Abstract | Cited by 2 | PDF Full-text (580 KB)

by  and
Remote Sens. 2011, 3(8), 1680-1690; doi:10.3390/rs3081680
Received: 29 June 2011; in revised form: 5 August 2011 / Accepted: 9 August 2011 / Published: 15 August 2011
Show/Hide Abstract | Cited by 1 | PDF Full-text (400 KB)

Last update: 4 March 2014

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