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GeoInformation for Disaster Management Conference

Gi4DM 2018: Intelligent Systems for Crisis Management pp 265–294Cite as

Pre- and Post-Fire Comparison of Forest Areas in 3D

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Part of the book series: Lecture Notes in Geoinformation and Cartography ((LNGC))

Abstract

A satellite processing platform for high resolution forest assessment (FORSAT) was developed. It generates the digital surface models (DSMs) of the forest canopy by advanced processing of the very-high resolution (VHR) optical satellite imagery and automatically matches the pre- and post-fire DSMs for 3D change detection. The FORSAT software system can perform the following tasks: pre-processing, point measurement, orientation, quasi-epipolar image generation, image matching, DSM extraction, orthoimage generation, photogrammetric restitution either in mono-plotting mode or in stereo models, 3D surface matching, co-registration, comparison and change detection. It can thoroughly calculate the planimetric and volumetric changes between the epochs. It supports most of the VHR optical imagery commonly used for civil applications. Capabilities of FORSAT have been tested in two real forest fire cases, where the burned areas are located in Cyprus and Austria. The geometric characteristics of burned forest areas have been identified both in 2D plane and 3D volume dimensions, using pre- and post-fire optical image data from different sensors. The test studies showed that FORSAT is an operational software capable of providing spatial (3D) and temporal (4D) information for monitoring of forest fire areas and sustainable forest management. Beyond the wildfires, it can be used for many other forest information needs.

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Authors and Affiliations

  1. Isik University, Istanbul, Turkey

    Devrim Akca

  2. Aristotle University of Thessaloniki, Thessaloniki, Greece

    Efstratios Stylianidis

  3. 4DiXplorer AG, Zurich, Switzerland

    Daniela Poli

  4. ETH Zurich, Switzerland/4DiXplorer AG, Zurich, Switzerland

    Armin Gruen

  5. Istanbul Technical University/Ekinoks Surveying Software Engineering Ltd, Istanbul, Turkey

    Orhan Altan

  6. GeoVille Information Systems GmbH, Innsbruck, Austria

    Martin Hofer & Andreas Walli

  7. GeoImaging Ltd, Nicosia, Cyprus

    Konstantinos Smagas

  8. Ingeniería Y Soluciones Informáticas S.L., Seville, Spain

    Victor Sanchez Martin, Elisa Jimeno & Alejandro Garcia

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  1. Devrim Akca
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  2. Efstratios Stylianidis
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  3. Daniela Poli
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  4. Armin Gruen
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  5. Orhan Altan
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  6. Martin Hofer
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  7. Konstantinos Smagas
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  8. Victor Sanchez Martin
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  9. Andreas Walli
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  11. Alejandro Garcia
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Correspondence to Devrim Akca .

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Editors and Affiliations

  1. Department of Geomatics, Faculty of Civil Engineering, Istanbul Technical University, Istanbul, Turkey

    Orhan Altan

  2. Microwave Engineering and Electromagnetic Theory, Technische Universität Chemnitz, Chemnitz, Germany

    Madhu Chandra

  3. Department of Geomatics, Faculty of Civil Engineering, Istanbul Technical University, Istanbul, Turkey

    Filiz Sunar

  4. LabSoC Laboratory, COMELEC Department, Campus SophiaTech, Institut Mines-Telecom-Telecom ParisTech, Biot, France

    Tullio Joseph Tanzi

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Akca, D. et al. (2019). Pre- and Post-Fire Comparison of Forest Areas in 3D. In: Altan, O., Chandra, M., Sunar, F., Tanzi, T. (eds) Intelligent Systems for Crisis Management. Gi4DM 2018. Lecture Notes in Geoinformation and Cartography. Springer, Cham. https://doi.org/10.1007/978-3-030-05330-7_11

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