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Analysis of Protected Areas: The Use of Satellite Images for Data Mining within ECOPOTENTIAL

Bahmanyar, Reza and Datcu, Mihai and Dumitru, Corneliu and Espinoza-Molina, Daniela and Schwarz, Gottfried and Hummel, Christiaan and Hummel, Herman and Blonda, Palma and Diaz-Delgado, Ricardo (2017) Analysis of Protected Areas: The Use of Satellite Images for Data Mining within ECOPOTENTIAL. WorldCover 2017, 14.-16. März 2017, Frascati, Italien.

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Abstract

The EU-funded ECOPOTENTIAL project shall demonstrate, among others, the application potential of satellite images for detailed ecological studies of environmental and ecological protected areas within pre-defined bio-geographical regions of Europe. These studies aim at the corroboration of essential variables for the monitoring of protected areas in Europe. The innovative character of our project is a systematic assessment of how to exploit SAR satellite images in combination with multispectral optical satellite images and/or local in-situ measurements. The results of the project shall demonstrate the scientific gain when combining SAR image data with optical instrument data. While standard products of Sentinel-2 and WorldView-2 provide a sound basis for multispectral analysis and interpretation of vegetated areas, any additional information contained in SAR images (of TerraSAR-X and Sentinel-1) can improve the classification results and the analysis of time series data. We estimate that about 10 essential protected area variables (out of 93 envisaged variables) can be extracted from these images.

Item URL in elib:https://elib.dlr.de/111545/
Document Type:Conference or Workshop Item (Poster)
Title:Analysis of Protected Areas: The Use of Satellite Images for Data Mining within ECOPOTENTIAL
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Bahmanyar, Rezareza.bahmanyar (at) dlr.deUNSPECIFIED
Datcu, Mihaimihai.datcu (at) dlr.deUNSPECIFIED
Dumitru, Corneliucorneliu.dumitru (at) dlr.deUNSPECIFIED
Espinoza-Molina, Danieladaniela.espinozamolina (at) dlr.deUNSPECIFIED
Schwarz, Gottfriedgottfried.schwarz (at) dlr.deUNSPECIFIED
Hummel, ChristiaanRoyal Netherlands Institute for Sea ResearchUNSPECIFIED
Hummel, HermanRoyal Netherlands Institute for Sea ResearchUNSPECIFIED
Blonda, PalmaInstitute of Intelligent Systems for AutomationUNSPECIFIED
Diaz-Delgado, RicardoLAST, Laboratory of GIS and Remote SensingUNSPECIFIED
Date:14 March 2017
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Satellite images, Sentinel-1, Landsat-5, data mining, image classification, ECOPOTENTIAL
Event Title:WorldCover 2017
Event Location:Frascati, Italien
Event Type:international Conference
Event Dates:14.-16. März 2017
Organizer:ESA / ESRIN
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Schwarz, Gottfried
Deposited On:20 Mar 2017 16:07
Last Modified:31 Jul 2019 20:08

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