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Reconnaissance of coastal areas using simulated EnMAP data in an ERDAS IMAGINE Environment

Becker, Merlin and Schreiner, Simon and Auer, Stefan and Cerra, Daniele and Gege, Peter and Bachmann, Martin and Roitzsch, Andreas and Mitschke, Uwe and Middelmann, Wolfgang (2018) Reconnaissance of coastal areas using simulated EnMAP data in an ERDAS IMAGINE Environment. SPIE - Remote Sensing - Earth Resources and Environmental Remote Sensing/GIS Applications, 10.-13. Sept. 2018, Berlin, Deutschland.

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Abstract

Operations in a military naval context require a detailed planning and information gathering. For this purpose, remote sensing is a useful technique without in-situ survey. A collaboration of Fraunhofer IOSB (Institute of Optronics, System Technologies and Image Exploitation), DLR (German Aerospace Center), and Bundeswehr Geoinformation Centre ZGeoBw, engineered a desktop Geoinformation (GIS) plug-in to generate bathymetric charts and land-use-classes (vegetation, soil types and minerals) using hyperspectral data of coastal areas. These data are basis for further analyses like trafficability, barrier detection and change detection. To evaluate the potential of satellites launched in the near future with hyperspectral sensors onboard (EnMAP), aerial hyperspectral data (HySpex, AISA) were collected over a test site near the Wismar Bay in Germany and are used to simulate the satellite hyperspectral data with corresponding recording terms. Additionally, a field campaign was conducted at the Wismar Bay to acquire a ground truth dataset for model validation, including soil spectra and water depths as well. For generating the bathymetric charts, the WASI (Water Color Simulator) approach was adapted, which offers additional information besides water depth (e.g. dissolved matter, brightness of sand, relative amount of sea grass and other properties). Resulting bathymetric charts with a depth up to eight meters and unsupervised classifications of land cover are free of artefacts and accurate. A validation process is in progress. The engineered desktop GIS plug-in for HEXAGON ERDAS IMAGINE software was developed using the native SDK in addition with interoperable scripts like Python. The existing plug-in framework is variable and adaptable to different kind of GIS.

Item URL in elib:https://elib.dlr.de/122623/
Document Type:Conference or Workshop Item (Speech)
Title:Reconnaissance of coastal areas using simulated EnMAP data in an ERDAS IMAGINE Environment
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Becker, MerlinFraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSBUNSPECIFIED
Schreiner, SimonFraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSBUNSPECIFIED
Auer, StefanStefan.Auer (at) dlr.dehttps://orcid.org/0000-0001-9310-2337
Cerra, Danieledaniele.cerra (at) dlr.dehttps://orcid.org/0000-0003-2984-8315
Gege, Peterpeter.gege (at) dlr.dehttps://orcid.org/0000-0003-0939-5267
Bachmann, MartinMartin.Bachmann (at) dlr.dehttps://orcid.org/0000-0001-8381-7662
Roitzsch, AndreasZentrum für Geoinformationswesen der Bundeswehr ZGeoBwUNSPECIFIED
Mitschke, UweZentrum für Geoinformationswesen der Bundeswehr ZGeoBwUNSPECIFIED
Middelmann, WolfgangFraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSBUNSPECIFIED
Date:September 2018
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 1-12
Status:Published
Keywords:Hyperspektralfernerkundung, Bathymetrie, Klassifikation, HySpex
Event Title:SPIE - Remote Sensing - Earth Resources and Environmental Remote Sensing/GIS Applications
Event Location:Berlin, Deutschland
Event Type:international Conference
Event Dates:10.-13. Sept. 2018
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
Remote Sensing Technology Institute > Experimental Methods
German Remote Sensing Data Center > Land Surface Dynamics
Deposited By: Auer, Dr. Stefan
Deposited On:05 Nov 2018 10:10
Last Modified:01 Nov 2019 03:00

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