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Data Pool Initiative for the Bohemian Forest Ecosystem; 4 Years of Success

Holzwarth, Stefanie and Heiden, Uta and Heurich, Marco and Müller, Jörg and Stáry, Martin and Skidmore, Andrew (2019) Data Pool Initiative for the Bohemian Forest Ecosystem; 4 Years of Success. ESA Living Planet Symposium, 2019-05-13 - 2019-05-17, Milan, Italy.

Full text not available from this repository.

Abstract

The Bohemian Forest right at the national border between the Czech Republic, Austria and Bavaria in Germany is a unique area of forested mountains and plateaux with relatively harsh climates and many peat bogs. Historically, the human impact in the region was comparability low and therefore led to the preservation of a unique forest ecosystem. The centre of the area is formed by two contiguous protected areas, the Bavarian Forest National Park (240 km2) and the Šumava National Park (690 km2), which are surrounded by the Bavarian Forest Natural Park (3,000 km2) and the Bohemian Forest Protected Landscape Area (1,000 km2). This area provides a perfect field of research to study natural and near natural ecosystems. Since January 2015 the cooperation agreement “Data Pool Initiative for the Bohemian Forest Ecosystem” exists between the Bavarian Forest National Park, the Šumava National Park and a diversity of European research organizations and universities. Overall, 9 partners did sign the agreement supporting the mutual goal to contribute to the data pool with remote sensing data as well as with in-situ data including adequate metadata information respectively. The steadily increasing data pool provides input for a multitude of scientific questions concerning the two national parks, mainly related to forestry. The main objectives of the data pool initiative are to store and provide large remote sensing data sets, to offer a testing environment for new sensor developments, to serve as a laboratory for Essential Biodiversity Variables (EBV), to facilitate collaborative research and to create information for the national park management. Within the last 4 years, 15 airborne surveys did take place with four different remote sensing systems, namely LiDAR, digital imagery, hyperspectral reflective and thermal imagery and SAR. In addition to the airborne campaigns, numerous intensive field activities did take place. The overall suite of data is complemented by satellite data, like SPOT-5, TerraSAR-X, ALOS and of course the data products of the Sentinel satellite systems. Until now, more than 40 publications covering a variety of scientific fields like forestry, ecology and animal conservation did follow from the data pool initiative.

Item URL in elib:https://elib.dlr.de/128318/
Document Type:Conference or Workshop Item (Poster)
Title:Data Pool Initiative for the Bohemian Forest Ecosystem; 4 Years of Success
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Holzwarth, StefanieUNSPECIFIEDhttps://orcid.org/0000-0001-7364-7006UNSPECIFIED
Heiden, UtaUNSPECIFIEDhttps://orcid.org/0000-0002-3865-1912UNSPECIFIED
Heurich, MarcoBavarian Forest National Park, Department of ResearchUNSPECIFIEDUNSPECIFIED
Müller, JörgBavarian Forest National Park, Department of ResearchUNSPECIFIEDUNSPECIFIED
Stáry, MartinŠumava National ParkUNSPECIFIEDUNSPECIFIED
Skidmore, AndrewUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:2019
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Remote Sensing; Biodiversity Monitoring; Bohemian Forest Ecosystem
Event Title:ESA Living Planet Symposium
Event Location:Milan, Italy
Event Type:international Conference
Event Start Date:13 May 2019
Event End Date:17 May 2019
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Remote Sensing and Geo Research
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface Dynamics
Deposited By: Holzwarth, Stefanie
Deposited On:05 Aug 2019 09:59
Last Modified:24 Apr 2024 20:31

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