Detecting spatial patterns of change in vegetation condition inside Bavarian Forest National Park using Multi- and Hyperspectral spaceborne datasets

Kamaraj, Nivedita and Holzwarth, Stefanie and Bachmann, Martin and Thonfeld, Frank and König, Simon and Heurich, Marco (2022) Detecting spatial patterns of change in vegetation condition inside Bavarian Forest National Park using Multi- and Hyperspectral spaceborne datasets. 12th EARSeL Workshop on Imaging Spectroscopy, 2022-06-21 - 2022-06-24, Potsdam, Germany.

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Item URL in elib:

https://elib.dlr.de/187189/

Document Type:

Conference or Workshop Item (Speech)

Title:

Detecting spatial patterns of change in vegetation condition inside Bavarian Forest National Park using Multi- and Hyperspectral spaceborne datasets

Authors:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Kamaraj, Nivedita	University of Münster	UNSPECIFIED	UNSPECIFIED
Holzwarth, Stefanie	UNSPECIFIED	https://orcid.org/0000-0001-7364-7006	UNSPECIFIED
Bachmann, Martin	UNSPECIFIED	https://orcid.org/0000-0001-8381-7662	UNSPECIFIED
Thonfeld, Frank	UNSPECIFIED	https://orcid.org/0000-0002-3371-7206	UNSPECIFIED
König, Simon	Bavarian Forest National Park	UNSPECIFIED	UNSPECIFIED
Heurich, Marco	Department of Visitor Management and National Park Monitoring, Bavarian Forest National Park Administration, Grafenau, Germany	https://orcid.org/0000-0003-0051-2930	UNSPECIFIED

Date:

June 2022

Refereed publication:

Open Access:

Yes

Gold Open Access:

In SCOPUS:

In ISI Web of Science:

Status:

Published

Keywords:

Hyperspectral, imaging spectroscopy, DESIS, Sentinel-2, forest, forest health, bavarian national park,

Event Title:

12th EARSeL Workshop on Imaging Spectroscopy

Event Location:

Potsdam, Germany

Event Type:

international Conference

Event Start Date:

21 June 2022

Event End Date:

24 June 2022

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:

Bachmann, Dr.rer.nat. Martin

Deposited On:

27 Jul 2022 09:26

Last Modified:

24 Apr 2024 20:48

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