Analyzing spatial patterns of change in vegetation & monitoring health status in Bavarian Forest National Park using multi-and hyperspectral datasets

Kamaraj, Nivedita and Holzwarth, Stefanie and Bachmann, Martin (2022) Analyzing spatial patterns of change in vegetation & monitoring health status in Bavarian Forest National Park using multi-and hyperspectral datasets. 7th Meeting of the Data Pool Initiative for the Bohemian Forest Ecosystem, online.

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Item URL in elib:

https://elib.dlr.de/148362/

Document Type:

Conference or Workshop Item (Speech)

Title:

Analyzing spatial patterns of change in vegetation & monitoring health status in Bavarian Forest National Park using multi-and hyperspectral 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

Date:

8 June 2022

Refereed publication:

Open Access:

Yes

Gold Open Access:

In SCOPUS:

In ISI Web of Science:

Status:

Published

Keywords:

DESIS, forest health

Event Title:

7th Meeting of the Data Pool Initiative for the Bohemian Forest Ecosystem

Event Location:

online

Event Type:

Workshop

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:

08 Jun 2022 10:15

Last Modified:

08 Jun 2022 10:15

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