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Analysis of temporal statistics and long term climate observations for deriving the predisposition of forests to stress events

Reichmuth, Anne and Pinnel, Nicole and Rogge, Derek and Heiden, Uta (2017) Analysis of temporal statistics and long term climate observations for deriving the predisposition of forests to stress events. 37th International Symposium on Remote Sensing of Environment (ISRSE-37), Tshwane, South Africa.

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Abstract

Forest ecosystems are affected by stress induced changes in various ways. Environmental factors that affect trees negatively can be distinguished between biotic and abiotic factors. Abiotic factors are non-living such as drought, storm, frost, etc. Biotic factors are of living kind such as fungi or insects. Tree species react to stress in terms of activating their repair process and/or long-term adaptation of their morphology and metabolism. Depending on the strength of stress events this can lead to resistance and repair or severe damages and even plant death. However, with regard to water or nutrient supply, tree species respond very differently. Especially for coniferous tree species bark beetle infestations are a consequence of primary damage in form of drought and unfavourale conditions for trees. Therefor it is crucial to analyse the predisposition of forests to stress events. Long-term temporal statistics of Landsat data will be analysed for change of forest state and linked to temporal climate records and soil-moisture data. Especially longterm and repeated drought periods result in lower vitality of forests prolonging for several years after the drought event. The preliminary results of a case study will be presented and an outlook for further research will be given.

Item URL in elib:https://elib.dlr.de/115189/
Document Type:Conference or Workshop Item (Speech)
Title:Analysis of temporal statistics and long term climate observations for deriving the predisposition of forests to stress events
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Reichmuth, AnneAnne.Reichmuth (at) dlr.deUNSPECIFIED
Pinnel, NicoleNicole.Pinnel (at) dlr.dehttps://orcid.org/0000-0003-1978-3204
Rogge, DerekDerek.Rogge (at) dlr.deUNSPECIFIED
Heiden, Utauta.heiden (at) dlr.deUNSPECIFIED
Date:May 2017
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Forest stress, Time-series, Landsat, Climate, Temporal Statistics
Event Title:37th International Symposium on Remote Sensing of Environment (ISRSE-37)
Event Location:Tshwane, South Africa
Event Type:international Conference
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 - Remote sensing and geoscience
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center
Deposited By: Reichmuth, Anne
Deposited On:21 Nov 2017 13:50
Last Modified:11 Dec 2018 09:06

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