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Understanding Spatiotemporal Vegetation Patterns and Phenology Over the Alps Based on Medium Resolution Satellite Remote Sensing Data

Asam, Sarah and Callegari, Mattia and Jacob, Alexander and Notarnicola, Claudia (2018) Understanding Spatiotemporal Vegetation Patterns and Phenology Over the Alps Based on Medium Resolution Satellite Remote Sensing Data. EO4Alps Workshop, 27. - 29. Jun. 2018, Innsbruck, Österreich.

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Abstract

Monitoring the inter-annual variability of phenology under varying site conditions in mountain areas is of high interest, since alpine ecosystems are assumed to be strongly affected by climatic changes. To derive spatial information on plant development, remote sensing data have been used increasingly during the last decades, known as land surface phenology. However, mountain phenology patterns and trends have been insufficiently analyzed, with hardly any studies covering the entire European Alps. In addition, the available studies rely on coarse remote sensing data of 1-8 km resolution. Considering that mountains are heterogeneous landscapes with strongly varying altitudinal gradients and microclimatic conditions, this is a limiting factor. In this study, we aim at i) closing this gap by using the highest possible spatial resolution of MODIS data (250 m) for deriving the Normalized Difference Vegetation Index (NDVI) and ii) at identifying the temporal and spatial variability of vegetation patterns in dependency of altitude and exposition on an alpine-wide scale. NDVI and phenological metrics show spatially distinct distribution patterns according to topography. The SOS at different altitudes [100 – 3000 m] has a time lag of 45 – 75 days, while the inter-annual variability of mean SOS in different altitudes ranges from 17 to 32 days, with a higher variability in higher altitudes. Over the last 16 years, SOS has advanced in average by 0.27 days per year. In order to prolong the MODIS time series, we plan to use NDVI from AVHRR and Sentinel-3 at 1 km and 300 m spatial resolution, respectively.

Item URL in elib:https://elib.dlr.de/121072/
Document Type:Conference or Workshop Item (Poster)
Title:Understanding Spatiotemporal Vegetation Patterns and Phenology Over the Alps Based on Medium Resolution Satellite Remote Sensing Data
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Asam, Sarahsarah.asam (at) dlr.dehttps://orcid.org/0000-0002-7302-6813
Callegari, Mattiamattia.callegari (at) eurac.eduUNSPECIFIED
Jacob, Alexanderalexander.jacob (at) eurac.eduUNSPECIFIED
Notarnicola, Claudiaclaudia.notarnicola (at) eurac.eduUNSPECIFIED
Date:27 June 2018
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Phenology, Alps, MODIS, Vegetation Patterns
Event Title:EO4Alps Workshop
Event Location:Innsbruck, Österreich
Event Type:Workshop
Event Dates:27. - 29. Jun. 2018
Organizer:esa
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 > Land Surface
Deposited By: Asam, Dr. Sarah
Deposited On:01 Aug 2018 19:54
Last Modified:31 Jul 2019 20:18

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