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LiDAR derived topography and forest stand characteristics largely explain the spatial variability observed in MODIS land surface phenology

Misra, Gourav und Buras, Allan und Heurich, Marco und Asam, Sarah und Menzel, Annette (2018) LiDAR derived topography and forest stand characteristics largely explain the spatial variability observed in MODIS land surface phenology. Remote Sensing of Environment, 218, Seiten 231-244. Elsevier. doi: 10.1016/j.rse.2018.09.027. ISSN 0034-4257.

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Offizielle URL: https://www.sciencedirect.com/science/article/abs/pii/S0034425718304462#!

Kurzfassung

In the past, studies have successfully identified climatic controls on the temporal variability of the land surface phenology (LSP). Yet we lack a deeper understanding of the spatial variability observed in LSP within a land cover type and the factors that control it. Here we make use of a high resolution LiDAR based dataset to study the effect of subpixel forest stand characteristics on the spatial variability of LSP metrics based on MODIS NDVI. Multiple linear regression techniques (MLR) were applied on forest stand information and topography derived from LiDAR as well as land cover information (i.e. CORINE and proprietary habitat maps for the year 2012) to predict average LSP metrics of the mountainous Bavarian Forest National Park, Germany. Six different LSP metrics, i.e. start of season (SOS), end of season (EOS), length of season (LOS), NDVI integrated over the growing season (NDVIsum), maximum NDVI value (NDVImax) and day of maximum NDVI (maxDOY) were modelled in this study. It was found that irrespective of the land cover, the mean SOS, LOS and NDVIsum were largely driven by elevation. However, inclusion of detailed forest stand information improved the models considerably. The EOS however was more complex to model, and the subpixel percentage of broadleaf forests and the slope of the terrain were found to be more strongly linked to EOS. The explained variance of the NDVImax improved from 0.45 to 0.71 when additionally considering land cover information, which further improved to 0.84 when including LiDAR based subpixelforest stand characteristics. Since completely homogenous pixels are rare in nature, our results suggest that incorporation of subpixel forest stand information along with land cover type leads to an improved performance of topography based LSP models. The novelty of this study lies in the use of topography, land cover and subpixel vegetation characteristics derived from LiDAR in a stepwise manner with increasing level of complexity, which demonstrates the importance of forest stand information on LSP at the pixel level.

elib-URL des Eintrags:https://elib.dlr.de/123051/
Dokumentart:Zeitschriftenbeitrag
Titel:LiDAR derived topography and forest stand characteristics largely explain the spatial variability observed in MODIS land surface phenology
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Misra, Gouravmisra (at) wzw.tum.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Buras, AllanNICHT SPEZIFIZIERTNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Heurich, MarcoBavarian Forest National Park, Department of ResearchNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Asam, Sarahsarah.asam (at) dlr.dehttps://orcid.org/0000-0002-7302-6813NICHT SPEZIFIZIERT
Menzel, Annetteamenzel (at) wzw.tum.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Datum:1 Dezember 2018
Erschienen in:Remote Sensing of Environment
Referierte Publikation:Ja
Open Access:Nein
Gold Open Access:Nein
In SCOPUS:Ja
In ISI Web of Science:Ja
Band:218
DOI:10.1016/j.rse.2018.09.027
Seitenbereich:Seiten 231-244
Verlag:Elsevier
ISSN:0034-4257
Status:veröffentlicht
Stichwörter:NDVI LiDAR Land cover Phenology Modelling Spatial variability Forest stand characteristics Mountains Bavarian Forest National Park
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Raumfahrt
HGF - Programmthema:Erdbeobachtung
DLR - Schwerpunkt:Raumfahrt
DLR - Forschungsgebiet:R EO - Erdbeobachtung
DLR - Teilgebiet (Projekt, Vorhaben):R - Fernerkundung u. Geoforschung
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Deutsches Fernerkundungsdatenzentrum > Dynamik der Landoberfläche
Hinterlegt von: Asam, Dr. Sarah
Hinterlegt am:13 Nov 2018 11:04
Letzte Änderung:13 Nov 2018 11:04

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