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Estimating the fractional cover of growth forms and bare surface in savannas. A multi-resolution approach based on regression tree ensembles

Gessner, Ursula und Machwitz, Miriam und Conrad, Christopher und Dech, Stefan (2013) Estimating the fractional cover of growth forms and bare surface in savannas. A multi-resolution approach based on regression tree ensembles. Remote Sensing of Environment, 129, Seiten 90-102. Elsevier. doi: 10.1016/j.rse.2012.10.026.

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Kurzfassung

Evaluations of existing land cover maps have revealed that high landscape heterogeneity and small patch sizes are a major reason for misclassification. These problems globally occur in biomes of mixed vegetation structure and are particularly relevant for African savannas. This paper presents a multi-resolution approach to derive fractional cover of vegetation growth forms at sub-pixel level, aiming at an improved mapping of land cover in the African grassland, savanna and shrubland biome. Fractional cover is delineated for woody growth forms (trees and shrubs), herbaceous growth forms, and bare surface. The approach incorporates very high resolution (QuickBird/IKONOS, 0.6–1 m), high resolution (Landsat TM/ETM+, 30 m), and medium resolution data (MODIS, 250 m). While QuickBird/IKONOS data are classified into discrete classes, at Landsat and MODIS resolutions, sub-pixel cover is delineated using non-parametric ensemble regression trees from the random forest family. The propagation of errors in the hierarchical multi-resolution approach is assessed with Monte Carlos simulations. The multi-resolution approach allows the adequate description of the heterogeneous vegetation structure in selected study regions of Southern Africa. The RMSE of the delineated fractional cover values range between 3.1% and 8.2% when compared with higher resolution data and between 4.4% and 9.9% when compared with field surveys. Errors at the Landsat resolution show minor influence on the accuracy of the MODIS results. Regarding the inter-resolution error propagation, for 90% of the Monte Carlo simulations, errors at the Landsat resolution resulted in RMSEs for MODIS increased by less than 4% (woody vegetation), 3.5% (herbaceous vegetation) and 2% (bare surface).

elib-URL des Eintrags:https://elib.dlr.de/79611/
Dokumentart:Zeitschriftenbeitrag
Titel:Estimating the fractional cover of growth forms and bare surface in savannas. A multi-resolution approach based on regression tree ensembles
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Gessner, Ursulaursula.gessner (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Machwitz, MiriamCentre de Recherche Public — Gabriel Lippmann, Department of Environment and Agro-Biotechnologies (EVA), 41, rue du Brill, 4422 Belvaux, LuxembourgNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Conrad, ChristopherUniversität Würzburg, Lehrstuhl für Fernerkundung, Am Hubland, 97074 WürzburgNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Dech, Stefanstefan.dech (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Datum:2013
Erschienen in:Remote Sensing of Environment
Referierte Publikation:Ja
Open Access:Ja
Gold Open Access:Nein
In SCOPUS:Ja
In ISI Web of Science:Ja
Band:129
DOI:10.1016/j.rse.2012.10.026
Seitenbereich:Seiten 90-102
Verlag:Elsevier
Status:veröffentlicht
Stichwörter:Sub-pixel fractional cover; Savanna; Grassland and shrubland biome; Africa; Vegetation structure; Land cover; Multi-resolution analysis
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 - Vorhaben Fernerkundung der Landoberfläche (alt)
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Deutsches Fernerkundungsdatenzentrum > Landoberfläche
Hinterlegt von: Gessner, Ursula
Hinterlegt am:14 Feb 2013 10:19
Letzte Änderung:07 Nov 2023 08:34

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