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Spatially Explicit Estimation of Leaf Area Index Using EO-1 Hyperion and Landsat ETM+ Data: Implications of Spectral Bandwidth and Shortwave Infrared Data on Prediction Accuracy in a Tropical Montane Environment

Twele, André und Erasmi, Stefan und Kappas, Martin (2008) Spatially Explicit Estimation of Leaf Area Index Using EO-1 Hyperion and Landsat ETM+ Data: Implications of Spectral Bandwidth and Shortwave Infrared Data on Prediction Accuracy in a Tropical Montane Environment. Giscience & Remote Sensing, 45 (2), Seiten 229-248. Bellwether Publishing, Ltd.. DOI: 10.2747/1548-1603.45.2.229. ISSN 1548-1603.

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Offizielle URL: http://bellwether.metapress.com/content/120751/

Kurzfassung

This study evaluated the utility of narrowband (EO-1 Hyperion) and broadband (Landsat ETM+) remote sensing data for the estimation of leaf area index (LAI) in a tropical environment in Sulawesi, Indonesia. LAI was inferred from canopy gap fraction measurements taken in natural tropical forest and cocoa plantations. Single and multiple spectral bands and spectral indices were used as predictor variables in reduced major axis (RMA) and ordinary least squares (OLS) regression models. The predictive power of most regression models was notably higher when employing narrowband data instead of broadband data. Highly significant relationships between LAI and spectral reflectance were observed near the red-edge region and in most shortwave infrared (SWIR) bands. In contrast to most near-infrared (NIR) narrow bands, the correlation between SWIR reflectance and LAI was not confounded when including both vegetation types and did not suffer from saturation. The results demonstrate that leaf area index of a challenging tropical environment can be estimated with satisfactory accuracy from hyperspectral remote sensing data.

Dokumentart:Zeitschriftenbeitrag
Titel:Spatially Explicit Estimation of Leaf Area Index Using EO-1 Hyperion and Landsat ETM+ Data: Implications of Spectral Bandwidth and Shortwave Infrared Data on Prediction Accuracy in a Tropical Montane Environment
Autoren:
AutorenInstitution oder E-Mail-Adresse der Autoren
Twele, Andréandre.twele@dlr.de
Erasmi, StefanUniversität Göttingen
Kappas, MartinUniversität Göttingen
Datum:15 April 2008
Erschienen in:Giscience & Remote Sensing
Referierte Publikation:Ja
In SCOPUS:Ja
In ISI Web of Science:Ja
Band:45
DOI :10.2747/1548-1603.45.2.229
Seitenbereich:Seiten 229-248
Verlag:Bellwether Publishing, Ltd.
ISSN:1548-1603
Status:veröffentlicht
Stichwörter:Remote Sensing, LAI, Hyperspectral, Indonesia, Tropical Rainforest
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 Zivile Kriseninformation und Georisiken
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Deutsches Fernerkundungsdatenzentrum > Umwelt und Sicherheit
Hinterlegt von: Andre Twele
Hinterlegt am:22 Dez 2008
Letzte Änderung:22 Apr 2013 13:37

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