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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 and Erasmi, Stefan and 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), pp. 229-248. Taylor & Francis. DOI: 10.2747/1548-1603.45.2.229 ISSN 1548-1603

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

Abstract

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.

Item URL in elib:https://elib.dlr.de/56931/
Document Type:Article
Title: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
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Twele, Andréandre.twele (at) dlr.deUNSPECIFIED
Erasmi, StefanUniversität GöttingenUNSPECIFIED
Kappas, MartinUniversität GöttingenUNSPECIFIED
Date:15 April 2008
Journal or Publication Title:Giscience & Remote Sensing
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:45
DOI :10.2747/1548-1603.45.2.229
Page Range:pp. 229-248
Publisher:Taylor & Francis
ISSN:1548-1603
Status:Published
Keywords:Remote Sensing, LAI, Hyperspectral, Indonesia, Tropical Rainforest
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 - Vorhaben Zivile Kriseninformation und Georisiken (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Environment and Security
Deposited By: Twele, Andre
Deposited On:22 Dec 2008
Last Modified:06 Sep 2019 15:20

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