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. Bellwether Publishing, Ltd.. DOI: 10.2747/1548-1603.45.2.229. ISSN 1548-1603.
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Official URL: http://bellwether.metapress.com/content/120751/
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.
|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|
|Date:||15 April 2008|
|Journal or Publication Title:||Giscience & Remote Sensing|
|In ISI Web of Science:||Yes|
|Page Range:||pp. 229-248|
|Publisher:||Bellwether Publishing, Ltd.|
|Keywords:||Remote Sensing, LAI, Hyperspectral, Indonesia, Tropical Rainforest|
|HGF - Research field:||Aeronautics, Space and Transport|
|HGF - Program:||Raumfahrt|
|HGF - Program Themes:||R EO - Erdbeobachtung|
|DLR - Research area:||Raumfahrt|
|DLR - Program:||R EO - Erdbeobachtung|
|DLR - Research theme (Project):||R - Vorhaben Zivile Kriseninformation und Georisiken|
|Institutes and Institutions:||German Remote Sensing Data Center > Environment and Security|
|Deposited By:||Andre Twele|
|Deposited On:||22 Dec 2008|
|Last Modified:||22 Apr 2013 13:37|
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