elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Contact | Deutsch
Fontsize: [-] Text [+]

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.

Full text not available from this repository.

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.

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 Authors
Twele, Andréandre.twele@dlr.de
Erasmi, StefanUniversität Göttingen
Kappas, MartinUniversität Göttingen
Date:15 April 2008
Journal or Publication Title:Giscience & Remote Sensing
Refereed publication:Yes
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:Bellwether Publishing, Ltd.
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
Location: Oberpfaffenhofen
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

Repository Staff Only: item control page

Browse
Search
Help & Contact
Informationen
electronic library is running on EPrints 3.3.12
Copyright © 2008-2012 German Aerospace Center (DLR). All rights reserved.