Ehammer, Andrea and Fritsch, Sebastian and Conrad, Christopher and Lamers, John and Dech, Stefan (2010) Statistical derivation of fPAR and LAI for irrigated cotton and rice in arid Uzbekistan by combining multi-temporal RapidEye data and ground measurements. In: Remote Sensing for Agriculture, Ecosystems, and Hydrology XII, 7824, pp. 1-10. SPIE. SPIE remote sensing symposium 2010, 20. - 23. September, Toulouse. ISBN 9780819483416.
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Official URL: http://spie.org/x648.html?product_id=864796
Abstract
Land surface biophysical parameters such as the fraction of photosynthetic active radiation (fPAR) and leaf area index (LAI) are keys for monitoring vegetation dynamics and in particular for biomass and carbon flux simulation. This study aimed at deriving accurate regression equations from the newly available RapidEye satellite sensor to be able to map regional fPAR and LAI which could be used as inputs for crop growth simulations. Therefore, multi-temporal geo- and atmospherically corrected RapidEye scenes were segmented to derive homogeneous patches within the experimental fields. Various vegetation indices (VI) were calculated for each patch focusing on indices that include RapidEye's red edge band and further correlated with in situ measured fPAR and LAI values of cotton and rice. Resulting coefficients of determination ranged from 0.55 to 0.95 depending on the indices analysed, object scale, crop type and regression function type. The general relationships between VI and fPAR were found to be linear. Nonlinear models gave a better fit for VI-LAI relation. VIs derived from the red edge channel did not prove to be generally superior to other VIs.
Item URL in elib: | https://elib.dlr.de/67218/ | ||||||||||||||||||
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Document Type: | Conference or Workshop Item (Speech, Paper) | ||||||||||||||||||
Title: | Statistical derivation of fPAR and LAI for irrigated cotton and rice in arid Uzbekistan by combining multi-temporal RapidEye data and ground measurements | ||||||||||||||||||
Authors: |
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Date: | 2010 | ||||||||||||||||||
Journal or Publication Title: | Remote Sensing for Agriculture, Ecosystems, and Hydrology XII | ||||||||||||||||||
Refereed publication: | No | ||||||||||||||||||
Open Access: | No | ||||||||||||||||||
Gold Open Access: | No | ||||||||||||||||||
In SCOPUS: | No | ||||||||||||||||||
In ISI Web of Science: | No | ||||||||||||||||||
Volume: | 7824 | ||||||||||||||||||
Page Range: | pp. 1-10 | ||||||||||||||||||
Editors: |
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Publisher: | SPIE | ||||||||||||||||||
Series Name: | Proceedings of SPIE | ||||||||||||||||||
ISBN: | 9780819483416 | ||||||||||||||||||
Status: | Published | ||||||||||||||||||
Keywords: | biophysical parameters, vegetation indices, upscaling, irrigated agriculture, Central Asia | ||||||||||||||||||
Event Title: | SPIE remote sensing symposium 2010 | ||||||||||||||||||
Event Location: | Toulouse | ||||||||||||||||||
Event Type: | international Conference | ||||||||||||||||||
Event Dates: | 20. - 23. September | ||||||||||||||||||
Organizer: | SPIE | ||||||||||||||||||
HGF - Research field: | Aeronautics, Space and Transport (old) | ||||||||||||||||||
HGF - Program: | Space (old) | ||||||||||||||||||
HGF - Program Themes: | W EO - Erdbeobachtung | ||||||||||||||||||
DLR - Research area: | Space | ||||||||||||||||||
DLR - Program: | W EO - Erdbeobachtung | ||||||||||||||||||
DLR - Research theme (Project): | W - Vorhaben Geowissenschaftl. Fernerkundungs- und GIS-Verfahren (old) | ||||||||||||||||||
Location: | other , Oberpfaffenhofen | ||||||||||||||||||
Institutes and Institutions: | German Remote Sensing Data Center | ||||||||||||||||||
Deposited By: | Zeidler, Julian | ||||||||||||||||||
Deposited On: | 10 Feb 2011 10:15 | ||||||||||||||||||
Last Modified: | 10 Feb 2011 10:15 |
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