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Comparison of two Statistical Methods for the Derivation of the Fraction of Absorbed Photosynthetic Active Radiation for Cotton

Lex, Sylvia and Asam, Sarah and Löw, Fabian and Conrad, Christopher (2015) Comparison of two Statistical Methods for the Derivation of the Fraction of Absorbed Photosynthetic Active Radiation for Cotton. Photogrammetrie, Fernerkundung, Geoinformation, 1, pp. 55-67. E. Schweizerbartsche Verlagsbuchhandlung. DOI: 10.1127/pfg/2015/0250 ISSN 1432-8364

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Official URL: http://www.schweizerbart.de/papers/pfg/detail/2015/84647/Comparison_of_two_Statistical_Methods_for_the_Derivation_of_the_Fraction_of_Absorbed_Photosynthetic_Active_Radiation_for_Cotton

Abstract

The fraction of absorbed photosynthetic active radiation (FAPAR) is an important input for modelling biomass increase and agricultural yield and can be calculated based on optical remote sensing data. In this study two remote sensing based approaches to derive the FAPAR for irrigated cotton in Fergana valley, Uzbekistan, are tested and compared: (i) FAPAR rescale from the normalized difference vegetation index (NDVI) (“percentile approach”), and (ii) an empirical regression approach based on NDVI. In the rescaling approach FAPAR was derived by relating upper and lower percentiles derived from the NDVI distribution of cotton fields from the entire study area to fixed FAPAR minima (bare soil) and maxima. NDVI was derived from multi-temporal 6.5 m RapidEye data acquired throughout 2011. For the regression approach FAPAR data was collected in situ from cotton fields during the vegetation season. The percentile approach delivered an RMSE of 0.10 whilst regression was only slightly better with an RMSE of 0.07. Hence, the percentile approach could be concluded as being a fast and easy alternative to field data demanding empirical regressions for the derivation of FAPAR on cotton fields.

Item URL in elib:https://elib.dlr.de/96833/
Document Type:Article
Title:Comparison of two Statistical Methods for the Derivation of the Fraction of Absorbed Photosynthetic Active Radiation for Cotton
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Lex, Sylviasylvia.lex (at) uni-wuerzburg.deUNSPECIFIED
Asam, Sarahsarah.asam (at) uni-wuerzburg.dehttps://orcid.org/0000-0002-7302-6813
Löw, Fabianfabian.loew (at) uni-wuerzburg.deUNSPECIFIED
Conrad, Christopherchristopher.conrad (at) uni-wuerzburg.deUNSPECIFIED
Date:February 2015
Journal or Publication Title:Photogrammetrie, Fernerkundung, Geoinformation
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
Volume:1
DOI :10.1127/pfg/2015/0250
Page Range:pp. 55-67
Publisher:E. Schweizerbartsche Verlagsbuchhandlung
ISSN:1432-8364
Status:Published
Keywords:FAPAR, agriculture, RapidEye, NDVI, empirical regression, percentile approach
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 Geowissenschaftl. Fernerkundungs- und GIS-Verfahren
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center
Deposited By: Wöhrl, Monika
Deposited On:24 Jun 2015 13:42
Last Modified:06 Sep 2019 15:29

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