Universität zu Köln

Yu, Kang ORCID: 0000-0002-0686-6783, Gnyp, Martin Leon, Gao, Cologne Lei, Miao, Yuxin, Chen, Xinping and Bareth, Georg (2015). Estimate Leaf Chlorophyll of Rice Using Reflectance Indices and Partial Least Squares. Photogramm. Fernerkund. Geoinf. (1). S. 45 - 55. STUTTGART: E SCHWEIZERBARTSCHE VERLAGSBUCHHANDLUNG. ISSN 2363-7145

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Abstract

In this study field experiments were conducted to test the ability of optimized spectral indices and partial least squares (PLS) to estimate leaf chlorophyll (Chl) content of rice from non-destructive canopy reflectance measurements. We integrated techniques involving the optimization of narrow band spectral indices and the detection of red edge position to optimize one type of spectral indices, the ratio of reflectance difference index (RRDI), for the estimation of leaf Chl content. The optimized RRDI in the red-edge (RRDIre = (R-745 - R-740)/(R-740-R-700)) accounted for 62% - 72% of the variation in leaf Chl content with an RMSE of 4.59 mu g/cm(2) - 4.89 mu g/cm(2). Compared to spectral indices, PLS improved the estimation of leaf Chl content, yielding R-2 and RMSE of 0.85 mu g/cm(2) and 3.22 mu g/cm(2), respectively. Finally, the model based on RRDI and the PLS model were further validated by an independent dataset collected in farmer fields. RRDI and PLS models yielded acceptable accuracy with R-2 of 0.49 and 0.55, respectively, and an RMSE of 5.47 mu g/cm(2) and 5.13 mu g/cm(2). Our results suggest the potential to optimize spectral indices and also the significance of PLS technique for mapping canopy biochemical variations.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Yu, Kang UNSPECIFIED orcid.org/0000-0002-0686-6783 UNSPECIFIED Gnyp, Martin Leon UNSPECIFIED UNSPECIFIED UNSPECIFIED Gao, Cologne Lei UNSPECIFIED UNSPECIFIED UNSPECIFIED Miao, Yuxin UNSPECIFIED UNSPECIFIED UNSPECIFIED Chen, Xinping UNSPECIFIED UNSPECIFIED UNSPECIFIED Bareth, Georg UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-417128
DOI:	10.1127/pfg/2015/0253
Journal or Publication Title:	Photogramm. Fernerkund. Geoinf.
Number:	1
Page Range:	S. 45 - 55
Date:	2015
Publisher:	E SCHWEIZERBARTSCHE VERLAGSBUCHHANDLUNG
Place of Publication:	STUTTGART
ISSN:	2363-7145
Language:	English
Faculty:	Faculty of Mathematics and Natural Sciences
Divisions:	Faculty of Mathematics and Natural Sciences > Department of Geosciences > Geographisches Institut
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language RED EDGE; PADDY RICE; FLUORESCENCE; BIOMASS; CANOPIES; STRESS Multiple languages Remote Sensing; Imaging Science & Photographic Technology Multiple languages
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/41712