NDLI: Estimation of paddy rice leaf area index using digital photography

Content Provider	IEEE Xplore Digital Library
Author	Yunjian Ge Zhenbo Liu Jian Chen Tao Sun
Copyright Year	2014
Description	Author affiliation: Sch. of Remote Sensing, Nanjing Univ. of Inf. Sci. & Technol., Nanjing, China (Yunjian Ge; Zhenbo Liu; Jian Chen) \|\| Inst. of Geographic Sci. & Natural Resources Res., Beijing, China (Tao Sun)
Abstract	In imaging process of digital cameras, digital number (DN) of images is often automatically compensated for effectiveness of human vision. In this study, DN correction based on gamma transformation theory is combined with a look-up table method to convert the output DN into a calibrated digital number (cDN). Then, the leaf area index (LAI) of paddy rice is estimated from gap fraction measurement in the vertical direction using the top-of-canopy digital color photography of rice and compare with the LAI measured using LAI-2000 instrument. The results show that the use of cDN improves the accuracy of estimated LAI due to its more precise differentiation between green leaf area and background in the histogram of corrected images, as well as less influence to LAI estimation from the water background of paddy rice in the early growing season and ears of rice and withered leaves during the late growing season.
Starting Page	681
Ending Page	686
File Size	1931601
Page Count	6
File Format	PDF
ISBN	9781479958351
DOI	10.1109/CISP.2014.7003865
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-14
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Histograms Estimation Digital Images Digital cameras Indexes Mathematical model Leaf Area Index Paddy Rice Canopy Gamma Correction Equations
Content Type	Text
Resource Type	Article

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