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Quantitative Analysis of Crops Chlorophyll in the Heihe River Basin by Hyperspectral Remote Sensing Image

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Peng JJ, Liu Q, Li JH, Liu QH. Quantitative analysis of crops chlorophyll in the Heihe River Basin by hyperspectral remote sensing image. Recent Advances in Computer Science and Information Engineering: Lecture Notes in Electrical Engineering, 2012, 129: 681-689, 10.1007/978-3-642-25778-0_96 .
Literature information
Type Of Reference CHAP
Title Quantitative Analysis of Crops Chlorophyll in the Heihe River Basin by Hyperspectral Remote Sensing Image
Authors Peng, Jingjing| Liu, Qiang| Li, Jiahong| Liu, Qinhuo|
Secondary Title Recent Advances in Computer Science and Information Engineering
Abstract The continuous fine spectrums obtained by hyperspectral remote sensing provide broad accessibility to precisely estimate physiological and biochemical parameters of ground vegetation. Chlorophyll is responsible for absorbing sunlight, so the real-time and accurate monitoring of chlorophyll becomes an important research field of hyperspectral remote sensing in precision agriculture. By utilizing a spectral index which is sensitive to the chlorophyll content(Chl), this paper tried to calculate the Chl profiles of the arid region in Heihe River Basin based on hyperspectral remote sensing images acquired by Operational Modular Imaging Spectrometer (OMIS) in WATER campaign[1]. In addition, an Absorption Depth Index(ADI) was proposed as an effective indicator of the emissive chlorophyll fluorescence (ChlF) based on the spectral characteristics of Solar Fraunhofer lines, and the ChlF and ADI profiles at 760nm band of each experiment site were worked out. The inversion result of Chl and ChlF were in good conformity with the actual situation, which would serve as important materials for the real-time monitoring of crop growth in the Heihe river basin.
Date 2012/01/01/
Year 2012
Database Provider link.springer.com
Start Page 681
Issn 978-3-642-25777-3, 978-3-642-25778-0
Url http://link.springer.com/chapter/10.1007/978-3-642-25778-0_96
Access Date 2013/11/02/10:08:54
Keywords chlorophyll content| Computer Engineering| Electrical Engineering| Fluorescence| Heihe River Basin| hyperspectral remote sensing| styling|
file_attachments2 http://link.springer.com/chapter/10.1007/978-3-642-25778-0_96
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