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

  • Jingjing Peng
  • Qiang Liu
  • Jiahong Li
  • Qinhuo Liu
Chapter
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 129)

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.

Keywords

chlorophyll content fluorescence hyperspectral remote sensing styling Heihe river basin 

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Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  • Jingjing Peng
    • 1
  • Qiang Liu
    • 1
    • 2
  • Jiahong Li
    • 3
  • Qinhuo Liu
    • 1
  1. 1.State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing ApplicationsChinese Academy of Sciences and Beijing Normal UniversityBeijingChina
  2. 2.College of Global Change and Earth System ScienceBeijing Normal UniversityBeijingChina
  3. 3.National Remote Sensing Center of ChinaBeijingChina

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