Estimation of Crop Chlorophyll Content by Spectral Indices Using Hyperspectral Non-imaging Data

  • Pooja Vinod Janse
  • Ratnadeep R. DeshmukhEmail author
  • Jaypalsing N. KayteEmail author
  • Priyanka U. RandiveEmail author
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 1037)


Leaf chlorophyll plays very important role in photosynthesis process which enables conversion of light energy into biochemical energy which is directly related with plant stress, relationship between environment and plants, plants nutritional stress which is important for agriculture management. Conventional methods for estimating leaf chlorophyll content are destructive, time consuming and difficult for taking repeated measurement. So we have estimated leaf chlorophyll content using hyperspectral non-imaging data. Leaf reflectance has been captured by using FieldSpec 4 Spectroradiometer. Different spectral indices were applied for estimation of chlorophyll content and to develop non-destructive model. Spectral indices which have been applied over spectral reflectance have been reported as sensitive to chlorophyll content present in leaf and the correlation between chlorophyll content and indices shows medium to good \(R^2\) values.


Chlorophyll content Spectral indices Hyperspectral remote sensing Spectral reflectance 



The authors are thankful to UGC for providing BSR fellowship as a financial support for this research work and also for formation of UGC SAP (II) DRS Phase-I and Phase-II, the authors also extends our deepest thanks to DST-FIST for their support for this work with consent no. SR/FST/ETI-340/2013 to Dept. of CS and IT, Dr. B. A. M. University, Aurangabad. The authors are also thankful to Authorities of Department and University for providing the setup and necessary backing to the research.


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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Department of CS and ITDr. B. A. M. UniversityAurangabadIndia

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