Retrieval of wheat leaf area index using price approach based on inversion of canopy reflectance model |
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Authors: | R P Singh V K Dadhwal K P Singh R R Navalgund R Sharma G D Bairagi S A Raza N K Sharma |
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Institution: | 1. Space Applications Centre (ISRO), 380 015, Ahmedabad 2. Banaras Hindu University, 221005, Varanasi 4. Chattisgarh Council of Science and Technology, 492 010, Raipur 5. Madhya Pradesh Council of Science and Technology, 462 004, Bhopal
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Abstract: | This paper reports estimation of the Leaf Area Index (LAI) of wheat crop from IRS-LISS-III data using Price (1993) approach.
Empirical approach for LAI estimation with different NDVI estimation procedures viz. radiance, apparent reflectance and dark
object subtraction (DOS) based atmospheric correction were also evaluated. Validation of LAI retrieval and NDVI normalizations
were carried out using field level measurements of crop LAI and spectral property using canopy analyzer and spectro-radiometer,
respectively over selected fields in Bhopal District, Madhya Pradesh. It was observed that empirical relations are sensitive
to the NDVI estimation approach and DOS method performed better as compared to other two approaches. It was also observed
that LAI estimation from Price algorithm is sensitive to the crop attenuation coefficients. Crop specific attenuation coefficients
reported in literature for Indian cultivars gave higher accuracy. The root mean square (RMS) error of 0.77 for LAI estimation
was achieved using above described approach. |
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