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Estimating Net Primary Productivity of Croplands in Indo-Gangetic Plains Using GOME-2 Sun-Induced Fluorescence and MODIS NDVI


Affiliations
1 Indian Institute of Remote Sensing, Dehradun 248 001, India
2 University of Technology Sydney, Sydney, Australia
3 National Remote Sensing Centre, Hyderabad 500 072, India
 

Recently evolved satellite-based sun-induced fluorescence (SIF) spectroscopy is considered as a direct measure of photosynthetic activity of vegetation. We have used monthly averages of satellite-based SIF retrievals for three agricultural year cycles, i.e. May to April for each of the three years, viz. 2007–08, 2008–09 and 2009–10 to assess comparative performance of SIF and normalized difference vegetation index (NDVI) for predicting net primary productivity (NPP) over the Indo-Gangetic Plains, India. Results show that SIF values for C4 crop-dominated districts were higher than C3 crop-dominated districts during summer and low during winter for all three years. SIF explained more or less above 70% of variance in NPP. The variance explained by integrated NDVI ranged from 60% to 67%. Thus the present study has shown the potential of SIF data for improved modelling of agricultural productivity at a regional scale.

Keywords

Crop Lands, Net Primary Productivity, Photosynthetic Activity, Sun-Induced Fluorescence.
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  • Estimating Net Primary Productivity of Croplands in Indo-Gangetic Plains Using GOME-2 Sun-Induced Fluorescence and MODIS NDVI

Abstract Views: 379  |  PDF Views: 122

Authors

N. R. Patel
Indian Institute of Remote Sensing, Dehradun 248 001, India
Hitendra Padalia
Indian Institute of Remote Sensing, Dehradun 248 001, India
R. Devadas
University of Technology Sydney, Sydney, Australia
A. Huete
University of Technology Sydney, Sydney, Australia
A. Senthil Kumar
Indian Institute of Remote Sensing, Dehradun 248 001, India
Y. V. N. Krishna Murthy
National Remote Sensing Centre, Hyderabad 500 072, India

Abstract


Recently evolved satellite-based sun-induced fluorescence (SIF) spectroscopy is considered as a direct measure of photosynthetic activity of vegetation. We have used monthly averages of satellite-based SIF retrievals for three agricultural year cycles, i.e. May to April for each of the three years, viz. 2007–08, 2008–09 and 2009–10 to assess comparative performance of SIF and normalized difference vegetation index (NDVI) for predicting net primary productivity (NPP) over the Indo-Gangetic Plains, India. Results show that SIF values for C4 crop-dominated districts were higher than C3 crop-dominated districts during summer and low during winter for all three years. SIF explained more or less above 70% of variance in NPP. The variance explained by integrated NDVI ranged from 60% to 67%. Thus the present study has shown the potential of SIF data for improved modelling of agricultural productivity at a regional scale.

Keywords


Crop Lands, Net Primary Productivity, Photosynthetic Activity, Sun-Induced Fluorescence.

References





DOI: https://doi.org/10.18520/cs%2Fv114%2Fi06%2F1333-1337