Current Science

Open Access Open Access  Restricted Access Subscription Access

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.
User
Notifications
Font Size

  • Smorenburg, K. et al., Remote sensing of solar induced fluorescence of vegetation. SPIE Proc.: Remote Sensing Agric., Ecosyst. Hydrol. III, 2000, p. 4542.

  • Meroni, M., Rossini, M., Guanter, L., Alonso, L., Rascher, U., Colombo, R. and Moreno, J., Remote sensing of solar-induced chlorophyll fluorescence: review of methods and applications. Remote Sensing Environ., 2009, 113, 2037–2051.

  • Porcar-Castell, A. et al., Linking chlorophyll a fluorescence to photosynthesis for remote sensing applications: mechanisms and challenges. J. Exp. Bot., 2014, 65, 4065–4095.

  • Frankenberg, C. et al., New global observations of the terrestrial carbon cycle from GOSAT: patterns of plant fluorescence with gross primary productivity. Geophys. Res. Lett., 2011, 38, L03801; doi:10.1029/2010GL045896.

  • Guanter, L. et al., Retrieval and global assessment of terrestrial chlorophyll fluorescence from GOSAT space measurements. Remote Sensing Environ., 2012, 121, 236–251.

  • Joiner, J., Yoshida, Y., Vasilkov, A. P., Yoshida, Y., Corp, L. A. and Middleton, E. M., First observations of global and seasonal terrestrial chlorophyll fluorescence from space. Biogeosciences, 2011, 8, 637–651.

  • Joiner, J. et al., Global monitoring of terrestrial chlorophyll fluorescence from moderate-spectral-resolution near-infrared satellite measurements: methodology, simulations, and application to GOME-2. Atmos. Meas. Tech., 2013, 6, 2803–2823.

  • Guanter, L. et al., Global and time-resolved monitoring of crop photosynthesis with chlorophyll fluorescence. Proc. Natl. Acad. Sci. USA, 2014, 111(14), E1327–E1333.

  • Pal, D. K., Bhattacharyya, T., Srivastava, P., Chandran, P. and Ray, S. K., Soils of the Indo-Gangetic Plains: their historical perspective and management. Curr. Sci., 2009, 96(9), 1193–1202.

  • Nayak, R. K., Patel, N. R. and Dadhwal, V. K., Estimation and analysis of terrestrial net primary productivity over India by remote-sensing-driven terrestrial biosphere model. Environ. Monit. Assess., 2010, 1, 195–213.


Abstract Views: 218

PDF Views: 83




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

Abstract Views: 218  |  PDF Views: 83

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