Estimating net primary productivity of croplands in Indo-Gangetic Plains using GOME-2 sun-induced fluorescence and MODIS NDVI

Patel, NR; Padalia, H; Devadas, R; Huete, A; Senthil Kumar, A; Krishna Murthy, YVN

Estimating net primary productivity of croplands in Indo-Gangetic Plains using GOME-2 sun-induced fluorescence and MODIS NDVI

Patel, NR Padalia, H Devadas, R

Huete, A

Senthil Kumar, A Krishna Murthy, YVN

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Publication Type:: Journal Article
Citation:: Current Science, 2018, 114 (6), pp. 1333 - 1337
Issue Date:: 2018-01-01

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Field	Value	Language
dc.contributor.author	Patel, NR	en_US
dc.contributor.author	Padalia, H	en_US
dc.contributor.author	Devadas, R https://orcid.org/0000-0002-2085-6442	en_US
dc.contributor.author	Huete, A https://orcid.org/0000-0003-2809-2376	en_US
dc.contributor.author	Senthil Kumar, A	en_US
dc.contributor.author	Krishna Murthy, YVN	en_US
dc.date.issued	2018-01-01	en_US
dc.identifier.citation	Current Science, 2018, 114 (6), pp. 1333 - 1337	en_US
dc.identifier.issn	0011-3891	en_US
dc.identifier.uri	http://hdl.handle.net/10453/130305
dc.description.abstract	© 2018 Current Science Association, Bengaluru. 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.	en_US
dc.relation.ispartof	Current Science	en_US
dc.relation.isbasedon	10.18520/cs/v114/i06/1333-1337	en_US
dc.subject.classification	Plant Biology & Botany	en_US
dc.title	Estimating net primary productivity of croplands in Indo-Gangetic Plains using GOME-2 sun-induced fluorescence and MODIS NDVI	en_US
dc.type	Journal Article
utslib.citation.volume	6	en_US
utslib.citation.volume	114	en_US
utslib.for	0703 Crop and Pasture Production	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Life Sciences
pubs.organisational-group	/University of Technology Sydney/Strength - CAMGIS - Centre for Advanced Modelling and Geospatial lnformation Systems
utslib.copyright.status	open_access
pubs.issue	6	en_US
pubs.publication-status	Published	en_US
pubs.volume	114	en_US

Abstract:

© 2018 Current Science Association, Bengaluru. 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.

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http://hdl.handle.net/10453/130305