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Assessment of crop productivity over intensively managed agriculture regions in India and Australia using cutting-edge fluorescence remote sensing data

Project Member(s): Huete, A.

Funding or Partner Organisation: The Department of Foreign Affairs and Trade (DFAT - Australia-India Council)

Start year: 2014

Summary: Food security relies on optimised agricultural productivity monitoring and management as food demands increase worldwide, including in India and Australia. Crop productivity patterns are not only driven by climatic conditions but increasingly by yield-enhancing, intensive management practices, including high rates of fertilisation, irrigation, and/or genetically modified plants. Agriculture inventories provide accurate information on crop yields, but are constrained by limited availability and difficulty in scaling up. There is a critical need for the development of new methods to monitor intensively managed agricultural regions. Here we propose a pilot India-Australia project to integrate agriculture production inventories and production models with remote sensing methods, including novel solar-induced fluorescence measures to more effectively monitor and estimate agricultural productivity in an accurate, continuous and objective manner. Activities [through collaboration between University of Technology-Sydney(UTS) and Indian Institute of Remote Sensing(IIRS)]: *Assess crop productivity methods in the intensively-fertilised, Indo-Gangetic Plains of northern India and the Murray-Darling River Basin in Australia. *Compare remote sensing based crop yield models and methodologies applied between these two regions *Map crop productivity over two regions by integrating field, optical and novel fluorescence remote sensing data. *Compare the crop productivity estimation across two study regions in relation to heterogeneity issues. *Explore the possibility of devising comprehensive data-driven and process-driven crop productivity models, including remote sensing based crop yield models. *Assemble an Indian and Australian team of experts in agriculture remote sensing, crop yield and forecast models for the establishment of a long-term crop monitoring programme for India and Australia.


Patel, NR, Padalia, H, Devadas, R, Huete, A, Senthil Kumar, A & Krishna Murthy, YVN 2018, 'Estimating net primary productivity of croplands in Indo-Gangetic Plains using GOME-2 sun-induced fluorescence and MODIS NDVI', Current Science, vol. 114, no. 6, pp. 1333-1337.
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Song, L, Guanter, L, Guan, K, You, L, Huete, A, Ju, W & Zhang, Y 2018, 'Satellite sun-induced chlorophyll fluorescence detects early response of winter wheat to heat stress in the Indian Indo-Gangetic Plains.', Global change biology, vol. 24, no. 9.
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Pandey, AK, Mishra, AK, Kumar, R, Berwal, S, Devadas, R, Huete, A & Kumar, K 2017, 'CO variability and its association with household cooking fuels consumption over the Indo-Gangetic Plains.', Environmental Pollution, vol. 222, pp. 83-93.
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FOR Codes: Effects of Climate Change and Variability on Australia (excl. Social Impacts), Ecosystem Assessment and Management of Farmland, Arable Cropland and Permanent Cropland Environments, Agricultural Spatial Analysis and Modelling, Environmentally Sustainable Plant Production not elsewhere classified, Photogrammetry and Remote Sensing, Agricultural Production Systems Simulation