Agrometeorological Approach for Sugarcane Yield Estimation at Regional Scale Using Satellite Remote Sensing

Author:

Tripathy Rojalin,Nigam Rahul,Bhattacharya B. K.

Publisher

Springer Science and Business Media LLC

Subject

Earth and Planetary Sciences (miscellaneous),Geography, Planning and Development

Reference32 articles.

1. Bégué, A., Lebourgeois, V., Bappel, E., Todoroff, P., Pellegrino, A., Baillarin, F., & Siegmund, B. (2010). Spatio-temporal variability of sugarcane fields and recommendations for yield forecast using NDVI. International Journal of Remote Sensing, 31, 5391–5407. https://doi.org/10.1080/01431160903349057)

2. Bhattacharya, B. K., Nigam, R., Nanda, M. K., Singh, N., Raja, P. & Bairagi, G. D. (2014). Vegetation—Atmosphere interaction: Characterization and modelling of energy-mass exchange. scientific report, SAC/EPSA/BPSG/IGBP-EMEVS/SR/01/2015.

3. Chaudhari, K. N., Sarkar, C., Patel, N. K., & Parihar J. S. (2006). An intercomparison of satellite based NOAA CPC ranifall estimates and gauge observations. ISPRS symposium on “geospatial data bases for sustainable development” held during September 27–30, 2006 at Goa.

4. DES. (2020). Agriculture statitstics at a glance, 2019. Government of India, Ministry of agriculture and famers welfare, Department of agriculture cooperation and famers welfare, directorate of economics and statistics. www.agricoop.nic.in and http://eands.dacnet.nic.in.

5. Doorenbos, J., & Kassam, A. H. (1979) Yield response to water. FAO irrigation and drainage paper no. 33. Rome, FAO.

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