ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa


Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2019, Vol. 16, No. 5, pp. 159-173

Development of satellite monitoring methods for sugarcane crop condition assessment in Peninsular India

E.S. Elkina 1 , V.A. Egorov 1 , D.E. Plotnikov 1 , E.V. Samofal 1 , S.А. Bartalev 1 , V.C. Patil 2 , J.К. Sunil 2 , V.C. Chavan 3 
1 Space Research Institute RAS, Moscow, Russia
2 K.J. Somaiya Institute of Applied Agricultural Research, Sameerwadi, India
3 K.J. Somaiya Institute of Engineering and Information Technology, Mumbai, India
Accepted: 28.06.2019
DOI: 10.21046/2070-7401-2019-16-5-159-173
This study explores the possibilities of sugarcane identification on satellite imagery in Peninsular India and its crop condition assessment in terms of water and nitrogen nutrition status. Sugarcane monitoring is an important objective for a number of countries in the tropical and subtropical regions, however, there is no single set of methodological approaches to its solution. Progress in this field of research requires the studying of sugarcane spectral and biophysical characteristics and developing satellite data processing methods. The literature on the application of remote sensing to sugarcane monitoring is reviewed and the main difficulties and advantages for sugarcane satellite monitoring are highlighted. From preliminary experiments of sugarcane identification, it can be concluded that high-resolution satellite data give satisfactory results. The team of K. J. Somaiya Institute of Engineering and Information Technology conducted ground truth data collection in the test area as a preliminary step of the studies. The data collected on different crops were used for creating training and validation sets. Time-series of optical (Sentinel-2) and radar (Sentinel-1) vegetation indices were created to perform temporal-spectral analysis of sugarcane crops in comparison with other major crops in the region. Studies of phenological and spectral temporal sugarcane crops characteristics showed that the length of vegetation period and the level of the accumulated biomass may be the informative metrics for sugarcane discrimination from other crops in satellite imagery. For the crop condition assessment in terms of water and nitrogen nutrition status, ground experiments are proposed with further evaluation of information value of satellite crop condition indicators. Web-based vegetation monitoring service Vega-GEOGLAM, developed at the Space Research Institute RAS, is viewed as a technical platform for the studies.
Keywords: sugarcane, satellite monitoring, Sentinel, crop identification, crop condition assessment, Vega-GEOGLAM, vegetation indices
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