Analysis of Rice Crop Phenology Using Sentinel-1 and Sentinel-2 Satellite Data (original) (raw)
2020, Lecture Notes in Civil Engineering
Present study explains the analysis of rice crop phenology using optical and SAR C-band of sentinel satellite data. Rice crop phenology is understood and analyzed based on various backscattered polarization. It will be useful to estimate crop acreage when the optical sensors data is not available or with cloud cover. The study also gives information of various stages of rice crop starting from sowing to the harvesting stage, along with NDVI and soil moisture data from SOMS. Keywords Rice crop • Phenology • NDVI • Soil moisture • Sentinel 1 Introduction Rice is the staple food for 60% of the world's population. India is the world's second largest producer, and on an average, it produces about 106.5 million tons yearly. Analysis of rice crop phenology through ground measurement is usually time taking process, and hence, it can be acquired through remote sensing. The rice crop is grown in three stages-vegetative, reproductive and ripening stages [1]. Figure 1 shows the transplantation of rice phenology stages. Remote sensing analysis is the most suitable way for the estimation of rice crop yield, and it is low cost-effective to detect the large area crop classification, cropping pattern with temporal resolution. Change detection in the crops can be identified due to the growth in the physical characteristics of the plants. Different species of rice crop has its own changes in height, crop canopy cover, biomass, water intake, maturity stages and even in cropping pattern [2].
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