The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLII-3/W6
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3/W6, 73–77, 2019
https://doi.org/10.5194/isprs-archives-XLII-3-W6-73-2019
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3/W6, 73–77, 2019
https://doi.org/10.5194/isprs-archives-XLII-3-W6-73-2019

  26 Jul 2019

26 Jul 2019

RICE CROP MONITORING USING SENTINEL-1 C-BAND DATA

C. Dineshkumar1 and J. Satishkumar2 C. Dineshkumar and J. Satishkumar
  • 1Remote Sensing and GIS, SRM Institute of Science and Technology, Chennai, India
  • 2Department of Civil Engineering, SRM Institute of Science and Technology, Chennai, India

Keywords: rice, sentinel-l, phenology, rice monitoring, back scattering

Abstract. Among the cereal grains, rice is staple food for ½ of the world population. In Asian countries as population increases, the demand for rice also increases. For this future demand rice, biophysical variables are monitored for agricultural management and yield prediction using space borne satellite platform. While in satellite remote sensing there are numerous trouble in mapping and monitoring rice field, particularly in multi season paddy in rainy season, incorporating the changes in crop phenology, the impact of climate and farmland variability. To determine these issues Sentinel-1 was launched and provide opportunity to monitor rice crop, in 10 m spatial resolution, C-band, dual polarization image with 12 days revisit. A rice field in Kulithalai, Tamilnadu is utilized as examination. In this study Sentinel-1 data, which can recognize little vegetation difference at firmly found ground truth (GT) point. While observing the different growing stages of rice, the volume scattering segment proportion was increased though the surface scattering segment proportion for the most part diminished. During rice growing stages, surface scattering component ratio decreased, while volume scattering ratio will be increased. This study describes how multi temporal observation by SAR has extent capacity for estimating rice growing land and monitoring growing stages and also interpret σ0VV and σ0VH back scattering co-efficient. These are examined by knowing crop parameters like leaf area index, plant height, no. of panicle/m2 and no. of grains/m2.