Rice Mapping and Various Stages of Rice Growth using Sentinel-1 SAR Data-A case study of Mahabubnagar District, Telangana
Aloshree Choudhury1, Vazeer Mahammood2, K. H. V. Durga Rao3

1Aloshree Choudhury, National Remote Sensing Centre NRSC, ISRO, Hyderabad (Telangana), India.
2Dr. Vazeer Mahammood, Department of Civil Engineering, Andhra University, Visakhapatnam (A.P.), India.
3Dr. K. H. V. Durga Rao, National Remote Sensing Centre NRSC, ISRO, Hyderabad (Telangana), India.
Manuscript received on 07 August 2022 | Revised Manuscript received on 29 August 2022 | Manuscript Accepted on 15 September 2022 | Manuscript published on 30 September 2022 | PP: 97-100 | Volume-11 Issue-3, September 2022 | Retrieval Number: 100.1/ijrte.C72590911322 | DOI: 10.35940/ijrte.C7259.0911322
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Space Based technology both optical and microwave SAR Data is used to monitor the Earth at regular intervals which has its application in various fields viz., agriculture, water, urban and so on. Synthetic Aperture Radar (SAR) has its advantage to penetrate through clouds, day-night imaging, all weather conditions and high resolution making it an effective system for crop monitoring, especially during Monsoon Season, as Optical Sensors doesn’t provide cloud free data. Sentinel-1 data has been used in recent studies to map and monitor rice-growing areas. The Sentinel-1 IW GRD data were used to monitor the ricegrowing area over Mahabubnagar District of Telangana State, which was processed in SNAP Software. Few plots were selected by conducting field survey during Kharif 2021. The Radar Vegetation Index (RVI) have been used to monitor the fluctuations in various stages of rice growth. This paper explains how multi temporal SAR observations can be used to monitor rice growing stages, as well as how to interpret σ°VHand σ° VV back scattering co-efficient. 
Keywords: SAR, Backscattering, Polarization, Sigma Naught, Radar Vegetation Index 
Scope of the Article: Remote Sensing