Time series analysis of Sentinel 1 A SAR data to retrieve annual rice area maps and long-term dynamics of start of season DOI Creative Commons
S. Pazhanivelan,

Ragunath Kaliaperumal,

D. Muthumanickam

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: March 10, 2025

Abstract Rice is a vital staple crop globally, and accurate estimation of rice area was crucial for effective agricultural management food security. Synthetic Aperture Radar (SAR) data has emerged as valuable remote sensing tool due to its ability penetrate cloud cover capture backscattered signals from fields. The backscatter signature showed minimum dB value at agronomic flooding indicating the Start Season (SoS). parameters viz., values −22.03 −17.69 start season, maximum −16.10 −14.20 peak season coinciding with heading corresponding mean increase 5.07 during growing stages were utilized developing rule-based classification system. estimated over Cauvery Delta Zone Tamil Nadu, India past six years samba (August–January) 2017 2023 using Sentinel 1 A satellite data. maps generated region utilizing parameterization accuracy 88.5 94.5 per cent kappa score 0.77 0.87 study period. total classified in 508,581 ha, 456,601 506,844 511,714 524,723 ha 476,586 2017–18 2022–23, respectively. (SoS) revealed that major planting periods between second fortnight September first November all except 2018 when early happened favorable weather conditions assured water supply. Near real-time information on area, progress derived SAR will facilitate development decision support systems sustaining productivity rice-based ecosystems.

Language: Английский

Time series analysis of Sentinel 1 A SAR data to retrieve annual rice area maps and long-term dynamics of start of season DOI Creative Commons
S. Pazhanivelan,

Ragunath Kaliaperumal,

D. Muthumanickam

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: March 10, 2025

Abstract Rice is a vital staple crop globally, and accurate estimation of rice area was crucial for effective agricultural management food security. Synthetic Aperture Radar (SAR) data has emerged as valuable remote sensing tool due to its ability penetrate cloud cover capture backscattered signals from fields. The backscatter signature showed minimum dB value at agronomic flooding indicating the Start Season (SoS). parameters viz., values −22.03 −17.69 start season, maximum −16.10 −14.20 peak season coinciding with heading corresponding mean increase 5.07 during growing stages were utilized developing rule-based classification system. estimated over Cauvery Delta Zone Tamil Nadu, India past six years samba (August–January) 2017 2023 using Sentinel 1 A satellite data. maps generated region utilizing parameterization accuracy 88.5 94.5 per cent kappa score 0.77 0.87 study period. total classified in 508,581 ha, 456,601 506,844 511,714 524,723 ha 476,586 2017–18 2022–23, respectively. (SoS) revealed that major planting periods between second fortnight September first November all except 2018 when early happened favorable weather conditions assured water supply. Near real-time information on area, progress derived SAR will facilitate development decision support systems sustaining productivity rice-based ecosystems.

Language: Английский

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