Estimation of paddy area in Thanjavur district using sentinel-2 satellite data

Paddy cultivation plays a crucial role in food security and agricultural sustainability, particularly in regions like Thanjavur, Tamil Nadu, known as the "Rice Bowl of India." This study employs Sentinel-2 satellite imagery to assess paddy cultivation in Thanjavur district, leveraging remote sensing and GIS techniques. Ground truth data were integrated for validation, ensuring reliable results. The findings indicate a high accuracy in paddy area estimation, demonstrating the efficacy of Sentinel-2 data in large-scale agricultural assessments. The district-wide paddy area was estimated to be 22246.01 hectares, with notable variations in distribution across the 14 blocks. The classification accuracy, assessed through confusion matrix achieved a commendable overall accuracy of 90.9%, indicating that optical remote sensing techniques provide reliable results for large-scale agricultural monitoring.

Authors

Publication Details

Journal
International Journal of Advanced Biochemistry Research
Published
2025-05-01
DOI
https://doi.org/10.33545/26174693.2025.v9.i5sc.4412
Primary Topic
Remote Sensing in Agriculture
Type
article
Field-Weighted Citation Impact
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article

Estimation of paddy area in Thanjavur district using sentinel-2 satellite data

R. Kumaraperumal, S Pazhanivelan, Sugavaneshwaran Kannan, Ragunath Kaliaperumal et al.
International Journal of Advanced Biochemistry Research
Remote Sensing in Agriculture
article

Estimation of paddy area in Thanjavur district using sentinel-2 satellite data

R. Kumaraperumal, S Pazhanivelan, Sugavaneshwaran Kannan, Ragunath Kaliaperumal, K. Sivakumar
article en

Abstract

Paddy cultivation plays a crucial role in food security and agricultural sustainability, particularly in regions like Thanjavur, Tamil Nadu, known as the "Rice Bowl of India." This study employs Sentinel-2 satellite imagery to assess paddy cultivation in Thanjavur district, leveraging remote sensing and GIS techniques. Ground truth data were integrated for validation, ensuring reliable results. The findings indicate a high accuracy in paddy area estimation, demonstrating the efficacy of Sentinel-2 data in large-scale agricultural assessments. The district-wide paddy area was estimated to be 22246.01 hectares, with notable variations in distribution across the 14 blocks. The classification accuracy, assessed through confusion matrix achieved a commendable overall accuracy of 90.9%, indicating that optical remote sensing techniques provide reliable results for large-scale agricultural monitoring.

International Journal of Advanced Biochemistry ResearchVol. 9(5S)
Zero hunger
Openalex Percentile: Top 89%
Remote Sensing in Agriculture
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Estimation of paddy area in Thanjavur district using sentinel-2 satellite data — R. Kumaraperumal, S Pazhanivelan, et al. · International Journal of Advanced Biochemistry Research (2025) | TGRS Research Map | TGRS