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Journals / Türkiye Uzaktan Algılama Dergisi / 2025 / Volume: 7 Issue: 2

Multi-year paddy planting acreage estimation based on SAR and MODIS satellite data

Pritam K Meshram(Graphic Era)0000-0003-1555-2644
Kishan Singh Rawat(graphic era)0000-0001-5900-8195
Sudhir Kumar Singh(university of Allahabad)0000-0001-8465-0649
Pages
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Publication Date
2025-12-30
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Sentinel-1 SAR (VH polarization) showed better accuracy than MODIS NDVI in identifying paddy fields, with an 84.7% to 86.4% (k value 0.80 – 0.82) overall accuracy compared to 67.2% - 71.3% (k value 0.58 - 0.61) for MODIS NDVI.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Precise and immediate details about paddy planting areas are crucial for agricultural planning, management of water resources, and yield estimation.
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Key Findings & Data:The aim was to use multi-year Sentinel-1 SAR and MODIS-NDVI to estimate paddy planting acreage in the high rainfall zone of eastern Maharashtra, India.
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Conclusion & Impact:Sentinel-1 SAR (VH polarization) showed better accuracy than MODIS NDVI in identifying paddy fields, with an 84.7% to 86.4% (k value 0.80 – 0.82) overall accuracy compared to 67.2% - 71.3% (k value 0.58 - 0.61) for MODIS NDVI.
🔬Design:Research Article
📍Scope:2020-2022 Verileri
⚙️Variables:SAR · MODIS · SNAP

Abstract

Precise and immediate details about paddy planting areas are crucial for agricultural planning, management of water resources, and yield estimation. The aim was to use multi-year Sentinel-1 SAR and MODIS-NDVI to estimate paddy planting acreage in the high rainfall zone of eastern Maharashtra, India. In this study, satellite data was analyzed for the period of 2020-2022, during the paddy growing season (June-November) using a random forest classifier to distinguish between paddy and non-paddy pixels. Sentinel-1 SAR (VH polarization) showed better accuracy than MODIS NDVI in identifying paddy fields, with an 84.7% to 86.4% (k value 0.80 – 0.82) overall accuracy compared to 67.2% - 71.3% (k value 0.58 - 0.61) for MODIS NDVI. However, MODIS NDVI was better at mapping the morphology of the fields. The study suggests that Sentinel-1 SAR (VH polarization) can be used effectively in cloud-prone areas to monitor paddy transplantation and acreage estimation, compensating for the missing data caused by clouds and rain.

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Cite This Article

Meshram, P. K., Rawat, K. S., Singh, S. K. (2025). Multi-year paddy planting acreage estimation based on SAR and MODIS satellite data. Türkiye Uzaktan Algılama Dergisi, Volume: 7 Issue: 2. https://doi.org/10.51489/tuzal.1704187

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