Satellite-Based Nitrogen Uptake Evaluation in Rice Cultivation

This research illustrates the efficacy of utilizing Sentinel-2 and Sentinel-1 satellite data to evaluate nitrogen uptake. In 2023, nine rice plots in Suphan Buri Province, Thailand were chosen as study areas. The ground-based nitrogen uptake from plant samples at the panicle initiation stage was used to develop model with several satellite indices. The result indicated that the Modified Soil Adjusted Vegetation Index (MCARI) from Sentinel-2 showed good performance with the R2 of 0.748 and RMSE of 16.614 kg/ha. On the other hand, Sentinel-1’ s Dual Polarization SAR Vegetation Index (DPSVI) showed more accuracy with R2 of 0.814 and RMSE of 13.678 kg/ha. The research confirms that satellite data can efficiently evaluate nitrogen levels in rice fields and enable the delineation of nitrogen content-rich regions, reducing the time and resources required for field surveys.

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Published
2024-12-11
DOI
https://doi.org/10.1109/gis-ideas63212.2024.10991092
Primary Topic
Rice Cultivation and Yield Improvement
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article
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article

Satellite-Based Nitrogen Uptake Evaluation in Rice Cultivation

Nuntikorn Kitratporn, Phaisarn Jeefoo, Sawarin Lerk-U-Suke, Sukij Skawsang et al.
Rice Cultivation and Yield Improvement
article

Satellite-Based Nitrogen Uptake Evaluation in Rice Cultivation

Nuntikorn Kitratporn, Phaisarn Jeefoo, Sawarin Lerk-U-Suke, Sukij Skawsang, Porutai Thianthai, Panu Nuangjamnong
article en

Abstract

This research illustrates the efficacy of utilizing Sentinel-2 and Sentinel-1 satellite data to evaluate nitrogen uptake. In 2023, nine rice plots in Suphan Buri Province, Thailand were chosen as study areas. The ground-based nitrogen uptake from plant samples at the panicle initiation stage was used to develop model with several satellite indices. The result indicated that the Modified Soil Adjusted Vegetation Index (MCARI) from Sentinel-2 showed good performance with the R2 of 0.748 and RMSE of 16.614 kg/ha. On the other hand, Sentinel-1’ s Dual Polarization SAR Vegetation Index (DPSVI) showed more accuracy with R2 of 0.814 and RMSE of 13.678 kg/ha. The research confirms that satellite data can efficiently evaluate nitrogen levels in rice fields and enable the delineation of nitrogen content-rich regions, reducing the time and resources required for field surveys.

National Science and Technology Development Agency (TH), University of Phayao (TH)
Zero hunger
Openalex Percentile: Top 83%
Rice Cultivation and Yield Improvement
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Satellite-Based Nitrogen Uptake Evaluation in Rice Cultivation — Nuntikorn Kitratporn, Phaisarn Jeefoo, et al. · (2024) | TGRS Research Map | TGRS