Study on the relationship between Sentinel-2 satellite image and rice quality

Yan Wang; Meiqi Gao; Rongping Li; Xiangyu Huang

doi:10.1117/12.3019418

23 January 2024 Study on the relationship between Sentinel-2 satellite image and rice quality

Yan Wang, Meiqi Gao, Rongping Li, Xiangyu Huang

Proceedings Volume 12978, Fourth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2023); 129781W (2024) https://doi.org/10.1117/12.3019418
Event: 2023 4th International Conference on Geology, Mapping and Remote Sensing (ICGMRS 2023), 2023, wuhan, China

Abstract

A variety of vegetation indexes were constructed by using Sentinel-2 satellite remote sensing images, and the correlation analysis was carried out with rice processing quality, appearance quality and cooking and eating quality. It was found that the vegetation index based on remote sensing images could invert the brown rice rate and milled rice rate of rice grains, but the prediction of other grain quality indexes was not ideal.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yan Wang, Meiqi Gao, Rongping Li, and Xiangyu Huang "Study on the relationship between Sentinel-2 satellite image and rice quality", Proc. SPIE 12978, Fourth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2023), 129781W (23 January 2024); https://doi.org/10.1117/12.3019418

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