Rice growth vegetation index 2 for improving estimation of rice plant phenology in costal ecosystems

Rice growth vegetation index 2 for improving estimation of rice plant phenology in costal ecosystems

Автор: Choudhary Komal, Shi Wen-Zhong John, Dong Yanni

Журнал: Компьютерная оптика @computer-optics

Рубрика: Обработка изображений, распознавание образов

Статья в выпуске: 3 т.45, 2021 года.

Бесплатный доступ

Crop growth is one of the most important parameters of a crop and its knowledge before harvest is essential to help farmers, scientists, governments and agribusiness. This paper provides a novel demonstration of the use of freely available Sentinel-2 data to estimate rice crop growth in a single year. Sentinel 2 data provides frequent and consistent information to facilitate coastal monitoring from field scales. The aims of this study were to modify the rice growth vegetation index to improve rice growth phenology in the coastal areas. The rice growth vegetation index 2 is the best vegetation index, compared with 11 vegetation indices, plant height and biomass. The results demonstrate that the coefficient of rice growth vegetation index 2 was 0.83, has the highest correlation with plant height. Rice growth vegetation index 2 is more appropriate for enhancing and obtaining rice phenology information. This study analyses the best spectral vegetation indices for estimating rice growth.

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Crop growth, spectral indices, phenology, rice growth vegetation index 2

Короткий адрес: https://sciup.org/140257406

IDR: 140257406   |   DOI: 10.18287/2412-6179-CO-827

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