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Title: Rice growth vegetation index 2 for improving estimation of rice plant phenology in costal ecosystems
Authors: Choudhary, K 
Shi, WZJ 
Dong, Y 
Issue Date: 2021
Source: Computer optics, 2021, v.45, no. 3, p.438-448
Abstract: Crop growth is one of the most important parameters of a crop and its knowledge before har-vest 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 ob-taining rice phenology information. This study analyses the best spectral vegetation indices for estimating rice growth.
Keywords: Crop growth
Phenology
Rice growth vegetation index 2
Spectral indices
Publisher: Samarskii Natsional'nyi Issledovatel'skii Universitet imeni Akademika S.P. Koroleva
Journal: Computer optics 
ISSN: 0134-2452
EISSN: 2412-6179
DOI: 10.18287/2412-6179-CO-827
Rights: Content is licensed under a Creative Commons Attribution 4.0 International License (Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/) The following publicationChoudhary K, Shi W, Dong Y. Rice growth vegetation index 2 for improving estimation of rice plant phenology in costal ecosystems. Computer Optics 2021; 45(3): 438-448 is available at https://dx.doi.org/10.18287/2412-6179-CO-827
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