Rice Phenology Classification Model Based on Sentinel-1 Using Machine Learning Method on Google Earth Engine

Rice Phenology Classification Model Based on Sentinel-1 Using Machine Learning Method on Google Earth Engine

Rice phenology information is important in supporting planning systems, land management, and making the right decisions to sustainably carry out rice production. This study aimed to determine the best rice phenology classification model by combining VV and VH polarizations on Sentinel-1 images, whic...

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Bibliographic Details
Main Authors:	Hengki Muradi, Dede Dirgahayu Domiri, I Made Parsa, I Kadek Yoga, Alhadi Bustamam, Anisa Rarasati, Sri Harini, R. Johannes Manalu, Mokhamad Subehi
Format:	Article
Language:	English
Published:	Taylor & Francis Group 2024-12-01
Series:	Canadian Journal of Remote Sensing
Online Access:	http://dx.doi.org/10.1080/07038992.2024.2368036
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