Improved mapping of highland bamboo forests using Sentinel-2 time series and machine learning in Google Earth Engine

Recent advances in the application of spectral bands from satellite observations and machine learning algorithms (MLA) in the Google Earth Engine (GEE) cloud-computing platform have been demonstrated to enhance the accuracy of mapping forest resources. This study presents a novel method for mapping...

詳細記述

書誌詳細

主要な著者:	Dagnew Yebeyen, Binyam Tesfaw Hailu, Worku Zewdie, Temesgen Abera, Gudeta W. Sileshi, Melaku Getachew, Sileshi Nemomissa
フォーマット:	Artigo
言語:	Inglês
出版事項:	Taylor & Francis Group 2024-01-01
シリーズ:	Geocarto International
主題:	Afromontane forests cloud computing Oldeania alpina land cover classification machine learning remote sensing
オンライン･アクセス:	https://www.tandfonline.com/doi/10.1080/10106049.2024.2364680
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