Characterization of Dry-Season Phenology in Tropical Forests by Reconstructing Cloud-Free Landsat Time Series

Fine-resolution satellite imagery is needed for characterizing dry-season phenology in tropical forests since many tropical forests are very spatially heterogeneous due to their diverse species and environmental background. However, fine-resolution satellite imagery, such as Landsat, has a 16-day re...

書誌詳細
出版年:	Remote Sensing
主要な著者:	Xiaolin Zhu, Eileen H. Helmer, David Gwenzi, Melissa Collin, Sean Fleming, Jiaqi Tian, Humfredo Marcano-Vega, Elvia J. Meléndez-Ackerman, Jess K. Zimmerman
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2021-11-01
主題:	Landsat time series tropical forests phenology dry season PhenoCam
オンライン･アクセス:	https://www.mdpi.com/2072-4292/13/23/4736

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