Synthesizing Landsat images using time series model-fitting methods for China’s coastal areas against sparse and irregular observations

Long historical records and free accessibility have made Landsat data valuable for time-series analysis. However, Landsat time-series analysis is restricted for coastal areas due to the lack of sufficient numbers of clear images. The generation of synthetic Landsat images using model-fitting methods...

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Detalhes bibliográficos

Principais autores:	Chao Sun, Jialin Li, Yongchao Liu, Tingting Pan, Ke Shi, Xinyao Cai
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Taylor & Francis Group 2024-12-01
coleção:	GIScience & Remote Sensing
Assuntos:	Landsat time series model fitting sparse and irregular observations fake clouds
Acesso em linha:	https://www.tandfonline.com/doi/10.1080/15481603.2024.2421574
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