Deep transfer learning-based estimation of crop fractional vegetation cover at high spatiotemporal resolution using moderate-resolution satellite products

Fractional vegetation cover (FVC) is an essential parameter for assessing crop growth status and supporting precision agricultural management. Moderate-resolution FVC products support large-scale monitoring but lack field-scale spatial detail. High-resolution satellite imagery offers the potential t...

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Detalhes bibliográficos

Principais autores:	Yirui Liu, Yanling Ding, Xingming Zheng, Zhuo Wu, Bingze Li, Chi Xu, Zirui Liu, Shengmei Feng, Qiaoyun Xie
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Taylor & Francis Group 2026-02-01
coleção:	Geo-spatial Information Science
Assuntos:	Fractional vegetation cover (FVC) long short-term memory bidirectional long short-term memory (LSTM) transfer learning moderate resolution FVC products Sentinel-2
Acesso em linha:	https://www.tandfonline.com/doi/10.1080/10095020.2026.2624280
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