Poverty Estimation Using a ConvLSTM-Based Model With Multisource Remote Sensing Data: A Case Study in Nigeria

Poverty is a global challenge, the effects of which are felt on the individual to national scale. To develop effective support policies to reduce poverty, local governments require precise poverty distribution data, which are lacking in many areas. In this study, we proposed a model to estimate pove...

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Autori principali:	Jie Tang, Xizhi Zhao, Fuhao Zhang, Agen Qiu, Kunwang Tao
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	IEEE 2024-01-01
Serie:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Soggetti:	Convolutional long short-term memory (convLSTM) Nigeria nighttime light (NTL) poverty time-series features
Accesso online:	https://ieeexplore.ieee.org/document/10399646/
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