Search Results for author: Penghai Wu

Found 3 papers, 0 papers with code

A physics-constrained machine learning method for mapping gapless land surface temperature

no code implementations3 Jul 2023 Jun Ma, Huanfeng Shen, Menghui Jiang, Liupeng Lin, Chunlei Meng, Chao Zeng, Huifang Li, Penghai Wu

Specifically, the light gradient-boosting machine (LGBM) model, which uses only remote sensing data as input, serves as the pure ML model.

Generating gapless land surface temperature with a high spatio-temporal resolution by fusing multi-source satellite-observed and model-simulated data

no code implementations29 Nov 2021 Jun Ma, Huanfeng Shen, Penghai Wu, Jingan Wu, Meiling Gao, Chunlei Meng

In this paper, we present an integrated temperature fusion framework for satellite-observed and LSM-simulated LST data to map gapless LST at a 60-m spatial resolution and half-hourly temporal resolution.

A Spatial and Temporal Non-Local Filter Based Data Fusion

no code implementations22 Nov 2016 Qing Cheng, Huiqing Liu, Huanfeng Shen, Penghai Wu, Liangpei Zhang

The spatiotemporal data fusion technique is considered as a cost-effective way to obtain remote sensing data with both high spatial resolution and high temporal frequency, by blending observations from multiple sensors with different advantages or characteristics.

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