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20162025
most citedMissing Data Reconstruction in Remote Sensing image with a Unified Spatial-Temporal-Spectral Deep Convolutional Neural Network

413 citations · 970 across the 8 of their papers we have counts for

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6 papers · 1 filter

physics.ao-ph2025

A Mechanism-Coupled Split Window Network for Medium- to High-Resolution Land Surface Temperature Retrieval

Tian Xie, Menghui Jiang, Chao Zeng +4

Land surface temperature (LST) is a fundamental physical variable in land-atmosphere interactions, surface energy budgets, and climate processes. LST derived from medium- to high-r…

physics.ao-ph2025★ 2 cited

A Mechanism-Learning Deeply Coupled Model for Remote Sensing Retrieval of Global Land Surface Temperature

Tian Xie, Menghui Jiang, Huanfeng Shen +5

Land surface temperature (LST) retrieval from remote sensing data is pivotal for analyzing climate processes and surface energy budgets. However, LST retrieval is an ill-posed inve…

physics.ao-ph2023

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

Jun Ma, Huanfeng Shen, Menghui Jiang +5

More accurate, spatio-temporally, and physically consistent LST estimation has been a main interest in Earth system research. Developing physics-driven mechanism models and data-dr…

physics.ao-ph2020★ 5 cited

Deep learning-based air temperature mapping by fusing remote sensing, station, simulation and socioeconomic data

Huanfeng Shen, Yun Jiang, Tongwen Li +3

Air temperature (Ta) is an essential climatological component that controls and influences various earth surface processes. In this study, we make the first attempt to employ deep…

physics.ao-ph2019★ 151 cited

Spatially Continuous and High-resolution Land Surface Temperature: A Review of Reconstruction and Spatiotemporal Fusion Techniques

Penghai Wu, Zhixiang Yin, Chao Zeng +6

Remotely sensed, spatially continuous and high spatiotemporal resolution (hereafter referred to as high resolution) land surface temperature (LST) is a key parameter for studying t…

physics.ao-ph2016★ 232 cited

Point-surface fusion of station measurements and satellite observations for mapping PM2.5 distribution in China: methods and assessment

Tongwen Li, Huanfeng Shen, Chao Zeng +2

Fine particulate matter (PM2.5) is associated with adverse human health effects, and China is currently suffering from serious PM2.5 pollution. To obtain spatially continuous groun…