A review of remote sensing image spatiotemporal fusion: Challenges, applications and recent trends

J ** PM2. 5 distribution in China: Methods and assessment
T Li, H Shen, C Zeng, Q Yuan, L Zhang - Atmospheric Environment, 2017 - Elsevier
Abstract Fine particulate matter (PM 2.5, particulate matters with aerodynamic diameters less
than 2.5 μ m) is associated with adverse human health effects, and China is currently …

Integrated fusion of multi-scale polar-orbiting and geostationary satellite observations for the map** of high spatial and temporal resolution land surface temperature

P Wu, H Shen, L Zhang, FM Göttsche - Remote Sensing of Environment, 2015 - Elsevier
Land surface temperature (LST) and its diurnal variation are important when evaluating
climate change, the land–atmosphere energy budget, and the global hydrological cycle …

Spatiotemporal patterns of summer urban heat island in Bei**g, China using an improved land surface temperature

X Liu, Y Zhou, W Yue, X Li, Y Liu, D Lu - Journal of Cleaner Production, 2020 - Elsevier
Urban heat island (UHI) is a major urban ecological environment issue, and it requires to be
comprehensively understood from the perspective of temporal changes. This study …

Spatiotemporal fusion of land surface temperature based on a convolutional neural network

Z Yin, P Wu, GM Foody, Y Wu, Z Liu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Due to the tradeoff between spatial and temporal resolutions commonly encountered in
remote sensing, no single satellite sensor can provide fine spatial resolution land surface …

An integrated model for generating hourly Landsat-like land surface temperatures over heterogeneous landscapes

J Quan, W Zhan, T Ma, Y Du, Z Guo, B Qin - Remote Sensing of …, 2018 - Elsevier
The trade-off between spatial and temporal resolutions in remote sensing has greatly limited
the availability of concurrently high spatiotemporal land surface temperature (LST) data for …

A two-step framework for reconstructing remotely sensed land surface temperatures contaminated by cloud

C Zeng, D Long, H Shen, P Wu, Y Cui… - ISPRS Journal of …, 2018 - Elsevier
Land surface temperature (LST) is one of the most important parameters in land surface
processes. Although satellite-derived LST can provide valuable information, the value is …