Spatially continuous and high-resolution land surface temperature product generation: A review of reconstruction and spatiotemporal fusion techniques

P Wu, Z Yin, C Zeng, SB Duan… - … and Remote Sensing …, 2021 - ieeexplore.ieee.org
Remotely sensed land surface temperature (LST) with spatial continuity and high
spatiotemporal resolution (hereafter referred to as high resolution) is a crucial parameter for …

[HTML][HTML] Assessing and predicting land use/land cover, land surface temperature and urban thermal field variance index using Landsat imagery for Dhaka Metropolitan …

AA Kafy, A Al Rakib, KS Akter, DMA Jahir… - Environmental …, 2021 - Elsevier
Climate change is occurring because of an increase in greenhouse gases such as carbon
dioxide, methane, and others, which act as a partial blanket for the planet and store solar …

Generation of MODIS-like land surface temperatures under all-weather conditions based on a data fusion approach

D Long, L Yan, L Bai, C Zhang, X Li, H Lei… - Remote Sensing of …, 2020 - Elsevier
Land surface temperature (LST) is among the most important variables in monitoring land
surface processes. LST is often retrieved from thermal infrared remote sensing data, which …

Modelling the impacts of land use/land cover changing pattern on urban thermal characteristics in Kuwait

AE AlDousari, AA Kafy, M Saha, MA Fattah… - Sustainable Cities and …, 2022 - Elsevier
Rapid urbanization owing to population growth and economic development has made
thermal environment-related studies increasingly prominent. This study aims to monitor and …

[HTML][HTML] The shadow effect on surface biophysical variables derived from remote sensing: a review

SK Alavipanah, M Karimi Firozjaei, A Sedighi… - Land, 2022 - mdpi.com
In remote sensing (RS), shadows play an important role, commonly affecting the quality of
data recorded by remote sensors. It is, therefore, of the utmost importance to detect and …

A two-step deep learning framework for map** gapless all-weather land surface temperature using thermal infrared and passive microwave data

P Wu, Y Su, S Duan, X Li, H Yang, C Zeng, X Ma… - Remote Sensing of …, 2022 - Elsevier
Blending data from thermal infrared (TIR) and passive microwave (PMW) measurements is a
promising solution for generating the all-weather land surface temperature (LST). However …

Reconstruction of land surface temperature under cloudy conditions from Landsat 8 data using annual temperature cycle model

X Zhu, SB Duan, ZL Li, P Wu, H Wu, W Zhao… - Remote Sensing of …, 2022 - Elsevier
Land surface temperature (LST) is an important parameter in the processes of energy
exchange and water cycle between the land surface and the atmosphere. The impact of …

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

J Ma, H Shen, P Wu, J Wu, M Gao, C Meng - Remote Sensing of …, 2022 - Elsevier
Land surface temperature (LST) is a key parameter when monitoring land surface
processes. However, cloud contamination and the tradeoff between the spatial and temporal …

Estimation of all-sky 1 km land surface temperature over the conterminous United States

B Li, S Liang, X Liu, H Ma, Y Chen, T Liang… - Remote Sensing of …, 2021 - Elsevier
Land surface temperature (LST) is a crucial parameter for hydrology, climate monitoring, and
ecological and environmental research. LST products from thermal infrared (TIR) satellite …

Global seamless and high-resolution temperature dataset (GSHTD), 2001–2020

R Yao, L Wang, X Huang, Q Cao, J Wei, P He… - Remote Sensing of …, 2023 - Elsevier
Land surface temperature (Ts) and near-surface air temperature (Ta) are key parameters in
multiple research fields. In this study, a global seamless (without missing values) and high …