Articles | Volume 16, issue 8
https://doi.org/10.5194/essd-16-3795-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-16-3795-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Generation of global 1 km all-weather instantaneous and daily mean land surface temperatures from MODIS data
Bing Li
Key Research Institute of Yellow River Civilization and Sustainable Development & Laboratory of Climate Change Mitigation and Carbon Neutrality, Henan University, Zhengzhou 450046, China
Department of Geography, University of Hong Kong, Hong Kong SAR 999077, China
Department of Geography, University of Hong Kong, Hong Kong SAR 999077, China
Guanpeng Dong
Key Research Institute of Yellow River Civilization and Sustainable Development & Laboratory of Climate Change Mitigation and Carbon Neutrality, Henan University, Zhengzhou 450046, China
Xiaobang Liu
The 27th Research Institute of the China Electronics Technology Group Corporation, Zhengzhou 450047, China
School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China
Yufang Zhang
School of Software, Northwestern Polytechnical University, Xi'an 710072, China
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Cited
23 citations as recorded by crossref.
- Increasing compound drought and heatwave events in the Horn of Africa and its effect on agriculture N. Abdelrahim & S. Jin
- Comparative Evaluation of Multi-Source Geospatial Data and Machine Learning Models for Hourly Near-Surface Air Temperature Mapping Z. Yan et al.
- Earth observation and machine-learning–based mapping of 0–1 m soil moisture at 10-cm intervals in a permafrost-affected basin Y. Xiao et al.
- Seamless Reconstruction of MODIS Land Surface Temperature via Multi-Source Data Fusion and Multi-Stage Optimization Y. Tang et al.
- Updates to C-LSAT 2.1 and the development of high-resolution land surface air temperature and diurnal temperature range datasets S. Wei et al.
- Thermal infrared technologies for precision agriculture: A ROSES-guided systematic evidence synthesis on platforms, calibration, and digital analytics A. Manimozhian & A. Chandel
- A Physically Constrained Downscaling Framework for Hourly, All-Sky Land Surface Temperature in Mountainous Regions Y. Li et al.
- Vegetation and permafrost interactions shape soil moisture stratification in marginal permafrost zones Y. Xiao et al.
- Comparison of gap-filling methods for generating landsat-like land surface temperatures under all-weather conditions J. Guo et al.
- Improving GLASS AVHRR-Derived Broadband Thermal-Infrared Emissivity (BBE) Using GLASS MODIS-Derived BBE: A Global Long-Term Study H. Zhu et al.
- Development of downscaling technology for land surface temperature: A case study of Shanghai, China S. Song et al.
- A global mountain long-term monthly mean air temperature dataset from priority-based weighted fusion of multi-source 1-km satellite LST products and in-situ observations W. Zhao et al.
- Temporally dense 100-m land surface temperature retrieval via attention-based super-resolution deep learning T. Rashid & D. Tian
- A Remote Sensing-Based Parameterization Method for Global Maximum Surface Relative Humidity With Energy Balance Multivariable Coupling and XGBoost Model X. Wang et al.
- Vegetation–Climate–Topography coupling in a cold temperate region: Evidence from the Genhe Basin (2000–2019) Y. Xiao et al.
- Seamless 1-km hourly land surface temperature estimation via multi-source data integration and automated machine learning Y. Li et al.
- Comparing daily and 8-day MODIS land surface temperature data for urban heat island assessment using random forest modeling in data-limited regions V. Kporha et al.
- A Two-Step Framework for Generating 0.01°, Hourly, and Gapless Land Surface Temperature J. Ma et al.
- Spatially adaptive estimation of multi-layer soil temperature at a daily time-step across China during 2010–2020 X. Wang et al.
- An Uncertainty-Based Outlier Detection Method for Satellite-Derived Land Surface Temperature Validation Using In Situ Measurements S. Duan et al.
- Synthesis of a global daily average gapless land surface temperature dataset from 2003 to 2018 X. Pan et al.
- Generation of global 1 km daily land surface–air temperature difference and sensible heat flux products from 2000 to 2020 H. Liang et al.
- Impacts of Urban Green Space Fractal on Surface Thermal Environment at Temperature Zone Scale Based on High-Resolution Remote Sensing Images Y. Gong et al.
23 citations as recorded by crossref.
- Increasing compound drought and heatwave events in the Horn of Africa and its effect on agriculture N. Abdelrahim & S. Jin
- Comparative Evaluation of Multi-Source Geospatial Data and Machine Learning Models for Hourly Near-Surface Air Temperature Mapping Z. Yan et al.
- Earth observation and machine-learning–based mapping of 0–1 m soil moisture at 10-cm intervals in a permafrost-affected basin Y. Xiao et al.
- Seamless Reconstruction of MODIS Land Surface Temperature via Multi-Source Data Fusion and Multi-Stage Optimization Y. Tang et al.
- Updates to C-LSAT 2.1 and the development of high-resolution land surface air temperature and diurnal temperature range datasets S. Wei et al.
- Thermal infrared technologies for precision agriculture: A ROSES-guided systematic evidence synthesis on platforms, calibration, and digital analytics A. Manimozhian & A. Chandel
- A Physically Constrained Downscaling Framework for Hourly, All-Sky Land Surface Temperature in Mountainous Regions Y. Li et al.
- Vegetation and permafrost interactions shape soil moisture stratification in marginal permafrost zones Y. Xiao et al.
- Comparison of gap-filling methods for generating landsat-like land surface temperatures under all-weather conditions J. Guo et al.
- Improving GLASS AVHRR-Derived Broadband Thermal-Infrared Emissivity (BBE) Using GLASS MODIS-Derived BBE: A Global Long-Term Study H. Zhu et al.
- Development of downscaling technology for land surface temperature: A case study of Shanghai, China S. Song et al.
- A global mountain long-term monthly mean air temperature dataset from priority-based weighted fusion of multi-source 1-km satellite LST products and in-situ observations W. Zhao et al.
- Temporally dense 100-m land surface temperature retrieval via attention-based super-resolution deep learning T. Rashid & D. Tian
- A Remote Sensing-Based Parameterization Method for Global Maximum Surface Relative Humidity With Energy Balance Multivariable Coupling and XGBoost Model X. Wang et al.
- Vegetation–Climate–Topography coupling in a cold temperate region: Evidence from the Genhe Basin (2000–2019) Y. Xiao et al.
- Seamless 1-km hourly land surface temperature estimation via multi-source data integration and automated machine learning Y. Li et al.
- Comparing daily and 8-day MODIS land surface temperature data for urban heat island assessment using random forest modeling in data-limited regions V. Kporha et al.
- A Two-Step Framework for Generating 0.01°, Hourly, and Gapless Land Surface Temperature J. Ma et al.
- Spatially adaptive estimation of multi-layer soil temperature at a daily time-step across China during 2010–2020 X. Wang et al.
- An Uncertainty-Based Outlier Detection Method for Satellite-Derived Land Surface Temperature Validation Using In Situ Measurements S. Duan et al.
- Synthesis of a global daily average gapless land surface temperature dataset from 2003 to 2018 X. Pan et al.
- Generation of global 1 km daily land surface–air temperature difference and sensible heat flux products from 2000 to 2020 H. Liang et al.
- Impacts of Urban Green Space Fractal on Surface Thermal Environment at Temperature Zone Scale Based on High-Resolution Remote Sensing Images Y. Gong et al.
Saved (final revised paper)
Latest update: 06 May 2026
Short summary
This study describes 1 km all-weather instantaneous and daily mean land surface temperature (LST) datasets on the global scale during 2000–2020. It is the first attempt to synergistically estimate all-weather instantaneous and daily mean LST data on a long global-scale time series. The generated datasets were evaluated by the observations from in situ stations and other LST datasets, and the evaluation indicated that the dataset is sufficiently reliable.
This study describes 1 km all-weather instantaneous and daily mean land surface temperature...
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