Articles | Volume 16, issue 1
https://doi.org/10.5194/essd-16-177-2024
© 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-16-177-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description article
| 
10 Jan 2024
Data description article |
| 10 Jan 2024
| 10 Jan 2024
Global 500 m seamless dataset (2000–2022) of land surface reflectance generated from MODIS products
Xiangan Liang
Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing 100084, China
Qiang Liu
CORRESPONDING AUTHOR
Peng Cheng Laboratory, Shenzhen 518000, China
Jie Wang
Peng Cheng Laboratory, Shenzhen 518000, China
Shuang Chen
Department of Geography, The University of Hong Kong, Hong Kong, China
Peng Gong
Department of Geography, The University of Hong Kong, Hong Kong, China
Institute for Climate and Carbon Neutrality and Department of Earth Sciences, The University of Hong Kong, Hong Kong, China
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Cited
18 citations as recorded by crossref.
- Influence of Terrain on MODIS and GLASS Leaf Area Index (LAI) Products in Qinling Mountains Forests J. Zheng et al. https://doi.org/10.3390/f15111871
- Earth's record-high greenness and its attributions in 2020 Y. Zhang et al. https://doi.org/10.1016/j.rse.2024.114494
- Cross-Attention-Based Spatiotemporal Learning Network for Generating Global-Scale Seamless Soil Moisture X. Xu et al. https://doi.org/10.1109/JSTARS.2026.3699955
- A high-resolution, multi-decadal outgoing longwave radiation product from MODIS: algorithm and product D. Li et al. https://doi.org/10.1080/20964471.2026.2679327
- A Remote Sensing Approach to Spatiotemporal Analysis of Land Surface Temperature in Response to Land Use/Land Cover Change via Cloud Base and Machine Learning Methods, Case Study: Sari Metropolis, Iran Z. Komeh et al. https://doi.org/10.1007/s41742-025-00752-4
- Global 30 m seamless data cube (2000–2022) of land surface reflectance generated from Landsat 5, 7, 8, and 9 and MODIS Terra constellations S. Chen et al. https://doi.org/10.5194/essd-16-5449-2024
- MODIS surface reflectance reconstruction based on an RTLSR inversion strategy with dynamically adjusted multi-surface parameters J. Hu et al. https://doi.org/10.3389/frsen.2025.1611517
- A high-resolution (0.05°) global seamless continuity record (2002–2023) of near-surface soil freeze-thaw states via passive microwave and optical satellite data D. Feng et al. https://doi.org/10.5194/essd-17-6273-2025
- An Insight Into the Internal Consistency of MODIS Global Leaf Area Index Products X. Zhang et al. https://doi.org/10.1109/TGRS.2024.3434366
- Linking Vegetation Phenology to Net Ecosystem Productivity: Climate Change Impacts in the Northern Hemisphere Using Satellite Data H. Yin et al. https://doi.org/10.3390/rs16214101
- ChinaAI-FSC: a comprehensive AI-ready MODIS fractional snow cover dataset for China (2000–2022) J. Hou et al. https://doi.org/10.5194/essd-18-1995-2026
- DDB-YOLO: A lightweight deep learning approach for individual tree crown segmentation from UAV imagery towards high-fidelity vegetation index derivation of rubber tree Y. Gao et al. https://doi.org/10.1016/j.indcrop.2026.122685
- FastVSDF: An Efficient Spatiotemporal Data Fusion Method for Seamless Data Cube C. Xu et al. https://doi.org/10.1109/TGRS.2024.3353758
- China Earth Observation Data Cube: The 30-m Seamless Annual Leaf-On Landsat Composites from 1985 to 2023 Y. Cai et al. https://doi.org/10.34133/remotesensing.0698
- Assessing local to global associations between mining activity and atmospheric dust F. Muneeb et al. https://doi.org/10.1016/j.scitotenv.2026.181971
- An Improved Gap-Filling Method for Reconstructing Dense Time-Series Images from LANDSAT 7 SLC-Off Data Y. Li et al. https://doi.org/10.3390/rs16122064
- Warming effects on spring phenology in New York City parks J. Kong et al. https://doi.org/10.1088/1748-9326/adf1b9
- 8-day multisensor derived biophysical index groups and their ability to explain tree ring growth K. Engelmayer et al. https://doi.org/10.1016/j.srs.2026.100460
18 citations as recorded by crossref.
- Influence of Terrain on MODIS and GLASS Leaf Area Index (LAI) Products in Qinling Mountains Forests J. Zheng et al. https://doi.org/10.3390/f15111871
- Earth's record-high greenness and its attributions in 2020 Y. Zhang et al. https://doi.org/10.1016/j.rse.2024.114494
- Cross-Attention-Based Spatiotemporal Learning Network for Generating Global-Scale Seamless Soil Moisture X. Xu et al. https://doi.org/10.1109/JSTARS.2026.3699955
- A high-resolution, multi-decadal outgoing longwave radiation product from MODIS: algorithm and product D. Li et al. https://doi.org/10.1080/20964471.2026.2679327
- A Remote Sensing Approach to Spatiotemporal Analysis of Land Surface Temperature in Response to Land Use/Land Cover Change via Cloud Base and Machine Learning Methods, Case Study: Sari Metropolis, Iran Z. Komeh et al. https://doi.org/10.1007/s41742-025-00752-4
- Global 30 m seamless data cube (2000–2022) of land surface reflectance generated from Landsat 5, 7, 8, and 9 and MODIS Terra constellations S. Chen et al. https://doi.org/10.5194/essd-16-5449-2024
- MODIS surface reflectance reconstruction based on an RTLSR inversion strategy with dynamically adjusted multi-surface parameters J. Hu et al. https://doi.org/10.3389/frsen.2025.1611517
- A high-resolution (0.05°) global seamless continuity record (2002–2023) of near-surface soil freeze-thaw states via passive microwave and optical satellite data D. Feng et al. https://doi.org/10.5194/essd-17-6273-2025
- An Insight Into the Internal Consistency of MODIS Global Leaf Area Index Products X. Zhang et al. https://doi.org/10.1109/TGRS.2024.3434366
- Linking Vegetation Phenology to Net Ecosystem Productivity: Climate Change Impacts in the Northern Hemisphere Using Satellite Data H. Yin et al. https://doi.org/10.3390/rs16214101
- ChinaAI-FSC: a comprehensive AI-ready MODIS fractional snow cover dataset for China (2000–2022) J. Hou et al. https://doi.org/10.5194/essd-18-1995-2026
- DDB-YOLO: A lightweight deep learning approach for individual tree crown segmentation from UAV imagery towards high-fidelity vegetation index derivation of rubber tree Y. Gao et al. https://doi.org/10.1016/j.indcrop.2026.122685
- FastVSDF: An Efficient Spatiotemporal Data Fusion Method for Seamless Data Cube C. Xu et al. https://doi.org/10.1109/TGRS.2024.3353758
- China Earth Observation Data Cube: The 30-m Seamless Annual Leaf-On Landsat Composites from 1985 to 2023 Y. Cai et al. https://doi.org/10.34133/remotesensing.0698
- Assessing local to global associations between mining activity and atmospheric dust F. Muneeb et al. https://doi.org/10.1016/j.scitotenv.2026.181971
- An Improved Gap-Filling Method for Reconstructing Dense Time-Series Images from LANDSAT 7 SLC-Off Data Y. Li et al. https://doi.org/10.3390/rs16122064
- Warming effects on spring phenology in New York City parks J. Kong et al. https://doi.org/10.1088/1748-9326/adf1b9
- 8-day multisensor derived biophysical index groups and their ability to explain tree ring growth K. Engelmayer et al. https://doi.org/10.1016/j.srs.2026.100460
Saved (final revised paper)
Latest update: 07 Sep 2026
Short summary
The state-of-the-art MODIS surface reflectance products suffer from temporal and spatial gaps, which make it difficult to characterize the continuous variation of the terrestrial surface. We proposed a framework for generating the first global 500 m daily seamless data cubes (SDC500), covering the period from 2000 to 2022. We believe that the SDC500 dataset can interest other researchers who study land cover mapping, quantitative remote sensing, and ecological science.
The state-of-the-art MODIS surface reflectance products suffer from temporal and spatial gaps,...
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