Articles | Volume 16, issue 11
https://doi.org/10.5194/essd-16-5449-2024
© 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-16-5449-2024
© 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
| 
28 Nov 2024
Data description article |
| 28 Nov 2024
| 28 Nov 2024
Global 30 m seamless data cube (2000–2022) of land surface reflectance generated from Landsat 5, 7, 8, and 9 and MODIS Terra constellations
Shuang Chen
Department of Geography, The University of Hong Kong, Hong Kong SAR, China
Jie Wang
CORRESPONDING AUTHOR
Pengcheng Laboratory, Shenzhen 518000, China
Qiang Liu
Pengcheng Laboratory, Shenzhen 518000, China
Xiangan Liang
Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing 100084, China
Rui Liu
Department of Geography, The University of Hong Kong, Hong Kong SAR, China
Peng Qin
School of Geospatial Engineering and Science, Sun Yat-sen University, Guangzhou 510275, China
Jincheng Yuan
Pengcheng Laboratory, Shenzhen 518000, China
Junbo Wei
Pengcheng Laboratory, Shenzhen 518000, China
Shuai Yuan
Department of Geography, The University of Hong Kong, Hong Kong SAR, China
Huabing Huang
Pengcheng Laboratory, Shenzhen 518000, China
School of Geospatial Engineering and Science, Sun Yat-sen University, Guangzhou 510275, China
Peng Gong
CORRESPONDING AUTHOR
Department of Geography, The University of Hong Kong, Hong Kong SAR, China
Department of Earth Sciences, The University of Hong Kong, Hong Kong SAR, China
Institute for Climate and Carbon Neutrality, The University of Hong Kong, Hong Kong SAR, China
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Cited
17 citations as recorded by crossref.
- MosaicFormer: A Novel Approach to Remote Sensing Spatiotemporal Data Fusion for Lake Water Monitors D. Zheng & A. Lv
- GCT-GF: A generative CNN-transformer for multi-modal multi-temporal gap-filling of surface water probability Y. Song et al.
- An Efficient Approach Integrating Sentinel-1 and Sentinel-2 Imagery for Mapping Permanent and Seasonal Water Area Y. Zhang et al.
- Spectral and spatial harmonization of Landsat ETM+, OLI, and Sentinel-2 MSI using time-series harmonic analysis and blur kernel estimation S. Chen et al.
- An improved ROBust OpTimization-based (iROBOT) fusion model for reliable spatiotemporal seamless remote sensing data reconstruction D. Guo et al.
- Integrating flux footprint, random forest, and SHAP for interpretable hourly carbon flux upscaling: Development and application in the Qilian mountains watershed J. An et al.
- China Earth Observation Data Cube: The 30-m Seamless Annual Leaf-On Landsat Composites from 1985 to 2023 Y. Cai et al.
- Incremental Data Cube Architecture for Sentinel-2 Time Series: Multi-Cube Approaches to Dynamic Baseline Construction R. Trujillo & M. Solar
- Annual global land cover mapping at 30 m resolution from 1985 to 2022 with high temporal consistency B. Li et al.
- Change analysis of surface water clarity in the Persian Gulf and the Oman Sea by remote sensing data and an interpretable deep learning model M. Abedini et al.
- Alpine treeline greening outpaces lower elevations under warming climate across the Changbai Mountains: evidence from near-daily seamless data cubes at 30 m resolution Z. Xu et al.
- Linking urban growth and surface temperature change in capital and secondary cities of Southeast Asia R. Xu et al.
- Dynamic land-cover maps in the Guangdong-Hong Kong-Macao Greater Bay Area at 30 m spatial resolution, 2000-2022 Y. Li et al.
- Deciphering the daily spatiotemporal dynamics and mechanisms of floods in the Tarim Basin desert region A. Tursun et al.
- Multi-decadal remote sensing observations evaluating the spatiotemporal patterns of seawater intrusion impact on a crop-rotation system A. Ghirardelli et al.
- An integrated reconstruction–downscaling framework for generating daily, all-weather 30 m land surface temperature in cloudy mountainous regions J. Zhao et al.
- Development of a 10 m daily seamless surface reflectance data cube based on Sentinel-2 constellation for generating the reference true-value products at Wanglang mountain area, China J. Bian et al.
17 citations as recorded by crossref.
- MosaicFormer: A Novel Approach to Remote Sensing Spatiotemporal Data Fusion for Lake Water Monitors D. Zheng & A. Lv
- GCT-GF: A generative CNN-transformer for multi-modal multi-temporal gap-filling of surface water probability Y. Song et al.
- An Efficient Approach Integrating Sentinel-1 and Sentinel-2 Imagery for Mapping Permanent and Seasonal Water Area Y. Zhang et al.
- Spectral and spatial harmonization of Landsat ETM+, OLI, and Sentinel-2 MSI using time-series harmonic analysis and blur kernel estimation S. Chen et al.
- An improved ROBust OpTimization-based (iROBOT) fusion model for reliable spatiotemporal seamless remote sensing data reconstruction D. Guo et al.
- Integrating flux footprint, random forest, and SHAP for interpretable hourly carbon flux upscaling: Development and application in the Qilian mountains watershed J. An et al.
- China Earth Observation Data Cube: The 30-m Seamless Annual Leaf-On Landsat Composites from 1985 to 2023 Y. Cai et al.
- Incremental Data Cube Architecture for Sentinel-2 Time Series: Multi-Cube Approaches to Dynamic Baseline Construction R. Trujillo & M. Solar
- Annual global land cover mapping at 30 m resolution from 1985 to 2022 with high temporal consistency B. Li et al.
- Change analysis of surface water clarity in the Persian Gulf and the Oman Sea by remote sensing data and an interpretable deep learning model M. Abedini et al.
- Alpine treeline greening outpaces lower elevations under warming climate across the Changbai Mountains: evidence from near-daily seamless data cubes at 30 m resolution Z. Xu et al.
- Linking urban growth and surface temperature change in capital and secondary cities of Southeast Asia R. Xu et al.
- Dynamic land-cover maps in the Guangdong-Hong Kong-Macao Greater Bay Area at 30 m spatial resolution, 2000-2022 Y. Li et al.
- Deciphering the daily spatiotemporal dynamics and mechanisms of floods in the Tarim Basin desert region A. Tursun et al.
- Multi-decadal remote sensing observations evaluating the spatiotemporal patterns of seawater intrusion impact on a crop-rotation system A. Ghirardelli et al.
- An integrated reconstruction–downscaling framework for generating daily, all-weather 30 m land surface temperature in cloudy mountainous regions J. Zhao et al.
- Development of a 10 m daily seamless surface reflectance data cube based on Sentinel-2 constellation for generating the reference true-value products at Wanglang mountain area, China J. Bian et al.
Saved (final revised paper)
Latest update: 16 May 2026
Short summary
The inconsistent coverage of Landsat data due to its long revisit intervals and frequent cloud cover poses challenges to large-scale land monitoring. We developed a global 30 m 23-year (2000–2022) daily seamless data cube (SDC) of surface reflectance based on Landsat 5, 7, 8, and 9 and MODIS products. The SDC exhibits enhanced capabilities for monitoring land cover changes and robust consistency in both spatial and temporal dimensions, which are important for global environmental monitoring.
The inconsistent coverage of Landsat data due to its long revisit intervals and frequent cloud...
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