Articles | Volume 15, issue 11
https://doi.org/10.5194/essd-15-4749-2023
© Author(s) 2023. 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-15-4749-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
SinoLC-1: the first 1 m resolution national-scale land-cover map of China created with a deep learning framework and open-access data
Zhuohong Li
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, 430079, PR China
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, 430079, PR China
Mofan Cheng
School of Electronic Information, Wuhan University, Wuhan, 430079, PR China
Jingxin Hu
School of Electronic Information, Wuhan University, Wuhan, 430079, PR China
Guangyi Yang
School of Electronic Information, Wuhan University, Wuhan, 430079, PR China
Hongyan Zhang
CORRESPONDING AUTHOR
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, 430079, PR China
School of Computer Science, China University of Geosciences, Wuhan, 430074, PR China
Viewed
Total article views: 19,122 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 27 Mar 2023)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
13,972 | 4,472 | 678 | 19,122 | 308 | 322 |
- HTML: 13,972
- PDF: 4,472
- XML: 678
- Total: 19,122
- BibTeX: 308
- EndNote: 322
Total article views: 5,068 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 30 Oct 2023)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
3,511 | 1,448 | 109 | 5,068 | 106 | 139 |
- HTML: 3,511
- PDF: 1,448
- XML: 109
- Total: 5,068
- BibTeX: 106
- EndNote: 139
Total article views: 14,054 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 27 Mar 2023)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
10,461 | 3,024 | 569 | 14,054 | 202 | 183 |
- HTML: 10,461
- PDF: 3,024
- XML: 569
- Total: 14,054
- BibTeX: 202
- EndNote: 183
Viewed (geographical distribution)
Total article views: 19,122 (including HTML, PDF, and XML)
Thereof 18,648 with geography defined
and 474 with unknown origin.
Total article views: 5,068 (including HTML, PDF, and XML)
Thereof 4,879 with geography defined
and 189 with unknown origin.
Total article views: 14,054 (including HTML, PDF, and XML)
Thereof 13,769 with geography defined
and 285 with unknown origin.
Country | # | Views | % |
---|
Country | # | Views | % |
---|
Country | # | Views | % |
---|
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Cited
46 citations as recorded by crossref.
- UANet: An Uncertainty-Aware Network for Building Extraction From Remote Sensing Images J. Li et al. 10.1109/TGRS.2024.3361211
- The polder systems legacies in the early twentieth century affect the contemporary landscape in the Jianghan Plain of Hubei, China Y. Li et al. 10.1186/s40494-024-01426-8
- Spatial and social inequality of hierarchical healthcare accessibility in urban system: A case study in Shanghai, China R. Su et al. 10.1016/j.scs.2024.105540
- A Weakly Supervised Semantic Segmentation Framework for Medium-Resolution Forest Classification With Noisy Labels and GF-1 WFV Images X. Peng et al. 10.1109/TGRS.2024.3404953
- High-resolution comprehensive regional development mapping using multisource geographic data L. Li et al. 10.1016/j.scs.2024.105670
- Fine-Resolution Wetland Mapping in the Yellow River Basin Using Sentinel-1/2 Data via Zoning-Based Random Forest with Remote Sensing Feature Preferences X. Huo & Z. Niu 10.3390/w16172415
- Developing Layered Occlusion Perception Model: Mapping community open spaces in 31 China cities Y. Lei et al. 10.1016/j.rse.2024.114498
- Deep learning for urban land use category classification: A review and experimental assessment Z. Li et al. 10.1016/j.rse.2024.114290
- CRformer: Multi-modal data fusion to reconstruct cloud-free optical imagery Y. Xia et al. 10.1016/j.jag.2024.103793
- MLCNet: Multitask Level-Specific Constraint Network for Building Change Detection T. Liu et al. 10.1109/JSTARS.2024.3415171
- Time-series China urban land use mapping (2016–2022): An approach for achieving spatial-consistency and semantic-transition rationality in temporal domain S. Xiong et al. 10.1016/j.rse.2024.114344
- Dynamic impact assessment of urban floods on the compound spatial network of buildings-roads-emergency service facilities Y. Zang et al. 10.1016/j.scitotenv.2024.172007
- The disparities in health risks of multiple pollutants through soil and dietary exposure in a rural-urban area based on accessibility method C. Wang et al. 10.1016/j.jenvman.2024.123194
- CCropLand30: High-resolution hybrid cropland maps of China created through the synergy of state-of-the-art remote sensing products and the latest national land survey L. Zhang et al. 10.1016/j.compag.2024.108672
- Land use/cover drive functional patterns of bacterial communities in sediments of a subtropical river, China Y. Fan et al. 10.1016/j.scitotenv.2024.174564
- Coupling of microbial-explicit model and machine learning improves the prediction and turnover process simulation of soil organic carbon X. Xu et al. 10.1016/j.csag.2024.100001
- Mitigating urban heat island through neighboring rural land cover M. Yang et al. 10.1038/s44284-024-00091-z
- Simultaneous extraction of spatial and attributional building information across large-scale urban landscapes from high-resolution satellite imagery Z. Qian et al. 10.1016/j.scs.2024.105393
- Providing Quantitative and Site-Specific Decision Support for Urban Flooding Mitigation Using Machine Learning and SHAP E. Ke 10.2139/ssrn.4756021
- G2LDIE: Global-to-Local Dynamic Information Enhancement Framework for Weakly Supervised Building Extraction From Remote Sensing Images J. Sun et al. 10.1109/TGRS.2024.3418850
- Exploring spatiotemporal patterns of algal cell density in lake Dianchi with explainable machine learning Y. Tao et al. 10.1016/j.envpol.2024.124395
- Unsupervised Domain Adaptation with Contrastive Learning-Based Discriminative Feature Augmentation for RS Image Classification R. Xu et al. 10.3390/rs16111974
- A Geographically Weighted Regression–Compute Unified Device Architecture Approach to Explore the Spatial Agglomeration and Heterogeneity in Arable Land Consumption in Southwest China C. Liu et al. 10.3390/agriculture14101675
- Assessment of Fine-Scale Urban Heat Health Risk and Its Potential Driving Factors Based on Local Climate Zones in Shenzhen, China R. Su et al. 10.3390/ijgi13100367
- Fine-grained urban blue-green-gray landscape dataset for 36 Chinese cities based on deep learning network Z. Xu & S. Zhao 10.1038/s41597-023-02844-2
- Exposure to greenspaces sourced soils improves mice gut microbiota G. Zhou et al. 10.1016/j.envpol.2024.124931
- Research on the Spatial-Temporal Evolution of Changsha’s Surface Urban Heat Island from the Perspective of Local Climate Zones Y. Xiang et al. 10.3390/land13091479
- WenSiM: A Relative Accuracy Assessment Method for Land Cover Products Based on Optimal Transportation Theory R. Zhu et al. 10.3390/rs16020257
- Pretrain a Remote Sensing Foundation Model by Promoting Intra-Instance Similarity X. An et al. 10.1109/TGRS.2024.3469568
- Harmony in diversity: Content cleansing change detection framework for very-high-resolution remote-sensing images M. Cheng et al. 10.1016/j.isprsjprs.2024.09.002
- Evaluation of Perceptions Using Facial Expression Scores on Ecological Service Value of Blue and Green Spaces in 61 Parks in Guizhou L. Wang & C. Zhou 10.3390/su16104108
- Elevational patterns of bird alpha and beta diversity in Haba Snow Mountain, Southwestern China: Implication for conservation J. Tang et al. 10.1016/j.gecco.2024.e03261
- Downscaled high spatial resolution images from automated machine learning for assessment of urban structure effects on land surface temperatures X. Zhong et al. 10.1016/j.buildenv.2024.111934
- PSFormer: Pyramid Superpixel Transformer for Hyperspectral Image Classification J. Zou et al. 10.1109/TGRS.2024.3468876
- Cross-City Semantic Segmentation (C2Seg) in Multimodal Remote Sensing: Outcome of the 2023 IEEE WHISPERS C2Seg Challenge Y. Liu et al. 10.1109/JSTARS.2024.3388464
- Evaluation of six global high-resolution global land cover products over China Y. Wang et al. 10.1080/17538947.2023.2301673
- Validation and refinement of cropland map in southwestern China by harnessing ten contemporary datasets Y. Cui et al. 10.1038/s41597-024-03508-5
- Storm surge risk assessment and sensitivity analysis based on multiple criteria decision-making methods: a case study of Huizhou City W. Wei et al. 10.3389/fmars.2024.1364929
- Local knowledge of homegarden plants in Miao ethnic communities in Laershan region, Xiangxi area, China J. Luo et al. 10.1186/s13002-024-00676-x
- Evaluation of Coupling Coordination Degree between Economy and Eco-Environment Systems in the Yangtze River Delta from 2000 to 2020 J. Ji et al. 10.3390/systems11100500
- SinoLC-1: the first 1 m resolution national-scale land-cover map of China created with a deep learning framework and open-access data Z. Li et al. 10.5194/essd-15-4749-2023
- Global heterogeneous graph convolutional network: from coarse to refined land cover and land use segmentation Z. Liu et al. 10.1080/17538947.2024.2353110
- Super-Resolution Rural Road Extraction from Sentinel-2 Imagery Using a Spatial Relationship-Informed Network Y. Jia et al. 10.3390/rs15174193
- Mapping of the Spatial Scope and Water Quality of Surface Water Based on the Google Earth Engine Cloud Platform and Landsat Time Series H. Jin et al. 10.3390/rs15204986
- Which land cover product provides the most accurate land use land cover map of the Yellow River Basin? W. Zhang et al. 10.3389/fevo.2023.1275054
- A novel deep learning model for extracting arable land from high-resolution remote sensing images in hilly areas: a case study in the Sichuan Basin of Southwest China Y. Chen et al. 10.1080/10106049.2024.2400493
35 citations as recorded by crossref.
- UANet: An Uncertainty-Aware Network for Building Extraction From Remote Sensing Images J. Li et al. 10.1109/TGRS.2024.3361211
- The polder systems legacies in the early twentieth century affect the contemporary landscape in the Jianghan Plain of Hubei, China Y. Li et al. 10.1186/s40494-024-01426-8
- Spatial and social inequality of hierarchical healthcare accessibility in urban system: A case study in Shanghai, China R. Su et al. 10.1016/j.scs.2024.105540
- A Weakly Supervised Semantic Segmentation Framework for Medium-Resolution Forest Classification With Noisy Labels and GF-1 WFV Images X. Peng et al. 10.1109/TGRS.2024.3404953
- High-resolution comprehensive regional development mapping using multisource geographic data L. Li et al. 10.1016/j.scs.2024.105670
- Fine-Resolution Wetland Mapping in the Yellow River Basin Using Sentinel-1/2 Data via Zoning-Based Random Forest with Remote Sensing Feature Preferences X. Huo & Z. Niu 10.3390/w16172415
- Developing Layered Occlusion Perception Model: Mapping community open spaces in 31 China cities Y. Lei et al. 10.1016/j.rse.2024.114498
- Deep learning for urban land use category classification: A review and experimental assessment Z. Li et al. 10.1016/j.rse.2024.114290
- CRformer: Multi-modal data fusion to reconstruct cloud-free optical imagery Y. Xia et al. 10.1016/j.jag.2024.103793
- MLCNet: Multitask Level-Specific Constraint Network for Building Change Detection T. Liu et al. 10.1109/JSTARS.2024.3415171
- Time-series China urban land use mapping (2016–2022): An approach for achieving spatial-consistency and semantic-transition rationality in temporal domain S. Xiong et al. 10.1016/j.rse.2024.114344
- Dynamic impact assessment of urban floods on the compound spatial network of buildings-roads-emergency service facilities Y. Zang et al. 10.1016/j.scitotenv.2024.172007
- The disparities in health risks of multiple pollutants through soil and dietary exposure in a rural-urban area based on accessibility method C. Wang et al. 10.1016/j.jenvman.2024.123194
- CCropLand30: High-resolution hybrid cropland maps of China created through the synergy of state-of-the-art remote sensing products and the latest national land survey L. Zhang et al. 10.1016/j.compag.2024.108672
- Land use/cover drive functional patterns of bacterial communities in sediments of a subtropical river, China Y. Fan et al. 10.1016/j.scitotenv.2024.174564
- Coupling of microbial-explicit model and machine learning improves the prediction and turnover process simulation of soil organic carbon X. Xu et al. 10.1016/j.csag.2024.100001
- Mitigating urban heat island through neighboring rural land cover M. Yang et al. 10.1038/s44284-024-00091-z
- Simultaneous extraction of spatial and attributional building information across large-scale urban landscapes from high-resolution satellite imagery Z. Qian et al. 10.1016/j.scs.2024.105393
- Providing Quantitative and Site-Specific Decision Support for Urban Flooding Mitigation Using Machine Learning and SHAP E. Ke 10.2139/ssrn.4756021
- G2LDIE: Global-to-Local Dynamic Information Enhancement Framework for Weakly Supervised Building Extraction From Remote Sensing Images J. Sun et al. 10.1109/TGRS.2024.3418850
- Exploring spatiotemporal patterns of algal cell density in lake Dianchi with explainable machine learning Y. Tao et al. 10.1016/j.envpol.2024.124395
- Unsupervised Domain Adaptation with Contrastive Learning-Based Discriminative Feature Augmentation for RS Image Classification R. Xu et al. 10.3390/rs16111974
- A Geographically Weighted Regression–Compute Unified Device Architecture Approach to Explore the Spatial Agglomeration and Heterogeneity in Arable Land Consumption in Southwest China C. Liu et al. 10.3390/agriculture14101675
- Assessment of Fine-Scale Urban Heat Health Risk and Its Potential Driving Factors Based on Local Climate Zones in Shenzhen, China R. Su et al. 10.3390/ijgi13100367
- Fine-grained urban blue-green-gray landscape dataset for 36 Chinese cities based on deep learning network Z. Xu & S. Zhao 10.1038/s41597-023-02844-2
- Exposure to greenspaces sourced soils improves mice gut microbiota G. Zhou et al. 10.1016/j.envpol.2024.124931
- Research on the Spatial-Temporal Evolution of Changsha’s Surface Urban Heat Island from the Perspective of Local Climate Zones Y. Xiang et al. 10.3390/land13091479
- WenSiM: A Relative Accuracy Assessment Method for Land Cover Products Based on Optimal Transportation Theory R. Zhu et al. 10.3390/rs16020257
- Pretrain a Remote Sensing Foundation Model by Promoting Intra-Instance Similarity X. An et al. 10.1109/TGRS.2024.3469568
- Harmony in diversity: Content cleansing change detection framework for very-high-resolution remote-sensing images M. Cheng et al. 10.1016/j.isprsjprs.2024.09.002
- Evaluation of Perceptions Using Facial Expression Scores on Ecological Service Value of Blue and Green Spaces in 61 Parks in Guizhou L. Wang & C. Zhou 10.3390/su16104108
- Elevational patterns of bird alpha and beta diversity in Haba Snow Mountain, Southwestern China: Implication for conservation J. Tang et al. 10.1016/j.gecco.2024.e03261
- Downscaled high spatial resolution images from automated machine learning for assessment of urban structure effects on land surface temperatures X. Zhong et al. 10.1016/j.buildenv.2024.111934
- PSFormer: Pyramid Superpixel Transformer for Hyperspectral Image Classification J. Zou et al. 10.1109/TGRS.2024.3468876
- Cross-City Semantic Segmentation (C2Seg) in Multimodal Remote Sensing: Outcome of the 2023 IEEE WHISPERS C2Seg Challenge Y. Liu et al. 10.1109/JSTARS.2024.3388464
11 citations as recorded by crossref.
- Evaluation of six global high-resolution global land cover products over China Y. Wang et al. 10.1080/17538947.2023.2301673
- Validation and refinement of cropland map in southwestern China by harnessing ten contemporary datasets Y. Cui et al. 10.1038/s41597-024-03508-5
- Storm surge risk assessment and sensitivity analysis based on multiple criteria decision-making methods: a case study of Huizhou City W. Wei et al. 10.3389/fmars.2024.1364929
- Local knowledge of homegarden plants in Miao ethnic communities in Laershan region, Xiangxi area, China J. Luo et al. 10.1186/s13002-024-00676-x
- Evaluation of Coupling Coordination Degree between Economy and Eco-Environment Systems in the Yangtze River Delta from 2000 to 2020 J. Ji et al. 10.3390/systems11100500
- SinoLC-1: the first 1 m resolution national-scale land-cover map of China created with a deep learning framework and open-access data Z. Li et al. 10.5194/essd-15-4749-2023
- Global heterogeneous graph convolutional network: from coarse to refined land cover and land use segmentation Z. Liu et al. 10.1080/17538947.2024.2353110
- Super-Resolution Rural Road Extraction from Sentinel-2 Imagery Using a Spatial Relationship-Informed Network Y. Jia et al. 10.3390/rs15174193
- Mapping of the Spatial Scope and Water Quality of Surface Water Based on the Google Earth Engine Cloud Platform and Landsat Time Series H. Jin et al. 10.3390/rs15204986
- Which land cover product provides the most accurate land use land cover map of the Yellow River Basin? W. Zhang et al. 10.3389/fevo.2023.1275054
- A novel deep learning model for extracting arable land from high-resolution remote sensing images in hilly areas: a case study in the Sichuan Basin of Southwest China Y. Chen et al. 10.1080/10106049.2024.2400493
Latest update: 20 Nov 2024
Short summary
Nowadays, a very-high-resolution land-cover (LC) map with national coverage is still unavailable in China, hindering efficient resource allocation. To fill this gap, the first 1 m resolution LC map of China, SinoLC-1, was built. The results showed that SinoLC-1 had an overall accuracy of 73.61 % and conformed to the official survey reports. Comparison with other datasets suggests that SinoLC-1 can be a better support for downstream applications and provide more accurate LC information to users.
Nowadays, a very-high-resolution land-cover (LC) map with national coverage is still unavailable...
Altmetrics
Final-revised paper
Preprint