Articles | Volume 15, issue 2
https://doi.org/10.5194/essd-15-555-2023
© 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-15-555-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description article
| 
03 Feb 2023
Data description article |
| 03 Feb 2023
| 03 Feb 2023
UGS-1m: fine-grained urban green space mapping of 31 major cities in China based on the deep learning framework
Qian Shi
School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China
Guangdong Key Laboratory for Urbanization and Geo-simulation, Sun Yat-sen University, Guangzhou 510275, China
School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China
Guangdong Key Laboratory for Urbanization and Geo-simulation, Sun Yat-sen University, Guangzhou 510275, China
Andrea Marinoni
Department of Physics and Technology, UiT – The Arctic University of Norway, 9019 Tromsø, Norway
Department of Engineering, University of Cambridge, Cambridge CB2 1PZ, UK
Xiaoping Liu
School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China
Guangdong Key Laboratory for Urbanization and Geo-simulation, Sun Yat-sen University, Guangzhou 510275, China
Viewed
Total article views: 18,469 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 22 Jun 2022)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 14,038 | 4,069 | 362 | 18,469 | 340 | 410 |
- HTML: 14,038
- PDF: 4,069
- XML: 362
- Total: 18,469
- BibTeX: 340
- EndNote: 410
Total article views: 16,753 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 03 Feb 2023)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 13,289 | 3,139 | 325 | 16,753 | 322 | 394 |
- HTML: 13,289
- PDF: 3,139
- XML: 325
- Total: 16,753
- BibTeX: 322
- EndNote: 394
Total article views: 1,716 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 22 Jun 2022)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 749 | 930 | 37 | 1,716 | 18 | 16 |
- HTML: 749
- PDF: 930
- XML: 37
- Total: 1,716
- BibTeX: 18
- EndNote: 16
Viewed (geographical distribution)
Total article views: 18,469 (including HTML, PDF, and XML)
Thereof 17,923 with geography defined
and 546 with unknown origin.
Total article views: 16,753 (including HTML, PDF, and XML)
Thereof 16,266 with geography defined
and 487 with unknown origin.
Total article views: 1,716 (including HTML, PDF, and XML)
Thereof 1,657 with geography defined
and 59 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
134 citations as recorded by crossref.
- Underload or Overload? Unveiling the Contradiction Between the Distribution of Urban Green Spaces and Their Carrying Capacity During Summer Heat Periods G. Liu et al. https://doi.org/10.3390/land15040524
- How urban amenity factors shape the geography of innovative enterprises: A geographical random forest approach in Beijing T. Shu et al. https://doi.org/10.1016/j.cities.2026.107612
- Automatic characterisation of the urban grid of cities in developing countries from satellite images – A review M. Correia et al. https://doi.org/10.1016/j.procs.2025.02.138
- An impervious surfaces extraction method based on optical, ascending and descending SAR remote sensing imagery in high-density urban core areas A. Zhang et al. https://doi.org/10.1016/j.jag.2025.104595
- Monitoring global cement plants from space Y. Yang et al. https://doi.org/10.1016/j.rse.2023.113954
- Does the economy influence dynamic green exposure? A comparative study of spatial heterogeneity in visible greenery during running between high-and low-income groups Y. Jiang et al. https://doi.org/10.1016/j.jenvman.2025.126952
- Developing Layered Occlusion Perception Model: Mapping community open spaces in 31 China cities Y. Lei et al. https://doi.org/10.1016/j.rse.2024.114498
- Drivers of heat-prone areas and thermal environmental inequity in a mountainous city: A case study of Chongqing, China, using MaxEnt M. Xie et al. https://doi.org/10.1016/j.uclim.2026.102948
- Submeter-level land cover mapping of Japan N. Yokoya et al. https://doi.org/10.1016/j.jag.2024.103660
- Remote sensing street view data fusion and urban green space equity based on improved fully convolutional networks Z. Zhou https://doi.org/10.1016/j.geomat.2026.100120
- HGRHDNet: Hierarchical Gated Residual Fusion and High-Frequency Guided Deformable Upsampler Network for Boundary-Enhanced Binary Urban Green Space Extraction W. Man et al. https://doi.org/10.3390/rs18152620
- Multi-scale functional restructuring of urban green spaces across 329 Chinese cities from 1990 to 2020 W. Zhao et al. https://doi.org/10.1016/j.cities.2026.107635
- Urban tree species classification using multisource satellite remote sensing data and street view imagery S. Wang et al. https://doi.org/10.1080/10095020.2024.2439380
- Assessing green space exposure in high density urban areas: A deficiency-sufficiency framework for Shanghai X. Wang & C. Guan https://doi.org/10.1016/j.ecolind.2025.113494
- SCAResNet: A ResNet Variant Optimized for Tiny Object Detection in Transmission and Distribution Towers W. Li et al. https://doi.org/10.1109/LGRS.2023.3315376
- Multi-Source Geographical Knowledge Fusion and Deep Learning Framework for Fine-Scale Urban Building Function Classification X. Shi et al. https://doi.org/10.3390/su18147164
- Geospatial micro-estimates of slum populations in 129 Global South countries using machine learning and public data D. Li et al. https://doi.org/10.5194/essd-18-5969-2026
- The Potential of Informal Green Space (IGS) in Enhancing Urban Green Space Accessibility and Optimization Strategies: A Case Study of Chengdu Y. Zou et al. https://doi.org/10.3390/land14071313
- Contrasting differences of the green space accessibility utility: a study of 30 major cities in China Y. Zhang et al. https://doi.org/10.3389/fbuil.2026.1760559
- Large-Scale Foundation Model Enhanced Few-Shot Learning for Open-Pit Minefield Extraction M. Shao et al. https://doi.org/10.1109/LGRS.2023.3342215
- MSGFNet: Multi-Scale Gated Fusion Network for Remote Sensing Image Change Detection Y. Wang et al. https://doi.org/10.3390/rs16030572
- Assessment of urban disaster resilience under the perspective of rainstorm waterlogging: A case study of the central urban area in Tianjin, China B. Hu et al. https://doi.org/10.1016/j.ocecoaman.2025.108005
- How site-specific spatial morphology influences healthy activities in urban green spaces: A case study of Lovers' Garden Z. Cheng et al. https://doi.org/10.1016/j.foar.2025.06.005
- MSHFormer: A Multiscale Hybrid Transformer Network With Boundary Enhancement for VHR Remote Sensing Image Building Extraction P. Zhu et al. https://doi.org/10.1109/TGRS.2025.3545919
- Fusing Historical Records and Physics-Informed Priors for Urban Waterlogging Susceptibility Assessment: A Framework Integrating Machine Learning, Fuzzy Evaluation, and Decision Analysis G. Chen et al. https://doi.org/10.3390/app151910604
- Neighborhood disparities in land surface temperature and the role of the built environment: Evidence from a major Chinese City Y. Ju et al. https://doi.org/10.1016/j.uclim.2026.102805
- Interpretable machine learning reveals nonlinear green space cooling across urban density zones: A multidimensional study in Wuhan L. Wan et al. https://doi.org/10.1016/j.uclim.2026.102883
- Remote Sensing-Based Analysis of the Mitigating Effect of Urban Green Space on Heat Island Effect: A Case Study of Changsha City Y. Li https://doi.org/10.61173/a1d5r153
- Identifying the Nonlinear Impact Mechanisms of Urban Park Vitality: A Case Study of Changsha Y. Cai et al. https://doi.org/10.3390/land15020231
- Threshold-dependent and zone-specific effects of wet-heat-adjusted greenspace exposure on mosquito-borne disease risk in urban functional zones Y. Zheng et al. https://doi.org/10.1016/j.actatropica.2026.108243
- Retrieval of Vegetation Indices and Vegetation Fraction in Highly Compact Urban Areas: A 3D Radiative Transfer Approach W. Xue et al. https://doi.org/10.3390/rs17010143
- <b>Semantic Segmentation of Small-Scale Urban Green Spaces Using LiDAR and Deep Learning</b> Y. OMIZU et al. https://doi.org/10.14398/urpr.13.215
- Remote Sensing Change Detection With Transformers Trained From Scratch M. Noman et al. https://doi.org/10.1109/TGRS.2024.3383800
- Functional Zone LST Patterns, Green-Space–LST Associations, and 2D/3D Urban-Form Relationships Across Taiyuan, Chengdu, and Yinchuan J. Zhang et al. https://doi.org/10.3390/rs18193394
- Assessing spatial pattern of urban green space coverage and its determining factors: A case study in the Yangtze River Delta region in China X. Liu et al. https://doi.org/10.1016/j.asr.2024.12.009
- CSACL: A Channel Spatial Attention Convolutional LSTM Model for Short-Term Sea Surface Temperature Prediction Z. Zhang et al. https://doi.org/10.1109/LGRS.2023.3344144
- Modeling the effects of urban park 3D environmental features on bird diversity with interpretable machine learning: A case study of Harbin, northeastern China C. Ding et al. https://doi.org/10.1016/j.avrs.2025.100304
- Exploring the nonlinear interactions and threshold effects of urban building morphology and green space on land surface temperature in high-density areas: A cross-city comparative study L. Chen & G. Guo https://doi.org/10.1016/j.scs.2025.107069
- Urban green space landscape patterns and preterm birth: a multicenter cohort study of over one million births in Chengdu, China J. Yin et al. https://doi.org/10.1016/j.envres.2026.124811
- SFFGL: A Semantic Feature Fused Global Learning Framework for Multiclass Change Detection in Hyperspectral Images L. Wang et al. https://doi.org/10.1109/LGRS.2023.3310745
- MANet: An Efficient Multidimensional Attention-Aggregated Network for Remote Sensing Image Change Detection K. Jiang et al. https://doi.org/10.1109/TGRS.2023.3328334
- Building-Road Collaborative Extraction From Remote Sensing Images via Cross-Task and Cross-Scale Interaction H. Guo et al. https://doi.org/10.1109/TGRS.2024.3383057
- Hourly modeling of urban heat exposure driven by 2D/3D urban form using the urban Tethys-Chloris model X. Liu et al. https://doi.org/10.1016/j.scs.2026.107823
- Urbanization and climatic factors drive insect diversity along climatic gradients at urban green spaces in eastern China X. Yao et al. https://doi.org/10.1111/1744-7917.70174
- HR-UVFormer: A Top-Down and Multimodal Hierarchical Extraction Approach for Urban Villages X. Tan et al. https://doi.org/10.1109/TGRS.2024.3387022
- Assessing Supply and Demand Discrepancies of Urban Green Space in High-Density Built-Up Areas Based on Vitality Impacts: Evidence from Beijing’s Central Districts, China J. Han et al. https://doi.org/10.3390/su17114828
- The socio-economic value of urban green spaces in mitigating waterlogging and enhancing well-being X. Yang et al. https://doi.org/10.1016/j.resconrec.2024.108010
- DiFormer: A Difference Transformer Network for Remote Sensing Change Detection H. Lin et al. https://doi.org/10.1109/LGRS.2024.3359220
- Sensitivity of urban green space disparity assessment to NDVI data sources, acquisition timing, and alternative metrics J. Kong et al. https://doi.org/10.1016/j.ufug.2026.129475
- Re-Net: Multibranch Network With Structural Reparameterization for Landslide Detection in Optical Imagery R. Zhang et al. https://doi.org/10.1109/JSTARS.2023.3344720
- A study on the impact of climate-adjusted greenspace exposure on mosquito-borne disease risk in Guangzhou City Y. Zheng et al. https://doi.org/10.1016/j.sste.2026.100837
- Towards resilient communities: Evaluating the nonlinear impact of the built environment on COVID-19 transmission risk in residential areas W. Guo et al. https://doi.org/10.1016/j.buildenv.2024.112289
- Quantifying the nonlinear interactions of 2D/3D building and green space morphology on land surface temperature across different urban functional zones H. Luo et al. https://doi.org/10.1016/j.scs.2026.107175
- Distinct relationships between multidimensional urban green space characteristics and urban heat island effect across local climate zones Q. Cai et al. https://doi.org/10.1016/j.eiar.2026.108636
- Mapping priority zones for urban heat mitigation in Shanghai: Heat risk vs. shelter provision W. Qian et al. https://doi.org/10.1016/j.compenvurbsys.2025.102330
- An end-to-end framework for semi-automated and cost-effective urban drainage system design: integrating deep learning, topology generation, and multi-objective optimization Q. Zhou et al. https://doi.org/10.1016/j.jhydrol.2026.135844
- Impact of Internal and External Landscape Patterns on Urban Greenspace Cooling Effects: Analysis from Maximum and Accumulative Perspectives L. Tang et al. https://doi.org/10.3390/buildings15040573
- Fully Convolutional Spectral–Spatial Fusion Network Integrating Supervised Contrastive Learning for Hyperspectral Image Classification Y. Shen et al. https://doi.org/10.1109/JSTARS.2023.3319587
- Modeling Urban-Vegetation Aboveground Carbon by Integrating Spectral–Textural Features with Tree Height and Canopy Cover Ratio Using Machine Learning Y. Fang et al. https://doi.org/10.3390/f16091381
- CAFF-Net for coupled eco-health prediction of urban green space and water body with multi-source remote sensing Y. Shen et al. https://doi.org/10.1016/j.asej.2026.104404
- Improved YOLOv5s for Small Ship Detection With Optical Remote Sensing Images Z. Liu et al. https://doi.org/10.1109/LGRS.2023.3319025
- OTCFM: A Sea Surface Temperature Prediction Method Integrating Multi-Scale Periodic Features L. Fan et al. https://doi.org/10.1109/ACCESS.2024.3425514
- Attention-based deep learning framework for urban flood damage and risk assessment with improved flood prediction and land use segmentation Z. Situ et al. https://doi.org/10.1016/j.ijdrr.2024.105165
- Enclosed by Walls, Embraced by Trees: Effects of Indoor Residential Crowding and Outdoor Green Space on Mental Health X. Wang et al. https://doi.org/10.1177/0739456X261432155
- TDFNet: twice decoding V-Mamba-CNN Fusion features for building extraction W. Wang et al. https://doi.org/10.1080/10095020.2025.2514812
- Novel Enhanced UNet for Change Detection Using Multimodal Remote Sensing Image Z. Lv et al. https://doi.org/10.1109/LGRS.2023.3325439
- Fine-grained urban blue-green-gray landscape dataset for 36 Chinese cities based on deep learning network Z. Xu & S. Zhao https://doi.org/10.1038/s41597-023-02844-2
- Detecting Long-Term Spatiotemporal Dynamics of Urban Green Spaces with Training Sample Migration Method M. Wang et al. https://doi.org/10.3390/rs17081426
- Automatic topology and capacity generation framework for urban drainage systems with deep learning-based land use segmentation and hydrological characterization Q. Zhong et al. https://doi.org/10.1016/j.jhydrol.2024.131766
- Spatial allocation of urban roof multifunctional retrofits: A spatial optimization approach integrating potential, cost, and benefit trade-offs J. Dong et al. https://doi.org/10.1016/j.landurbplan.2026.105803
- Exploring the Impact of Park and Surrounding Environments on Violent Crime in Wuhan: An XGBoost-SHAP Approach S. Lin et al. https://doi.org/10.1007/s12061-025-09710-1
- Multidimensional Green Space Exposure and Housing Prices in High-Density Urban Areas: Spatial Evidence from 3729 Communities in Guangzhou W. Wang & X. Hong https://doi.org/10.3390/buildings16204013
- The cooling effects of urban waterbodies and their driving forces in China N. Hu et al. https://doi.org/10.1016/j.ecolind.2023.111200
- Crowd detection using Very-Fine-Resolution satellite imagery T. Xiao et al. https://doi.org/10.1016/j.isprsjprs.2026.01.001
- Identifying Key Variables Influencing User Satisfaction in Urban Waterfront Greenways: A Case Study of Shenyang, China W. Shan et al. https://doi.org/10.1080/10549811.2026.2646684
- Urban green space extraction from BJ-2 remote sensing image based SegFormer semantic segmentation model Y. Guo et al. https://doi.org/10.1080/07038992.2024.2439835
- Spatial Differentiation of Thermal–Ecological Environmental Responses in High-Density Central Subway-Hub Blocks and Their Associations with Built-Environment Characteristics G. Wang et al. https://doi.org/10.3390/land15040658
- Scale matters: How spatial resolution impacts remote sensing based urban green space mapping? Z. Hu et al. https://doi.org/10.1016/j.jag.2024.104178
- A detection of street trees and green space: Understanding contribution of urban trees to climate change mitigation X. Lian et al. https://doi.org/10.1016/j.ufug.2024.128561
- LGCANet: Local–Global and Change-Aware Network via Segment Anything Model for Remote Sensing Images Change Detection K. Jiang & C. Wu https://doi.org/10.1109/TGRS.2025.3582784
- Will extreme heat inhibit the cooling effects of urban blue-green spaces? Case study of the Yangtze River Delta urban agglomeration J. Chen et al. https://doi.org/10.1016/j.buildenv.2026.115177
- A Very High-Resolution Urban Green Space from the Fusion of Microsatellite, SAR, and MSI Images F. Ramdani https://doi.org/10.3390/rs16081366
- The impact of 2D/3D building morphology and green spaces on urban heat environments: Relative contributions, interaction and marginal effects D. Bai et al. https://doi.org/10.1016/j.ecolind.2025.114296
- Deep learning in urban green space extraction in remote sensing: a comprehensive systematic review Y. Huang et al. https://doi.org/10.1080/01431161.2024.2424511
- A Framework for Analyzing Spatial Heterogeneity and Influencing Factors of Campus Green Space in Xi’an, China Z. Zang et al. https://doi.org/10.1007/s11769-025-1524-3
- A Novel Hybrid Method for Urban Green Space Segmentation from High-Resolution Remote Sensing Images W. Wang et al. https://doi.org/10.3390/rs15235472
- UTFNet: Uncertainty-Guided Trustworthy Fusion Network for RGB-Thermal Semantic Segmentation Q. Wang et al. https://doi.org/10.1109/LGRS.2023.3322452
- Micro-scale diurnal thermal regimes and heat-carbon spatial decoupling in the downtown of Beijing Y. Liu et al. https://doi.org/10.1016/j.uclim.2026.102848
- Reconstructing urban vegetation evolution in China using multimodal deep learning and 30-years Landsat archive Y. Han et al. https://doi.org/10.1016/j.ufug.2024.128582
- The impact of Urban residential areas on bird diversity: A case study from Harbin, Northeast China Y. Dong et al. https://doi.org/10.1016/j.habitatint.2025.103463
- Mapping Urban Functional Areas Using Multisource Remote Sensing Images and Open Big Data Y. Chen et al. https://doi.org/10.1109/JSTARS.2023.3308051
- Efficient Rural Building Segmentation via a Multilevel Decoding Network B. Xu et al. https://doi.org/10.1109/JSTARS.2023.3344210
- A Lightweight Change Detection Network Based on Feature Interleaved Fusion and Bistage Decoding M. Wang et al. https://doi.org/10.1109/JSTARS.2023.3344635
- A multi-scale feature fusion framework for urban functional zone identification using automatic ensemble learning method Y. Wang et al. https://doi.org/10.3389/frsc.2026.1736773
- Urban vegetation productivity under climate change and increasing urbanization: Insights from both urban-rural comparison and trend analysis for global cities J. Chen et al. https://doi.org/10.1016/j.ufug.2025.128950
- Why same datasets yield different environment–activity relationships? Hidden uncertainties in geospatial processing methods H. Shi et al. https://doi.org/10.1016/j.compenvurbsys.2025.102398
- Research on the Coupling Relationship between Land-Use Performance and Land Preference of Urban Greenways: A Case Study of Shenyang, China W. Shan et al. https://doi.org/10.1061/JUPDDM.UPENG-5258
- LargeRSDet: A Large Mini-Batch Object Detector for Remote Sensing Images H. Zhu et al. https://doi.org/10.1109/LGRS.2023.3345946
- Building Height Extraction Based on Joint Optimal Selection of Regions and Multiindex Evaluation Mechanism J. Chang et al. https://doi.org/10.1109/TGRS.2023.3347272
- Multi-type and fine-grained urban green space function mapping based on BERT model and multi-source data fusion S. Cao et al. https://doi.org/10.1080/17538947.2024.2308723
- An Integrated Resilience–Risk “4R-3r” Model for Measuring Community Disaster Resilience (CDR) X. Chen & W. Teng https://doi.org/10.3390/land15060983
- Synergistic optimization of ecological supply–demand: Integrating urban green space ecosystem services and dual ecological demands across multiple scenarios G. Lin et al. https://doi.org/10.1016/j.ecolind.2025.114133
- Beyond correlation: Unveiling the causal link between streetscapes and recreational walking/cycling L. Xu et al. https://doi.org/10.1016/j.jtrangeo.2026.104789
- Urban Vegetation Extraction from High-Resolution Remote Sensing Imagery on SD-UNet and Vegetation Spectral Features N. Lin et al. https://doi.org/10.3390/rs15184488
- Vegetation Classification and Extraction of Urban Green Spaces Within the Fifth Ring Road of Beijing Based on YOLO v8 B. Li et al. https://doi.org/10.3390/land14102005
- Rapid urbanization reshapes the spatial-seasonal alignment of green environments: Unveiling the provision-persistence gap for residents across 295 Chinese cities J. Hu et al. https://doi.org/10.1016/j.jclepro.2026.148880
- Context-dependent effects of land-sparing and land-sharing strategies on urban bird diversity Q. Han et al. https://doi.org/10.1007/s10980-026-02451-7
- Identifying cropland non-agriculturalization with high representational consistency from bi-temporal high-resolution remote sensing images: From benchmark datasets to real-world application Z. Sun et al. https://doi.org/10.1016/j.isprsjprs.2024.05.011
- High-Resolution (0.9 m) terrace mapping in Low-Latitude hilly regions using deep learning and Area–Slope Denoising: A case study from Guangdong Province, China Y. Zhao et al. https://doi.org/10.1016/j.jag.2026.105126
- Exploring socio-spatial mechanisms underlying urban activity patterns: A data-driven study of Chinese megacities L. Zhang et al. https://doi.org/10.1016/j.cities.2026.107076
- Identifying Potential Urban Greenways by Considering Green Space Exposure Levels and Maximizing Recreational Flows: A Case Study in Beijing’s Built-Up Areas T. Liu et al. https://doi.org/10.3390/land13111793
- Resilience assessment of subway system to waterlogging disaster F. Xu et al. https://doi.org/10.1016/j.scs.2024.105710
- Fine-Grained Building Extraction With Multispectral Remote Sensing Imagery Using the Deep Model Z. Wang et al. https://doi.org/10.1109/TGRS.2023.3327370
- High-resolution greenspace dynamic data cube from Sentinel-2 satellites over 1028 global major cities S. Wu et al. https://doi.org/10.1038/s41597-024-03746-7
- A Review on Recent Deep Learning-Based Semantic Segmentation for Urban Greenness Measurement D. Lee et al. https://doi.org/10.3390/s24072245
- Fine-Grained Image Recognition Methods and Their Applications in Remote Sensing Images: A Review Y. Chu et al. https://doi.org/10.1109/JSTARS.2024.3482348
- Recurrent Adaptive Graph Reasoning Network With Region and Boundary Interaction for Salient Object Detection in Optical Remote Sensing Images J. Zhao et al. https://doi.org/10.1109/TGRS.2024.3421950
- Neighboring matters: quantifying internal morphology and external spatial interactions on land surface temperature among urban functional zones H. Cheng et al. https://doi.org/10.1016/j.scs.2025.106689
- Examining the direct and indirect impacts of urbanization on vegetation net primary productivity across Chinese cities Y. Zhao et al. https://doi.org/10.1016/j.agrformet.2025.110815
- Contrasting effects of urbanization on vegetation between the Global South and Global North J. Chen et al. https://doi.org/10.1038/s41893-025-01520-0
- Future urban ecological land transition and its implications for high-heat exposure in China R. Feng et al. https://doi.org/10.1016/j.scs.2024.105590
- Relative importance of park features and within-park configuration in shaping butterfly diversity in Beijing Z. Xiao et al. https://doi.org/10.1016/j.ufug.2026.129660
- Daily ecological resilience dynamics under multiple hazards for spatially explicit ecological intervention strategies: Insights from Beijing’s 2023 extreme rainfall event Y. Hu et al. https://doi.org/10.1007/s10980-025-02292-w
- Unraveling the increasing burden of allergies: Spatiotemporal dynamics of pollen allergy risk in China B. Cao et al. https://doi.org/10.1016/j.eehl.2026.100267
- Exploring recreational walking and its correlated built environment factors in river corridor space through a trajectory sematic-based approach H. Shi et al. https://doi.org/10.1016/j.ufug.2025.128767
- Vertical planning and optimization strategies of green measures in urban flood control: combining automated land use segmentation with integrated hydrodynamic calculations W. Feng et al. https://doi.org/10.1016/j.watres.2025.124266
- DSAT-Net: Dual Spatial Attention Transformer for Building Extraction From Aerial Images R. Zhang et al. https://doi.org/10.1109/LGRS.2023.3304377
- Beyond Homogenization: Spatio-Temporal Dynamics of Urban Vitality and the Nonlinear Role of Built Environment in Shenyang’s Historic Urban Area Z. Wang et al. https://doi.org/10.3390/land15030431
- The effects of urban green infrastructures on the housing market X. Liu et al. https://doi.org/10.1016/j.habitatint.2025.103629
- NGRDI-DCNLab: Integrating Spectral Prior and Deformable Convolution for Urban Green Space Extraction from High-Resolution RGB Remote Sensing Imagery B. Lin et al. https://doi.org/10.3390/land15030486
- Investigating the Heterogeneity Effects of Urban Morphology on Building Energy Consumption from a Spatio-Temporal Perspective Using Old Residential Buildings on a University Campus J. Ma et al. https://doi.org/10.3390/land13101683
- An Improved YOLOv5s Model for Intelligent Recognition of Small Ships with Remote Sensing 春. 陈 https://doi.org/10.12677/gst.2024.123031
- How Green Space Exposure Is Associated with Social Vulnerability in the Highly Urbanized Xuhui District, Shanghai C. Ji et al. https://doi.org/10.3390/land15020272
- A more detailed park prescription: How does landscape support human health behavior? B. Liu et al. https://doi.org/10.3389/fpubh.2025.1696097
134 citations as recorded by crossref.
- Underload or Overload? Unveiling the Contradiction Between the Distribution of Urban Green Spaces and Their Carrying Capacity During Summer Heat Periods G. Liu et al. https://doi.org/10.3390/land15040524
- How urban amenity factors shape the geography of innovative enterprises: A geographical random forest approach in Beijing T. Shu et al. https://doi.org/10.1016/j.cities.2026.107612
- Automatic characterisation of the urban grid of cities in developing countries from satellite images – A review M. Correia et al. https://doi.org/10.1016/j.procs.2025.02.138
- An impervious surfaces extraction method based on optical, ascending and descending SAR remote sensing imagery in high-density urban core areas A. Zhang et al. https://doi.org/10.1016/j.jag.2025.104595
- Monitoring global cement plants from space Y. Yang et al. https://doi.org/10.1016/j.rse.2023.113954
- Does the economy influence dynamic green exposure? A comparative study of spatial heterogeneity in visible greenery during running between high-and low-income groups Y. Jiang et al. https://doi.org/10.1016/j.jenvman.2025.126952
- Developing Layered Occlusion Perception Model: Mapping community open spaces in 31 China cities Y. Lei et al. https://doi.org/10.1016/j.rse.2024.114498
- Drivers of heat-prone areas and thermal environmental inequity in a mountainous city: A case study of Chongqing, China, using MaxEnt M. Xie et al. https://doi.org/10.1016/j.uclim.2026.102948
- Submeter-level land cover mapping of Japan N. Yokoya et al. https://doi.org/10.1016/j.jag.2024.103660
- Remote sensing street view data fusion and urban green space equity based on improved fully convolutional networks Z. Zhou https://doi.org/10.1016/j.geomat.2026.100120
- HGRHDNet: Hierarchical Gated Residual Fusion and High-Frequency Guided Deformable Upsampler Network for Boundary-Enhanced Binary Urban Green Space Extraction W. Man et al. https://doi.org/10.3390/rs18152620
- Multi-scale functional restructuring of urban green spaces across 329 Chinese cities from 1990 to 2020 W. Zhao et al. https://doi.org/10.1016/j.cities.2026.107635
- Urban tree species classification using multisource satellite remote sensing data and street view imagery S. Wang et al. https://doi.org/10.1080/10095020.2024.2439380
- Assessing green space exposure in high density urban areas: A deficiency-sufficiency framework for Shanghai X. Wang & C. Guan https://doi.org/10.1016/j.ecolind.2025.113494
- SCAResNet: A ResNet Variant Optimized for Tiny Object Detection in Transmission and Distribution Towers W. Li et al. https://doi.org/10.1109/LGRS.2023.3315376
- Multi-Source Geographical Knowledge Fusion and Deep Learning Framework for Fine-Scale Urban Building Function Classification X. Shi et al. https://doi.org/10.3390/su18147164
- Geospatial micro-estimates of slum populations in 129 Global South countries using machine learning and public data D. Li et al. https://doi.org/10.5194/essd-18-5969-2026
- The Potential of Informal Green Space (IGS) in Enhancing Urban Green Space Accessibility and Optimization Strategies: A Case Study of Chengdu Y. Zou et al. https://doi.org/10.3390/land14071313
- Contrasting differences of the green space accessibility utility: a study of 30 major cities in China Y. Zhang et al. https://doi.org/10.3389/fbuil.2026.1760559
- Large-Scale Foundation Model Enhanced Few-Shot Learning for Open-Pit Minefield Extraction M. Shao et al. https://doi.org/10.1109/LGRS.2023.3342215
- MSGFNet: Multi-Scale Gated Fusion Network for Remote Sensing Image Change Detection Y. Wang et al. https://doi.org/10.3390/rs16030572
- Assessment of urban disaster resilience under the perspective of rainstorm waterlogging: A case study of the central urban area in Tianjin, China B. Hu et al. https://doi.org/10.1016/j.ocecoaman.2025.108005
- How site-specific spatial morphology influences healthy activities in urban green spaces: A case study of Lovers' Garden Z. Cheng et al. https://doi.org/10.1016/j.foar.2025.06.005
- MSHFormer: A Multiscale Hybrid Transformer Network With Boundary Enhancement for VHR Remote Sensing Image Building Extraction P. Zhu et al. https://doi.org/10.1109/TGRS.2025.3545919
- Fusing Historical Records and Physics-Informed Priors for Urban Waterlogging Susceptibility Assessment: A Framework Integrating Machine Learning, Fuzzy Evaluation, and Decision Analysis G. Chen et al. https://doi.org/10.3390/app151910604
- Neighborhood disparities in land surface temperature and the role of the built environment: Evidence from a major Chinese City Y. Ju et al. https://doi.org/10.1016/j.uclim.2026.102805
- Interpretable machine learning reveals nonlinear green space cooling across urban density zones: A multidimensional study in Wuhan L. Wan et al. https://doi.org/10.1016/j.uclim.2026.102883
- Remote Sensing-Based Analysis of the Mitigating Effect of Urban Green Space on Heat Island Effect: A Case Study of Changsha City Y. Li https://doi.org/10.61173/a1d5r153
- Identifying the Nonlinear Impact Mechanisms of Urban Park Vitality: A Case Study of Changsha Y. Cai et al. https://doi.org/10.3390/land15020231
- Threshold-dependent and zone-specific effects of wet-heat-adjusted greenspace exposure on mosquito-borne disease risk in urban functional zones Y. Zheng et al. https://doi.org/10.1016/j.actatropica.2026.108243
- Retrieval of Vegetation Indices and Vegetation Fraction in Highly Compact Urban Areas: A 3D Radiative Transfer Approach W. Xue et al. https://doi.org/10.3390/rs17010143
- <b>Semantic Segmentation of Small-Scale Urban Green Spaces Using LiDAR and Deep Learning</b> Y. OMIZU et al. https://doi.org/10.14398/urpr.13.215
- Remote Sensing Change Detection With Transformers Trained From Scratch M. Noman et al. https://doi.org/10.1109/TGRS.2024.3383800
- Functional Zone LST Patterns, Green-Space–LST Associations, and 2D/3D Urban-Form Relationships Across Taiyuan, Chengdu, and Yinchuan J. Zhang et al. https://doi.org/10.3390/rs18193394
- Assessing spatial pattern of urban green space coverage and its determining factors: A case study in the Yangtze River Delta region in China X. Liu et al. https://doi.org/10.1016/j.asr.2024.12.009
- CSACL: A Channel Spatial Attention Convolutional LSTM Model for Short-Term Sea Surface Temperature Prediction Z. Zhang et al. https://doi.org/10.1109/LGRS.2023.3344144
- Modeling the effects of urban park 3D environmental features on bird diversity with interpretable machine learning: A case study of Harbin, northeastern China C. Ding et al. https://doi.org/10.1016/j.avrs.2025.100304
- Exploring the nonlinear interactions and threshold effects of urban building morphology and green space on land surface temperature in high-density areas: A cross-city comparative study L. Chen & G. Guo https://doi.org/10.1016/j.scs.2025.107069
- Urban green space landscape patterns and preterm birth: a multicenter cohort study of over one million births in Chengdu, China J. Yin et al. https://doi.org/10.1016/j.envres.2026.124811
- SFFGL: A Semantic Feature Fused Global Learning Framework for Multiclass Change Detection in Hyperspectral Images L. Wang et al. https://doi.org/10.1109/LGRS.2023.3310745
- MANet: An Efficient Multidimensional Attention-Aggregated Network for Remote Sensing Image Change Detection K. Jiang et al. https://doi.org/10.1109/TGRS.2023.3328334
- Building-Road Collaborative Extraction From Remote Sensing Images via Cross-Task and Cross-Scale Interaction H. Guo et al. https://doi.org/10.1109/TGRS.2024.3383057
- Hourly modeling of urban heat exposure driven by 2D/3D urban form using the urban Tethys-Chloris model X. Liu et al. https://doi.org/10.1016/j.scs.2026.107823
- Urbanization and climatic factors drive insect diversity along climatic gradients at urban green spaces in eastern China X. Yao et al. https://doi.org/10.1111/1744-7917.70174
- HR-UVFormer: A Top-Down and Multimodal Hierarchical Extraction Approach for Urban Villages X. Tan et al. https://doi.org/10.1109/TGRS.2024.3387022
- Assessing Supply and Demand Discrepancies of Urban Green Space in High-Density Built-Up Areas Based on Vitality Impacts: Evidence from Beijing’s Central Districts, China J. Han et al. https://doi.org/10.3390/su17114828
- The socio-economic value of urban green spaces in mitigating waterlogging and enhancing well-being X. Yang et al. https://doi.org/10.1016/j.resconrec.2024.108010
- DiFormer: A Difference Transformer Network for Remote Sensing Change Detection H. Lin et al. https://doi.org/10.1109/LGRS.2024.3359220
- Sensitivity of urban green space disparity assessment to NDVI data sources, acquisition timing, and alternative metrics J. Kong et al. https://doi.org/10.1016/j.ufug.2026.129475
- Re-Net: Multibranch Network With Structural Reparameterization for Landslide Detection in Optical Imagery R. Zhang et al. https://doi.org/10.1109/JSTARS.2023.3344720
- A study on the impact of climate-adjusted greenspace exposure on mosquito-borne disease risk in Guangzhou City Y. Zheng et al. https://doi.org/10.1016/j.sste.2026.100837
- Towards resilient communities: Evaluating the nonlinear impact of the built environment on COVID-19 transmission risk in residential areas W. Guo et al. https://doi.org/10.1016/j.buildenv.2024.112289
- Quantifying the nonlinear interactions of 2D/3D building and green space morphology on land surface temperature across different urban functional zones H. Luo et al. https://doi.org/10.1016/j.scs.2026.107175
- Distinct relationships between multidimensional urban green space characteristics and urban heat island effect across local climate zones Q. Cai et al. https://doi.org/10.1016/j.eiar.2026.108636
- Mapping priority zones for urban heat mitigation in Shanghai: Heat risk vs. shelter provision W. Qian et al. https://doi.org/10.1016/j.compenvurbsys.2025.102330
- An end-to-end framework for semi-automated and cost-effective urban drainage system design: integrating deep learning, topology generation, and multi-objective optimization Q. Zhou et al. https://doi.org/10.1016/j.jhydrol.2026.135844
- Impact of Internal and External Landscape Patterns on Urban Greenspace Cooling Effects: Analysis from Maximum and Accumulative Perspectives L. Tang et al. https://doi.org/10.3390/buildings15040573
- Fully Convolutional Spectral–Spatial Fusion Network Integrating Supervised Contrastive Learning for Hyperspectral Image Classification Y. Shen et al. https://doi.org/10.1109/JSTARS.2023.3319587
- Modeling Urban-Vegetation Aboveground Carbon by Integrating Spectral–Textural Features with Tree Height and Canopy Cover Ratio Using Machine Learning Y. Fang et al. https://doi.org/10.3390/f16091381
- CAFF-Net for coupled eco-health prediction of urban green space and water body with multi-source remote sensing Y. Shen et al. https://doi.org/10.1016/j.asej.2026.104404
- Improved YOLOv5s for Small Ship Detection With Optical Remote Sensing Images Z. Liu et al. https://doi.org/10.1109/LGRS.2023.3319025
- OTCFM: A Sea Surface Temperature Prediction Method Integrating Multi-Scale Periodic Features L. Fan et al. https://doi.org/10.1109/ACCESS.2024.3425514
- Attention-based deep learning framework for urban flood damage and risk assessment with improved flood prediction and land use segmentation Z. Situ et al. https://doi.org/10.1016/j.ijdrr.2024.105165
- Enclosed by Walls, Embraced by Trees: Effects of Indoor Residential Crowding and Outdoor Green Space on Mental Health X. Wang et al. https://doi.org/10.1177/0739456X261432155
- TDFNet: twice decoding V-Mamba-CNN Fusion features for building extraction W. Wang et al. https://doi.org/10.1080/10095020.2025.2514812
- Novel Enhanced UNet for Change Detection Using Multimodal Remote Sensing Image Z. Lv et al. https://doi.org/10.1109/LGRS.2023.3325439
- Fine-grained urban blue-green-gray landscape dataset for 36 Chinese cities based on deep learning network Z. Xu & S. Zhao https://doi.org/10.1038/s41597-023-02844-2
- Detecting Long-Term Spatiotemporal Dynamics of Urban Green Spaces with Training Sample Migration Method M. Wang et al. https://doi.org/10.3390/rs17081426
- Automatic topology and capacity generation framework for urban drainage systems with deep learning-based land use segmentation and hydrological characterization Q. Zhong et al. https://doi.org/10.1016/j.jhydrol.2024.131766
- Spatial allocation of urban roof multifunctional retrofits: A spatial optimization approach integrating potential, cost, and benefit trade-offs J. Dong et al. https://doi.org/10.1016/j.landurbplan.2026.105803
- Exploring the Impact of Park and Surrounding Environments on Violent Crime in Wuhan: An XGBoost-SHAP Approach S. Lin et al. https://doi.org/10.1007/s12061-025-09710-1
- Multidimensional Green Space Exposure and Housing Prices in High-Density Urban Areas: Spatial Evidence from 3729 Communities in Guangzhou W. Wang & X. Hong https://doi.org/10.3390/buildings16204013
- The cooling effects of urban waterbodies and their driving forces in China N. Hu et al. https://doi.org/10.1016/j.ecolind.2023.111200
- Crowd detection using Very-Fine-Resolution satellite imagery T. Xiao et al. https://doi.org/10.1016/j.isprsjprs.2026.01.001
- Identifying Key Variables Influencing User Satisfaction in Urban Waterfront Greenways: A Case Study of Shenyang, China W. Shan et al. https://doi.org/10.1080/10549811.2026.2646684
- Urban green space extraction from BJ-2 remote sensing image based SegFormer semantic segmentation model Y. Guo et al. https://doi.org/10.1080/07038992.2024.2439835
- Spatial Differentiation of Thermal–Ecological Environmental Responses in High-Density Central Subway-Hub Blocks and Their Associations with Built-Environment Characteristics G. Wang et al. https://doi.org/10.3390/land15040658
- Scale matters: How spatial resolution impacts remote sensing based urban green space mapping? Z. Hu et al. https://doi.org/10.1016/j.jag.2024.104178
- A detection of street trees and green space: Understanding contribution of urban trees to climate change mitigation X. Lian et al. https://doi.org/10.1016/j.ufug.2024.128561
- LGCANet: Local–Global and Change-Aware Network via Segment Anything Model for Remote Sensing Images Change Detection K. Jiang & C. Wu https://doi.org/10.1109/TGRS.2025.3582784
- Will extreme heat inhibit the cooling effects of urban blue-green spaces? Case study of the Yangtze River Delta urban agglomeration J. Chen et al. https://doi.org/10.1016/j.buildenv.2026.115177
- A Very High-Resolution Urban Green Space from the Fusion of Microsatellite, SAR, and MSI Images F. Ramdani https://doi.org/10.3390/rs16081366
- The impact of 2D/3D building morphology and green spaces on urban heat environments: Relative contributions, interaction and marginal effects D. Bai et al. https://doi.org/10.1016/j.ecolind.2025.114296
- Deep learning in urban green space extraction in remote sensing: a comprehensive systematic review Y. Huang et al. https://doi.org/10.1080/01431161.2024.2424511
- A Framework for Analyzing Spatial Heterogeneity and Influencing Factors of Campus Green Space in Xi’an, China Z. Zang et al. https://doi.org/10.1007/s11769-025-1524-3
- A Novel Hybrid Method for Urban Green Space Segmentation from High-Resolution Remote Sensing Images W. Wang et al. https://doi.org/10.3390/rs15235472
- UTFNet: Uncertainty-Guided Trustworthy Fusion Network for RGB-Thermal Semantic Segmentation Q. Wang et al. https://doi.org/10.1109/LGRS.2023.3322452
- Micro-scale diurnal thermal regimes and heat-carbon spatial decoupling in the downtown of Beijing Y. Liu et al. https://doi.org/10.1016/j.uclim.2026.102848
- Reconstructing urban vegetation evolution in China using multimodal deep learning and 30-years Landsat archive Y. Han et al. https://doi.org/10.1016/j.ufug.2024.128582
- The impact of Urban residential areas on bird diversity: A case study from Harbin, Northeast China Y. Dong et al. https://doi.org/10.1016/j.habitatint.2025.103463
- Mapping Urban Functional Areas Using Multisource Remote Sensing Images and Open Big Data Y. Chen et al. https://doi.org/10.1109/JSTARS.2023.3308051
- Efficient Rural Building Segmentation via a Multilevel Decoding Network B. Xu et al. https://doi.org/10.1109/JSTARS.2023.3344210
- A Lightweight Change Detection Network Based on Feature Interleaved Fusion and Bistage Decoding M. Wang et al. https://doi.org/10.1109/JSTARS.2023.3344635
- A multi-scale feature fusion framework for urban functional zone identification using automatic ensemble learning method Y. Wang et al. https://doi.org/10.3389/frsc.2026.1736773
- Urban vegetation productivity under climate change and increasing urbanization: Insights from both urban-rural comparison and trend analysis for global cities J. Chen et al. https://doi.org/10.1016/j.ufug.2025.128950
- Why same datasets yield different environment–activity relationships? Hidden uncertainties in geospatial processing methods H. Shi et al. https://doi.org/10.1016/j.compenvurbsys.2025.102398
- Research on the Coupling Relationship between Land-Use Performance and Land Preference of Urban Greenways: A Case Study of Shenyang, China W. Shan et al. https://doi.org/10.1061/JUPDDM.UPENG-5258
- LargeRSDet: A Large Mini-Batch Object Detector for Remote Sensing Images H. Zhu et al. https://doi.org/10.1109/LGRS.2023.3345946
- Building Height Extraction Based on Joint Optimal Selection of Regions and Multiindex Evaluation Mechanism J. Chang et al. https://doi.org/10.1109/TGRS.2023.3347272
- Multi-type and fine-grained urban green space function mapping based on BERT model and multi-source data fusion S. Cao et al. https://doi.org/10.1080/17538947.2024.2308723
- An Integrated Resilience–Risk “4R-3r” Model for Measuring Community Disaster Resilience (CDR) X. Chen & W. Teng https://doi.org/10.3390/land15060983
- Synergistic optimization of ecological supply–demand: Integrating urban green space ecosystem services and dual ecological demands across multiple scenarios G. Lin et al. https://doi.org/10.1016/j.ecolind.2025.114133
- Beyond correlation: Unveiling the causal link between streetscapes and recreational walking/cycling L. Xu et al. https://doi.org/10.1016/j.jtrangeo.2026.104789
- Urban Vegetation Extraction from High-Resolution Remote Sensing Imagery on SD-UNet and Vegetation Spectral Features N. Lin et al. https://doi.org/10.3390/rs15184488
- Vegetation Classification and Extraction of Urban Green Spaces Within the Fifth Ring Road of Beijing Based on YOLO v8 B. Li et al. https://doi.org/10.3390/land14102005
- Rapid urbanization reshapes the spatial-seasonal alignment of green environments: Unveiling the provision-persistence gap for residents across 295 Chinese cities J. Hu et al. https://doi.org/10.1016/j.jclepro.2026.148880
- Context-dependent effects of land-sparing and land-sharing strategies on urban bird diversity Q. Han et al. https://doi.org/10.1007/s10980-026-02451-7
- Identifying cropland non-agriculturalization with high representational consistency from bi-temporal high-resolution remote sensing images: From benchmark datasets to real-world application Z. Sun et al. https://doi.org/10.1016/j.isprsjprs.2024.05.011
- High-Resolution (0.9 m) terrace mapping in Low-Latitude hilly regions using deep learning and Area–Slope Denoising: A case study from Guangdong Province, China Y. Zhao et al. https://doi.org/10.1016/j.jag.2026.105126
- Exploring socio-spatial mechanisms underlying urban activity patterns: A data-driven study of Chinese megacities L. Zhang et al. https://doi.org/10.1016/j.cities.2026.107076
- Identifying Potential Urban Greenways by Considering Green Space Exposure Levels and Maximizing Recreational Flows: A Case Study in Beijing’s Built-Up Areas T. Liu et al. https://doi.org/10.3390/land13111793
- Resilience assessment of subway system to waterlogging disaster F. Xu et al. https://doi.org/10.1016/j.scs.2024.105710
- Fine-Grained Building Extraction With Multispectral Remote Sensing Imagery Using the Deep Model Z. Wang et al. https://doi.org/10.1109/TGRS.2023.3327370
- High-resolution greenspace dynamic data cube from Sentinel-2 satellites over 1028 global major cities S. Wu et al. https://doi.org/10.1038/s41597-024-03746-7
- A Review on Recent Deep Learning-Based Semantic Segmentation for Urban Greenness Measurement D. Lee et al. https://doi.org/10.3390/s24072245
- Fine-Grained Image Recognition Methods and Their Applications in Remote Sensing Images: A Review Y. Chu et al. https://doi.org/10.1109/JSTARS.2024.3482348
- Recurrent Adaptive Graph Reasoning Network With Region and Boundary Interaction for Salient Object Detection in Optical Remote Sensing Images J. Zhao et al. https://doi.org/10.1109/TGRS.2024.3421950
- Neighboring matters: quantifying internal morphology and external spatial interactions on land surface temperature among urban functional zones H. Cheng et al. https://doi.org/10.1016/j.scs.2025.106689
- Examining the direct and indirect impacts of urbanization on vegetation net primary productivity across Chinese cities Y. Zhao et al. https://doi.org/10.1016/j.agrformet.2025.110815
- Contrasting effects of urbanization on vegetation between the Global South and Global North J. Chen et al. https://doi.org/10.1038/s41893-025-01520-0
- Future urban ecological land transition and its implications for high-heat exposure in China R. Feng et al. https://doi.org/10.1016/j.scs.2024.105590
- Relative importance of park features and within-park configuration in shaping butterfly diversity in Beijing Z. Xiao et al. https://doi.org/10.1016/j.ufug.2026.129660
- Daily ecological resilience dynamics under multiple hazards for spatially explicit ecological intervention strategies: Insights from Beijing’s 2023 extreme rainfall event Y. Hu et al. https://doi.org/10.1007/s10980-025-02292-w
- Unraveling the increasing burden of allergies: Spatiotemporal dynamics of pollen allergy risk in China B. Cao et al. https://doi.org/10.1016/j.eehl.2026.100267
- Exploring recreational walking and its correlated built environment factors in river corridor space through a trajectory sematic-based approach H. Shi et al. https://doi.org/10.1016/j.ufug.2025.128767
- Vertical planning and optimization strategies of green measures in urban flood control: combining automated land use segmentation with integrated hydrodynamic calculations W. Feng et al. https://doi.org/10.1016/j.watres.2025.124266
- DSAT-Net: Dual Spatial Attention Transformer for Building Extraction From Aerial Images R. Zhang et al. https://doi.org/10.1109/LGRS.2023.3304377
- Beyond Homogenization: Spatio-Temporal Dynamics of Urban Vitality and the Nonlinear Role of Built Environment in Shenyang’s Historic Urban Area Z. Wang et al. https://doi.org/10.3390/land15030431
- The effects of urban green infrastructures on the housing market X. Liu et al. https://doi.org/10.1016/j.habitatint.2025.103629
- NGRDI-DCNLab: Integrating Spectral Prior and Deformable Convolution for Urban Green Space Extraction from High-Resolution RGB Remote Sensing Imagery B. Lin et al. https://doi.org/10.3390/land15030486
- Investigating the Heterogeneity Effects of Urban Morphology on Building Energy Consumption from a Spatio-Temporal Perspective Using Old Residential Buildings on a University Campus J. Ma et al. https://doi.org/10.3390/land13101683
- An Improved YOLOv5s Model for Intelligent Recognition of Small Ships with Remote Sensing 春. 陈 https://doi.org/10.12677/gst.2024.123031
- How Green Space Exposure Is Associated with Social Vulnerability in the Highly Urbanized Xuhui District, Shanghai C. Ji et al. https://doi.org/10.3390/land15020272
- A more detailed park prescription: How does landscape support human health behavior? B. Liu et al. https://doi.org/10.3389/fpubh.2025.1696097
Saved (final revised paper)
Latest update: 27 Oct 2026
Short summary
A large-scale and high-resolution urban green space (UGS) product with 1 m of 31 major cities in China (UGS-1m) is generated based on a deep learning framework to provide basic UGS information for relevant UGS research, such as distribution, area, and UGS rate. Moreover, an urban green space dataset (UGSet) with a total of 4454 samples of 512 × 512 in size are also supplied as the benchmark to support model training and algorithm comparison.
A large-scale and high-resolution urban green space (UGS) product with 1 m of 31 major cities in...
Altmetrics
Final-revised paper
Preprint