Articles | Volume 14, issue 4
https://doi.org/10.5194/essd-14-1831-2022
© Author(s) 2022. 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-14-1831-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
GISD30: global 30 m impervious-surface dynamic dataset from 1985 to 2020 using time-series Landsat imagery on the Google Earth Engine platform
Xiao Zhang
State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
Tingting Zhao
State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
College of Geomatics, Xi'an University of Science and Technology, Xi'an 710054, China
Yuan Gao
State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
Xidong Chen
State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
Jun Mi
State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
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- National-scale imperviousness mapping and detection of urban land changes S. Xu & S. Fina
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- High-Resolution Global Land Cover Maps and Their Assessment Strategies Q. Xu et al.
- Automatic Multi-Temporal Land Cover Mapping with Medium Spatial Resolution Using the Model Migration Method R. Chen et al.
- Global urban flood dynamics and future vulnerability assessment: a comprehensive study of trends, predictions, and mitigation A. Mondal & R. Garg
- Development of a 30 m resolution global sand dune/sheet classification map (GSDS30) using multi-source remote sensing data Z. Zheng et al.
- A spatial-explicit analysis of influencing factors of observed floods in the Yangtze River Delta, China C. Zhou et al.
- Estimating Large-Scale Interannual Dynamic Impervious Surface Percentages Based on Regional Divisions T. Xu et al.
- Global urban and rural settlement dataset from 2000 to 2020 Z. Liu et al.
- Mapping 30m China annual impervious surface from 1992 to 2021 via a multi-level classification approach Y. Tao et al.
- GLC_FCS30D: the first global 30 m land-cover dynamics monitoring product with a fine classification system for the period from 1985 to 2022 generated using dense-time-series Landsat imagery and the continuous change-detection method X. Zhang et al.
- Impact of cropland use changes based on non-agriculturalization, non-grainization and abandonment on grain potential production in Northeast China L. Pu
- Improving digital mapping of soil organic matter in cropland by incorporating crop rotation Y. Liu et al.
- Tracing trajectories and co-evolution of metropolitan urbanization in the United States, Europe, and China M. Huang & S. Zhao
- Extensive terrestrial biodiversity threats from global hillside urban expansion K. Shi et al.
- Tracking gain and loss of impervious surfaces by integrating continuous change detection and multitemporal classifications from 1985 to 2022 in Beijing X. Zhang et al.
- An automatic, rapid and continuous impervious surface mapping framework based on historical land cover datasets L. Sun et al.
- Cropland dynamics and driving mechanisms in Changsha (2000−2020) using google earth engine and an optimal-parameter geographic detector Y. Yu et al.
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Latest update: 11 May 2026
Short summary
Accurately mapping impervious-surface dynamics has great scientific significance and application value for research on urban sustainable development, the assessment of anthropogenic carbon emissions and global ecological-environment modeling. In this study, a novel and accurate global 30 m impervious surface dynamic dataset (GISD30) for 1985 to 2020 was produced using the spectral-generalization method and time-series Landsat imagery on the Google Earth Engine cloud computing platform.
Accurately mapping impervious-surface dynamics has great scientific significance and application...
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