Articles | Volume 14, issue 8
https://doi.org/10.5194/essd-14-3649-2022
© 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-14-3649-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Mapping 10 m global impervious surface area (GISA-10m) using multi-source geospatial data
Xin Huang
School of Remote Sensing and Information Engineering, Wuhan
University, Wuhan 430079, PR China
State Key Laboratory of Information Engineering in Surveying, Mapping
and Remote Sensing,
Wuhan University, Wuhan 430079, PR China
Jie Yang
CORRESPONDING AUTHOR
School of Remote Sensing and Information Engineering, Wuhan
University, Wuhan 430079, PR China
Wenrui Wang
School of Remote Sensing and Information Engineering, Wuhan
University, Wuhan 430079, PR China
Zhengrong Liu
School of Remote Sensing and Information Engineering, Wuhan
University, Wuhan 430079, PR China
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26 citations as recorded by crossref.
- A review of crowdsourced geographic information for land-use and land-cover mapping: current progress and challenges H. Wu et al. 10.1080/13658816.2024.2379468
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- China Building Rooftop Area: the first multi-annual (2016–2021) and high-resolution (2.5 m) building rooftop area dataset in China derived with super-resolution segmentation from Sentinel-2 imagery Z. Liu et al. 10.5194/essd-15-3547-2023
- Automatic impervious surface mapping in subtropical China via a terrain-guided gated fusion network Z. Li et al. 10.1016/j.jag.2023.103608
- High-resolution satellite images reveal the prevalent positive indirect impact of urbanization on urban tree canopy coverage in South America J. Guo et al. 10.1016/j.landurbplan.2024.105076
- Optimal spectral index and threshold applied to Sentinel-2 data for extracting impervious surface: Verification across latitudes, growing seasons, approaches, and comparison to global datasets Y. Dvornikov et al. 10.1016/j.jag.2023.103470
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- A multi-scale weakly supervised learning method with adaptive online noise correction for high-resolution change detection of built-up areas Y. Cao et al. 10.1016/j.rse.2023.113779
- Annual Solar Geoengineering: Mitigating Yearly Global Warming Increases A. Feinberg 10.3390/cli12020026
- A large-scale extraction framework for mapping urban in-formal settlements using remote sensing and semantic segmentation Y. Zhang et al. 10.1080/10106049.2024.2345135
- CALC-2020: a new baseline land cover map at 10 m resolution for the circumpolar Arctic C. Liu et al. 10.5194/essd-15-133-2023
- A New Technique for Urban and Rural Settlement Boundary Extraction Based on Spectral–Topographic–Radar Polarization Features and Its Application in Xining, China X. Li et al. 10.3390/rs16061091
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Latest update: 21 Nov 2024
Short summary
Using more than 2.7 million Sentinel images, we proposed a global ISA mapping method and produced the 10-m global ISA dataset (GISA-10m), with overall accuracy exceeding 86 %. The inter-comparison between different global ISA datasets showed the superiority of our results. The ISA distribution at urban and rural was discussed and compared. For the first time, courtesy of the high spatial resolution, the global road ISA was further identified, and its distribution was discussed.
Using more than 2.7 million Sentinel images, we proposed a global ISA mapping method and...
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