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Global Very-High-Resolution Landslide Mapping（GVLM） Dataset Version 1.0
  • 2026/03/25 10:02
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English name
Global Very-High-Resolution Landslide Mapping（GVLM） Dataset Version 1.0
CSTR
CSTR:11738.11.NCDC.LANDSLIDE.DB7211.2026
DOI
10.12072/ncdc.landslide.db7211.2026
Share type
Open Access
Category
Disaster
contributors
Zhang Xiaokang
Datasets description

 GVLM is the world's first large-scale, open-source VHR (ultra-high resolution) landslide mapping dataset, which not only provides valuable data resources for landslide research, but also provides a new benchmark for robust testing of change detection algorithms in complex natural scenes. The coverage area is 163.77km ², with a spatial resolution of 0.59m. Each sub dataset contains a pair of dual temporal images and corresponding ground truth maps.

Base information
collect time 2010/03/20  -  2021/04/15
data size 1000.6 MiB
Data spatial resolution (/ M) 0.59m
Data thumbnail
Data source description

 =The data is sourced from Google Earth.

Project information
# number name type
1 2018YFB1800800 National key R & D plan
2 41801323 National Natural Science Foundation of China
Citations and annotations
In order to protect the rights and interests of the platform's scientific and technological resources, expand the services of the platform center, and enhance the application potential of scientific and technological resources, resource users are requested to mark and quote the research results (including published papers, treatises, data products, unpublished research reports, data products, etc.) generated by the use of resources in the following manner.

For the achievements published in English, please refer to the following specifications： The dataset is provided by National Cryosphere Desert Data Center. (http://www.ncdc.ac.cn).

Data reference
  1. Zhang Xiaokang. Global Very-High-Resolution Landslide Mapping（GVLM） Dataset Version 1.0. National Cryosphere Desert Data Center(http://www.ncdc.ac.cn), 2026. https://cstr.cn/CSTR:11738.11.NCDC.LANDSLIDE.DB7211.2026.
  2. Zhang Xiaokang. Global Very-High-Resolution Landslide Mapping（GVLM） Dataset Version 1.0. National Cryosphere Desert Data Center(http://www.ncdc.ac.cn), 2026. https://www.doi.org/10.12072/ncdc.landslide.db7211.2026.
Papers to be cited
  1. Xiaokang Zhang and Weikang Yu and Man-On Pun and Wenzhong Shi. Cross-domain landslide mapping from large-scale remote sensing images using prototype-guided domain-aware progressive representation learning[J/OL]. ISPRS Journal of Photogrammetry and Remote Sensing, 2023, 197: 1-17. DOI: https://doi.org/10.1016/j.isprsjprs.2023.01.018.
    Reference format： Endnote Bibtex RIS
license agreement
# title file size
1 全球超高分辨率滑坡制图数据集（GVLM）1.0 版.zip 1000.6 MiB
# category title author year
1 paper Cross-domain landslide mapping from large-scale remote sensing images using prototype-guided domain-aware progressive representation learning Xiaokang Zhang and Weikang Yu and Man-On Pun and Wenzhong Shi 2023
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How to get the data 
It can be downloaded directly or via FTP, and it is recommended to download large data sets via FTP.
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Contact information
contributors:
Zhang Xiaokang
author:
Zhang Xiaokang
manager:
Zhang Xiaokang
Platform Service information
contacts:
Li Hongxing
phone:
0931-4967592
mailbox:
ncdc@lzb.ac.cn

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