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Qinghai-Tibet Plateau Lake Semantic Segmentation Dataset
  • 2021/05/14 15:30
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English name
Qinghai-Tibet Plateau Lake Semantic Segmentation Dataset
CSTR
CSTR:11738.11.ncdc.NIEER.2021.1971
DOI
10.12072/ncdc.NIEER.db0112.2021
Share type
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Category
Basic Geography
contributors
Wang zhaobin , Zhang Yaonan , Gao xiong
Datasets description

 This dataset is a visible-spectrum Google Earth remote sensing dataset of lake water bodies on the Qinghai-Tibet Plateau, covering the entire plateau region and composed of RGB images. It contains 6,774 images with a resolution of 256×256 pixels, 96 DPI, and 24-bit depth. In this dataset, only lakes (excluding rivers, reservoirs, ponds, etc.) are annotated, and all annotations were labeled using the labelme tool.

Base information
collect time 2020/08/01  -  2020/08/31
collect place Qinghai-Tibet Plateau
altitude 3000.0m - 5000.0m
data size 520.5 MiB
Data spatial resolution (/ M) 17m
Data thumbnail
Data source description

 Google Earth.

Data processing method

 To ensure the model's learning capability for samples, we divided the images into non-overlapping patches and applied a data balancing strategy. Images with excessively high proportions of negative samples were discarded.

Data quality description

 256*256.

Project information
# number name type
1 E01Z7902 other
2 XXH-13514-0209 other
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users are requested to mark and quote the research results (including published papers, treatises, data products, unpublished research reports, data products, etc.)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.
When using the data, please indicate that the data are from the national glacier, permafrost and desert scientific data center and Lanzhou University

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. Wang zhaobin, Zhang Yaonan, Gao xiong. Qinghai-Tibet Plateau Lake Semantic Segmentation Dataset. National Cryosphere Desert Data Center(http://www.ncdc.ac.cn), 2021. https://cstr.cn/CSTR:11738.11.ncdc.NIEER.2021.1971.
  2. Wang zhaobin, Zhang Yaonan, Gao xiong. Qinghai-Tibet Plateau Lake Semantic Segmentation Dataset. National Cryosphere Desert Data Center(http://www.ncdc.ac.cn), 2021. https://www.doi.org/10.12072/ncdc.NIEER.db0112.2021.
Papers to be cited
  1. Wang Zhaobin, Gao Xiong, Zhang Yaonan, Zhao Guohui. [J]. Remote Sensing, 2020, . [J]. 12, (24):4140. MSLWENet: A Novel Deep Learning Network for Lake Water Body Extraction of Google Remote Sensing Images[J].
    Reference format： Endnote Bibtex RIS
license agreement
# title file size
1 train_img.zip 513.5 MiB
2 train_label.zip 7.0 MiB
3 数据说明.txt 1.5 KiB
# category title author year
1 paper 2020
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How to get the data 
east 104.00
west  73.00
south  26.00
north  39.00
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Contact information
contributors:
Wang zhaobin , Zhang Yaonan , Gao xiong
author:
Wang zhaobin , Gao xiong
manager:
Wang zhaobin , Gao xiong
Platform Service information
contacts:
Li Hongxing
phone:
0931-4967592
mailbox:
ncdc@lzb.ac.cn

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