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1:100000 mapset of desert distribution in the Yellow River Upstream
  • 2020/12/22 00:45
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English name
1:100000 mapset of desert distribution in the Yellow River Upstream
CSTR
CSTR:11738.11.ncdc.nieer.2020.1534
DOI
10.12072/ncdc.nieer.db2981.2023
Share type
Online
Category
Desert
source site
Platform service center
contributors
Xue Xian
Datasets description

  This dataset is based on the 1:100000 distribution map of deserts in China, tailored according to watershed boundaries, and focuses on reflecting the geographical distribution, area size, sand dune mobility, and fixation degree of deserts, sandy land, and Gobi in the upper reaches of the Yellow River. The information source of this dataset is Landsat TM images from 2000. Using remote sensing and geographic information system technology, thematic mapping of deserts, sandy areas, and Gobi in China was conducted according to the 1:100000 scale thematic mapping requirements

Base information
collect time 2000/01/01  -  2000/12/01
collect place Upper Yellow River
data size 40.8 MiB
data format dbf
Coordinate system WGS84
Data thumbnail
Data source description

  This dataset is divided into desert and non desert categories, with a non desert code of 999. Deserts are divided into three categories: desert (land), Gobi, and saline alkali land, with classification codes of 23410, 2342000, and 2343000, respectively. Deserts are divided into four categories, namely mobile deserts, semi mobile deserts, semi fixed deserts, and fixed deserts. Their classification codes are 2341010, 2341020, 2341030, and 2341040, respectively

Data processing method

This dataset is based on the 1:100000 distribution map of deserts in China, and is cropped according to watershed boundaries. The information source of this dataset is Landsat TM images from 2000. Using remote sensing and geographic information system technology, thematic mapping of deserts, sandy areas, and Gobi in China was conducted according to the 1:100000 scale thematic mapping requirements. According to the system design requirements and relevant standards, standardize the input data and unify it into standard formats for various data inputs

Data quality description

  The data quality is good

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.
None

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. Xue Xian. 1:100000 mapset of desert distribution in the Yellow River Upstream. National Cryosphere Desert Data Center(http://www.ncdc.ac.cn), 2020. https://cstr.cn/CSTR:11738.11.ncdc.nieer.2020.1534.
  2. Xue Xian. 1:100000 mapset of desert distribution in the Yellow River Upstream. National Cryosphere Desert Data Center(http://www.ncdc.ac.cn), 2020. https://www.doi.org/10.12072/ncdc.nieer.db2981.2023.
license agreement
Creative Commons License   This work is licensed under a Creative Commons Attribution 4.0 International License.
# title file size
1 110万黄河上游沙漠分布图.zip 40.8 MiB
2 _ncdc_meta_.json 3.8 KiB
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How to get the data 
east 112.00
west  95.00
south  32.00
north  42.00
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Service information
contacts:
Min Yufang
phone:
0931-4967596
mailbox:
ncdc@lzb.ac.cn
Contact information
contributors:
Xue Xian
author:
DuHeqiang
manager:
Xue Xian

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