1:100,000 landuse data in the Yellow River Upstream (2005)

1:100,000 landuse data in the Yellow River Upstream (2005)


Ⅰ. Overview

This data set is based on Landsat MSS, TM and ETM Remote sensing data by means of satellite remote sensing. Using a hierarchical land cover classification system, the data divides the whole region into six first-class classifications (cultivated land, forest land, grassland, water area, urban and rural areas, industrial and mining land, residential land and unused land), and 31 second-class classifications.

Ⅱ. Data processing description

The data set is based on Landsat MSS, TM and ETM Remote sensing data as the base map, the data set projection is set as Alberts equal product projection, the scale is set at 1:24,000 for human-computer interactive visual interpretation, and the data set storage form is ESRI coverage format.

Ⅲ. Data content description

The data set adopts a hierarchical land cover classification system, which is divided into 6 first-class classifications (cultivated land, forest land, grassland, water area, urban and rural areas, industrial and mining land, residential land and unused land), and 31 second-class classifications.

Ⅳ. Data use description

The data can be mainly used in national land resources survey, climate change, hydrology and ecological research.


File naming and required software

The data is stored in vector format and can be opened with remote sensing software such as ArcGIS and QGIS


Data Citations Data citation guideline What's data citation?
Cite as:

Xue, X., Du, H. (2015). 1:100,000 landuse data in the Yellow River Upstream (2005). A Big Earth Data Platform for Three Poles, (Download the reference: RIS | Bibtex )

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.


Support Program

(No:2011CB403306)

Copyright & License

To respect the intellectual property rights, protect the rights of data authors, expand services of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). For re-posting (second or multiple releases) data, the author must also indicate the source of the original data.


License: This work is licensed under an Attribution 4.0 International (CC BY 4.0)


Related Resources
Comments

Current page automatically show English comments Show comments in all languages

Download Follow
Keywords
Geographic coverage
East: 112.00 West: 95.00
South: 32.00 North: 42.00
Details
  • Temporal resolution: Yearly
  • Spatial resolution: 10m - 100m
  • File size: 84 MB
  • Views: 6,185
  • Downloads: 28
  • Access: Requestable
  • Temporal coverage: 2005-01-10 To 2006-01-09
  • Updated time: 2021-04-19
Contacts
: XUE Xian   DU Heqiang  

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

Export metadata