1:100,000 landuse data in the Yellow River Upstream (1990)- A Big Earth Data Platform for Three Poles

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 (1990). 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

the National Basic Research Program of China (No:2011CB403006)

Copyright & License

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