Ecological environment dataset of the Pan-third Pole region (2000-2015)

Ecological environment dataset of the Pan-third Pole region (2000-2015)


1) Data content: the main ecological environment data retrieved from remote sensing in Pan third polar region, including PM2.5 concentration, forest coverage, Evi, land cover, and CO2; 2) data source and processing method: PM2.5 is from the atmospheric composition analysis group web site at Dalhousie University, and the forest coverage data is from MODIS Vegetation continuum Fields (VCF), CO2 data from ODIAC fossil fuel emission dataset, EVI data from MODIS vehicle index products, and land cover data from ESA CCI land cover. 65 pan third pole countries and regions are extracted, and others are not processed; 3) data quality description: the data time series from 2000 to 2015 is good; 4) data application achievements and prospects: it can be used for the analysis of ecological environment change.


File naming and required software

File name:*** Year.tif ; data reading mode: all versions of ArcGIS


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Cite as:

Li, G. (2020). Ecological environment dataset of the Pan-third Pole region (2000-2015). 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

Pan-Third Pole Environment Study for a Green Silk Road-A CAS Strategic Priority A Program (No:XDA20000000)

Copyright & License

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


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Keywords
Geographic coverage
East: 178.00 West: 178.00
South: 11.00 North: 77.00
Details
  • Temporal resolution: Yearly
  • Spatial resolution: 100m - 1km
  • File size: 270,000 MB
  • Views: 2658
  • Downloads: 75
  • Access: Open Access
  • Temporal coverage: 2000-01-01 To 2000-11-01
  • Temporal coverage: 2015-12-31
  • Updated time: 2022-04-15
Contacts
: LI Guangdong  

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

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