Landsat multi-spectral remote sensing images dataset of pan-third pole key points region (2000-2016)

Landsat multi-spectral remote sensing images dataset of pan-third pole key points region (2000-2016)


The data sources of this dataset are the first to seventh bands of the top-of-atmosphere (TOA) reflectance data of Landsat-5 and landsat-8 satellites. Landsat satellites are sun synchronous satellite with a repetition period of 16 days. Based on the data of Landsat-5 and landsat-8 TOA reflectance from 2000 to 2016, this dataset mainly covers the pan third polar key points region in Southeast Asia and the Middle East. It uses Google Earth engine cloud computing platform to clip the data of the study area, and finally gets the 30-meter resolution multi spectral remote sensing image data of the pan third polar region 2000-2016 in TIFF format.


File naming and required software

In .tif format, can be opened and analysed in ARCGIS and ENVI softwares.


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Cite as:

Ge, Y., Ling, F., Zhang, Y. (2020). Landsat multi-spectral remote sensing images dataset of pan-third pole key points region (2000-2016). A Big Earth Data Platform for Three Poles, (Download the reference: RIS | Bibtex )

Related Literatures:

1. U.S. Geological Survey, 2016, Landsat—Earth observation satellites (ver. 1.1, August 2016): U.S. Geological Survey Fact Sheet 2015–3081, 4 p., http://dx.doi.org/10.3133/fs20153081.( View Details | Bibtex)

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


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: 102.00 West: 97.00
South: 37.00 North: 42.00
Details
  • Temporal resolution: Daily
  • Spatial resolution: 1m - 10m
  • File size: 676,520 MB
  • Views: 3013
  • Downloads: 12
  • Access: Open Access
  • Temporal coverage: 2000-01-11 To 2017-01-10
  • Updated time: 2021-04-19
Contacts
: GE Yong   LING Feng   ZHANG Yihang  

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

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