Landsat-based continuous monthly 30m×30m Land Surface FVC Dataset in Qilian mountain area (V1.0)

Landsat-based continuous monthly 30m×30m Land Surface FVC Dataset in Qilian mountain area (V1.0)


This data set includes a monthly composite of 30 m × 30 m surface vegetation coverage products in the Qilian Mountain Area in 2019. In this paper, the maximum value composition (MVC) method is used to synthesize monthly NDVI products and calculate FVC by using the reflectance data of Landsat 8 and sentinel 2 red and near infrared channels. The data is monthly synthesized by Google Earth engine cloud platform, and the index is calculated by the model. The missing pixels are interpolated with good quality, which can be used in environmental change monitoring and other fields.


File naming and required software

File naming convention: FVC_ Yyyymm-n.tif (yyyy: year, mm: month, N: Tile Number)
Data version No.: v1.0
Projection + proj = longlat + datum = WGS84 + no_ defs
Data format: GeoTIFF
Unit: None
Scale factor: 0.001
Valid value range: 0 - 1000
Fill value: 0


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

Sun, Z., Chang, Q. (2013). Stream flow observations of Hulugou small watershed (July-September, 2012). A Big Earth Data Platform for Three Poles, DOI: 10.3972/heihe.088.2013.db. CSTR: 18406.11.heihe.088.2013.db. (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

Exploring snowmelt runoff processes using isotopic and hydrochemical data in Heihe River headwater catchments (No:91125009)

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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: 99.89 West: 99.88
South: 38.23 North: 38.24
Details
  • File size: 5 MB
  • Views: 7621
  • Downloads: 446
  • Access: Open Access
  • Temporal coverage: 2012-07-07 To 2012-09-15
  • Updated time: 2021-04-19
Contacts
: SUN Ziyong   CHANG Qixin  

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

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