Landsat-based continuous monthly 30m LAI Dataset in Qilian mountain area in 2020 (V1.0)

Landsat-based continuous monthly 30m LAI Dataset in Qilian mountain area in 2020 (V1.0)


This data set includes the monthly synthesis of 30m LAI products in Qilian mountain area in 2020. Max value composition (MVC) method was used to synthesize monthly LAI products on the surface using the reflectivity data of Landsat 8 and sentinel 2 channels from Red and NIR channels.


File naming and required software

File Naming Convention: LAI_YYYYMM-N.tif (YYYY: year, MM: month, N: division number)
Data Version:V1.0
Projection:+proj=longlat +datum=WGS84 +no_defs
Data Format: GeoTIFF
NDVI Unit:None
Scale Factor:0.001
Valid Range:0 - 10000
Filled Value:0


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

Wu, J., Zhong, B. (2021). Landsat-based continuous monthly 30m LAI Dataset in Qilian mountain area in 2020 (V1.0). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Ecolo.tpdc.271548. CSTR: 18406.11.Ecolo.tpdc.271548. (Download the reference: RIS | Bibtex )

Related Literatures:

1. Zhao J., et al. Estimating fractional vegetation cover from leaf area index and clumping index based on the gap probability theory. International Journal of Applied Earth Observation and Geoinformation 90, 102-112 (2020).( View Details | 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: 107.00 West: 89.00
South: 34.00 North: 45.00
Details
  • Temporal resolution: Monthly
  • Spatial resolution: 1m - 10m
  • File size: 14,540 MB
  • Views: 1758
  • Downloads: 29
  • Access: Open Access
  • Temporal coverage: 2020-01-01 To 2020-12-31
  • Updated time: 2021-06-24
Contacts
: WU Junjun   ZHONG Bo  

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

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