Landsat-based continuous monthly 30m LAI Dataset in Qilian mountain area in 2021 (V1.0)

Landsat-based continuous monthly 30m LAI Dataset in Qilian mountain area in 2021 (V1.0)


Leaf Area Index (LAI) is defined as half of the total Leaf Area within the unit projected surface Area, and is one of the core parameters used to describe vegetation. LAI controls many biological and physical processes of vegetation, such as photosynthesis, respiration, transpiration, carbon cycle and precipitation interception, and meanwhile provides quantitative information for the initial energy exchange on the surface of vegetation canopy. LAI is a very important parameter to study the structure and function of vegetation ecosystem. This data set includes the monthly synthesis of 30m LAI products in Qilian mountain area in 2021. 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., Li, Y., Zhong, B. (2022). Landsat-based continuous monthly 30m LAI Dataset in Qilian mountain area in 2021 (V1.0). National Tibetan Plateau Data Center, DOI: 10.11888/Terre.tpdc.272662. CSTR: 18406.11.Terre.tpdc.272662. (Download the reference: RIS | Bibtex )

Related Literatures:

1. Cihlar, J., Manak, D., & D'Iorio, M. (1994). Evaluation of Compositing Algorithms for AVHRR Data over Land. IEEE Transactions on Geoscience and Remote Sensing, 32(2), 427-437.( View Details | Bibtex)

2. Huete, A., Didan, K., Miura, T., Rodriguez, E.P., Gao, X., &Ferreira, L.G. (2002). Overview of The Radiometric and Biophysical Performance of The MODIS Vegetation Indices. Remote Sensing of Environment, 83(1-2), 195–213.( 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)

the Strategic Priority Research Program of the Chinese Academy of Sciences (No:XDA20100101) [XDA20100101]

Copyright & License

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Example of acknowledgement statement is included below: The data set is provided by National Tibetan Plateau Data Center (http://data.tpdc.ac.cn).


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: 10m - 100m
  • File size: 18,013 MB
  • Views: 834
  • Downloads: 22
  • Access: Requestable
  • Temporal coverage: 2021-01-01 To 2021-12-31
  • Updated time: 2022-06-21
Contacts
: WU Junjun    LI Yi   ZHONG Bo  

Distributor: National Tibetan Plateau Data Center

Email: data@itpcas.ac.cn

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