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). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Terre.tpdc.272662. CSTR: 18406.11.Terre.tpdc.272662. (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

To respect the intellectual property rights, protect the rights of data authors, expand services of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). For re-posting (second or multiple releases) data, the author must also indicate the source of the original data.

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