The global land surface characteristic parameter (LAI) product was used with a spatial resolution of 5 km. The product uses generalized regression neural network method to retrieve Lai from AVHRR surface reflectance data. In this study, 12 issues of Lai data products from June to August of each year in five Central Asian countries, Mongolia and Northern China from 1981 to 2017 were downloaded from the national science and technology infrastructure platform National Earth System Science Data Center. These images are cropped by ArcGIS software, and the maximum value is calculated to obtain the spatiotemporal data set of the largest Lai. Among them, five Central Asian countries include Turkmenistan, Kyrgyzstan, Kazakhstan, Tajikistan and Uzbekistan; northern China refers to the area north of the Yangtze River in China.

File naming and required software

File name: the maximum leaf area index data is stored in TIF format, and the file name is "EA"_ north_ max_ yyyy.tif ”Where yyyy represents the year, such as ea_ north_ max_ TIF represents the largest leaf area index of northern Eurasia in 1981.
Data reading mode: can be directly opened with ArcGIS software.

Data Citations Data citation guideline What's data citation?

Cite as:

Zhang, N. (2021). Maximum leaf area index data set of northern Eurasia (1981-2017). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Ecolo.tpdc.271153. CSTR: 18406.11.Ecolo.tpdc.271153. (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

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)