Landsat-based continuous monthly 30m×30m land surface LAI dataset in Qilian mountain area (1986-2017)-National Tibetan Plateau Data Center

This data set includes the monthly synthesis of 30m*30m surface LAI products in Qilian mountain area in 1986, 1990, 1995, 2000, 2005, 2010, 2015, and 2017. Max value composition (MVC) method was used to synthesize monthly LAI products on the surface using the reflectivity data of Landsat 5, Landsat 8 and sentinel 2 channels from Red and NIR channels. The data are synthesized monthly through Google Earth Engine cloud platform, and the missing pixels are interpolated by calculating the index of the model. The quality of the data is good, and it can be used in environmental change monitoring and other fields.

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 Jinhua, ZHONG Bo, WU Junjun. Landsat-based continuous monthly 30m×30m land surface LAI dataset in Qilian mountain area (1986-2017). National Tibetan Plateau Data Center, 2019. DOI: 10.11888/Geogra.tpdc.270135. (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)

Copyright & License

To respect the intellectual property rights, protect the rights of data authors,expand servglacials 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the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results).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.

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)