Heihe 1km FAPAR production (2000-2012)- A Big Earth Data Platform for Three Poles

The algorithm firstly adopts the canopy BRDF model and represents the canopy reflectivity as a function of a series of parameters such as LAI/FAPAR, wavelength, reflectivity of soil and leaves, aggregation index, incidence and observation Angle.The parameter table is established for several key parameters as the input of inversion.Then input the pre-processed surface reflectance data and land cover data, and use look-up table (LUT) inversion to obtain FAPAR products.See references for detailed algorithms.

Image format: tif

Image size: about 1M per scene

Time range: 2000-2012

Temporal resolution: 8 days

Spatial resolution: 1km

File naming and required software

File name: the data is stored in a grid tif format with the file name "Ayyyydddh25v04fpar_sg.tif", where yyyy represents the year and DDD represents the day, such as a2000049h25v04fpar_sg.tif, representing the FPAR product data on the 49th day of 2000.
Data reading: Arcgis, Envi and other remote sensing software can be used to open and read.

Data Citations Data citation guideline What's data citation?

Cite as:

Fan, W. (2015). Heihe 1km FAPAR production (2000-2012). A Big Earth Data Platform for Three Poles, DOI: 10.3972/heihe.089.2014.db. CSTR: 18406.11.heihe.089.2014.db. (Download the reference： RIS | Bibtex )

Related Literatures:

1. Liu, Y. , Fan, W. , Xu, X. , & Chen, G. . (2013). A new FAPAR retrieval model for continuous vegetation. doi:10.1109/IGARSS.2013.6723470( View Details | Bibtex)

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.

References literature

1.Liao, Y. , Fan, W. , & Xu, X. . (2013). Algorithm of leaf area index product for HJ-CCD over Heihe River Basin. IGARSS 2013 - 2013 IEEE International Geoscience and Remote Sensing Symposium. IEEE. (View Details )

Support Program

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