Monthly FAPAR production at 1 KM in Heihe Rivers Basin (2012)- A Big Earth Data Platform for Three Poles

Firstly, the canopy reflectance is expressed as a function of a series of parameters, such as Lai / fAPAR, wavelength, soil and leaf reflectance, aggregation index, incidence and observation angle. For several key parameters, the parameter table is established as the input of inversion. Then input the surface reflectance data and land cover data after preprocessing, and use the LUT method to retrieve the fAPAR products. See the reference for detailed algorithm.

Image format: TIF

Image size: about 1m per scene

Time frame: 2012

Time resolution: month by month

Spatial resolution: 1km

File naming and required software

. TIF format storage

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Cite as:

Fan, W. (2015). Monthly FAPAR production at 1 KM in Heihe Rivers Basin (2012). A Big Earth Data Platform for Three Poles, DOI: 10.3972/heihe.088.2014.db. CSTR: 18406.11.heihe.088.2014.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 )

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