Image format: tif
Image size: about 925M per scene
Time range: may-october 2012
Time resolution: month
Spatial resolution: 30m
The algorithm firstly adopts the canopy BRDF model and presents the canopy reflectivity as a function of a series of parameters such as FAPAR, wavelength, reflectance 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 invert LAI/FAPAR products by look-up table (LUT) method. See references for detailed algorithm.
File name: the data is stored in raster tif format, the file name "HEIHE_yyyymm_FAPAR_30M. Tif", where yyyy represents the year and mm represents the month, For example, HEIHE_201205_FAPAR_30M. Tif, representing the 30 m FAPAR data of heihe basin in May 2012.</p><p>Data reading: Arcgis, Qgis and other remote sensing software can be used to open and read.
1. Fan, W. , Liu, Y. , Xu, X. , Chen, G. , & Zhang, B. . (2014). A new fapar analytical model based on the law of energy conservation: a case study in china. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7(9), 3945-3955.(View Details)
Cite as:(2015). < b>Heihe 30m FAPAR production (2012)</b>2015. doi: 10.3972/heihe.091.2014.db. (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.
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 )
2.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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Spatial coverage |
East:102.1548642 South:37.7401842 |
West:97.3520258 North:42.6893038 |
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