Digital Heihe

LAI production of in 1KM of the Heihe River Basin (2000-2012)

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 invert LAI products by look-up table (LUT) method.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

Copyright & License

File naming: the data is stored in grid tif format, the file name "Ayyyydddh25v04lai_sg.tif", where yyyy represents the year and DDD represents the day, such as A2000049h25v04lai_sg.tif, represents the LAI product data on the 49th day of 2000.</p><p>Data reading: Arcgis, Envi and other remote sensing software can be used to open and read.

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Cite as:

Fan, W. (2015). < b>LAI production of in 1KM of the Heihe River Basin (2000-2012)</b>2015. doi: 10.3972/heihe.090.2014.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.

References literature

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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