Digital Heihe

FAPAR field measured datasets in Heihe basin (2011)

This data includes the fAPAR and Lai data collected in 2011. The acquisition equipment is SunScan and LAI-2000. Among them, fAPAR measures 4 times of spread value. The sampling points are located in Zhangye agricultural demonstration base on July 30, 2011, next to national highway 312 in Ejina banner on August 4, sandaoqiao in Ejina banner on August 5 and Jiuquan Satellite Launch Center on August 6, 2011. Around Zhangye from July 4 to July 15, 2012.

Copyright & License

File name: the data is stored in the form of XLS and vector SHP. The file name "2011FAPAR ground data statistical results. shp" refers to the location point of FAPAR ground data in 2011, and "2011FAPAR ground data statistical results. xls" refers to the ground statistics of FAPAR in 2011.</p><p>Data reading: the vector SHP file can be opened and read by remote sensing software such as Arcgis, and the form XLS can be opened by Office scanning software.

Data Citations
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Related Literatures:

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:

Fan, W. (2015). < b>FAPAR field measured datasets in Heihe basin (2011)</b>2015. doi: 10.3972/heihe.085.2014.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 )

3.Fan, W., Liu, Y., Xu, X., et al. (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 & Remote Sensing, 7(9), 3945-3955. (View Details |Download)

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