The Monitoring of the Winter Wheat Leaf Area Index Based on HJ-1 CCD Dada

doi:10.6046/gtzyyg.2010.02.12

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Abstract

With Yucheng County in Shandong Province as the study area, the authors estimated the LAI based on HJ-1 data and calculated four vegetation indices (NDVI, RVI, SAVI, EVI) to analyze their relationship with the observed LAI. A comparison of the four models has proved that the relationships between LAI and the four vegetation indices are all acceptable, and RVI seems to be the best parameter for estimating LAI (LAI=2.967ln RVI-1.201). With the RVI-LAI model, LAI map of Yucheng was retrieved in May 2009, with the average error being 19% or so, which suggests that the model achieves a high precision.

Keywords Sanjiang Region of Tibet Gold Deposit The five elements of remote sensing

Issue Date: 29 June 2010

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Cite this article:

CHEN Xue-Yang, MENG Ji-Hua, DU Xin, ZHANG Fei-Fei, ZHANG Miao, WU Bing-Fang. The Monitoring of the Winter Wheat Leaf Area Index Based on HJ-1 CCD Dada[J]. REMOTE SENSING FOR LAND & RESOURCES,2010, 22(2): 55-58.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2010.02.12 OR https://www.gtzyyg.com/EN/Y2010/V22/I2/55

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