| Technology and Methodology |
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The Correlation between LAI and Vegetation Index of Masson Pine |
| FU Yin-Zhen, WANG Xiao-Qin, JIANG Hong |
Key Laboratory of Spatial Data Mining & Information Sharing of Ministry of Education，
Spatial Information Research Center of Fujian Province， Fuzhou University， Fuzhou 350002， China |
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Abstract With Yongan City of Fujian Province as the study area, the authors investigated the best VIs for estimating LAI of masson pine. Several VIs were calculated from the IRS-P6(LISS-III) image, which included DVI， EVI2，MSAVI， NDVI， RDVI， RVI and TNDVI. The correlation between the measured LAI of masson pine using LI-COR LAI-2000 and VIs was established， and the effects on the LAI of masson pine were studied. The LAI estimation models based on different VIs were quantitatively analyzed with both R2 and standard error. The estimation models included linear model， quadratic curve model，exponential curve model and power curve model. The results show that there exists curvilinear correlation (exponential correlation or power correlation) between selected VIs and LAI of masson pine. The exponential curve model and the power curve model constitute the best inversion models， and TNDVI， NDVI and RVI are fairly good for inversing LAI of masson pine， in which the R2 of the exponential curve model and the power curve model are all larger than 0.76 and their verification R2 are all larger than 0.84， but the standard errors of RVI's inversion models are much larger than those of the other two models. In general，both the exponential curve model and the power curve model of TNDVI and NDVI can yield good results in estimating LAI of masson pine.
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| Keywords
Remote Sensing
GIS
Slope
Vegetation
Torrential rain
Soil erosion
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Issue Date: 20 September 2010
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2010,
Vol. 22
