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The Study on Multi-spectral Remote Sensing Estimation Models about LAI of Rice |
WANG Xiu-zhen1, HUANG Jing-feng2, LI Yun-mei3, WANG Ren-chao2
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(1.Zhejiang Institute of Meteorology,Hangzhou310004,China; 2.Institute of Agricultural Remote Sensing&Information Application,Zhejiang University, Hangzhou310029,China;3.The College of Geography Science,Nanjing Normal University,Jiangshu210097,China) |
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Abstract Through two years, rice farm experiment under the different nitrogenous level, by using ASD- FieldSpec spectral data of late rice in whole developing time have been collected. According to satellite sensors, spectral channels and spectral regions that have physical content, variable groups of multiple spectra can be constructed. Using linear and non-linear regression methods, the estimated models about LAI of rice have been built on the basis of the experiment data in 1999 acted as train sample and their precision has been evaluated and tested on the basis of the experiment data in 2000. In the multiple spectra variables,the vegetation indices are better than wide wave band variables and RVI is better than NDVI and the precision of non-linear regression methods is higher than one of linear regression methods in estimated LAI models. In all models of estimating LAI, the logarithm model of SPOT3/SPOT2 that is independent is the best one, because its root mean square error and relative error were least.
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Received: 19 August 2002
Published: 23 November 2011
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