估算热带湿润森林植被指数对叶面积指数敏感性的过渡函数参数

IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data, 2003 Pub Date : 2003-10-27 DOI:10.1109/WARSD.2003.1295189

M. Kalacska, G. Sánchez-Azofeifa, B. Rivard, J. Calvo-Alvarado

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引用次数: 0

摘要

非线性过渡函数(Lorentzian cumulative function)最能表征热带湿润森林的叶面积指数(LAI)与光谱植被指数(SVI)之间的关系。函数的三个参数(过渡高度、中心和半宽度)描述了指数对LAI值范围的敏感性。从测试的svi来看，修正单一比率(MSR)在该环境下对LAI的敏感性最好，对LAI在0.0-4.7之间的变化敏感。

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Estimation of transition function parameters to evaluate the sensitivity of vegetation indices to leaf area index in a tropical moist forest

A non-linear transition function (Lorentzian cumulative function) best represented the relationship between leaf area index (LAI) and spectral vegetation indices (SVI) calculated from a Landsat ETM+ image from a tropical moist forest. The three parameters of the function (transition height, center and half-width) describe the sensitivity of the index to a range of LAI values. From the SVIs tested, the Modified Single Ratio (MSR) had best sensitivity to LAI in this environment being sensitive to changes in LAI from 0.0-4.7.

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IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data, 2003

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