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COMPARISON OF BROAD-BAND AND NARROW-BAND RED AND NEAR-INFRARED VEGETATION INDICES

机译:宽带和窄带红色与近红外植被指数的比较

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An experiment has been conducted in which narrow-band field reflectance spectra were acquired of a roofed pinyon pine canopy with Fee different gravel backgrounds. Leaf area teas successively removed as the measurements were repeated. From these reflectance spectra, narrow-band and broad-band (AVHRR, TM, MSS) red and near-infrared (NIR) vegetation index values were calculated. The performance of the vegetation indices was evaluated based on their capability to accurately estimate leaf area index (LAI) and percent green cover. Background effects were found for each of the tested vegetation indices. However the background effects are most pronounced in the normalized difference vegetation index (NDVI) and ratio vegetation index (RVI). Background effects can be reduced using either the perpendicular vegetation index (PVI) or soil adjusted vegetation index (SAVI) formulations. The narrow-band versions of these vegetation indices had only slightly better accuracy than their broad-band counterparts. The background effects were minimized using derivative based vegetation indices, which measure the amplitude of the chlorophyll red-edge using continuous narrow-band spectra from 626 nm to 795 nm. [References: 26]
机译:已经进行了实验,其中获得了具有不同砾石背景的屋顶的针状松树冠层的窄带场反射光谱。随着测量的重复,相继移除叶面积茶。从这些反射光谱中,计算出窄带和宽带(AVHRR,TM,MSS)红色和近红外(NIR)植被指数值。根据植被指数准确估计叶面积指数(LAI)和绿化百分比的能力,评估了植被指数的性能。发现每种被测植被指数的背景效应。但是,背景影响在归一化差异植被指数(NDVI)和比率植被指数(RVI)中最为明显。使用垂直植被指数(PVI)或土壤调整植被指数(SAVI)配方均可降低背景影响。这些植被指数的窄带版本仅比宽带对应版本的精度稍好。使用基于导数的植被指数将背景影响最小化,该指数使用从626 nm到795 nm的连续窄带光谱测量叶绿素红边的幅度。 [参考:26]

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