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首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >Decomposition of vegetation cover into woody and herbaceous components using AVHRR NDVI time series
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Decomposition of vegetation cover into woody and herbaceous components using AVHRR NDVI time series

机译:使用AVHRR NDVI时间序列将植被覆盖分解为木质和草本成分

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摘要

A method is developed to separate Normalised Difference Vegetation Index (NDVI) time series data into contributions from woody (perennial) and herbaceous (annual) vegetation, and thereby to infer their separate leaf area indices and cover fractions. The method is formally consistent with fundamental linearity requirements for such a decomposition, and is capable of rejecting contaminated NDVI data. In this study, estimates of annual averaged woody cover and monthly averaged herbaceous cover over Australia are determined using Pathfinder AVHRR Land series (PAL) Global Area Coverage (GAC) Advanced Very High Resolution Radiometer (AVHRR) NDVI data from 1981 to 1994, together with ground-based measurements of leaf area index (LAI) and foliage projective cover (FPC). (C) 2003 Elsevier Science Inc. All rights reserved. [References: 56]
机译:开发了一种方法来将归一化植被指数(NDVI)时间序列数据分离为木本植物(多年生)和草本植物(一年生)的贡献,从而推断出它们各自的叶面积指数和覆盖率。该方法在形式上符合此类分解的基本线性要求,并且能够拒绝受污染的NDVI数据。在这项研究中,使用1981年至1994年的Pathfinder AVHRR土地序列(PAL)全球区域覆盖率(GAC)先进超高分辨率辐射计(AVHRR)NDVI数据,确定了澳大利亚的年平均木本覆盖率和月平均草皮覆盖率。叶面积指数(LAI)和叶面射影覆盖(FPC)的地面测量。 (C)2003 Elsevier Science Inc.保留所有权利。 [参考:56]

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