Normalized sensitivity measures for leaf area index estimation using three-band spectral vegetation indices

ALEMU GONSAMO

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Normalized sensitivity measures for leaf area index estimation using three-band spectral vegetation indices

机译：基于三波段光谱植被指数的叶面积指数估计的归一化灵敏度测量

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A great number of spectral vegetation indices (SVIs) have been developed to estimate key biophysical parameters such as leaf area index (LAI). Considerable interest is often given to the local optimization, performance analysis and sensitivity of each spectral band and SVI for LAI estimation given that several confounding factors are present. In this regard, inclusion of shortwave infrared (S^IR) reflectance in traditionally near-infrared (NIR)-red (R)-based SVIs has played a great role for local optimization and increased sensitivity of SVIs to LAI. This study presents the enhanced and normalized sensitivity functions for evaluating (1) the sensitivity of each spectral band and SVI to LAI and (2) the generic performance analysis of empirical model to estimate LAI based on the SVIs. Several alternatives for three-band (NIR-R-SWIR) SVI modifications have been recommended and proven to be simplistic and unbiased way of local optimization.

机译：已经开发出许多光谱植被指数（SVI）来估计关键的生物物理参数，例如叶面积指数（LAI）。考虑到存在多个混淆因素，通常会对局部优化，每个频谱的性能分析以及LAI估计的SVI给予极大的关注。在这方面，在传统的基于近红外（NIR）-红色（R）的SVI中包含短波红外（S ^ IR）反射率对于局部优化和提高SVI对LAI的敏感性起到了重要作用。本研究提出了增强的归一化灵敏度函数，用于评估（1）每个光谱带和SVI对LAI的灵敏度，以及（2）经验模型的一般性能分析，以基于SVI估计LAI。已推荐了三频带（NIR-R-SWIR）SVI修改的几种替代方法，并证明它们是局部优化的简单且无偏见的方式。

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《International journal of remote sensing》 |2011年第8期|p.2069-2080|共12页
作者
ALEMU GONSAMO;
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作者单位

Department of Geography, University of Helsinki, FIN-00014 Helsinki, Finland;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
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1. The sensitivity based estimation of leaf area index from spectral vegetation indices [J] . Alemu Gonsamo, Petri Pellikka ISPRS Journal of Photogrammetry and Remote Sensing . 2012,第Juna期

机译：基于光谱植被指数的基于敏感性的叶面积指数估计
2. Evaluation of Spectral Scale Effects in Estimation of Vegetation Leaf Area Index Using Spectral Indices Methods [J] . DU Huishi, JIANG Hailing, ZHANG Lifu, 中国地理科学（英文版） . 2016,第006期

机译：利用光谱指标方法评估植被叶片区指数估计的光谱比例效应
3. New Reflectance Spectral Vegetation Indices for Estimating Rice Nitrogen Nutrition I: Selection of Optimum Vegetation Indices Using Leaf Spectral Reflectance and SPAD Values [J] . Jinheng Zhang, Yongliang Lv, Chao Han, Sensor Letters: A Journal Dedicated to all Aspects of Sensors in Science, Engineering, and Medicine . 2011,第3期

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4. The impacts of bandwidths on the estimation of leaf chlorophyll concentration using normalized difference vegetation indices [C] . Mingliang Ma, Runhe Shi, Pudong Liu, Conference on remote sensing and modeling of ecosystems for sustainability . 2014

机译：利用归一化植被指数估算带宽对叶片叶绿素浓度的影响
5. An evaluation of two data sources and their effectiveness for vegetation monitoring in developing countries using Normalized Difference Vegetation Indices (NDVI). [D] . Gauthier, Vicki Lee Ann. 1998

机译：使用归一化植被指数（NDVI）评价了两个数据源及其对发展中国家植被监测的有效性。
6. Evaluating Hyperspectral Vegetation Indices for Leaf Area Index Estimation of Oryza sativa L. at Diverse Phenological Stages [O] . Mairaj Din, Wen Zheng, Muhammad Rashid, -1

机译：在不同的物候阶段评估稻米叶片面积指数的高光谱植被指数评估
7. The sensitivity based estimation of leaf area index from spectral vegetation indices [O] . Gonsamo, Alemu, Pellikka, Petri 2012

机译：基于光谱植被指数的基于敏感性的叶面积指数估计
8. Application of Hyperspectral Vegetation Indices to Detect Variations in High Leaf Area Index Temperate Shrub Thicket Canopies. [R] . Brantley, S. T., Zinnert, J. C., Young, D. R. 2011

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Normalized sensitivity measures for leaf area index estimation using three-band spectral vegetation indices

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