Estimating the leaf area index of North Central Wisconsin forests using the Landsat Thematic Mapper

被引：233

作者：

Fassnacht, KS

Gower, ST

MacKenzie, MD

Nordheim, EV

Lillesand, TM

机构：

[1] Department of Forestry, University of Wisconsin, Madison, WI

[2] School of Forestry, Auburn University, Auburn, AL

[3] Department of Statistics, University of Wisconsin, Madison, WI

[4] Environmental Remote Sensing Center, University of Wisconsin, Madison, WI

[5] Dept. of Forestry, Univ. of Wisconsin, Madison, WI 53706

来源：

REMOTE SENSING OF ENVIRONMENT | 1997年 / 61卷 / 02期

关键词：

Ecosystems - Infrared radiation - Parameter estimation - Plants (botany) - Reflectometers;

D O I：

10.1016/S0034-4257(97)00005-9

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Leaf area index (LAI) is an extremely important structural characteristic of vegetation because it is directly related to the exchange of energy, CO2 and mass from plant canopies at a variety of scales. Research investigating the relationship between forest LAI and satellite data for hardwood and mixed conifer-hardwood forests is lacking, however. The objective of this study was to explore the utility of Landsat-5 Thematic Mapper (TM) data for accurately estimating the LAI of conifer, hardwood, and mixed conifer-hardwood forests in north central Wisconsin. Individual bands and vegetation indices (VIs) calculated from satellite measures of exoatmospheric reflectance were related to the litterfall-estimated LAI of 24 stands. The results showed that individual bands or VIs containing at least one infrared (IR) band (either near- or mid-infrared) or a strong IR component divided data into at least two groups, with each group requiring a different regression line. The primary division was between conifer-dominated and hardwood-dominated stands. Of the individual bands and VIs considered, seven were strongly correlated to the LAI of conifer startels (r2=0.69-0.73). For the hardwoods, the best individual band or VI was Green/mid-IR1 (r2=0.35), although an additional individual band and two VIs did much better using a subset of lower LAI stands (r2=0.60-0.75). For individual bands and VIs not requiring a conifer-hardwood distinction, the sixth Tasseled Cap component was most closely related to LAI (r2=0.60). Multiple-variable models (using LAI as the dependent variable) were found to offer substantial improvement over single-variable models, especially for hardwood stands. We recommend for further consideration a four-variable model for the conifers, and one four-variable and two eight-variable models for the hardwoods.; The utility of Landsat-5 Thematic Mapper (TM) data for accurately estimating the leaf area index (LAI) of conifer, hardwood, and mixed conifer-hardwood forests in north central Wisconsin, was explored. Individual bands and vegetation indices (VIs) calculated from satellite measures of exoatmospheric reflectance were related to the litterfall-estimated LAI of 24 stands. The results show that individual bands divided data into at least two groups, with each group requiring a different regression line. The primary division was between conifer-dominated and hardwood-dominated stands. Of the individual bands and VIs considered, seven were strongly correlated to the LAI of conifer stands. For the hardwoods, the best individual band or VI was Green/mid-IR#1. For individual bands and VIs not requiring a conifer-hardwood distinction, the sixth Tasseled Cap component was most closely related to LAI. Multiple-variable models were found to offer substantial improvement over single-variable models, especially for hardwood stands.

引用

页码：229 / 245

页数：17

共 49 条

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