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Seasonal LAI in slash pine estimated with Landsat TMThe leaf area index (LAI, total area of leaves per unit area of ground) of most forest canopies varies throughout the year, yet for logistical reasons it is difficult to estimate anything more detailed than a seasonal maximum LAI. To determine if remotely sensed data can be used to estimate LAI seasonally, field measurements of LAI were compared to normalized difference vegetation index (NDVI) values derived using Lnandsat Thematic Mapper (TM) data, for 16 fertilized and control slash pine plots on 3 dates. Linear relationships existed between NDVI and LAI with R (sup 2) values of 0.35, 0.75, and 0.86 for February 1988, September 1988, and March, 1989, respectively. This is the first reported study in which NDVI is related to forest LAI recorded during the month of sensor overpass. Predictive relationships based on data from eight of the plots were used to estimate the LAI of the other eight plots with a root-mean-square error of 0.74 LAI, which is 15.6 percent of the mean LAI. This demonstrates the potential use of Landsat TM data for studying seasonal dynamics in forest canopies.
Document ID
19920042496
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
Authors
Curran, Paul J.
(Swansea, University College, United Kingdom)
Dungan, Jennifer L.
(NASA Ames Research Center; TGS Technology, Inc. Moffett Field, CA, United States)
Gholz, Henry L.
(Florida, University Gainesville, United States)
Date Acquired
August 15, 2013
Publication Date
January 1, 1992
Publication Information
Publication: Remote Sensing of Environment
Volume: 39
ISSN: 0034-4257
Subject Category
Earth Resources And Remote Sensing
Accession Number
92A25120
Distribution Limits
Public
Copyright
Other

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