ATMOSPHERIC EFFECTS ON THE REMOTE SENSING ESTIMATION OF FOREST LEAF AREA INDEX.

Michael A. Spanner, David L. Peterson, Madeline J. Hall, Robert C. Wrigley, Don H. Card, Steven W. Running

Research output: Contribution to journalConference articlepeer-review

Abstract

An empirical technique was developed to correct Daedalus Airborne Thematic Mapper (ATM) data for atmospheric conditions across a 250 kilometer transect in Oregon for estimation of coniferous forest leaf area index (LAI). Independent regressions were developed at six geographic zones across the transect to account for the magnitude and variability of atmospheric effects. By regressing ATM radiances against ground radiances, the resulting Y-intercept represented additive path radiance, and the slope of the regression equation represented transmittance of the atmosphere. The regression equation was used to convert the ATM radiances to ground radiances, accounting for atmospheric conditions and variability across the transect.

Original languageEnglish
Pages (from-to)1295-1308
Number of pages14
JournalProceedings of the International Symposium on Remote Sensing of Environment
Volume2
StatePublished - 1984

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