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

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

W. A. Franke College of Forestry and Conservation

National Aeronautics and Space Administration

Research output: Contribution to journal › Conference article › peer-review

7 Scopus citations

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 language	English
Pages (from-to)	1295-1308
Number of pages	14
Journal	Proceedings of the International Symposium on Remote Sensing of Environment
Volume	2
State	Published - 1984

Cite this

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title = "ATMOSPHERIC EFFECTS ON THE REMOTE SENSING ESTIMATION OF FOREST LEAF AREA INDEX.",

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.",

author = "Spanner, {Michael A.} and Peterson, {David L.} and Hall, {Madeline J.} and Wrigley, {Robert C.} and Card, {Don H.} and Running, {Steven W.}",

year = "1984",

language = "English",

volume = "2",

pages = "1295--1308",

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TY - JOUR

T1 - ATMOSPHERIC EFFECTS ON THE REMOTE SENSING ESTIMATION OF FOREST LEAF AREA INDEX.

AU - Spanner, Michael A.

AU - Peterson, David L.

AU - Hall, Madeline J.

AU - Wrigley, Robert C.

AU - Card, Don H.

AU - Running, Steven W.

PY - 1984

Y1 - 1984

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=0021538663&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:0021538663

SN - 0275-5505

VL - 2

SP - 1295

EP - 1308

JO - Proceedings of the International Symposium on Remote Sensing of Environment

JF - Proceedings of the International Symposium on Remote Sensing of Environment

ER -

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

Abstract

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