THEMATIC MAPPER ANALYSIS OF CONIFEROUS FOREST STRUCTURE AND COMPOSITION.

Janet Franklin

Research output: Contribution to journalArticle

153 Citations (Scopus)

Abstract

Simple regressions of single band thematic mapper simulator (TMS) reflectance data against stand basal area and leaf biomass show that the spectral feature most strongly related to vegetation amount is visible reflectance (TM bands 1, 2 and 3), which decreases as conifer basal area increases. Principal components analysis of TMS spectral data for sample stands, and stepwise multiple regression of transformed axes, showed the first principal component, interpreted as scene brightness, to be the composite spectral feature most correlated to vegetation amount.

Original languageEnglish (US)
Pages (from-to)1287-1301
Number of pages15
JournalInternational Journal of Remote Sensing
Volume7
Issue number10
StatePublished - Oct 1986
Externally publishedYes

Fingerprint

coniferous forest
basal area
simulator
reflectance
Simulators
vegetation
Chemical analysis
Principal component analysis
multiple regression
coniferous tree
Luminance
principal component analysis
Biomass
biomass
Composite materials
analysis

ASJC Scopus subject areas

  • Computers in Earth Sciences

Cite this

THEMATIC MAPPER ANALYSIS OF CONIFEROUS FOREST STRUCTURE AND COMPOSITION. / Franklin, Janet.

In: International Journal of Remote Sensing, Vol. 7, No. 10, 10.1986, p. 1287-1301.

Research output: Contribution to journalArticle

@article{6407adb57f6d49eda1ba1313c3db5abf,
title = "THEMATIC MAPPER ANALYSIS OF CONIFEROUS FOREST STRUCTURE AND COMPOSITION.",
abstract = "Simple regressions of single band thematic mapper simulator (TMS) reflectance data against stand basal area and leaf biomass show that the spectral feature most strongly related to vegetation amount is visible reflectance (TM bands 1, 2 and 3), which decreases as conifer basal area increases. Principal components analysis of TMS spectral data for sample stands, and stepwise multiple regression of transformed axes, showed the first principal component, interpreted as scene brightness, to be the composite spectral feature most correlated to vegetation amount.",
author = "Janet Franklin",
year = "1986",
month = "10",
language = "English (US)",
volume = "7",
pages = "1287--1301",
journal = "International Joural of Remote Sensing",
issn = "0143-1161",
publisher = "Taylor and Francis Ltd.",
number = "10",

}

TY - JOUR

T1 - THEMATIC MAPPER ANALYSIS OF CONIFEROUS FOREST STRUCTURE AND COMPOSITION.

AU - Franklin, Janet

PY - 1986/10

Y1 - 1986/10

N2 - Simple regressions of single band thematic mapper simulator (TMS) reflectance data against stand basal area and leaf biomass show that the spectral feature most strongly related to vegetation amount is visible reflectance (TM bands 1, 2 and 3), which decreases as conifer basal area increases. Principal components analysis of TMS spectral data for sample stands, and stepwise multiple regression of transformed axes, showed the first principal component, interpreted as scene brightness, to be the composite spectral feature most correlated to vegetation amount.

AB - Simple regressions of single band thematic mapper simulator (TMS) reflectance data against stand basal area and leaf biomass show that the spectral feature most strongly related to vegetation amount is visible reflectance (TM bands 1, 2 and 3), which decreases as conifer basal area increases. Principal components analysis of TMS spectral data for sample stands, and stepwise multiple regression of transformed axes, showed the first principal component, interpreted as scene brightness, to be the composite spectral feature most correlated to vegetation amount.

UR - http://www.scopus.com/inward/record.url?scp=0022923842&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0022923842&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:0022923842

VL - 7

SP - 1287

EP - 1301

JO - International Joural of Remote Sensing

JF - International Joural of Remote Sensing

SN - 0143-1161

IS - 10

ER -