Approach to forestry inventory and mapping by means of multi-spectral Airborne data

X. Baulies, X. Pons

Research output: Contribution to journalArticleResearchpeer-review

22 Citations (Scopus)

Abstract

In this study we evaluate the possibilities of the airborne sensor CASI (Compact Airborne Spectrographic Imager) when applied to mapping of variables characteristic of an ecologic and forestry inventory, i.e., wood biomass, leaf biomass, leaf area index (LAI), canopy cover, etc. The use of multiple regression techniques has made possible to obtain correlation values between 0.76 and 0.94 (p<0.05), between radiometrical and forestry data. The extrapolation ability of the models obtained has been verified starting from the comparison among different flight lines and several groups of sample areas. © 1995 Taylor & Francis Group, LLC.
Original languageEnglish
Pages (from-to)61-80
JournalInternational Journal of Remote Sensing
Volume16
Issue number1
DOIs
Publication statusPublished - 1 Jan 1995

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