INVESTIGATION OF THE EFFECTS OF RESOLUTION ON THE PERFORMANCE OF CLASSICAL LEAST-SQUARES (CLS) SPECTRAL INTERPRETATION PROGRAMS WHEN APPLIED TO VOLATILE ORGANIC-COMPOUNDS (VOCS) OF INTEREST IN REMOTE-SENSING USING OPEN-AIR LONG-PATH FOURIER-TRANSFORM INFRARED (FT-IR) SPECTROMETRY

In the last 10 to 15 years, many investigations into the usefulness of multivariate data analysis techniques have been made using various al gorithms to both qualify and quantify data obtained using Fourier tran sform (FT-IR) spectrometry. In the last 5 to 7 years, many investigati ons into remote sensing of volatile organic compounds (VOCs) in the at mosphere using open-air long-path FT-IR spectrometry have been made. T his paper is a progress report of the attempt of our two laboratories to combine the two fields.