[en] Papers were presented in four subject areas: applications of remote sensing; data analysis, digital and analog; acquisition systems; and general. Abstracts of individual items from the conference were prepared separately for the data base

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[en] Images characteristic of geographic regions other than the northeastern part of the United States are presented for interpretation. Pre- and post-eruption imagery of Mt. St. Helens volcano serves to demonstrate the advantages of thermal infrared sensing, and the potential for developing a timely, decision oriented thematic map to be used in solving drought-related problems in Upper Volta is examined to show the applicability of satellite remote sensing in all geographic areas

[en] Equations 1–4 have been typed wrongly during the steps of corrections and some figures and tables are placed way too far from the citations.

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[en] Verticle column amounts of NO₂ have been measured using visible spectroscopy from September 1994. We will compare the seasonal change in the column amounts between Ny-Alesund (Spitsbergen, Norway 79 degrees N) which is usually inside the polar vortex, and Fairbanks (Alaska 65 degrees N) which usually is outside polar vortex. Decreasing daylength in the fall causes a rapid decrease in the vertical column of NO₂ due to night-time conversion of NO₂ to N₂O₅, slower increase in the NO₂ amounts at Ny-Alesund in the spring may be caused by reduction in the N₂O₅ reservoir in the arctic night due to heterogenous conversion of N₂O₅ to HNO₃ on sulfate aerosols (PSC's)

[en] Hyperspectral Remote sensing is a tool to identify the minerals along with field investigation. Tamil Nadu has abundant minerals like 30% titanium, 52% molybdenum, 59% garnet, 69% dunite, 75% vermiculite and 81% lignite. To enhance the user and industry requirements, mineral extraction is required. To identify the minerals properly, sophisticated tools are required. Hyperspectral remote sensing provides continuous extraction of earth surface information in an accurate manner. Nontronite is an iron-rich mineral mainly available in Nilgiri hills, Tamil Nadu, India. Due to the large number of bands, hyperspectral data require various preprocessing steps such as bad bands removal, destriping, radiance conversion and atmospheric correction. The atmospheric correction is performed using FLAASH method. The spectral data reduction is carried out with minimum noise fraction (MNF) method. The spatial information is reduced using pixel purity index (PPI) with 10000 iterations. The selected end members are compared with spectral libraries like USGS, JPL, and JHU. In the Nontronite mineral gives the probability of 0.85. Finally the classification is accomplished using spectral angle mapper (SAM) method. (paper)

[en] An overview is given of the remote sensing of the atmospheric processes over Sofia region by using lidars. Results obtained in the Institute of Electronics in the frame of the European Aerosol Research Lidar Network are presented and discussed

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