This review summarizes the different tools and concepts that are commonly applied in air
quality monitoring. The monitoring of atmosphere is extremely important as the air quality is …

The fundamentals of smoke sensing based on a single-wavelength lidar technique are
discussed and experimental results of forest-fire smoke detection using a Nd: YAG laser …

The application of committee machines composed of single-layer perceptrons for the
automatic classification of lidar signals for early forest fire detection is analysed. The patterns …

The automatic recognition of smoke signatures in lidar signals collected during very small-
scale experimental forest fires using neural-network algorithms was studied. An algorithm for …

The automatic recognition of smoke signatures in lidar signals collected during very small-
scale forest fires using neuralnetwork algorithms was studied. An algorithm for …

Detection of smoke plumes using active optical sensors provides many advantages with
respect to passive methods of fire surveillance. However, the price of these sensors is often …

Sodar provides round-the-clock information about the atmospheric boundary layer (ABL).
However, computer-based extraction of relevant ABL information from sodar data calls for …

The manual identification of different types of atmospheric microstructures recorded by
SODAR (SOund Detection And Ranging) is a tedious task and can be performed only by an …

Geometric shape features extracted from sodar data have been used to classify different
atmospheric patterns. But such features are scale dependent. In this paper, an attempt is …

The use of a Lidar/Dial based system shows considerable advantages in the early forest fire
detection, compared to the widely diffused infrared-cameras based passive detection …