Space monitoring based on regional space images

Methods and algorithms of regional space monitoring (SM) of natural environment on the example of the Caucasus-Caspian region are considered using satellite and sub-satellite optical data. In parallel, GIS-applications for processing and visualization of raster space images are used.Step-by-step: 1. The informativeness of the network of ground-based optical observation of the atmosphere is determined by measurements of the brightness of the day sky, 2. For the dark object of the regional space image (water surface, vegetation) the average vertical profiles, daily, seasonal and annual variations and total optical thickness of aerosol layers of the lower atmosphere are determined, 3. Distributions of atmosphere-corrected values of the underlying surface SCN for statistically homogeneous and isotropic regions of the surface air layer are determined, 4. Methods and algorithms for processing multichannel images and solving the problem of automated mapping using remote sensing data and GIS-technologies are given. The book is intended for researchers, doctoral students and university students dealing with the issues of CM and control of the state of environmental variability at the regional level.