Visualization and analysis of spatial-time cards according to reanalize data, ground-term and satellite monitoring in Arcview GIS
The paper presents the results of the author’s scientic works (2004-2017), which describe the possibilities of visualizing and analyzing space-time maps from reanalysis, ground-based and satellite monitoring in ArcView GIS. Unlike ground and satellite monitoring, the reanalysis data are model global elds of meteorological quantities using full sets (available at the time of calculating observational data) from various platforms using primitive equations, interpolation and assimilation method. Since the advent of publicly available archival data (~ second half of 2000s) of remote sensing and climate models, it has become possible to use a wide range of analyzed parameters using statistical data analysis programs and geoinformation systems, i.e. such computer systems that allow you to work effectively with spatially distributed information.Observable changes of a global nature (increase in surface air temperature), transboundary transport of pollutants, etc. can have a signicant impact, for example, on the environmental situation in the arctic regions of the northern hemisphere. In the vast territory of Yakutia (3.1 million sq. km.), in the absence of a sufcient number and density of meteorological stations, the use of operational remote sensing data and geographic information systems is the most relevant at present. Of course, it is also important to create a single center for heliogeophysical monitoring in the territory of Yakutia, since space weather (solar-terrestrial relations) is largely manifested in the arctic and subarctic belt. The author has created the software «Cloud Map Processing Script (CMPAS), CONVERT, MATRIX, AVERAGE», which allows visualization of remote sensing data with a spatial resolution of 1 x 1 degree in ArcView GIS 3.2a.