Identification of fires by satellite methods and means is one of the main tasks of the modern forest fire monitoring system. The article presents a method for mapping forest fires based on the data of the MODIS Spectroradiometer, based on the analysis of the obtained images using the ScanMagic software package. In September 2009, a blocking anticyclone was established in Australia, contributing to an abnormal increase in temperatures, lack of precipitation, and as a result, the emergence of massive forest fires that led to smoke in the region. Studies have been conducted on the example of this phenomenon. As a result, the results of the study are considered, the analysis of changes in the number of fire centers and the assessment of smoke development is carried out. Currently, this method is well established and is used for detecting and analyzing fire situations, including in Australia with a wider range of functions presented in this paper.

The aim of this work is to determine the characteristics and dynamics of flows navigable waters of the Vistula lagoon, strait of Baltiysk and coastal areas of the Baltic sea. The research was conducted by employees of the Russian State University together with employees of Shirshov Institute of Oceanology of the Russian Academy of Sciences (IO RAS) at release of drifters on the water area of the sea strait with the subsequent processing of the received GPS data with visualization in the MapSource program. The study in the Baltic sea canal was the regularities of traffic flow, identified certain intra-day dynamics of a course, significantly dependent on wind conditions over the water area. In the course of the work performed, an almost complete intra-day analysis of currents in the Baltic shipping strait area was carried out.

The article considers the method of ice density concentration prediction based on the implementation of the Kalman-Bucy filter using geospatial data. The developed algorithm of data filtering allows us to assess the effective use of this approach in predicting the density of ice in the Arctic. The key aspects of the model application for the construction of optimal and safe routes of vessels in the waters of the Northern sea route are described.

In this paper, we study the spatial and temporal variability of the Bering sea ice cover. The Bering sea is a major transportation importance as a link in the Northern sea route in turn every activity at sea, meeting the challenges of hydro-meteorological research and predictions in this region largely depend on the knowledge about ice conditions. Observing changes in the ice environment can also serve to assess climate change. For the study, the methods of mathematical statistics applied to data on the amount of ice as a percentage for the Bering sea area in the 1x1 degree grid for the period November 1981goda-April 2014. In the course of the work, the trend component of the time variability of sea ice was identified, spectral and harmonic analysis was performed, and autocorrelation analysis was performed. As a result, for long-term variability, the existence of a trend in the development of ice conditions was revealed, and the presence of a linear trend is unlikely. Analysis of local trends showed a decrease in ice cover in the period 1992-2003, after 2003 there was a large positive trend. Spectral analysis 4 peaks of the spectrum for each were calculated characteristics of harmonics. The sum of harmonics gives a good result when combined with the original data. Long-term variability is low-inertia. when performing an auto forecast for average annual values with a 10-year lead time, it was noted that the prognostic model does not give good results.

The article examines the components of risk management, considers industry risks in forestry management. A risk management methodology in forestry is proposed based on a controlled parameter. The preliminary data processing for working with the model is considered.