Information Technologies for Remote Monitoring of the Environment

On the progress of the 2015–2016 El Niño event

“…Varotsos et al, , 2014a. The disastrous effects of the strong ENSO events necessitate their reliable short-and long-term prediction (Latif et al, 1998;Stenseth et al, 2003;Monks et al, 2009;Hsiang et al, 2011;Cheng et al, 2011;Barnston et al, 2012;Krapivin and Shutko, 2012;Tippett et al, 2012). In this context, Varotsos et al (2015) presented a new method (see also for the detection of precursory signals of the strong El Niño events by using the entropy change in "natural time" (a new time domain, see Varotsos et al, 2002) under time reversal.…”

A new big data approach based on geoecological information-modeling system

“…These data flows can be completed with the global and regional socioeconomic information from Socioeconomic Data and Applications Data Center (SEDAC) the catalog of which summarizes data available in 52 countries. The EOSDIS and SEDAC data combined processing can play a key role in the NSS sustainable development problem solution using the GIMS approach (Krapivin & Shutko, 2012).…”

“…The CNSSGSM assimilates big data fluxes considering complex of biospheric, climatic, and socioeconomic processes taking into account their space-temporal hierarchy. According to the procedure represented in Figure 2, the CNSSGSM structure is oriented on the adaptive functioning mode introducing the global model into a system of geoinformation monitoring (Krapivin & Kelley, 2009;Krapivin & Shutko, 2012). The approach to the CNSSGSM synthesis is based on the two mathematical methods:…”

“…The description of the function Planning and analysis of big data clouds the analysis of the structure of the environmental data acquisition system using satellite data, flying laboratories, and mobile and stationary ground observation means as well as providing socioeconomic information (Krapivin & Shutko, 2012) Synchronous analysis of big data fluxes using space-time interpolation and extrapolation methods retrieval of data and their reduction to the common time scale is performed. global model parameters are determined.…”

“…Important improvement of GIS technology was made by Kondratyev, Krapivin, Savinykh, and Varotsos (2004) when geoecological information-modeling system (GIMS) was presented as a combination of GIS and modeling technology. Key aspects of GIMS have been discussed in many publications (Cracknell, Krapivin, & Varotsos, 2009a, 2009bKrapivin & Shutko, 2012;Krapivin, Shutko, Chukhlantsev, Golovachev, & Phillips, 2006;Krapivin, Varotsos, & Soldatov, 2015).…”