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Environmental Statistics and Remote Sensing Group

The Group specializes in the use of modern statistical methods, in particular spatial statistics and geostatistics for solving complex problems related to the environment, including cost reduction and rationalization of studies:
a.    studies of variability and spatial correlation using various geostatistical tools,
b.    advanced methods of spatial estimation and simulation,
c.    optimization of measurement networks, also in the presence of various constraints , such as financial ones or related to access,
d.    estimation of resources, in many areas such as  environment, geology, forestry,
e.    uncertainty assessment,
f.    environmental risks and hazards assessment
g.    non-linear and multi-point geostatistics,
h.    spatio-temporal modeling

In particular, the Group is engaged in various problems of spatial integration of environmental data (cokriging, co-simulation). Data integration has many important applications in environmental studies. It allows for combining a variety of complex data such as: expensive chemical measurements with cheaper physical ones, ground-based measurements with satellite ones, measurements from boreholes with geophysical methods (cheaper, but less accurate).

The Group activity is focused on the studies of spatial phenomena in the environment. The recent studies are concerned on applications of geophysical (e.g. soil electrical resistivity and soil magnetic susceptibility) and geochemical measurements to investigate the soil and water pollution with heavy metals. The Group was also focused on the studies of vegetation cover and soil moisture. The Group has capabilities of multi-scale observations of soil moisture using selected remote sensing methods, supplemented by GIS, and international databases. Other examples of studies are associated with various applications of statistical methods in Environmental Engineering (e.g. studies of methane hazard in mines, resources estimation, geological risk and hazards assessment, urban environment problems etc.).  Recently, there is a substantial increase of the contribution of remote sensing both in the studies and teaching carried out by the Group.