Gennady Gienko

University of Alaska Anchorage | UAA · Department of Geomatics

The paper presents the results of the investigation of the applicability of spatiotemporal kernel density estimation (KDE) methods for density mapping of violent crime in Lithuania. Spatiotemporal crime research helps to understand and control specific types of crime, thereby contributing to Sustainable Development Goals. The target dataset contain...

Early October 2021 saw Cyclone Shaheen track westward across the far northern Arabian Sea, penetrate the Gulf of Oman and strike the northeast Oman coastline – the first storm to make such a unique landfall in more than 130 years. This paper describes how the unusual cyclogenesis location, favourable initial trajectory and steering, conducive envir...

A variety of geovisualization and spatial statistical methods can reveal spatial patterns in the distribution of chemical elements in surface and groundwater, and also identify major factors which define those patterns. This chapter describes a combination of modeling techniques to enhance understanding of large-scale spatial distribution of uraniu...

The authors have investigated into different geostatistical point data modeling approaches for regionalization purposes that employ the Artificial Neural Network (ANN) techniques. Regionalization is a spatially constrained adjacency classification problem. In this study, regionalization is viewed as classification of spatial objects (non-uniformly...

In this article, multilayer perceptron (MLP) network models with spatial constraints are proposed for regionalization of geostatistical point data based on multivariate homogeneity measures. The study focuses on non‐stationarity and autocorrelation in spatial data. Supervised MLP machine learning algorithms with spatial constraints have been implem...

The Arabian Sea basin represents a minor component of global total cyclones annually and has not featured so prominently in cyclone research compared with other basins where greater numbers of cyclones are registered each year. This paper presents the results of exploratory analysis of various features of cyclone tracks in the Arabian Sea, with a p...

Are the tracks of typhoons and tropical cyclones changing in response to global warming? Will the risks of typhoon landfall on coastlines of the DBAR region increase in future? How can typhoon migration be linked to environmental controlling parameters? These are the kinds of questions that are increasingly best answered by relying on Big Earth Dat...

Tropical cyclones normally deviate from a straight-line path and ‘meander’ during their migration from lower to higher latitudes. This meandering nature means that measuring the sinuosity of cyclone tracks provides a useful tool with which to compare the migratory behaviour of cyclones in both spatial and temporal dimensions. For instance, examinat...

In this paper, several supervised machine learning algorithms were explored to define homogeneous regions of con-centration of uranium in surface waters in Ukraine using multiple environmental parameters. The previous study was focused on finding the primary environmental parameters related to uranium in ground waters using several methods of spati...

A variety of geovisualization and spatial statistical methods can reveal spatial patterns in the distribution of chemical elements in surface and groundwater, and also identify major factors which define those patterns. This chapter describes a combination of modeling techniques to enhance understanding of large-scale spatial distribution of uraniu...

Researchers worldwide use remotely sensed imagery in their projects, in both the social and natural sciences. However, users often encounter difficulties working with satellite images and aerial photographs, as image interpretation requires specific experience and skills. The best way to acquire these skills is to go into the field, identify your l...

Coarse clastic sediments (boulders) on coastlines have seen a groundswell in geomorphic research interest over recent years, associated in part with the potential of boulder evidence for interpreting characteristics of high-energy wave processes. Yet, the fundamental property of boulder volume is normally difficult to measure accurately owing to co...

Large clastic deposits (‘boulders’ and ‘megaclasts’ on the Udden-Wentworth grain-size scale for sedimentary particles), can be observed on many types of coasts across a range of environments worldwide. Recent years have seen a groundswell of interest among the earth science community in using boulder deposits to interpret features of high-magnitude...

Tropical cyclones are one of the most destructive natural hazards for the South Pacific region, having a large impact on socio-economic and environmental sectors of island nations. A better understanding of the characteristics and the categories of these intensed cyclones may help in minimizing the losses due to these hazards. This paper examines t...

A combination of computational power, dynamic graphics and geographical information system (GIS) packages creates a powerful platform for advanced visualization tools to explore complex geographical phenomena in an interactive computer environment - known as geovisualization. Geovisualization is a relatively new computer-based approach that refers...

This paper introduces a new metric for tropical cyclone track shape within the tropical South Pacific (TSP) basin, based on measurements of track sinuosity. A sinuosity index (SI) is developed by applying a simple cube-root transformation to original track sinuosity values. Based on the resulting near-normal SI distribution, an ordinal four-categor...

The environmental impacts of tropical cyclones across the tropical Pacific region are under the constant attention of scientists around the globe. Scientists have invested considerable effort to understand the characteristics and behaviour tropical cyclones, owing to their relatively frequent occurrence (compared to other natural hazards) and the d...

This study analyses the regional cyclone archive for the tropical South Pacific (160 degrees E-120 degrees W, 0 degrees-25 degrees S) maintained by the designated Regional Specialized Meteorological Centre located at Nadi in the Fiji Islands. The historical cyclone record was examined over 4 decades from the 1969-1970 cyclone season to the 2007-200...

This paper introduces a new metric for tropical cyclone track shape applicable to the South West Pacific (SWP) and North West Pacific (NWP) basins, based on track sinuosity ratios investigated for all storms over the last four to six decades. A Sinuosity Index (SI) is developed by normalising the distribution of measured sinuosity values using a si...

Tropical cyclones are one of the most destructive natural hazards for the tropical Pacific, having a large impact on socio-economic and environmental sectors of island nations. In response, scientific study should continue to strive for improved understanding of the characteristics of these intense storms. A continuing problem lies in forecasting c...

Much research is currently focused on the frequency, strength and points of origin of tropical cyclones in various ocean basins of the world, particularly in relation to the influence that greenhouse-enhanced global warming and consequent rising sea-surface temperatures may have on patterns of storm activity. Our work presents a newly-verified data...

Improving our understanding of the characteristics and behaviour of tropical cyclones (typhoons) is a priority in the South Pacific, first because developing island nations in the region are vulnerable to the environmental effects of severe storms (such as river flooding, coastal surge and erosion, vegetation damage, debris slides), and second, evo...

Spatial and temporal data derived from eye movements, compiled while the human eye observes geospatial imagery, retain meaningful and usable information. When human perceives the stereo effect, the virtual three dimensional (3D) model resulting from eye-brain interaction is generated in the mind. If the eye movements are recorded while the virtual...

Many modern technologies widely deploy semi-autonomous robotic platforms, remotely controlled by a human operator. Such tasks usually require rapid fusion of multisensor imagery and auxiliary geospatial data. Operational-control units in particular can be considered as displays of the decision-support systems, and the complexity of automated multi-...

Time series of aerial photographs, which are reasonably widely available in the Pacific Island countries, provide a useful resource of geospatial data and can be used for the detection and quantitative assessment of spatio-temporal changes in the most dynamic coastal areas, which are often economically and culturally valuable, but also vulnerable t...

This paper introduces an idea of establishing the GeoTruth Virtual Professional Community (VPC) for Image Analysis in Remote Sensing - a collaborative framework for professionals, using ground truth terrestrial photographs for interpretation and analysis of satellite and aerial imagery. The proposed utility-driven community is initially formed by m...

Many real-time tasks in geospatial data analysis are based on matching of visual data, i.e. finding similarity and/or disparity in geoimages either in the remotely sensed source data or in geospatial vector and raster products. When human eyes scrutinize a scene, the brain performs matching of visual streams, acquired by eyes and transmitted via al...

Modern geospatial data acquisition systems deliver vast amounts of multi-domain remotely sensed data such as multi/hyper spectral imagery and LIDAR point-clouds. Unfortunately geospatial products automatically derived from source geospatial data are burdened with residual errors and artifacts which should be manually inspected, cleaned and correcte...

Spatial and temporal data derived from eye movements, compiled while the operator observes the geospatial imagery, retain meaningful information that could be successfully utilized in modern augmented photogrammetry. When humans perceive the stereo effect, the virtual 3D model, which results from the eye-brain interaction, is generated in the mind....