GI for Sustainability

GI & Sustainability 4

6108.3 - Supervised Machine Learning for Regionalization of Environmental Data: Distribution of Uranium in Groundwater in Ukraine

Thursday, July 6
9:10 AM - 9:30 AM
Location: Maryland C

In this paper, several supervised machine learning algorithms were explored to define homogeneous regions of concentration 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 spatial statistics and unsupervised classification. At this step, we refined the regionalization using Artificial Neural Networks (ANN) techniques including Multilayer Perceptron (MLP), Radial Basis Function (RBF), and Convolutional Neural Network (CNN). The study is focused on building local ANN models which may significantly improve the prediction results of machine learning algorithms by taking into considerations non-stationarity and autocorrelation in spatial data.

Michael Govorov

Professor
Vancouver Island University

Michael Govorov, professor at Vancouver Island University and instructor/facilitator at University of Toronto, holds a PhD in Technical Science, with a specialization in cartography, from the Siberian State Academy of Geodesy, as well as a Post-doctoral Research Certificate in Cartography and Geographic Information Systems from Wuhan Technical University of Surveying and Mapping. Dr. Govorov has 20 years research and teaching experience in GIS, Cartography and Remote Sensing. He has experience leading and successfully completing several research and educational projects funded internationally by government and private organizations.

Presentation(s):

Send Email for Michael Govorov

Gennady Gienko

Professor and Chair
University of Alaska Anchorage

Gennady Gienko holds a PhD degree from Moscow Institute for Engineers in Geodesy, Aerial Surveying and Cartography (1987). He worked at Siberian State Geodetic Academy (1988-2001), Israeli Institute of Technology (2001-2002), and University of the South Pacific (2004-2009). Since August 2009, Gennady has been working for the Department of Geomatics at UAA. He teaches courses in GIS, Remote Sensing and Image Analysis, Photogrammetry, LiDAR, High Density Surveying and Point Cloud Analysis.

Presentation(s):

Send Email for Gennady Gienko

Viktor Valentinovich Putrenko

Head of GIS Laboratory
National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”

Viktor Putrenko, PhD (Geography), Senior Researcher, Head of GIS laboratory of World Data Center of Geoinformatics and Sustainable Development by NTUU “Igor Sikorsky KPI”. In 2004 Viktor Putrenko finished his studies at V. N. Karazin Kharkiv National University and obtained master's degree in human geography. In 2008 he define Ph.D. thesis in Institute of Geography of NASU. From 2008 to 2013 Viktor Putrenko worked in Institute of Geography on the positions of Researcher. Since 2013 V. Putrenko is Head of GIS laboratory and also he is the manager of Canadian-Ukrainian projects DFTD for developing education basis of spatial data infrastructure in Ukraine. Member of ICA commissions on Atlases and GI for Sustainability.

Presentation(s):

Send Email for Viktor Putrenko

Horst Kremers

CODATA-Germany Chair, Berlin (Germany)

Presentation(s):

Send Email for Horst Kremers


Assets

6108.3 - Supervised Machine Learning for Regionalization of Environmental Data: Distribution of Uranium in Groundwater in Ukraine

Handout

Attendees who have favorited this

Please enter your access key

The asset you are trying to access is locked. Please enter your access key to unlock.

Send Email for Supervised Machine Learning for Regionalization of Environmental Data: Distribution of Uranium in Groundwater in Ukraine