Benefits of Spatial Collaboration in Arctic Research Project Using ArcGIS Online
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1 Benefits of Spatial Collaboration in Arctic Research Project Using ArcGIS Online Dr. Nataliya Marchenko Prof. Aleksey Marchenko The University Centre in Svalbard, Longyearbyen, Norway Arctic Technology Department N. & A. Marchenko_ESRI UC
2 Outline l Introduction - Motivation Sustainable Arctic Marine and Coastal Technology (SAMCoT) Data collection and storage SAMCoT GIS online Conclusion 2
3 The University Centre in Svalbard (UNIS) The northernmost university UNIS Gate to the Polar Ocean Area with increased strategic significance Well suited to observe climate change Research field-based education Use nature as laboratory Investigation of Sea Ice properties. Full scale experiments 3
4 Sustainable Arctic Marine and Coastal Technology (SAMCoT) - part of the Norwegian CRI programm In June 2006, the Executive Board of the Research Council of Norway (RCN) decided to establish Centres for Research-based Innovation (CRIs). The main objective - to enhance the capability of the business sector to innovate by focusing on long-term research based on forging close alliances between research-intensive enterprises and prominent research groups. 4
5 ARCTIC FEATURES Huge Resources Remoteness Darkness in winter Mostly deep waters Possible presence of sea ice/icebergs. Main drivers: Oil and gas Mining Shipping Contributing industries: Fisheries Aquaculture Tourism Scientific research Arctic drivers 5
6 Threats for Offshore development 6
7 Sustainable Arctic Marine and Coastal Technology (SAMCoT) 7
8 SAMCoT strategy Quantifying the Physical Environment 8
9 9
10 - Shows SAMCoT key sites and area properties, using ArcGIS software; - Has 5 hierarchic and scale levels for different territory size and details; - Contains diverse types of geographicaly located information (field and archive data, photos and video); - Can be used for modelling, Fram Strait Svalbard Barents Sea ArcMap for 2D ArcScene for 3D Baydara 10
11 11
12 SAMCoT GIS. DATA Made Under development BASIC LAYERS Bathymetry Hypsometry Coastal line Coastal erosion Settlements Industrial objects RV surveys DATA (Lance, Bjørkhaug, Polarsyssel)??) Reports Ice Mechanics, Hydrology, Ice Ridges Tracks , 2018 Measurements CTD- raw data (CNV files) - profiles (jpeg) ICE TRACKERS (AT drifting buoys) buoy (temp) (wind) (wave) FIELD WORK «on sites» DATA - Sea currents (Svalbard fjords) - Ice properties (tests in Svea, lake, RV surveys) - ADCP (Vestpynten) P U B L I C A T I O N S 12
13 Data collection The Barents Sea Ice ridge investigation Measurement 13
14 Data analysis and performance. Ice ridge example 14
15 Laser scan 3D point cloud 15
16 Ice floe parameters Rhino's intrinsic functions provide a simple means of calculating the floe's geometric properties. 16
17 S m2 343 Vt m Vs m Sail 1,6 Draft 4, ,2 2,94 22,8x22, total 2655 submerged 3 Ice floes. Parameters (m) 2,16 3,82 N. & A. Marchenko_ESRI UC
18 We use the UNIS Arctic Technology New Work Station ( in the room A242A. We can reach this Work Station from all other UNIS computers, using Password (SAMCoT participants have access). So we are able run SAMCoT GIS and make demonstration from all UNIS auditoriums/ classrooms/ offices In March 2017 on-line version has been created? 18
19 SAMCoT GIS Online Oceanographical survey data 19
20 SAMCoT GIS Online. Survey reports and papers 20
21 SAMCoT GIS Online. Drifting buoys 21
22 GIS ONLINE connecting people 22
23 Acknowlegement RV teams (crew, UNIS students on AT-211 course, guest researchers) ESRI team SAMCoT project Colleagues at UNIS Thank you for your attention N. & A. Marchenko_ESRI UC
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