Projects
Canadian Natural Resources Limited
Environment Annual Report Mapping
January 2020 – April 2020
Created all of the Environment Annual Report maps for Albian and Horizon Mine Sites. Worked in conjunction with Environmental Coordinators of various disciplines to create maps that satisfied the requirements of the Alberta Energy Regulator.
Reclamation Annual Report Mapping
January 2020 – April 2020
Created all of the Reclamation Annual Report maps for Albian and Horizon Mine Sites. Worked in conjunction with Reclamation Coordinators to create maps that satisfied the requirements of the Alberta Energy Regulator.
Hydrology Annual Report Mapping
January 2020 – April 2020
Created all of the Hydrology Annual Report maps for Albian and Horizon Mine Sites. Worked in conjunction with Hydrologists to create maps that satisfied the requirements of the Alberta Energy Regulator.
Bird Protection Plan
February 2020
Worked in conjunction with the Wildlife Coordinator to come up with maps that outlined where Bird Deterrents would be placed around Albian Mine Site in 2020. Ensured that maps were created and up to CNRL standard before submitting them to the Alberta Energy Regulator
Reclamation Dashboards
January 2020 – April 2020
Managed ArcGIS Online Dashboards for both the Albian and Horizon Mine Sites that tracked reclamation material movement, placement, and salvage on a weekly basis. Highlighted problem areas and managed the server for ground workers.
Reclamation Information System Database
April 2020 – June 2020
Created the 2019 version of Albian Mine Site’s Reclamation Information System Database. Cleaned up and QA/QC’d previous year’s data to make the database up to date and easier for the mine planners to work with.
Soil Model and Mapping
April 2020 – June 2020
Created a working soil model that takes a DEM of a location and outputs predicted soil types that can be found under the ground. Combined together with previous soil and ground truthing data it gives a high accuracy (90%) of what type of soil can be found in 10m x 10m areas.
CIRUS Lab – Unmanned Aerial Systems for Imperial Oil
August 2019 – December 2019
Continued on from the Capstone Project to assist Imperial Oil with drone footage and data analysis. We created working python models for data creation and data transferring as well as processed UAS data to create orthomosaics and videos of mine wall fly bys.
BGIS Capstone Project – Unmanned Aerial Systems for Resource Management
May 2019 – August 2019
My group proposed to support the Centre for Innovation and Research into Unmanned Systems (CIRUS) by helping with Unmanned Aerial Systems (UAS) in resource-based applications. Utilizing airborne data collection methods instead of traditional ground-based data collection methods, we saved time and money as well as gathered data not previously noticed on the ground can be uncovered. This goal allowed CIRUS to use the collected and analyzed data to better communicate with stakeholders about how better to utilize resource-based spaces such as those inside open pit mining excavations and in oil sands operations.
Our project encompassed the creation of a plan with repeatable steps that can be applied and tailored to a variety of different resource-based applications. This plan ranged from supporting UAS flight operations and data collection all the way through to data analysis of geospatial and photogrammetry data and the output of data into resource-based software. Light detection and ranging (LIDAR) data captured by the UAV was used to produce digital terrain models (DTMs), digital elevation models (DEMs), and digital surface models (DSMs) that identified how to better develop mines and oilsands locations.
The objective created a suggestion on how resource-based site development would best proceed in the future by using data analyzed through UAV collection.
- Business analyst stream documented processes, data, and duration. Identified business requirement for process improvements (automation).
- UAV/Development steam created UAV mission plans and support flight operations. Built python script to improve data analysis and utilize outside software packages such as ENVI, PIX4D, and Minesite.
- System Analyst stream built models in GIS for the creation of DEMs, DTMs, and DSMs. We built system requirements for automation as well as further analyzed captured data in ArcGIS.
The deployed solution enabled my group to create UAV mission plans and analyze the collected data to output models that will benefit stakeholders in resource-based areas.
BGIS Semester 1 Final Project – Senior Income and Living in Place in Calgary
January 2019 – April 2019
As per Mayor Nenshi’s speech about seniors not being able to age in place we wanted to see if that was true. As we had the data available to use we decided to do it over three different time frames; 2005/2006, 2010/2011, and 2015/2016. We carried out an analysis on whether seniors could age in place in two different ways.
Firstly, we split the seniors up by their median household income (65+) by community and then separated them into low, medium, and high income by use of a bell curve and by taking out communities that were outliers. After doing this for the three time periods we compared the time periods and only kept the communities who had stayed in the same income bracket over those time frames. Using a random generator, we selected one community from each income level and those became our study communities. We decided to see if senior’s different income communities had the same level of access to essential services like grocery stores.
We made a service area network analysis and mapped out a 10-minute walk and drive from the target community. We believed this is an acceptable range for which to travel to pick up essential items. From there we geocoded grocery stores only within the radius of that service area. What we found is that between the different income communities there was roughly an even amount of grocery stores in a 10-minute drive. With a 10 minute walk some communities had one or two grocery stores but the numbers were quite small. This leads us to believe that whichever income level of community you live in as a senior you will have access to groceries if you can drive. Grocery stores seem to be more centered around hubs of businesses or major commercial roads so communities of several different income levels all must travel to them.
Secondly, we split the seniors up by their normalized population by community and then separated them into low, medium, and high senior population communities. They were normalized by dividing the senior population in a community by the total population in a community and then multiplying by 100 for a percentage. After doing this for the three time periods we compared the time periods and only kept the communities who had stayed in the same senior population bracket over those time frames. Using a random generator, we selected one community from each population level and those became our study communities. We decided to see if seniors in different communities had the same level of access to essential services like doctor’s offices.
We made a service area network analysis and mapped out a 10-minute walk and drive from the target community. We believed this is an acceptable range for which to travel to see a doctor. From there we captured GPS data of offices only within the radius of that service area. What we found is that between the different population communities there was roughly an even amount of doctor’s offices in a 10-minute drive. With a 10-minute walk most communities had a doctor’s office inside their local community. This leads us to believe that whichever senior population community you live in you will have access to medical services if you can drive. Doctors seem to be more centered around hubs of businesses or major commercial roads so communities of several different population levels all must travel to them. However, most communities do have strip malls where there will usually be a doctor or dental office that is within the 10-minute walking distance.
In conclusion, we found that contrary to Mayor Nenshi’s stance that seniors could not age in place dependent on income or population level we found access to services were roughly equal across the community spectrum. We attribute this to Calgary’s love of hubs for shopping and doctor’s offices. As well, most communities have a local doctor or dentist and it is only a grocery store you might have to drive to get too. This means that no matter the community income or population level for seniors, communities of all levels must share these services as no one community has greater access then any other.
