Reference number : GC-2017-Q4-00167, amendment number : , agreement type : G, recipient legal name : Bernier, Monique (Institut national de la recherche scientifique), recipient country : CA, recipient province : nan, recipient city : Quebec|Québec, recipient postal code : nan, program name english : Engage Grants for universities, program name french : Subventions d'engagement partenarial pour les universités, program purpose english : Pipelines move 95% of Canada's natural gas and crude oil, totaling a network of some 540,000 kilometres of_x000D_
pipeline. Over the 2010 to 2014 period, an average of 147 pipeline incidents were reported to the_x000D_
Transportation Safety Board of Canada, with a majority of these incidents involving the release of products in_x000D_
the environment. Improved detection of pipeline leaks is of critical importance as oil/waste-water leaks can_x000D_
lead to environmental impacts on rivers, lakes, wetlands, vegetated areas, and cause risk to human health and_x000D_
safety, as well as having significant economic impacts. Given that pipeline infrastructures are frequently_x000D_
located in remote areas and are difficult to monitor regularly, new Earth Observation (EO) satellite sensors,_x000D_
providing frequent and open data, has great potential to complement existing techniques. Then, the main_x000D_
objective of this project is to develop analytical methods for a scientifically rigorous and semi-automated_x000D_
pipeline leaks surveillance system in snow-off conditions based on time series of open, cost-free Sentinel-2 and_x000D_
Landsat-7 and Landsat-8 imagery. The selection of satellites images will be based on past pipeline incidents._x000D_
The recent 795,000-litre oil spill from the Keystone pipeline in South Dakota could be a study case. The_x000D_
images will be pre-processed using Hatfield Automatic Processing System. Different enhancement techniques_x000D_
will be explored to detect pipeline leaks. We will test under which conditions oil or waste water can be seen in_x000D_
water courses, on soil surface or by stressed vegetation. INRS-ETE will provide research expertise in remote_x000D_
sensing while Hatfield Consultants will contribute its experience in automated images processing and_x000D_
environmental monitoring in the oil and gas sector., program purpose french : Pipelines move 95% of Canada's natural gas and crude oil, totaling a network of some 540,000 kilometres of_x000D_
pipeline. Over the 2010 to 2014 period, an average of 147 pipeline incidents were reported to the_x000D_
Transportation Safety Board of Canada, with a majority of these incidents involving the release of products in_x000D_
the environment. Improved detection of pipeline leaks is of critical importance as oil/waste-water leaks can_x000D_
lead to environmental impacts on rivers, lakes, wetlands, vegetated areas, and cause risk to human health and_x000D_
safety, as well as having significant economic impacts. Given that pipeline infrastructures are frequently_x000D_
located in remote areas and are difficult to monitor regularly, new Earth Observation (EO) satellite sensors,_x000D_
providing frequent and open data, has great potential to complement existing techniques. Then, the main_x000D_
objective of this project is to develop analytical methods for a scientifically rigorous and semi-automated_x000D_
pipeline leaks surveillance system in snow-off conditions based on time series of open, cost-free Sentinel-2 and_x000D_
Landsat-7 and Landsat-8 imagery. The selection of satellites images will be based on past pipeline incidents._x000D_
The recent 795,000-litre oil spill from the Keystone pipeline in South Dakota could be a study case. The_x000D_
images will be pre-processed using Hatfield Automatic Processing System. Different enhancement techniques_x000D_
will be explored to detect pipeline leaks. We will test under which conditions oil or waste water can be seen in_x000D_
water courses, on soil surface or by stressed vegetation. INRS-ETE will provide research expertise in remote_x000D_
sensing while Hatfield Consultants will contribute its experience in automated images processing and_x000D_
environmental monitoring in the oil and gas sector., agreement title english : Development of analytical approaches for monitoring pipeline corridors for leak detection using open satellite Earth Observation data, agreement title french : Development of analytical approaches for monitoring pipeline corridors for leak detection using open satellite Earth Observation data, agreement number : EGP, agreement value : 25000.0, agreement start date : 2018-03-07, agreement end date : nan, description english : nan, description french : nan, expected results english : nan, expected results french : nan, additional information english : Grant or Award spanning more than one fiscal year (2017-2018 to 2018-2019)., additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier (2017-2018 à 2018-2019)., owner organization : nserc-crsng, owner organization title : Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada