Reference number : GC-2017-Q1-00067, amendment number : , agreement type : G, recipient legal name : Griesbauer, Hardy (College of New Caledonia), recipient country : CA, recipient province : nan, recipient city : British Columbia|Colombie-Britannique, recipient postal code : nan, program name english : Engage Grants for Colleges, program name french : Subventions d'engagement partenarial pour les collèges, program purpose english : The College of New Caledonia and Silvatech Consulting Ltd. are collaborating on an applied research project to research and develop a forest stand inventory process that uses light detection and ranging (LiDAR) data and digital imagery to produce accurate and precise estimates of stand-level timber volumes.  Silvatech has conducted research and development in this area for 14 years, with the objective of developing an innovative service that uses accurate remote sensing technologies to predict forest stand species composition, density and volumes.  The project will occur on the CNC Research Forest, a 12,500-hectare forest research and teaching facility located near Prince George, British Columbia.  Students in the College's Natural Resources and Environmental Technology program will assist with establishing research sample plots to verify LiDAR-based models.  _x000D_
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This project will introduce an important innovation to the remote sensing and forest management sectors in Canada.  Forest companies will benefit from this technology by having precise models of forest stand volumes; these models will reduce planning costs and improve business decisions around timber harvesting.  Widespread adoption of this new service could add substantial value to the sustainable and innovative management of Canada's forests.  _x000D_, program purpose french : The College of New Caledonia and Silvatech Consulting Ltd. are collaborating on an applied research project to research and develop a forest stand inventory process that uses light detection and ranging (LiDAR) data and digital imagery to produce accurate and precise estimates of stand-level timber volumes.  Silvatech has conducted research and development in this area for 14 years, with the objective of developing an innovative service that uses accurate remote sensing technologies to predict forest stand species composition, density and volumes.  The project will occur on the CNC Research Forest, a 12,500-hectare forest research and teaching facility located near Prince George, British Columbia.  Students in the College's Natural Resources and Environmental Technology program will assist with establishing research sample plots to verify LiDAR-based models.  _x000D_
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This project will introduce an important innovation to the remote sensing and forest management sectors in Canada.  Forest companies will benefit from this technology by having precise models of forest stand volumes; these models will reduce planning costs and improve business decisions around timber harvesting.  Widespread adoption of this new service could add substantial value to the sustainable and innovative management of Canada's forests.  _x000D_, agreement title english : Developing a LiDAR-based timber cruising model for the Canadian forest sector, agreement title french : Developing a LiDAR-based timber cruising model for the Canadian forest sector, agreement number : CARD1, agreement value : 25000.0, agreement start date : 2017-06-14, 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