DIG_2015_0028.xmleng; CANutf8datasetAlberta Geological SurveyAGS Information Manager(780) 638-4491(780) 422-1918

Alberta Energy Regulator4th Floor, Twin Atria Building4999-98 Avenue NWEdmontonAlbertaT6B 2X3CanadaAGS-Info@aer.ca

8:00 a.m. to 12:00 p.m. and 1:00 p.m. to 4:30 p.m.pointOfContact2016-03-29North American Profile of ISO 19115:2003 - Geographic information - Metadata (NAP-Metadata)ISO 19115-1.1area2015-01-01publicationAlberta Energy RegulatororiginatorAlberta Geological SurveyoriginatorChao, D.K.originatorChowdhury, S.originatorAlberta Geological Survey

Edmonton Alberta, Canada

publishermapDigitalDigital DataDIG 2015-0028The Cold Lake oil sands area, Township 56 to 69, Range 1 to 11, west of the 4th Meridian, falls within the Lower Athabasca Regional Plan (LARP). As part of Alberta’s Land-use Framework, LARP was developed in 2012 to set the stage for robust growth, vibrant communities and a healthy environment within the region. One of its implementation objectives is to balance the economic development of oil sands and impacts on ecosystem and environment. This is to be achieved through enhanced science-based monitoring for improved characterization of the environment and collection of the information necessary to understand cumulative effects. For this digital data release, a land use and land cover classification dataset was derived from 2005 Landsat multispectral imagery for the Cold Lake Oil Sands area. The classification contains 13 classes: 0 - unclassified, 1 - exposed land/cut blocks/harvested areas, 2 - water bodies, 3 - transitional bare surfaces, 5 - mixed developed areas, 6 - developed areas, 7- shoal, 8 - shrub land, 9 - grassland, 10 - agriculture areas, 11 - coniferous forest, 12 - broad leaf forest, 13 - mixed forest, and 14- fire scar. These categories can be used as baseline data for planning, managing and monitoring surface infrastructure needs and impacts.To provide a 2005 baseline land-use/land-cover classification data to assist oil and gas related regulatory tasks in the Cold Lake Oil Sands area.completedAlberta Geological SurveyAGS Information Manager(780) 638-4491(780) 422-1918

Alberta Energy Regulator4th Floor, Twin Atria Building4999-98 Avenue NWEdmontonAlbertaT6B 2X3CanadaAGS-Info@aer.ca

8:00 a.m. to 12:00 p.m. and 1:00 p.m. to 4:30 p.m.pointOfContactasNeededclassificationgis datain situland uselandsat 7oil sandsraster gridremote sensingvegetationwell padstheme73e73lalbertacanadacold lakecold lake oil sands areaplaceotherRestrictionsotherRestrictionsAccess Constraints: Public Use Constraints: Acknowledgement of the Alberta Energy Regulator/Alberta Geological Survey as the originator/source of this information is required as described in the Open Government License - Alberta. Distribution Liability: The Alberta Energy Regulator/Alberta Geological Survey (AER/AGS) licenses this information under the Open Government License - Alberta. Any references to proprietary software in our documentation, and/or any use of proprietary data formats in our releases, do not constitute endorsement by the AER/AGS of any manufacturer's product.2015-01-01publicationAlberta Energy RegulatororiginatorAlberta Geological SurveyoriginatorChao, D.K.originatorChowdhury, S.originatorAlberta Geological Survey

Edmonton Alberta, Canada

http://ags.aer.ca/publishermapDigitalDigital DataDIG 2015-0031crossReferencegrideng; CANgeoscientificInformation-112-1105355ground condition2005-01-01Language: In English;falseDetailed Entity and Attribute information is provided with the dataset, formatted as Federal Geographic Data Committee (FGDC) Content Standard for Digital Geospatial Metadata.Alberta Geological SurveyAGS Information Manager(780) 638-4491(780) 422-1918

Alberta Energy Regulator4th Floor, Twin Atria Building4999-98 Avenue NWEdmontonAlbertaT6B 2X3CanadaAGS-Info@aer.ca

8:00 a.m. to 12:00 p.m. and 1:00 p.m. to 4:30 p.m.distributorhttps://static.ags.aer.ca/files/document/DIG/DIG_2015_0028.zipTIFFdatasetAll pixels in the draft pre-release Landsat Best Available Pixel (BAP) composite data, obtained from the Natural Resources Canada Pacific Forestry Centre, were used for image analysis. Every pixel in the raster grid is classified to a certain class, except for the pixels with the presence of sensor noise or thick cloud. Pixels with sensor noise or thick cloud and pixels outside the study area were assigned ‘0’ value.The datasets are in GeoTiff format that have no null values. The overall accuracy, defined as the total correct pixels (sum of the major diagonal) divided by the total number of pixels in the error matrix N, is 476942/601700 or 72.27% for this dataset. The Producer accuracy (Table 1), or omission error, is an indication of the probability of a reference pixel being correctly classified. It is calculated as the total number of correct classified pixels in a class divided by total number of pixels in that class. Table 1 - Producer accuracy results Class | Producer Accuracy (%) | Pixel Ratio ----- --------------------- ----------- Developed | 82.24 | 17429/21192 Shrub/grass | 39.69 | 18208/45870 Agriculture | 66.52 | 80415/120895 Coniferous forest | 89.41 | 155456/173864 Broadleaf forest | 85.64 | 205434/239879 The User accuracy (Table 2), or commission error, is defined as the total number of correct classified pixels in a class divided by total number of pixels that were classified in that class. It indicates the probability that a pixel classified on the map represents that class on the ground. Table 2 - User accuracy results Class | User Accuracy (%) | Pixel Ratio ----- --------------------- ----------- Developed | 90.94 | 17429/19166 Shrub/grass | 26.64 | 18208/68353 Agriculture | 88.10 | 80415/91277 Coniferous forest | 88.67 | 155456/175326 Broadleaf forest | 82.98 | 205434/247578 Accuracy assessment for the fused classification result was performed with validation data (derived from the ground-reference data in step 2) that include developed areas, mixed developed areas, coniferous forest, broadleaf forest, shrub/grass, and agriculture classes. Transient LULC types with mixed forest, exposed land/cutblocks/harvested areas, transitional bare surfaces, and shoal were not used for validation since ground reference data for these classes were not realistic. developed - mixed developed area (class 5) and developed area ( class 6) were combined to one class shrub/grass - shrubland (class 8) and grassland (class 9) were combined to one class agriculture - agricultural area (class 10) coniferous - coniferous forest (class 11) broadleaf - broadleaf forest (class 12)All pixels in the draft pre-release Landsat Best Available Pixel (BAP) composite data, obtained from the Natural Resources Canada Pacific Forestry Centre, were used for image analysis. Every pixel in the raster grid is classified to a certain class, except for the pixels with the presence of sensor noise or thick cloud. Pixels with sensor noise or thick cloud and pixels outside the study area were assigned ‘0’ value.Process steps performed in ENVI 5.1 to produce classification map: 1. Pre-release versions of annual Landsat Best Available Pixel Composite (LBAPC) datasets (1984 to 2012) were obtained from the Natural Resources Canada/Pacific Forestry Centre for testing purpose. Among these datasets, 2005 LBAPC was used to produce this Land Use Land Cover (LULC) classification result. 2. The Alberta Biodiversity Monitoring Institute (ABMI) LULC data for 2010 and the Alberta Department of Energy (ADoE) oil and gas infrastructure data for 2012 were used to produce the 2005 ground-reference data. Normalized Difference Built-up Index (NDBI) was applied to 2005 and 2010 LBAPC data to produce LULC changes from 2005 to 2010. Ground reference data for 2005 was selected by subtracting these changes from the 2010 ABMI data. Ground-reference vegetation types for 2005 include coniferous forest, broadleaf forest, mixed forest, agriculture, grassland, and shrubland. Ground-reference developed areas for 2005 were queried from the ADoE oil and gas infrastructure data. Training data for vegetation types and developed areas were selected from the ground reference data. Training data for exposed land/cutblocks/harvested land and water were selected manually from the 2005 LBAPC data. Areas with cloud, cloud shadow, and noise were discarded from training and validation data. Maximum Likelihood (ML) classification algorithm, Spectral Angle Mapper (SAM) partial unmixing algorithm, and Constraint Energy Minimization (CEM) partial unmixing algorithm utilized the training data with 2005 LBAPC data to produce LULC classification results. 3. ML classification algorithm was applied to the 2005 LBAPC data to produce LULC classification result with coniferous forest, broadleaf forest, mixed forest, agriculture, grassland, shrubland, exposed land/cutblock/harvested land, and water classes. 4. LULC classification result with developed areas, mixed developed areas, and transitional bare surface classes were produced from the 2005 LBAPC data by dividing the CEM partial unmixing result by the SAM partial unmixing result, followed by the K-Means clustering. Post classification techniques (i.e., majority/minority filter, clump, and sieve) were applied on each of these classes to refine the result and to minimize false detections. 5. A fused classification result was produced by combining LULC classification results from step 3 and 4. A buffer with 90 m was applied on the stream channel datasets from Alberta Energy Regulator (AER) and Alberta Merged Wetland Inventory (AMWI) to track yearly changes associated with landslide activities and the appearance or disappearance of sandbars due to water level fluctuation. This buffer zone is assigned to a separate class called shoal. 6. Accuracy assessment for the fused classification result was performed with validation data (derived from the ground-reference data in step 2) that include developed areas, mixed developed areas, coniferous forest, broadleaf forest, shrub/grass, and agriculture classes. Transient LULC types with mixed forest, exposed land/cutblocks/harvested areas, transitional bare surfaces, and shoal were not used for validation since ground reference data for these classes were not realistic.2015-01-01T00:00:00Updated coordinate reference system datum to corporate standard, NAD83.2016-01-01T00:00:00Source Contribution: The vegetative classes: coniferous forest, broadleaf forest, mixed forest, agriculture, grassland, and shrubland were acquired from the ABMI data.disc0ABMI2010-01-01publicationVersion 1.0 (ABMIw2wLCV2010v1.0)Alberta Biodiversity Monitoring InstituteresourceProvidermapDigitalBased on two raster datasets: the Canadian Forest Service Earth Observation for Sustainable Development land cover dataset, and Agriculture and Agri-Food Canada land cover dataset.ground condition2010-01-01Source Contribution: The shoal classification is derived from the stream channel vectors in this data set.online0Alberta Merged Wetland Inventory2014-01-01publicationAlberta Environment and Sustainable Resource DevelopmentresourceProvidermapDigitalA major component of this dataset is derived from Ducks Unlimited Canada's drained and boreal Enhanced Wetland Classification inventories. Http://www.capf.ca/pdfs/AWCS%20Draft%20requesting%20Public%20Feedback.pdfground condition2014-01-01Metadata Access Constraints: none Metadata Use Constraints: noneThis metadata was automatically generated from the FGDC Content Standard for Digital Geospatial Metadatastandard version FGDC-STD-001-1998 using the January 2013 version of the FGDC CSDGM to ISO 19115-2 transform.Alberta Geological SurveyAGS Information Manager(780) 638-4491(780) 422-1918

Alberta Energy Regulator4th Floor, Twin Atria Building4999-98 Avenue NWEdmontonAlbertaT6B 2X3CanadaAGS-Info@aer.ca

8:00 a.m. to 12:00 p.m. and 1:00 p.m. to 4:30 p.m.custodian