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THIS FEATURE CLASS CONTAINS PRELIMINARY STRUCTURE (BUILDING) POLYGONS FOR THE state of Alaska. The structures (buildings) are represented by polygon geometries with an attribute table described elsewhere in the metadata. WorldView-02 and WorldView-03 high resolution multispectral imagery was obtained for Alaska. The raw imagery (1B product) for Alaska was then pan-sharpened and orthorectified. Complete coverage of Alaska with minimal cloud cover includes imagery acquired between 04/09/2010 and 9/29/2020 and spatial resolutions between 0.46-0.85 meters. Once the imagery pre-processing was complete, training data was acquired and multiple convolutional neural network (CNN) models were generated. High Performance Computing (HPC) environments at ORNL were then used to apply the CNN to the imagery resulting in this preliminary structure (building) feature class. Minimal review of this dataset has been completed. Verification and validation of this dataset was conducted by an algorithmic model. See ‘Automated’ domain value for VAL_METHOD for more details. Only structure polygon results whose area is greater than 450 square feet are included in this feature class. The attribute schema associated with this feature class has been revised from previous data submissions. Population of some attributes is incomplete and identified in the Entity and Attribute Information section of this metadata. The visual representation of the features in this feature class have been improved. NOTE: records with IMAGE_NAME = NOT AVAILABLE represent structures that were digitized by conventional methods using the best available open source imagery.
THIS FEATURE CLASS CONTAINS PRELIMINARY STRUCTURE (BUILDING) POLYGONS FOR THE state of Alaska. The structures (buildings) are represented by polygon geometries with an attribute table described elsewhere in the metadata. WorldView-02 and WorldView-03 high resolution multispectral imagery was obtained for Alaska. The raw imagery (1B product) for Alaska was then pan-sharpened and orthorectified. Complete coverage of Alaska with minimal cloud cover includes imagery acquired between 04/09/2010 and 9/29/2020 and spatial resolutions between 0.46-0.85 meters. Once the imagery pre-processing was complete, training data was acquired and multiple convolutional neural network (CNN) models were generated. High Performance Computing (HPC) environments at ORNL were then used to apply the CNN to the imagery resulting in this preliminary structure (building) feature class. Minimal review of this dataset has been completed. Verification and validation of this dataset was conducted by an algorithmic model. See ‘Automated’ domain value for VAL_METHOD for more details. Only structure polygon results whose area is greater than 450 square feet are included in this feature class. The attribute schema associated with this feature class has been revised from previous data submissions. Population of some attributes is incomplete and identified in the Entity and Attribute Information section of this metadata. The visual representation of the features in this feature class have been improved. NOTE: records with IMAGE_NAME = NOT AVAILABLE represent structures that were digitized by conventional methods using the best available open source imagery.
THIS FEATURE CLASS CONTAINS PRELIMINARY STRUCTURE (BUILDING) POLYGONS FOR THE state of Alaska. The structures (buildings) are represented by polygon geometries with an attribute table described elsewhere in the metadata. WorldView-02 and WorldView-03 high resolution multispectral imagery was obtained for Alaska. The raw imagery (1B product) for Alaska was then pan-sharpened and orthorectified. Complete coverage of Alaska with minimal cloud cover includes imagery acquired between 04/09/2010 and 9/29/2020 and spatial resolutions between 0.46-0.85 meters. Once the imagery pre-processing was complete, training data was acquired and multiple convolutional neural network (CNN) models were generated. High Performance Computing (HPC) environments at ORNL were then used to apply the CNN to the imagery resulting in this preliminary structure (building) feature class. Minimal review of this dataset has been completed. Verification and validation of this dataset was conducted by an algorithmic model. See ‘Automated’ domain value for VAL_METHOD for more details. Only structure polygon results whose area is greater than 450 square feet are included in this feature class. The attribute schema associated with this feature class has been revised from previous data submissions. Population of some attributes is incomplete and identified in the Entity and Attribute Information section of this metadata. The visual representation of the features in this feature class have been improved. NOTE: records with IMAGE_NAME = NOT AVAILABLE represent structures that were digitized by conventional methods using the best available open source imagery.
THIS FEATURE CLASS CONTAINS PRELIMINARY STRUCTURE (BUILDING) POLYGONS FOR THE state of Alaska. The structures (buildings) are represented by polygon geometries with an attribute table described elsewhere in the metadata. WorldView-02 and WorldView-03 high resolution multispectral imagery was obtained for Alaska. The raw imagery (1B product) for Alaska was then pan-sharpened and orthorectified. Complete coverage of Alaska with minimal cloud cover includes imagery acquired between 04/09/2010 and 9/29/2020 and spatial resolutions between 0.46-0.85 meters. Once the imagery pre-processing was complete, training data was acquired and multiple convolutional neural network (CNN) models were generated. High Performance Computing (HPC) environments at ORNL were then used to apply the CNN to the imagery resulting in this preliminary structure (building) feature class. Minimal review of this dataset has been completed. Verification and validation of this dataset was conducted by an algorithmic model. See ‘Automated’ domain value for VAL_METHOD for more details. Only structure polygon results whose area is greater than 450 square feet are included in this feature class. The attribute schema associated with this feature class has been revised from previous data submissions. Population of some attributes is incomplete and identified in the Entity and Attribute Information section of this metadata. The visual representation of the features in this feature class have been improved. NOTE: records with IMAGE_NAME = NOT AVAILABLE represent structures that were digitized by conventional methods using the best available open source imagery.
THIS FEATURE CLASS CONTAINS PRELIMINARY STRUCTURE (BUILDING) POLYGONS FOR THE state of Alaska. The structures (buildings) are represented by polygon geometries with an attribute table described elsewhere in the metadata. WorldView-02 and WorldView-03 high resolution multispectral imagery was obtained for Alaska. The raw imagery (1B product) for Alaska was then pan-sharpened and orthorectified. Complete coverage of Alaska with minimal cloud cover includes imagery acquired between 04/09/2010 and 9/29/2020 and spatial resolutions between 0.46-0.85 meters. Once the imagery pre-processing was complete, training data was acquired and multiple convolutional neural network (CNN) models were generated. High Performance Computing (HPC) environments at ORNL were then used to apply the CNN to the imagery resulting in this preliminary structure (building) feature class. Minimal review of this dataset has been completed. Verification and validation of this dataset was conducted by an algorithmic model. See ‘Automated’ domain value for VAL_METHOD for more details. Only structure polygon results whose area is greater than 450 square feet are included in this feature class. The attribute schema associated with this feature class has been revised from previous data submissions. Population of some attributes is incomplete and identified in the Entity and Attribute Information section of this metadata. The visual representation of the features in this feature class have been improved. NOTE: records with IMAGE_NAME = NOT AVAILABLE represent structures that were digitized by conventional methods using the best available open source imagery.
THIS FEATURE CLASS CONTAINS PRELIMINARY STRUCTURE (BUILDING) POLYGONS FOR THE state of Alaska. The structures (buildings) are represented by polygon geometries with an attribute table described elsewhere in the metadata. WorldView-02 and WorldView-03 high resolution multispectral imagery was obtained for Alaska. The raw imagery (1B product) for Alaska was then pan-sharpened and orthorectified. Complete coverage of Alaska with minimal cloud cover includes imagery acquired between 04/09/2010 and 9/29/2020 and spatial resolutions between 0.46-0.85 meters. Once the imagery pre-processing was complete, training data was acquired and multiple convolutional neural network (CNN) models were generated. High Performance Computing (HPC) environments at ORNL were then used to apply the CNN to the imagery resulting in this preliminary structure (building) feature class. Minimal review of this dataset has been completed. Verification and validation of this dataset was conducted by an algorithmic model. See ‘Automated’ domain value for VAL_METHOD for more details. Only structure polygon results whose area is greater than 450 square feet are included in this feature class. The attribute schema associated with this feature class has been revised from previous data submissions. Population of some attributes is incomplete and identified in the Entity and Attribute Information section of this metadata. The visual representation of the features in this feature class have been improved. NOTE: records with IMAGE_NAME = NOT AVAILABLE represent structures that were digitized by conventional methods using the best available open source imagery.
THIS FEATURE CLASS CONTAINS PRELIMINARY STRUCTURE (BUILDING) POLYGONS FOR THE state of Alaska. The structures (buildings) are represented by polygon geometries with an attribute table described elsewhere in the metadata. WorldView-02 and WorldView-03 high resolution multispectral imagery was obtained for Alaska. The raw imagery (1B product) for Alaska was then pan-sharpened and orthorectified. Complete coverage of Alaska with minimal cloud cover includes imagery acquired between 04/09/2010 and 9/29/2020 and spatial resolutions between 0.46-0.85 meters. Once the imagery pre-processing was complete, training data was acquired and multiple convolutional neural network (CNN) models were generated. High Performance Computing (HPC) environments at ORNL were then used to apply the CNN to the imagery resulting in this preliminary structure (building) feature class. Minimal review of this dataset has been completed. Verification and validation of this dataset was conducted by an algorithmic model. See ‘Automated’ domain value for VAL_METHOD for more details. Only structure polygon results whose area is greater than 450 square feet are included in this feature class. The attribute schema associated with this feature class has been revised from previous data submissions. Population of some attributes is incomplete and identified in the Entity and Attribute Information section of this metadata. The visual representation of the features in this feature class have been improved. NOTE: records with IMAGE_NAME = NOT AVAILABLE represent structures that were digitized by conventional methods using the best available open source imagery.
THIS FEATURE CLASS CONTAINS PRELIMINARY STRUCTURE (BUILDING) POLYGONS FOR THE state of Alaska. The structures (buildings) are represented by polygon geometries with an attribute table described elsewhere in the metadata. WorldView-02 and WorldView-03 high resolution multispectral imagery was obtained for Alaska. The raw imagery (1B product) for Alaska was then pan-sharpened and orthorectified. Complete coverage of Alaska with minimal cloud cover includes imagery acquired between 04/09/2010 and 9/29/2020 and spatial resolutions between 0.46-0.85 meters. Once the imagery pre-processing was complete, training data was acquired and multiple convolutional neural network (CNN) models were generated. High Performance Computing (HPC) environments at ORNL were then used to apply the CNN to the imagery resulting in this preliminary structure (building) feature class. Minimal review of this dataset has been completed. Verification and validation of this dataset was conducted by an algorithmic model. See ‘Automated’ domain value for VAL_METHOD for more details. Only structure polygon results whose area is greater than 450 square feet are included in this feature class. The attribute schema associated with this feature class has been revised from previous data submissions. Population of some attributes is incomplete and identified in the Entity and Attribute Information section of this metadata. The visual representation of the features in this feature class have been improved. NOTE: records with IMAGE_NAME = NOT AVAILABLE represent structures that were digitized by conventional methods using the best available open source imagery.