Brief Session Description
Utilizing modern geospatial data sets with innovative analytic methods, the fields of remote sensing and data science provide new opportunities for the automated mass assessment and extraction of physical features of buildings. This presentation will review and categorize current trends in the remote sensing literature regarding automated building extraction from geospatial data and present two innovative case studies from the New York City Department of Finance on building change detection using Lidar and Machine Learning methods.
Presentation Category
Assessment Technology
Audience Expertise
Introductory (Assumes the participant has little or no knowledge of the areas covered.)
Location
223-224
Start Date
9-9-2019 9:30 AM
End Date
9-9-2019 10:30 AM
Moderator Name
Dan Fasteen
Apendium Knowledge Area
Collecting and Maintaining Property Data
Innovative Geospatial Approaches for Change Detection and Assessment of Buildings
223-224
Utilizing modern geospatial data sets with innovative analytic methods, the fields of remote sensing and data science provide new opportunities for the automated mass assessment and extraction of physical features of buildings. This presentation will review and categorize current trends in the remote sensing literature regarding automated building extraction from geospatial data and present two innovative case studies from the New York City Department of Finance on building change detection using Lidar and Machine Learning methods.
