Presentation Title

Innovative Geospatial Approaches for Change Detection and Assessment of Buildings

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

Appendium Knowledge Area

Collecting and Maintaining Property Data

This document is currently not available here.

Share

COinS
 
Sep 9th, 9:30 AM Sep 9th, 10:30 AM

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.