GeoAI and Deep Learning Symposium: GeoAI for cartography and mapping
The session recording will be archived on the site until June 25th, 2023
This session was streamed but not recorded
Date: 3/23/2023
Time: 4:30 PM - 5:50 PM
Room: Capitol Ballroom 3, Hyatt Regency, Fourth Floor
Type: Paper,
Theme:
Curated Track:
Sponsor Group(s):
No Sponsor Group Associated with this Session
Organizer(s):
Yao-Yi Chiang University of Minnesota
Jina Kim University of Minnesota
Yijun Lin University of Minnesota
Chair(s):
Yao-Yi Chiang University of Minnesota
Yijun Lin University of Minnesota
Description:
Longitudinal, detailed data on the states of landscapes and human activities at the continental scale are essential to answering critical social and environmental science questions. However, for the periods before the 1970s, such data exist only on printed map sheets. They were created, for example, by the US Geological Survey (USGS), which produced over 178,000 topographic map sheets between 1884 and 2006. Recently, many of these maps have been scanned and are available publicly. As the best continuous, pre-satellite imagery, these maps have exceptional scientific, cultural, and societal value because they hold high-resolution data collected and mapped at high (and well-documented) accuracy standards. This session aims to showcase methodological and system advances in GeoAI for processing scanned maps for transforming them into spatiotemporal data collections.
Presentations (if applicable) and Session Agenda:
Yao-Yi Chiang |
The mapKurator System: Extracting and Linking Text from Large Numbers of Historical Map Scans |
Yijun Lin |
SynMap: A Synthetic Dataset for Text Spotting in Scanned Historical Maps |
Harvey Miller, The Ohio State University |
Creating High Resolution, Three-Dimensional Digital Models of Historic Urban Neighborhoods from Sanborn Fire Insurance Maps using Machine Learning |
Yingjie Hu, University At Buffalo |
Enriching the metadata of map images: a deep learning approach with GIS-based data augmentation |
Malcolm Grossman |
Linking WHG: An analysis of SpaBERT's performance on WHG |
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GeoAI and Deep Learning Symposium: GeoAI for cartography and mapping
Description
Type: Paper,
Date: 3/23/2023
Time: 4:30 PM - 5:50 PM
Room: Capitol Ballroom 3, Hyatt Regency, Fourth Floor
Contact the Primary Organizer
Yao-Yi Chiang University of Minnesota
yaoyi@umn.edu
Session Sponsored By
