GeoAI and Deep Learning Symposium: GeoAI for Feature Detection and Recognition
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: 8:30 AM - 9:50 AM
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):
Samantha Arundel U.S. Geological Survey
Chair(s):
Samantha Arundel U.S. Geological Survey
Description:
Geospatial artificial intelligence (GeoAI) has broad applications in the geosciences. One promising area of GeoAI research is the detection and recognition of geomorphic features by AI. Image classification is at the core of classic machine learning (ML) functions. Yet, new and novel applications in ML feature detection and recognition in the geosciences are unveiled in academic journals seemingly every month. Likewise, advances in deep learning (DL) have allowed geoscientists to overcome many of the data issues constraining ML applications in our earth science fields. Whether it’s hydrologic feature extraction employing traditional ML image segmentation from remote sensing and elevation data or the ability of DL to identify and predict short-term weather patterns from satellite images, GeoAI is transforming how we observe, measure, and predict natural phenomenon.
Presentations (if applicable) and Session Agenda:
Zhenghong Tang |
Assessing the Contemporary Status of Nebraska’s Eastern Saline Wetlands by Using a Machine Learning Algorithm on the Google Earth Engine Cloud Computing Platform |
Lasya Venigalla |
Histogram based object classification using 1D Convolution Neural Networks |
Jack Gonzales |
mind_the_gap: An algorithm for automated gap detection in building footprints data |
Jia Jun Chang |
Using Convolution Neural Network to Extract Environmental Feature – taken Real Estate Appraisal as a precedent |
Non-Presenting Participants
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GeoAI and Deep Learning Symposium: GeoAI for Feature Detection and Recognition
Description
Type: Paper,
Date: 3/23/2023
Time: 8:30 AM - 9:50 AM
Room: Capitol Ballroom 3, Hyatt Regency, Fourth Floor
Contact the Primary Organizer
Samantha Arundel U.S. Geological Survey
sarundel@usgs.gov
Session Sponsored By
