CalGIS 2025

This session explores innovative applications of AI and deep learning in remote sensing, thermal surveys, and infrastructure assessment. Attendees will learn about a Methodological Rigor Index (MRI) for evaluating deep learning survey papers, thermal infrared (TIR) mapping of geothermal activity, and machine learning-driven pavement condition assessments. The insights provided will showcase how geospatial data enhances scientific rigor, environmental monitoring, and road infrastructure management. This session is ideal for those interested in the intersection of AI, geospatial analysis, and real-world applications.

Discover how GIS is being leveraged to address environmental challenges and protect cultural heritage in California and beyond. This session will feature two groundbreaking geospatial applications: the Tijuana River Index, a cross-border mapping tool designed to combat watershed hazards like sedimentation and aquatic pollution, and the Arches Project, an open-source platform integrated with Esri tools to tackle historic preservation, emergency management, and urban planning. Presenters will share insights into data collection, interactive mapping, and real-world applications that enhance environmental sustainability and cultural resource management. Attendees will walk away with practical strategies and inspiration to implement GIS for impactful decision-making in their own communities.

Tijuana River Index
Jack Daley, Geospatial Analyst, Arup

Integrating Arches and Esri: Transforming California’s Geospatial Workflows
Peter Hansen and Adam Lodge, Geospatial Systems Consultants, Farallon Geographics