Geo for Good 2023: Lightning Talks: Climate Change Adaptation

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Published on ● Video Link: https://www.youtube.com/watch?v=scl3ok8xIBk



Duration: 53:13
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The slide deck for this talk → https://docs.google.com/presentation/d/1NUIZyo7XEBOWDITCjxkH2SJaV3ABQlyfWTb15aBAMao/edit?usp=sharing
More about the 2023 Geo for Good Summit → https://g.co/earth/geoforgood23

During this session, you'll hear 10 lightning talks featuring topics around using mapping tools for resilience and adaptation to the worst impacts of climate change.

Kishore Kowtham, Anna University, “Flood Maps -A disaster mitigation and preparedness need”

Adagbasa Efosa Gbenga, University of the Free State, “Geospatial analysis of wildfires and the potential impact on wilderness and parks using advanced remote sensing and machine learning.”

Luiz Felipe Morais Martenexen, Amazon Environmental Research Institute (IPAM), “Mapbiomas Fire Monitor: Sentinel Based Monthly Mapping of Burned Area in Brazil using Deep Learning Techniques”

Eric Jensen, Desert Research Institute, “Applications of Climate Engine for analyzing ecological change and informing resource management and conservation actions”

Annie Taylor, UC Berkeley, “Using EE to support the Amah Mutsun Tribal Band’s work to restore fire in culturally important grasslands in California”

Matthew Hutchinson and Erin Trochim, Woolpert and University of Alaska Fairbanks, “Advancing Geospatial Research, Education and Climate Change Mitigation in Alaska with Cloud-First, Multi-Modality Remotely Sensed Data using Aerial Collection from the US National Coastal Mapping Program”

Elliot Hohn, The Freshwater Trust, “Using geospatial analytics to guide large-scale freshwater conservation programs with BasinScout”

Rebecca Willison, Farmer’s Business Network, Inc., “Scaling regenerative agricultural supply chain programs with GEE”

Luwen Wan, ​​Michigan State University, “SEETileDrain:Spatially Explicit Estimate of Tile Drainage across the US Midwest using remote sensing and machine learning”

Tianjia (Tina) Liu, UC Irvine, “Systematically tracking the hourly progression of large wildfires using GOES satellite observations”




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