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Session Proposal: Global Assessment of Distributed Energy Resources Using Community Mapping, Image Analysis, and Remote Sensing Techniques (AGU25)

GC057
Global Assessment of Distributed Energy Resources Using Community Mapping, Image Analysis, and Remote Sensing Techniques

Session ID#: 249682

Session Description:
As global consumers reduce dependence on fossil fuels in favor of electricity generated from and stored using renewable resources, the carbon-heavy supporting infrastructure is being replaced by distributed energy resources (DERs). These systems are typically locally installed and owned, light in footprint, and woven into the fabric of communities. They are also inherently hard to track. Market planning requires aggregation of global data on rooftop and community solar, agricultural geothermal systems, micro-grids, and other DER components. We invite scientists working from the ground to the Earth’s orbit to submit studies on new and existing technologies including but not limited to Graphic Information System (GIS) mapping, image analysis, remote sensing, and other ways in which we document the rapid uptake of renewable energy by society. Policy makers need Earth and space scientists to capture infrastructure data where it lives - with the people who are using energy.
Co-Sponsor(s):
  • EP - Earth and Planetary Surface Processes
  • IN - Informatics
  • SY - Science and Society
Index Terms:

1630 Impacts of global change [GLOBAL CHANGE]
1640 Remote sensing [GLOBAL CHANGE]
1926 Geospatial [INFORMATICS]
1928 GIS science [INFORMATICS]
Primary Convener:  Edith Newton Wilson, Rock Whisperer LLC, Tulsa, United States
Conveners:  Ryan Kmetz, IQSpatial, Baltimore, United States and Jose Pillich, IQSpatial, New York City, United States
 
High-resolution Mapping of Techinical and Deployable Rooftop Solar Potential across Chinese Cities (1880524)
Mai Shi, University of Michigan Ann Arbor, School of Environment and Sustainability, Ann Arbor, United States, Xi Lu, Tsinghua University, Beijing, China and Michael Craig, University of Michigan, School for Environment and Sustainability, Ann Arbor, United States
 
Evaluating and Comparing Multimodal Large Language Models for Rooftop Solar Panel Detection (1975551)
Liana Zhu1, Yishi Wang2, Lu Zhang3 and Kelly Sanders2, (1)University of Southern California, Computer Science, Los Angeles, United States, (2)University of Southern California, Civil and Environmental Engineering, Los Angeles, CA, United States, (3)University of Southern California, Biostatistics, Los Angeles, United States