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DeepSolar

completed 1 mention

A machine learning research project to identify and map all solar panel installations across the contiguous 48 US states using artificial intelligence analysis of satellite imagery.

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Organizations

Stanford University
Education and Research
institution 62 mentions
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Often mentioned with · Organizations

Stanford University
Education and Research
institution 1 mention

Often mentioned with · Technologies

Satellite imagery analysis (Google Earth, Landsat 9)
Use of satellite and Earth observation imagery to identify fairy circles and other surface features that may indicate natural hydrogen seepage from underground deposits.
1 mention
Machine Learning
Powers predictive analytics, user segmentation, and workflow optimization within HubSpot's workspaces.
1 mention

Often mentioned with · Locations

Contiguous 48 states
Contiguous 48 states
US 1 mention

Often mentioned with · Products

DeepSolar
An AI-powered machine learning algorithm that analyzes satellite imagery to identify and map solar panel installations, providing GPS coordinates and size information for solar panels across the contiguous 48 US states.
1 mention

Often mentioned with · People

Ram Rajagopal
United States 1 mention
Arun Majumdar
United States 1 mention

Often mentioned with · Research studies

DeepSolar: Machine Learning System for Solar Panel Detection and Mapping
1 mention

In the news (1)

Artificial intelligence system locates nearly all US solar panels in the country

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