Solar Asset Mapper
TZ-SAM is an open-access, asset-level dataset of solar facilities, powered by machine learning
Solar Asset Mapper's (TZ-SAM) algorithms use satellite data to detect small, commercial solar facilities globally. Updated quarterly, the dataset contains over 21,350 km² of solar across 190 countries with a combined, total estimated capacity of 853 GW.
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8
1
k
solar assets
1
9
0
countries
THE PROBLEM
Rapid, decentralised solar deployment makes it challenging to accurately forecast growth
Methodology
Powered by planetary-scale machine learning
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Locate
Trained on high-quality solar asset data, our model scans global satellite imagery for a possible match.
Validate
Possible matches are validated through automation and manual annotation.
Estimate
Additional models estimate the construction date and gigawatt capacity of validated assets.
INTERACTIVE MAP
Solar Asset Explorer
Open ExplorerOpen Explorer
01
GLOBAL
Our web UI includes every individual solar asset tracked by TZ-SAM
02
Search
Navigate to discover nearby solar assets in the database
03
ZOOM IN
See the shape, location, GW capacity and construction date of every asset
8
1
k
solar assets
8
5
3
GW of capacity
2
1
k
km² of solar
1
9
0
countries
INSIGHTS
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