Project Sunroof 2025

What is the primary purpose of the "2025 Sunroof Data Refresh"?

• To introduce a new Solar API.

• To refresh worldwide Project Sunroof data, improving quality and covering more buildings.

• To update financial models for existing solar panels.

• To launch a new satellite imagery program.

Which major Google entity partnered with Project Sunroof to improve imagery quality for more detailed buildings in the 2025 data refresh?

• Google Maps

• Google AI

• Google DeepMind

• Google Earth Engine

What specific improvements were made to DSM Quality for Medium resolution imagery in the 2025 data refresh?

• Only increased coverage of buildings.

• Reduced artifacts, higher effective resolution for heights, straighter ridgelines, smoother planar segments, and detailed obstacles.

• Improved financial modeling accuracy.

• Faster data processing times.

What is the Ariane launch impact category for the Candid Results Improvements launch?

• Medium

• Ariana launch was not required

• Minor

• Major

How much did pitch errors decrease when measured against high-resolution DSM data with the latest model improvements in the 2025 data refresh?

• From 50% to 10%.

• From 20% to 2%.

• From 15% to 5%.

• Pitch errors were not measured.

What was the improvement in IOU metrics for roof segmentation when compared to hand-annotated labels, according to the 2025 data refresh notes?

• From 0.50 to 0.65.

• From 0.63 to 0.75.

• From 0.70 to 0.80.

• IOU metrics were not mentioned for roof segmentation.

The 2025 data refresh includes an updated building dataset. What does this mean for Solar API coverage?

• A 15% increase in coverage, primarily in the US.

• Tens of millions of new buildings, increasing coverage especially outside the US, and an overall 7% increase in buildings covered.

• It only updates existing building data, no new coverage.

• It removes all non-building structures from the dataset.

What key update was made to Building Energy Modelling in the 2025 data refresh?

• A new model for predicting weather patterns.

• Application of a newer, more accurate model for energy usage, including hourly panel performance and building energy demand.

• Removal of energy modeling features to simplify the API.

• Expansion of functionality to Europe in 2024.

What is the main objective of the "Pipeline V2 Scheduling Tools" project?

• To replace all manual data processes.

• To build an interface for Pipeline V2 suitable for production use and simplify safe Solar data release processes.

• To integrate Solar data with other Google products.

• To reduce the amount of data stored in Spanner tables.

What deprecated system did Pipeline V2 replace for scheduling the Solar pipeline's jobs?

• rpcStudio.

• Stubby CLI.

• PatchPanel.

• Borg.