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Street-Level and Map Intelligence

3 min read Created Aug 10, 2026 Last updated Aug 10, 2026

Overview

Street-level imagery is the final confirmation step for a ground photo. Matching the target image against a panorama from the same viewpoint proves the location beyond the circumstantial visual clues. Coverage varies enormously by country, so knowing which platform covers a given region is half the task.

Platform Coverage

  • Google Street View: the broadest global coverage, with a historical slider showing past captures of the same spot.

  • Mapillary: open, crowd-sourced imagery with an API, often covering places Street View does not, including inside private and rural areas.

  • KartaView: another open crowd-sourced platform, a useful second source where Mapillary is sparse.

  • Yandex Panoramas: the strongest coverage across Russia and much of the former Soviet space.

  • Bing Streetside, Baidu Total View in China, and Kakao and Naver in South Korea: regional platforms that fill major gaps in Google coverage.

Querying Mapillary by Location

Mapillary exposes an API, so you can pull every street image within a bounding box around a coordinate rather than browsing manually. This is useful for coverage that is not in the web map or for scripting a sweep of an area.

┌──(kali㉿kali)-[~]
└─$ curl -s "https://graph.mapillary.com/images?access_token=$MAPILLARY_TOKEN&bbox=$MIN_LON,$MIN_LAT,$MAX_LON,$MAX_LAT&fields=id,captured_at,computed_geometry,thumb_2048_url&limit=20" | jq '.data[] | {id, captured_at, geom: .computed_geometry.coordinates}'

Each result carries its own coordinate and capture time, so you can pick the image closest to your suspected viewpoint and pull its full-resolution frame from the returned URL.

Matching the Viewpoint

Confirmation is geometric. Line up fixed, slow-changing features between the target photo and the panorama:

  • Building edges, storey counts, and roofline shape.

  • Permanent street furniture: lamp posts, bollards, hydrants, post boxes.

  • Road layout, kerb lines, and the angle between streets at a junction.

Ignore transient elements such as parked cars, foliage, and advertising, which change between captures. Use the historical slider to find a panorama dated close to the target photo when a feature has since changed.

When There Is No Coverage

Rural areas, closed campuses, and many countries have no street-level imagery at all. Fall back to geotagged photos on mapping and travel platforms, tourist images on photo-sharing sites, and user-contributed pictures attached to map points of interest. These give ground-level views where no panorama exists.

References