Lot 16B · Stoneham, Maine

491 Main Street (Route 5), Stoneham, ME 04231. North side of the road, between lots 16A and 16.

0.89 acArea

829 ftPerimeter · 5 corners

633–670 ftElevation a.s.l.

~15% · SSWAverage slope · falls toward

Views

Eye height9.8 ft

AI-generated photos and videos

AI-generated from renders of the 3D model. Landforms, view directions, building positions and open vs wooded areas follow map data; the exact trees, roofs, colours and the look of the lot are illustrative.

Sun · Stoneham (UTC−4)

Month

Time16:30

Lot corners (tax map) · UTM WGS84 19N

Tax Map U2-1-16B-1

Stn.	East (X)	North (Y)
C-1	354872.73	4901599.54
C-2	354843.92	4901548.42
C-3	354830.49	4901562.85
C-4	354804.81	4901591.28
C-5	354842.35	4901654.38

What the model shows. Terrain from USGS 3DEP 1 m lidar (2026 release) around the lot and USGS 1/3 arc-second data beyond. Trees stand where the Meta & WRI canopy height map (from Sept. 2015 imagery) shows canopy, and are sized to its heights; their shapes and species are illustrative. The lot boundary is Stoneham's official digital tax parcel U2-1-16B-1; its sides match the 1973 tax map (190, 231, 200 and 180 ft) within about 10 ft, and digitized tax maps are not a boundary survey. Neighbouring buildings are Microsoft's machine-learned footprints with estimated heights and simplified roofs. The corner table is in metres (UTM).

Sources

Lot boundary: Stoneham tax map U-2, digital parcel U2-1-16B-1 (Maine GeoLibrary, digitized 2012 from the 1973 property map), 1 Apr 2012 · public record
Bare-earth terrain: USGS 3DEP 1/3 arc-second (29 Jul 2026) · public domain
Bare-earth terrain: USGS 3DEP 1 m (28 Jul 2026) · public domain
Satellite imagery: Esri World Imagery (Maxar, Earthstar Geographics) (8 Oct 2024) · under the provider's terms of use
Recent changes, approximate (10 m pixels): Copernicus Sentinel-2 L2A (Element 84 Earth Search) (4 Aug–12 Sep 2026, compared with 2024) · free and open data, attribution required
Roads and places: OpenStreetMap (26 Sep 2026) · ODbL 1.0
Tree canopy heights (machine-learned): Meta & WRI High Resolution Canopy Height Maps (28 Sep 2015) · CC BY 4.0, attribution required
Building footprints (machine-learned; heights estimated): Microsoft Global ML Building Footprints (3 Feb 2026) · ODbL 1.0, attribution required

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