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Data · collection · 2023

ramp Building Footprint Dataset - Paris, France

Listed in NASA Earthdata CMR

This chipped training dataset is over Paris and includes 30cm high-resolution imagery (.tif format) and corresponding building footprint vector labels (.geojson format) in 256 x 256 or smaller pixel tile/label pairs.

Description

This dataset is a ramp Tier 1 dataset, meaning it has been thoroughly reviewed and improved. This dataset was used in developing the ramp baseline model and contains 1,027 tiles and 3,468 buildings.

The original dataset was sourced from the SpaceNet 2 Dataset before the imagery was tiled down from 650x650 pixel chips and labels were revised to be consistent with the ramp datasets notion of rooftop as the building footprint. Dataset keywords: Urban, Dense.

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Where it is published

Catalogue records · 2

Topics

Stated by source
Vector Labels · WORLDVIEW-3

Related

Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
NASA Earthdata CMRC2781412367-MLHUB10 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · NASA CMRconnector:nasa_cmr@1.0.0
concepts[measured_variable].gcmd:earth-science-services/machine-learning-training-data/labels/vector-labelssource · NASA CMRconnector:nasa_cmr@1.0.0
concepts[platform].gcmd_platform:worldview-3source · NASA CMRconnector:nasa_cmr@1.0.0
created_datesource · NASA CMRconnector:nasa_cmr@1.0.0
descriptionsource · NASA CMRconnector:nasa_cmr@1.0.0/umm/Abstract
license_textsource · NASA CMRconnector:nasa_cmr@1.0.0
publication_datesource · NASA CMRconnector:nasa_cmr@1.0.0
spatialsource · NASA CMRconnector:nasa_cmr@1.0.0/umm/SpatialExtent
temporalsource · NASA CMRconnector:nasa_cmr@1.0.0/umm/TemporalExtents
titlesource · NASA CMRconnector:nasa_cmr@1.0.0/umm/EntryTitle
version_labelsource · NASA CMRconnector:nasa_cmr@1.0.0