Data · collection · 2023
ramp Building Footprint Dataset - Karnataka, India
Listed in NASA Earthdata CMR
This chipped training dataset is over Karnataka and includes high-resolution imagery (.tif format) and corresponding building footprint vector labels (.geojson format) in 256 x 256 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 6,288 tiles and 51,335 individual buildings.
The satellite imagery resolution is 30 cm and was sourced from Maxar ODP (104001002CA32300). Dataset keywords: Rural, Agricultural, Peri-urban.
Links
Get the data
- Dataset Detail and Download Page source.coop/ramp/ramp ↗
landing page · download · from NASA CMR
Where it is published
- DOI doi.org/10.34911/rdnt.5y2w17 ↗
DOI / persistent id · from NASA CMR
Catalogue records · 2
- CMR UMM-JSON cmr.earthdata.nasa.gov/search/concepts/C2781411881-MLHUB.umm_json ↗
metadata API · from NASA CMR
- CMR record cmr.earthdata.nasa.gov/search/concepts/C2781411881-MLHUB.html ↗
catalogue entry · from NASA CMR
Topics
- Stated by source
- Vector Labels · WORLDVIEW-3
- Inferred from text
- Satellite remote sensing 65%
Related
- Possibly the same asramp Building Footprint Dataset - Nairobi, Kenya
- Possibly the same asramp Building Footprint Dataset - Manjama, Sierra Leone
- Possibly the same asramp Building Footprint Dataset - Dar es Salaam, Tanzania
- Possibly the same asramp Building Footprint Dataset - N'Djamena, Chad
- Possibly the same asramp Building Footprint Dataset - Wa, Ghana
- Possibly the same asramp Building Footprint Dataset - Dhaka, Bangladesh
- Possibly the same asramp Building Footprint Dataset - Lubumbashi, Democratic Republic of the Congo
- Possibly the same asramp Building Footprint Dataset - Muscat, Oman
- Possibly the same asramp Building Footprint Dataset - Sylhet, Bangladesh
- Possibly the same asramp Building Footprint Dataset - Shanghai, China
- Possibly the same asramp Building Footprint Dataset - Cox's Bazar, Bangladesh
- Possibly the same asramp Building Footprint Dataset - Paris, France
- Possibly the same asramp Building Footprint Dataset - Mesopotamia, St. Vincent
- Possibly the same asramp Building Footprint Dataset - Accra, Ghana
- Possibly the same asramp Building Footprint Dataset - Barishal, Bangladesh
- Possibly the same asramp Building Footprint Dataset - Chittagong, Bangladesh
- Possibly the same asramp Building Footprint Dataset - Bentiu, South Sudan
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NASA Earthdata CMR | C2781411881-MLHUB | 8 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NASA CMR | connector:nasa_cmr@1.0.0 | |
| concepts[measured_variable].gcmd:earth-science-services/machine-learning-training-data/labels/vector-labels | source · NASA CMR | connector:nasa_cmr@1.0.0 | |
| concepts[modality].local:modality:remote-sensing | enrichment · NASA CMR | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[platform].gcmd_platform:worldview-3 | source · NASA CMR | connector:nasa_cmr@1.0.0 | |
| created_date | source · NASA CMR | connector:nasa_cmr@1.0.0 | |
| description | source · NASA CMR | connector:nasa_cmr@1.0.0 | /umm/Abstract |
| license_text | source · NASA CMR | connector:nasa_cmr@1.0.0 | |
| publication_date | source · NASA CMR | connector:nasa_cmr@1.0.0 | |
| spatial | source · NASA CMR | connector:nasa_cmr@1.0.0 | /umm/SpatialExtent |
| temporal | source · NASA CMR | connector:nasa_cmr@1.0.0 | /umm/TemporalExtents |
| title | source · NASA CMR | connector:nasa_cmr@1.0.0 | /umm/EntryTitle |
| version_label | source · NASA CMR | connector:nasa_cmr@1.0.0 |