Data · collection · 2023
ramp Building Footprint Dataset - Dhaka, Bangladesh
Listed in NASA Earthdata CMR
This chipped training dataset is over Dhaka 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 fine-tune Dhaka Model and contains 11,905 tiles and 189,057 individual buildings.
The satellite imagery resolution is 30 cm and sourced from Maxar ODP (BG_Dhaka_19Q3_V0_R6C3, ...R6C4, ...R3C2, ...R2C3, ...R3C4). Dataset keywords: Very Dense Urban, Rural, Agricultural, Forested.
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.848og9 ↗
DOI / persistent id · from NASA CMR
Catalogue records · 2
- CMR UMM-JSON cmr.earthdata.nasa.gov/search/concepts/C2781412306-MLHUB.umm_json ↗
metadata API · from NASA CMR
- CMR record cmr.earthdata.nasa.gov/search/concepts/C2781412306-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 - Mzuzu, Malawi
- Possibly the same asramp Building Footprint Dataset - Hpa-an, Myanmar
- Possibly the same asramp Building Footprint Dataset - Les Cayes, Haiti
- Possibly the same asramp Building Footprint Dataset - Karnataka, India
- Possibly the same asramp Building Footprint Dataset - Jashore, Bangladesh
- Possibly the same asramp Building Footprint Dataset - Shanghai, China
- 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 - Cox's Bazar, Bangladesh
- 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 | C2781412306-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 |