Data · dataset · 2017
Power Plant Satellite Imagery Dataset
Listed in DataCite
This dataset contains satellite imagery of 4,454 power plants within the United States.
Description
The imagery is provided at two resolutions: 1m (4-band NAIP iamgery with near-infrared) and 30m (Landsat 8, pansharpened to 15m). The NAIP imagery is available for the U.S. and Landsat 8 is available globally.
This dataset may be of value for computer vision work, machine learning, as well as energy and environmental analyses. Additionally, annotations of the specific locations of the spatial extent of the power plants in each image is provided. These annotations were collected via the crowdsourcing platform, Amazon Mechanical Turk, using multiple annotators for each image to ensure quality.
Read the rest (2 more)
Links to the sources of the imagery data, the annotation tool, and the team that created the dataset are included in the "References" section. To read more on these data, please refer to the "Power Plant Satellite Imagery Dataset Overview.pdf" file. To download a sample of the data without downloading the entire dataset, download "sample.zip" which includes two sample powerplants and the NAIP, Landsat 8, and binary annotations for each.
Note: the NAIP imagery may appear "washed out" when viewed in standard image viewing software because it includes a near-infrared band in addition to the standard RGB data.
Links
Where it is published
- Repository landing page figshare.com/articles/dataset/Power_Plant_Satellite_Imagery_Dataset/5307364 ↗
landing page · from DataCite
- DOI doi.org/10.6084/m9.figshare.5307364 ↗
DOI / persistent id · from DataCite
Documentation and papers
Catalogue records · 2
- DataCite API api.datacite.org/dois/10.6084/m9.figshare.5307364 ↗
metadata API · from DataCite
- DataCite Commons commons.datacite.org/doi.org/10.6084/m9.figshare.5307364 ↗
catalogue entry · from DataCite
Topics
- Stated by source
- Computer and information sciences · Electrical engineering, electronic engineering, information engineering · Environmental engineering · Mechanical engineering · Psychology
- Inferred from text
- Geomatic engineering 68% · Image 75% · Satellite remote sensing 65%
Related
- Inverse of same asPower Plant Satellite Imagery Dataset
Provenance · 1 source records, 16 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| DataCite | 10.6084/m9.figshare.5307364 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · DataCite | connector:datacite@1.0.0 | /data/attributes/rightsList |
| byte_size | source · DataCite | connector:datacite@1.0.0 | |
| concepts[field].anzsrc:group:4013 | enrichment · DataCite | taxonomy-embedding@1.1.0 | title+keywords+description (68%) |
| concepts[field].fos:computer-and-information-sciences | source · DataCite | connector:datacite@1.0.0 | |
| concepts[field].fos:electrical-engineering-electronic-engineering-information-engineering | source · DataCite | connector:datacite@1.0.0 | |
| concepts[field].fos:environmental-engineering | source · DataCite | connector:datacite@1.0.0 | |
| concepts[field].fos:mechanical-engineering | source · DataCite | connector:datacite@1.0.0 | |
| concepts[field].fos:psychology | source · DataCite | connector:datacite@1.0.0 | |
| concepts[modality].local:modality:image | enrichment · DataCite | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:remote-sensing | enrichment · DataCite | keyword-concept-rules@1.0.0 | title+description (65%) |
| created_date | source · DataCite | connector:datacite@1.0.0 | |
| description | source · DataCite | connector:datacite@1.0.0 | /data/attributes/descriptions |
| license | source · DataCite | connector:datacite@1.0.0 | /data/attributes/rightsList |
| publication_date | source · DataCite | connector:datacite@1.0.0 | /data/attributes/dates |
| title | source · DataCite | connector:datacite@1.0.0 | /data/attributes/titles/0/title |
| updated_date | source · DataCite | connector:datacite@1.0.0 |