Data · dataset · 2022
UAV-HSI-Crop-Dataset
Listed in ScienceDB
The study area locates in Shenzhou City, Hebei Province, China, and it consists of two sub-regions, Majiakou Village's plots(MJK_N, MJK_S) and Xijingmeng Valliage's plots(XJM).
Description
The hyperspectral data obtained on September 18th, 2019, with an electric hexacopter. The UAV carried the sensor Pika L hyperspectral imager made by Resonon company, which has a spectral range of 385nm to 1024nm with a total of 200 bands.
And the flight height was set to be 100 m, resulting in a spatial resolution of 0.1 m per pixel. Spectronon and ENVI software was utilized for the post-processing of the hyperspectral data, including radiometric calibration, geometric correction, image stitching, and atmospheric correction. The images cropped to the 96*96*200 patches, then split into the Training set and Test set with a ratio of 8:2.
Read the rest (1 more)
The patches in the dataset are all numpy data type.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.01898 ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.57760%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Computer Science & AI · Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Image 75%
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.01898 | 9 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:engineering | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:humanities | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[modality].local:modality:image | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/rights |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |