Data · dataset · 2025
A Method for the Extraction of Apocynum venetum L. Spatial Distribution in Yuli County, Xinjiang, via an Improved SegFormer Network
Listed in Teesside University Research Data Repository
The collection of ground survey data is essential for creating more accurate samples during classification and for validating the subsequent identification and extraction accuracy of Apocynum.
Description
Ground surveys of Apocynum were conducted within the study area on 25 August, 2023, to obtain sample data for Apocynum within the plots. Photographs of the actual sample points were taken and preserved, and the latitude and longitude coordinates of each feature block, as well as the crop type, were recorded to facilitate the creation of training labels, which allows for a better grasp of the characteristics of the Apocynum.
Based on the actual ground survey and visual interpretation, a total of 6,175 Apocynum sample points were obtained in an area of Yuli County where the Apocynum distribution is relatively dense (86.5°E, 41.3°N).The data for this study comes from field ecological surveys. No plant specimens were collected. Species were identified based on morphological features observed in the field.
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Links
Where it is published
- DOI doi.org/10.17632/fk8vtdmxfk.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Computer Science & AI · Deep learning · Earth & Environmental Science
Provenance · 1 source records, 7 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/fk8vtdmxfk.1 | 7 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:field:461103 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Deep Learning'] |
| concepts[field].local:field:computer-science-ai | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license_text | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |