Data · dataset · 2026
Classification of subarctic woodland landscapes from historical and recent aerial photos to guide landscape management and ecological restoration
Listed in Teesside University Research Data Repository
These datasets support the publication "Classification of subarctic woodland landscapes from historical and recent aerial photos to guide landscape management and ecological restoration".
Description
The raw data (aerial photos and Digital Elevation Model) are third-party materials from National Land Survey of Iceland (NLSI) and Loftmyndir ehf. OVERVIEW OF DATASETS - Woodland_increase2.csv -> Main dataset of woodland area increases, grazing protection (binary) and environmental parameters. - ..._NR.csv -> Individual Nightingale Rose diagram-datasets for each of the nine study areas - ..._masl-csv -> Individual elevational-datasets for each of the nine study areas - ..._slope.csv -> Individual slope-datasets for each of the nine study areas ABBREVIATIONS - BSS -> Bæjarstaðarskógur - HF -> Húsafell - LEY -> Leyningshólar - MF - Mjóifjörður - ND -> Neðri Dalur - OX -> Öxarfjörður - RS -> Ranaskógur - SD -> Steinadalur - TM -> Thórsmörk
Links
Where it is published
- DOI doi.org/10.17632/4hw4ggnhgb.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
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/4hw4ggnhgb.1 | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].anzsrc:field:401304 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Remote Sensing'] |
| concepts[field].anzsrc:group:3103 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Ecology'] |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[modality].local:modality:remote-sensing | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Remote Sensing'] |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| 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 |