Artur Gil
researcher
Facts
8 properties- Instance of
- human
- Occupation
- researcher
- Employer
- University of the Azores (2020–2022), University of the Azores (2022–present)[2][3]
- Imported from
- wholeness_audit_2026-05-02
- Maintained by WikiProject
- WikiProject Invasion Biology[7]
🏷️ Also known as
en Artur Gil
🔖 Identifiers · 10
- ORCID iD
- 0000-0003-4450-8167
- OpenAlex ID
- A5024307933, A5006222754as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
- CIÊNCIAVITAE ID
- 6E1A-0689-D573
- Google Knowledge Graph ID
- /g/11f0ynb6bc
- Google Scholar author ID
- _qw38R4AAAAJ
- LinkedIn personal profile ID
- artur-gil
- Loop ID
- 1048087
- ResearchGate profile ID
- Artur_Gil
- ResearcherID
- I-7520-2012
- Scopus author ID
- 37064609200
📚 Sources · 1
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 5
Assessing the effectiveness of RapidEye multispectral imagery for vegetation mapping in Madeira Island (Portugal),
Digitizing a sustainable future,
Estimating tree canopy cover percentage in a mediterranean silvopastoral systems using Sentinel-2A imagery and the stochastic gradient boosting algorithm,
Using a stochastic gradient boosting algorithm to analyse the effectiveness of Landsat 8 data for montado land cover mapping: Application in southern Portugal,
Using low‐cost drones to monitor heterogeneous submerged seaweed habitats: A case study in the Azores
← Authored by 5
Assessing the effectiveness of RapidEye multispectral imagery for vegetation mapping in Madeira Island (Portugal),
Digitizing a sustainable future,
Estimating tree canopy cover percentage in a mediterranean silvopastoral systems using Sentinel-2A imagery and the stochastic gradient boosting algorithm,
Using a stochastic gradient boosting algorithm to analyse the effectiveness of Landsat 8 data for montado land cover mapping: Application in southern Portugal,
Using low‐cost drones to monitor heterogeneous submerged seaweed habitats: A case study in the Azores
Affiliated with 2
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