Ilkka Pölönen
Environmental Engineering · 2013–2017
A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Environmental Engineering — 20 citations into it
- Nature and Landscape Conservation — 7 citations into it
Whom Ilkka Pölönen trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- S. Kotsiantis (in Evaluation & Benchmarks)
- Erik Næsset (in Environmental Engineering)
Papers from Ilkka Pölönen's perspective
Ordered by how strongly the researchers Ilkka Pölönen trusts endorse each paper. Same corpus, a different order for every researcher.
- Thermal and Narrowband Multispectral Remote Sensing for Vegetation Monitoring From an Unmanned Aerial Vehicle (IEEE Transactions on Geoscience and Remote Sensing)
- Processing and Assessment of Spectrometric, Stereoscopic Imagery Collected Using a Lightweight UAV Spectral Camera for Precision Agriculture (Remote Sensing)
- Using UAV-Based Photogrammetry and Hyperspectral Imaging for Mapping Bark Beetle Damage at Tree-Level (Remote Sensing)
- Assessment of Low Density Full-Waveform Airborne Laser Scanning for Individual Tree Detection and Tree Species Classification
- Genetic Algorithms in Search Optimization and Machine Learning
- Forestry applications of UAVs in Europe: a review
- Tree crown delineation and tree species classification in boreal forests using hyperspectral and ALS data
- A low-cost multi-sensoral mobile mapping system and its feasibility for tree measurements
- An International Comparison of Individual Tree Detection and Extraction Using Airborne Laser Scanning (Remote Sensing)
- Inventory of Small Forest Areas Using an Unmanned Aerial System (Remote Sensing)
Their papers
- Individual Tree Detection and Classification with UAV-Based Photogrammetric Point Clouds and Hyperspectral Imaging (2017) — 404 citations
- Processing and Assessment of Spectrometric, Stereoscopic Imagery Collected Using a Lightweight UAV Spectral Camera for Precision Agriculture (2013) — 491 citations