Juha Hyyppä

Environmental Engineering · 2001–2020

A researcher in the Science corpus: 24 papers; trusts 14 researchers and is trusted by 41 researchers here, as inferred from the citation graph.

Subfields

• Environmental Engineering — 139 citations into it; #261 of 5,479 by trust here, #129 by citations
• Nature and Landscape Conservation — 121 citations into it; #475 of 6,941 by trust here, #837 by citations
• Insect Science — 80 citations into it; #91 of 2,259 by trust here, #96 by citations
• Ecology — 26 citations into it; #4,155 of 10,717 by trust here, #3,477 by citations
• Global and Planetary Change — 26 citations into it
• Mechanical Engineering — 15 citations into it

Whom Juha Hyyppä trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Erik Næsset
2. Tomas Brandtberg
3. Johan Holmgren
4. J. Kalliovirta
5. J. Repola
6. Matti Maltamo
7. Xiaowei Yu
8. J. Reitberger
9. Mikko Vastaranta
10. Jari Vauhkonen

Who trusts Juha Hyyppä overall

1. Johan Holmgren
2. Jari Vauhkonen
3. Eva Lindberg
4. M. Sumnall
5. J. Kalliovirta
6. Fumiki Hosoi
7. Tomoaki Takahashi
8. Zhen Zhen
9. Shijun Tang
10. Xiaowei Yu

Papers from Juha Hyyppä's perspective

Ordered by how strongly the researchers Juha Hyyppä trusts endorse each paper. Same corpus, a different order for every researcher.

1. Automatic forest inventory parameter determination from terrestrial laser scanner data
2. Practical large-scale forest stand inventory using a small-footprint airborne scanning laser
3. Estimation of tree lists from airborne laser scanning by combining single-tree and area-based methods
4. Three-dimensional reconstruction of stems for assessment of taper, sweep and lean based on laser scanning of standing trees
5. Evaluation of random forest and adaboost tree-based ensemble classification and spectral band selection for ecotope mapping using airborne hyperspectral imagery
6. Comparison of percentile based prediction methods and the Weibull distribution in describing the diameter distribution of heterogeneous Scots pine stands
7. Evaluation of the Laser-relascope
8. Stem biomass estimation based on stem reconstruction from terrestrial laser scanning point clouds
9. An International Comparison of Individual Tree Detection and Extraction Using Airborne Laser Scanning (Remote Sensing)
10. A progressive morphological filter for removing nonground measurements from airborne LIDAR data (IEEE Transactions on Geoscience and Remote Sensing)

Their papers

• Registration of large-scale terrestrial laser scanner point clouds: A review and benchmark (2020) — 383 citations
• Accurate derivation of stem curve and volume using backpack mobile laser scanning (2020) — 149 citations
• In situ biomass estimation at tree and plot levels: What did data record and what did algorithms derive from terrestrial and aerial point clouds in boreal forest (2019) — 99 citations
• International benchmarking of terrestrial laser scanning approaches for forest inventories (2018) — 425 citations
• Individual Tree Detection and Classification with UAV-Based Photogrammetric Point Clouds and Hyperspectral Imaging (2017) — 404 citations
• Assessing Precision in Conventional Field Measurements of Individual Tree Attributes (2017) — 133 citations
• ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (2016) — 495 citations
• Remote sensing methods for power line corridor surveys (2016) — 377 citations
• SLAM-Aided Stem Mapping for Forest Inventory with Small-Footprint Mobile LiDAR (2015) — 101 citations
• Assessment of Low Density Full-Waveform Airborne Laser Scanning for Individual Tree Detection and Tree Species Classification (2014) — 53 citations
• Outlook for the Next Generation’s Precision Forestry in Finland (2014) — 180 citations
• Performance of dense digital surface models based on image matching in the estimation of plot-level forest variables (2013) — 132 citations
• Stem biomass estimation based on stem reconstruction from terrestrial laser scanning point clouds (2013) — 86 citations
• Combination of individual tree detection and area-based approach in imputation of forest variables using airborne laser data (2012) — 108 citations
• An International Comparison of Individual Tree Detection and Extraction Using Airborne Laser Scanning (2012) — 499 citations
• Automatic Stem Mapping Using Single-Scan Terrestrial Laser Scanning (2012) — 305 citations
• Predicting individual tree attributes from airborne laser point clouds based on the random forests technique (2011) — 379 citations
• Mini-UAV-Borne LIDAR for Fine-Scale Mapping (2011) — 331 citations
• Range and AGC normalization in airborne discrete-return LiDAR intensity data for forest canopies (2010) — 127 citations
• A low-cost multi-sensoral mobile mapping system and its feasibility for tree measurements (2010) — 344 citations