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Mikko Kukkonen
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Multispectral airborne LiDAR data in the prediction of boreal tree species composition
M Kukkonen, M Maltamo, L Korhonen, P Packalen
IEEE transactions on geoscience and remote sensing 57 (6), 3462-3471, 2019
582019
Forest inventories for small areas using drone imagery without in-situ field measurements
E Kotivuori, M Kukkonen, L Mehtätalo, M Maltamo, L Korhonen, ...
Remote sensing of environment 237, 111404, 2020
442020
Assessing the performance of aerial image point cloud and spectral metrics in predicting boreal forest canopy cover
M Melin, L Korhonen, M Kukkonen, P Packalen
ISPRS Journal of Photogrammetry and Remote Sensing 129, 77-85, 2017
392017
Comparison of multispectral airborne laser scanning and stereo matching of aerial images as a single sensor solution to forest inventories by tree species
M Kukkonen, M Maltamo, L Korhonen, P Packalen
Remote sensing of environment 231, 111208, 2019
382019
Image matching as a data source for forest inventory–comparison of Semi-Global Matching and Next-Generation Automatic Terrain Extraction algorithms in a typical managed boreal …
M Kukkonen, M Maltamo, P Packalen
International journal of applied earth observation and geoinformation 60, 11-21, 2017
232017
Fusion of crown and trunk detections from airborne UAS based laser scanning for small area forest inventories
M Kukkonen, M Maltamo, L Korhonen, P Packalen
International Journal of Applied Earth Observation and Geoinformation 100 …, 2021
152021
A method for vertical adjustment of digital aerial photogrammetry data by using a high-quality digital terrain model
D Ali-Sisto, R Gopalakrishnan, M Kukkonen, P Savolainen, P Packalen
International Journal of Applied Earth Observation and Geoinformation 84, 101954, 2020
132020
Prediction of forest canopy fuel parameters in managed boreal forests using multispectral and unispectral airborne laser scanning data and aerial images
M Maltamo, J Räty, L Korhonen, E Kotivuori, M Kukkonen, H Peltola, ...
European Journal of Remote Sensing 53 (1), 245-257, 2020
122020
Utility of image point cloud data towards generating enhanced multitemporal multisensor land cover maps
R Gopalakrishnan, A Seppänen, M Kukkonen, P Packalen
International Journal of Applied Earth Observation and Geoinformation 86, 102012, 2020
72020
Detection of standing retention trees in boreal forests with airborne laser scanning point clouds and multispectral imagery
AA Hardenbol, L Korhonen, M Kukkonen, M Maltamo
Methods in Ecology and Evolution 14 (7), 1610-1622, 2023
52023
Transferability of ALS-based forest attribute models when predicting with drone-based image point cloud data
J Toivonen, L Korhonen, M Kukkonen, E Kotivuori, M Maltamo, ...
International Journal of Applied Earth Observation and Geoinformation 103 …, 2021
42021
Evaluation of UAS LiDAR data for tree segmentation and diameter estimation in boreal forests using trunk-and crown-based methods
M Kukkonen, M Maltamo, L Korhonen, P Packalen
Canadian Journal of Forest Research 52 (5), 674-684, 2022
32022
Volumes by tree species can be predicted using photogrammetric UAS data, Sentinel-2 images and prior field measurements
M Kukkonen, E Kotivuori, M Maltamo, L Korhonen, P Packalen
Silva Fennica 55 (1), 2021
22021
Using ALS data to improve co-registration of photogrammetry-based point cloud data in urban areas
R Gopalakrishnan, D Ali-Sisto, M Kukkonen, P Savolainen, P Packalen
Remote Sensing 12 (12), 1943, 2020
22020
Single sensor airborne data sources for forest inventories by tree species.
M Kukkonen
12020
Mapping large European aspen (Populus tremula L.) in Finland using airborne lidar and image data
J Toivonen, A Kangas, M Maltamo, M Kukkonen, P Packalen
Canadian Journal of Forest Research, 2024
2024
Combination of lidar intensity and texture features enable accurate prediction of common boreal tree species with single sensor UAS data
M Kukkonen, T Lähivaara, P Packalen
IEEE Transactions on Geoscience and Remote Sensing, 2023
2023
Assessing biodiversity using forest structure indicators based on airborne laser scanning data
J Toivonen, A Kangas, M Maltamo, M Kukkonen, P Packalen
Forest Ecology and Management 546, 121376, 2023
2023
Observations and Geoinformation
J Toivonen, L Korhonen, M Kukkonen, E Kotivuori, M Maltamo, ...
International Journal of Applied Earth Observation and Geoinformation 103 …, 2021
2021
Puulajeittaisen tilavuuden ennustaminen drooni-aineistolla hyödyntäen aikaisemmin kerättyjä aineistoja ja siirrettyä tilavuusmallia
M Kukkonen, E Kotivuori, M Maltamo, L Korhonen, P Packalen
2021
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