| 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 | 62 | 2019 |
| 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 | 49 | 2020 |
| 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 | 41 | 2017 |
| 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 | 40 | 2019 |
| 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 | 24 | 2017 |
| 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 | 18 | 2021 |
| 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 | 16 | 2020 |
| 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 | 15 | 2020 |
| 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 | 10 | 2023 |
| 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 | 8 | 2020 |
| 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 | 7 | 2023 |
| 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 | 6 | 2022 |
| 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 | 6 | 2021 |
| 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 | 6 | 2021 |
| 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 | 4 | 2020 |
| 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 | 1 | 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 | 1 | 2023 |
| Single sensor airborne data sources for forest inventories by tree species. M Kukkonen | 1 | 2020 |
| Band configurations and seasonality influence the predictions of common boreal tree species using UAS image data M Kukkonen, M Myllymäki, J Räty, P Varvia, M Maltamo, L Korhonen, ... Annals of Forest Science 81 (1), 31, 2024 | | 2024 |
| Estimating the timber value of a forest property using geographically balanced samples and unoccupied aerial vehicle data J Räty, J Heikkinen, M Kukkonen, L Mehtätalo, A Kangas, P Packalen Forestry: An International Journal of Forest Research, cpae014, 2024 | | 2024 |
