Mikko Kukkonen

According to our database, Mikko Kukkonen authored at least 7 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2024

Combination of Lidar Intensity and Texture Features Enable Accurate Prediction of Common Boreal Tree Species With Single Sensor UAS Data.

Mikko Kukkonen, Timo Lähivaara, Petteri Packalen

IEEE Trans. Geosci. Remote. Sens., 2024

2021

Transferability of ALS-based forest attribute models when predicting with drone-based image point cloud data.

Janne Toivonen, Lauri Korhonen, Mikko Kukkonen, Eetu Kotivuori, Matti Maltamo, Petteri Packalen

Int. J. Appl. Earth Obs. Geoinformation, 2021

Fusion of crown and trunk detections from airborne UAS based laser scanning for small area forest inventories.

Mikko Kukkonen, Matti Maltamo, Lauri Korhonen, Petteri Packalen

Int. J. Appl. Earth Obs. Geoinformation, 2021

2020

Using ALS Data to Improve Co-Registration of Photogrammetry-Based Point Cloud Data in Urban Areas.

Ranjith Gopalakrishnan, Daniela Ali-Sisto, Mikko Kukkonen, Pekka Savolainen, Petteri Packalen

Remote. Sens., 2020

Utility of image point cloud data towards generating enhanced multitemporal multisensor land cover maps.

Ranjith Gopalakrishnan, Aku Seppänen, Mikko Kukkonen, Petteri Packalen

Int. J. Appl. Earth Obs. Geoinformation, 2020

A method for vertical adjustment of digital aerial photogrammetry data by using a high-quality digital terrain model.

Daniela Ali-Sisto, Ranjith Gopalakrishnan, Mikko Kukkonen, Pekka Savolainen, Petteri Packalen

Int. J. Appl. Earth Obs. Geoinformation, 2020

2019

Multispectral Airborne LiDAR Data in the Prediction of Boreal Tree Species Composition.

Mikko Kukkonen, Matti Maltamo, Lauri Korhonen, Petteri Packalen

IEEE Trans. Geosci. Remote. Sens., 2019