UAV and field hyperspectral imaging for Sphagnum discrimination and vegetation modelling in Finnish aapa mires.
Int. J. Appl. Earth Obs. Geoinformation, 2024
Comparing multispectral and hyperspectral UAV data for detecting peatland vegetation patterns.
Int. J. Appl. Earth Obs. Geoinformation, 2024
Unmanned Aircraft System (UAS) Structure-From-Motion (SfM) for Monitoring the Changed Flow Paths and Wetness in Minerotrophic Peatland Restoration.
Remote. Sens., 2022
Detection of European Aspen (Populus tremula L.) Based on an Unmanned Aerial Vehicle Approach in Boreal Forests.
Remote. Sens., 2021
Detecting European Aspen (Populus tremula L.) in Boreal Forests Using Airborne Hyperspectral and Airborne Laser Scanning Data.
Remote. Sens., 2020
Correction: Rana, P., <i>et al</i>. Training Area Concept in a Two-Phase Biomass Inventory Using Airborne Laser Scanning and RapidEye Satellite Data. <i>Remote Sens</i>, 2014, 6, 285-309.
Remote. Sens., 2015
Training Area Concept in a Two-Phase Biomass Inventory Using Airborne Laser Scanning and RapidEye Satellite Data.
Remote. Sens., 2014
Detecting land cover disturbances in the Lappi reindeer herding district using multi-source remote sensing and GIS data.
Int. J. Appl. Earth Obs. Geoinformation, 2014
Dynamics of a Coupled System: Multi-Resolution Remote Sensing in Assessing Social-Ecological Responses during 25 Years of Gas Field Development in Arctic Russia.
Remote. Sens., 2012