Haku
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Hyperspectral UAV-imagery and photogrammetric canopy height model in estimating forest stand variables
(The Finnish Society of Forest Science, 2017)
Remote sensing using unmanned aerial vehicle (UAV) -borne sensors is currently a highly interesting approach for the estimation of forest characteristics. 3D remote sensing data from airborne laser scanning or digital ...
Improving Finnish Multi-Source National Forest Inventory by 3D aerial imaging
(Suomen Metsätieteellinen Seura, 2017)
Optical 2D remote sensing techniques such as aerial photographing and satellite imaging have been used in forest inventory for a long time. During the last 15 years, airborne laser scanning (ALS) has been adopted in many ...
Reliability of the predicted stand structure for clear-cut stands using optional methods: airborne laser scanning-based methods, smartphone-based forest inventory application Trestima and pre-harvest measurement tool EMO
(The Finnish Society of Forest ScienceNatural Resources Institute Finland, 2016)
Unmanned aerial system imagery and photogrammetric canopy height data in area-based estimation of forest variables
(The Finnish Society of Forest ScienceNatural Resources Institute Finland, 2015)
Incorporating tree- and stand-level information on crown base height into multivariate forest management inventories based on airborne laser scanning
(The Finnish Society of Forest Science, 2018)
Landsat archive holdings for Finland: opportunities for forest monitoring
(Suomen Metsätieteellinen Seura, 2018)