Daniel Schraik

Visitor
Visitor
T213 Built Environment
Full researcher profile
https://research.aalto.fi/...

Contact information

Phone number
+358456434343

Research groups

  • Geoinformatics, Visitor (Faculty)

Publications

Synergistic use of multi- and hyperspectral remote sensing data and airborne LiDAR to retrieve forest floor reflectance

Aarne Hovi, Daniel Schraik, Nea Kuusinen, Tomáš Fabiánek, Jan Hanuš, Lucie Homolová, Jussi Juola, Petr Lukeš, Miina Rautiainen 2023 Remote Sensing of Environment

Quantifying stand-level clumping of boreal, hemiboreal and temperate European forest stands using terrestrial laser scanning

Daniel Schraik, Di Wang, Aarne Hovi, Miina Rautiainen 2023 Agricultural and Forest Meteorology

Assessment of a photon recollision probability based forest reflectance model in European boreal and temperate forests

Aarne Hovi, Daniel Schraik, Jan Hanuš, Lucie Homolová, Jussi Juola, Mait Lang, Petr Lukeš, Jan Pisek, Miina Rautiainen 2022 Remote Sensing of Environment

Avoimia spektrikirjastoja Suomen metsistä

Miina Rautiainen, Aarne Hovi, Nea Kuusinen, Jussi Juola, Petri Forsström, Sini-Selina Salko, Daniel Schraik, Iuliia Burdun 2022 Metsätieteen Aikakauskirja

Maastolaserkeilaimen intensiteettiarvot tarkentavat metsän latvuston rakennepiirteiden arviointia

Aarne Hovi, Daniel Schraik, Miina Rautiainen 2021 Metsätieteen Aikakauskirja

A method to estimate silhouette to total area ratio (STAR) from TLS point clouds

Daniel Schraik, Aarne Hovi, Miina Rautiainen 2021 Proceedings of the SilviLaser Conference 2021

Crown level clumping in Norway spruce from terrestrial laser scanning measurements

Daniel Schraik, Aarne Hovi, Miina Rautiainen 2021 Agricultural and Forest Meteorology

Estimating cover fraction from tls return intensity in coniferous and broadleaved tree shoots

Daniel Schraik, Aarne Hovi, Miina Rautiainen 2021 Silva Fennica

Direct estimation of photon recollision probability using terrestrial laser scanning

Di Wang, Daniel Schraik, Aarne Hovi, Miina Rautiainen 2020 Remote Sensing of Environment