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Predicting bilberry yields using ALS and other auxiliary data combined with NFI field plots

Peer-reviewed
Open access
DOI
10.34726/wim.1863
Bohlin, Inka; Maltamo, Matti; Hedenås, Hendrik; Lämås, Tomas; Dahlgren, Jonas; Mehtätalo, Lauri
Geowissenschaftliche Mitteilungen2021

Improving living biomass C-stock loss estimates by combining optical satellite, airborne laser scanning, and NFI data

Peer-reviewed
DOI
10.1139/cjfr-2020-0518
Breidenbach, Johannes; Ivanovs, Janis; Kangas, Annika; Nord-Larsen, Thomas; Nilsson, Mats; Astrup, R...
Canadian journal of forest research2021

Enhancing the Irish NFI using k-nearest neighbors and a genetic algorithm

Peer-reviewed
Open access
DOI
10.1139/cjfr-2018-0011
McInerney, Daniel; Barrett, Frank; McRoberts, Ronald E.; Tomppo, Erkki
Canadian journal of forest research-revue canadienne de recherche forestiere2018

Proposal for Cambodia National Forest Inventory (NFI) sampling design

Korhonen, Kari T., Vesa, Lauri & Pitkänen, Juho
Metsäntutkimuslaitos2014

Estimating forest carbon fluxes for large regions based on process-based modelling, NFI data and Landsat satellite images

Peer-reviewed
DOI
10.1016/j.foreco.2011.08.035
Harkonen, S.; Lehtonen, A.; Eerikainen, K.; Peltoniemi, M.; Mäkelä, A.
Forest Ecology and Management2011

NFI plots as complementary reference data in forest inventory based on airborne laser scanning and aerial photography in Finland

Peer-reviewed
Open access
DOI
10.14214/sf.983
Tuominen S., Pitkänen J., Balazs A., Korhonen K.T., Hyvönen P., Muinonen E.
SILVA FENNICA2014

A Markov Chain Model for Simulating Wood Supply from Any-Aged Forest Management Based on National Forest Inventory (NFI) Data

Peer-reviewed
Open access
DOI
10.3390/f8090307
Vauhkonen, Jari;Packalen, Tuula
Forests2017

Data-driven Begins with DATA; Potential of Data Assets

Peer-reviewed
Open access
DOI
10.1080/08874417.2019.1683782
Hannila, Hannu; Silvola, Risto; Härkönen, Janne; Haapasalo, Harri
Journal of computer information systems2019

Efficiency of post-stratification for a large-scale forest inventory—case Finnish NFI

Peer-reviewed
Open access
DOI
10.1007/s13595-018-0795-6
Haakana, Helena;Heikkinen, Juha;Katila, Matti;Kangas, Annika
Annals of Forest Science2019

Implementing big data lake for heterogeneous data sources

Peer-reviewed
Open access
DOI
10.1109/ICDEW.2019.00-37
Mehmood, Hassan; Gilman, Ekaterina; Cortes, Marta; Kostakos, Panos; Byrne, Andrew; Valta, Katerina; ...
IEEE International Conference on Data Engineering workshop2019

Predicting bilberry yields using ALS and other auxiliary data combined with NFI field plots

Peer-reviewed
Open access
DOI
10.34726/wim.1863
2021

Improving living biomass C-stock loss estimates by combining optical satellite, airborne laser scanning, and NFI data

Peer-reviewed
DOI
10.1139/cjfr-2020-0518
2021

Enhancing the Irish NFI using k-nearest neighbors and a genetic algorithm

Peer-reviewed
Open access
DOI
10.1139/cjfr-2018-0011
2018

Proposal for Cambodia National Forest Inventory (NFI) sampling design

2014

Estimating forest carbon fluxes for large regions based on process-based modelling, NFI data and Landsat satellite images

Peer-reviewed
DOI
10.1016/j.foreco.2011.08.035
2011

NFI plots as complementary reference data in forest inventory based on airborne laser scanning and aerial photography in Finland

Peer-reviewed
Open access
DOI
10.14214/sf.983
2014

A Markov Chain Model for Simulating Wood Supply from Any-Aged Forest Management Based on National Forest Inventory (NFI) Data

Peer-reviewed
Open access
DOI
10.3390/f8090307
2017

Data-driven Begins with DATA; Potential of Data Assets

Peer-reviewed
Open access
DOI
10.1080/08874417.2019.1683782
2019

Efficiency of post-stratification for a large-scale forest inventory—case Finnish NFI

Peer-reviewed
Open access
DOI
10.1007/s13595-018-0795-6
2019

Implementing big data lake for heterogeneous data sources

Peer-reviewed
Open access
DOI
10.1109/ICDEW.2019.00-37
2019