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Employment (4)

Swedish University of Agricultural Sciences: Umeå, SE

2019-05 to present | researcher and analyst (Department of forest resource management)
Employment
Source: Self-asserted source
Inka Bohlin

Swedish University of Agricultural Sciences (SLU): Umeå, SE

2016-04 to 2019-04 | Postdoc
Employment
Source: Self-asserted source
Inka Bohlin

Swedish University of Agricultural Sciences (SLU): Umeå, SE

2015-09 to 2016-05 | Research engineer
Employment
Source: Self-asserted source
Inka Bohlin

University of Eastern Finland: Joensuu, FI

2011-01 to 2015-06 | Younger researcher/Phd student
Employment
Source: Self-asserted source
Inka Bohlin

Works (13)

Lessons learned from assessing the cover and yield of bilberry and lingonberry using the national forest inventories in Finland and Sweden

Silva Fennica
2021 | Journal article
Part of ISSN: 2242-4075
Contributors: Jari Miina; Inka Bohlin; Torgny Lind; Jonas Dahlgren; Kari Härkönen; Tuula Packalen; Anne Tolvanen
Source: Self-asserted source
Inka Bohlin

Predicting bilberry and cowberry yields using airborne laser scanning and other auxiliary data combined with National Forest Inventory field plot data

Forest Ecology and Management
2021-12 | Journal article
Part of ISSN: 0378-1127
Contributors: Inka Bohlin; Matti Maltamo; Henrik Hedenås; Tomas Lämås; Jonas Dahlgren; Lauri Mehtätalo
Source: Self-asserted source
Inka Bohlin

Updating of forest stand data by using recent digital photogrammetry in combination with older airborne laser scanning data

Scandinavian Journal of Forest Research
2021-07-04 | Journal article
Contributors: Nils Lindgren; André Wästlund; Inka Bohlin; Kenneth Nyström; Mats Nilsson; Håkan Olsson
Source: check_circle
Crossref

Usability of citizen science observations together with airborne laser scanning data in determining the habitat preferences of forest birds

Forest Ecology and Management
2018 | Journal article
EID:

2-s2.0-85052460140

Contributors: Mononen, L.; Auvinen, A.-P.; Packalen, P.; Virkkala, R.; Valbuena, R.; Bohlin, I.; Valkama, J.; Vihervaara, P.
Source: Self-asserted source
Inka Bohlin via Scopus - Elsevier

Mapping forest attributes using data from stereophotogrammetry of aerial images and field data from the national forest inventory

Silva Fennica
2017 | Journal article
EID:

2-s2.0-85019048743

Contributors: Bohlin, J.; Bohlin, I.; Jonzén, J.; Nilsson, M.
Source: Self-asserted source
Inka Bohlin via Scopus - Elsevier

Quantifying post-fire fallen trees using multi-temporal lidar

International Journal of Applied Earth Observation and Geoinformation
2017 | Journal article
EID:

2-s2.0-85032466106

Contributors: Bohlin, I.; Olsson, H.; Bohlin, J.; Granström, A.
Source: Self-asserted source
Inka Bohlin via Scopus - Elsevier

Classification of forest land attributes using multi-source remotely sensed data

International Journal of Applied Earth Observation and Geoinformation
2016-02 | Journal article
Contributors: Inka Pippuri; Aki Suvanto; Matti Maltamo; Kari T. Korhonen; Juho Pitkänen; Petteri Packalen
Source: Self-asserted source
Inka Bohlin via Crossref Metadata Search

Airborne laser scanning based forest inventory for forest management by applying novel metrics and multiple data sources

Dissertationes Forestales
2015 | Journal article
Contributors: Inka Pippuri
Source: Self-asserted source
Inka Bohlin via Crossref Metadata Search

How to integrate remotely sensed data and biodiversity for ecosystem assessments at landscape scale

Landscape Ecology
2014 | Journal article
Contributors: Petteri Vihervaara; Laura Mononen; Ari-Pekka Auvinen; Raimo Virkkala; Yihe Lü; Inka Pippuri; Petteri Packalen; Ruben Valbuena; Jari Valkama
Source: Self-asserted source
Inka Bohlin via Crossref Metadata Search

Detection of the need for seedling stand tending using high-resolution remote sensing data

Silva Fennica
2013 | Journal article
Contributors: Lauri Korhonen; Inka Pippuri; Petteri Packalén; Ville Heikkinen; Matti Maltamo; Juho Heikkilä
Source: Self-asserted source
Inka Bohlin via Crossref Metadata Search

Predicting species-specific basal areas in urban forests using airborne laser scanning and existing stand register data

European Journal of Forest Research
2013-09 | Journal article
Contributors: Inka Pippuri; Matti Maltamo; Petteri Packalen; Juha Mäkitalo
Source: Self-asserted source
Inka Bohlin via Crossref Metadata Search

Predicting the spatial pattern of trees by airborne laser scanning

International Journal of Remote Sensing
2013-07 | Journal article
Contributors: Petteri Packalen; Jari Vauhkonen; Eveliina Kallio; Jussi Peuhkurinen; Juho Pitkänen; Inka Pippuri; Jacob Strunk; Matti Maltamo
Source: Self-asserted source
Inka Bohlin via Crossref Metadata Search

Exploring horizontal area-based metrics to discriminate the spatial pattern of trees and need for first thinning using airborne laser scanning

Forestry
2012-02 | Journal article
Contributors: I. Pippuri; E. Kallio; M. Maltamo; H. Peltola; P. Packalen
Source: Self-asserted source
Inka Bohlin via Crossref Metadata Search