Launch week offerEnds in00h00m00s

annual Promonthly Pro

Eva Lindberg

Has grant

Swedish University of Agricultural Sciences

Sweden

Research Interests

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Explore related searches

Professors in Sweden Professors in Ecology Ecology professors in Sweden

Recent Grants

Grant: Open

Landscape Breeding: A new paradigm in forest tree management

Open Date: 2022-01-01

Close Date: 2026-12-01

Grant: Close

In conflict or conformity? The role of forest conservation in bark-beetle outbreak dynamics

Open Date: 2022-01-01

Close Date: 2025-12-31

Grant: Close

Biodiversity indicators from laser data

Open Date: 2020-09-01

Close Date: 2023-08-01

Grant: Close

Nya skogskartor med trädslagsinformation från tidsserier av satellitdata

Open Date: 2019-01-01

Close Date: 2021-12-01

Grant: Close

Trädslagsklassificering från fjärranalys - nästa generation skogskartor för ekologi och skötsel

Open Date: 2019-01-01

Close Date: 2021-12-31

Articles (11)

Year:

2026

Year:

2026

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Collaborators (4)

Hans Ole Ørka

Associate professor

Norwegian University of Life Sciences (NMBU)

NORWAY

View details

Langning Huo

Associate Professor

Swedish University of Agricultural Sciences

SWEDEN

View details

Henrik J. Persson

Associate Professor, Researcher

Sveriges Lantbruksuniversitet

SWEDEN

View details

Svetlana Saarela

Researcher

Norwegian University of Life Sciences

NORWAY

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Eva Lindberg

Research Interests

Make your next move.

Explore related searches

Recent Grants

Articles (11)

Linking hyperspectral remote sensing and tree hydraulic functioning for pre-emergence detection of bark beetle infestations

Integrating green-shoulder indices from hyperspectral drone imagery and sap flow monitoring to assess water dynamics in healthy and bark beetle-infested trees

Boreal tree species classification using airborne laser scanning data annotated with harvester production reports, and convolutional neural networks

Hyperspectral drone images indicate that green shoulder indices are robust in pre-emergence detection of spruce bark beetle infestation across spatial and temporal scales

Why ecosystem characteristics predicted from remotely sensed data are unbiased and biased at the same time – and how this affects applications

Large-scale wall-to-wall mapping of bark beetle damage and forest practices using the distance red swir index and operational harvester data

Computation of prediction intervals for forest aboveground biomass predictions using generalized linear models in a large-extent boreal forest region

Analyzing the environmental risk factors of European spruce bark beetle damage at the local scale

Mobile laser scanning as reference for estimation of stem attributes from airborne laser scanning

The use of dual-wavelength airborne laser scanning for estimating tree species composition and species-specific stem volumes in a boreal forest

Different triggers, different stories: Bark-beetle infestation patterns after storm and drought-induced outbreaks

Collaborators (4)

Hans Ole Ørka

Langning Huo

Henrik J. Persson

Svetlana Saarela

Make your next move.