Johan E.S. Fransson

Johan E.S. Fransson

Sveriges lantbruksuniversitet

H-index: 32

Europe-Sweden

About Johan E.S. Fransson

Johan E.S. Fransson, With an exceptional h-index of 32 and a recent h-index of 21 (since 2020), a distinguished researcher at Sveriges lantbruksuniversitet, specializes in the field of forest, remote sensing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Drought response of the boreal forest carbon sink is driven by understorey–tree composition

Modelling forest road trafficability with satellite-based soil moisture variables

Object Identification in Land Parcels Using a Machine Learning Approach

Tower-based radar observations of sub-daily water dynamics in boreal forests

ForestMap: The next generation of forest maps-adapting a Nordic success story

Linking High-Resolution UAV-Based Remote Sensing Data to Long-Term Vegetation Sampling—A Novel Workflow to Study Slow Ecotone Dynamics

ForestMap: Mapping Forest Attributes Across the Globe-First Case Study

Landscape‐variability of the carbon balance across managed boreal forests

Johan E.S. Fransson Information

University

Position

___

Citations(all)

3995

Citations(since 2020)

1414

Cited By

3207

hIndex(all)

32

hIndex(since 2020)

21

i10Index(all)

71

i10Index(since 2020)

38

Email

University Profile Page

Sveriges lantbruksuniversitet

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Johan E.S. Fransson Skills & Research Interests

forest

remote sensing

Top articles of Johan E.S. Fransson

Title

Journal

Author(s)

Publication Date

Drought response of the boreal forest carbon sink is driven by understorey–tree composition

Nature Geoscience

Eduardo Martínez-García

Mats B Nilsson

Hjalmar Laudon

Tomas Lundmark

Johan ES Fransson

...

2024/2/13

Modelling forest road trafficability with satellite-based soil moisture variables

International Journal of Forest Engineering

Dag Fjeld

Magnus Persson

Johan ES Fransson

Jan Bjerketvedt

Martin Bråthen

2024/1/2

Object Identification in Land Parcels Using a Machine Learning Approach

Remote Sensing

Niels Gundermann

Welf Löwe

Johan ES Fransson

Erika Olofsson

Andreas Wehrenpfennig

2024/3/25

Tower-based radar observations of sub-daily water dynamics in boreal forests

Johan ES Fransson

Albert R Monteith

Henrik J Persson

Lars MH Ulander

2024/3/7

ForestMap: The next generation of forest maps-adapting a Nordic success story

Johan ES Fransson

Shafiullah Soomro

Anton Holmström

Mats Nilsson

Jari Salo

...

2024/3/7

Linking High-Resolution UAV-Based Remote Sensing Data to Long-Term Vegetation Sampling—A Novel Workflow to Study Slow Ecotone Dynamics

Remote Sensing

Fabian Döweler

Johan ES Fransson

Martin K-F Bader

2024/2/28

ForestMap: Mapping Forest Attributes Across the Globe-First Case Study

Johan. E.S. Fransson

Elif Sertel

Cem Unsalan

Jari Salo

Anton Holmström

...

2023/7

Landscape‐variability of the carbon balance across managed boreal forests

Global Change Biology

Matthias Peichl

Eduardo Martínez‐García

Johan ES Fransson

Jörgen Wallerman

Hjalmar Laudon

...

2023/2

Development and Initial Evaluation of the Tower-based Borealscat-2 P-and L-Band Tomographic SAR

Lars MH Ulander

Albert R Monteith

Johan ES Fransson

2023/7/16

Prediction of Hemi-Boreal Forest Biomass Change Using Alos-2 Palsar-2 L-Band SAR Backscatter

Ivan Huuva

Henrik J Persson

Jörgen Wallerman

Lars MH Ulander

Johan ES Fransson

2023/7/16

Prediction of Site Index and Age Using Time Series of TanDEM-X Phase Heights

Remote Sensing

Ivan Huuva

Jörgen Wallerman

Johan ES Fransson

Henrik J Persson

2023/8/25

Five-year inter-annual variation in the net landscape carbon balance of a managed boreal forest landscape in Sweden

EGU General Assembly Conference Abstracts

Jinshu Chi

Anne Klosterhalfen

Mats Nilsson

Hjalmar Laudon

Anders Lindroth

...

2023/5

On the uncertainty in estimates of the carbon balance recovery time after forest clear‐cutting

Global Change Biology

Matthias Peichl

Eduardo Martínez‐García

Johan ES Fransson

Jörgen Wallerman

Hjalmar Laudon

...

2023/8

Holes in the tundra: Invasive earthworms alter soil structure and moisture in tundra soils

Science of the Total Environment

Jonatan Klaminder

Eveline J Krab

M Larsbo

Hanna Jonsson

J Fransson

...

2023/2/10

Forest Biophysical Parameter Estimation via Machine Learning and Neural Network Approaches

Samet Aksoy

Şulenur Topgül

Elif Sertel

Cem Ünsalan

Jari Salo

...

2023/7

Potential of mapping forest damage from remotely sensed data

Arbetsrapport/Sveriges lantbruksuniversitet, Institutionen för skoglig resurshushållning

Eva Lindberg

Inka Bohlin

Jonas Bohlin

Johan Fransson

Langning Huo

...

2022

Detectability of Silvicultural Treatments in Time Series of Penetration Depth Corrected Tandem-X Phase Heights

Ivan Huuva

Henrik J Persson

Jörgen Wallerman

Johan ES Fransson

2022/7/17

ForestMap: The next generation of forest maps–adapting a Nordic success story across the globe

Johan Fransson

2022

Comparison of boreal biomass estimations using C-and X-band polsar

Henrik J Persson

Ritwika Mukhopadhyay

Ivan Huuva

Johan ES Fransson

2022/7/17

Comparing spectral differences between healthy and early infested spruce forests caused by bark beetle attacks using satellite images

Langning Huo

Eva Lindberg

Johan ES Fransson

Henrik J Persson

2022/7/17

See List of Professors in Johan E.S. Fransson University(Sveriges lantbruksuniversitet)