Mikael Egberth

Publications

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2021

Modelling of Aboveground Biomass Change Using LiDAR Metrics and NFI Field Data: A Case Study of Southern Sweden

Mukhopadhyay, Ritwika; Indirabai, Indu; Nilsson, Mats et al. 2021. DOI: 10.34726/wim.1982

Conference paper

2020

Nation-wide mapping of tree growth using repeated airborne laser scanning

Wallerman, Jorgen; Nystrom, Kenneth; Nilsson, Mats et al. 2020. DOI: 10.1109/IGARSS39084.2020.9323955

Conference paper (Peer reviewed)

2019

A community-based evaluation of population growth and agro-pastoralist resilience in Sub-Saharan drylands

Burian, Alfred; Karaya, Rebecca; Wernersson, Julia E. V. et al. 2019. DOI: 10.1016/j.envsci.2018.10.021

Research article (Peer reviewed)

2017

Combining airborne laser scanning and Landsat data for statistical modeling of soil carbon and tree biomass in Tanzanian Miombo woodlands

Egberth, Mikael; Nyberg, Gert; Naesset, Erik et al. 2017. DOI: 10.1186/s13021-017-0076-y

Research article (Peer reviewed)

A nationwide forest attribute map of Sweden predicted using airborne laser scanning data and field data from the National Forest Inventory

Nilsson, Mats; Nordkvist, Karin; Jonzen, Jonas et al. 2017. DOI: 10.1016/j.rse.2016.10.022

Research article (Peer reviewed)

2015

A nationwide forest attribute map of Sweden derived using airborne laser scanning data and field data from the national forest inventory

Nilsson, Mats; Nordkvist, Karin; Jonzén, Jonas et al. 2015.

Conference paper (Peer reviewed)

2012

Analysis of effects of scanning angle on ALS-derived vegetation metrics in a nationwide airborne ALS acquisition

Montaghi, Alessandro; Egberth, Mikael; Wallerman, Jörgen et al. 2012.

Conference paper

Histogram matching for the calibration of kNN stem volume estimates

Gilichinsky, Michael; Wallerman, Jörgen; Egberth, Mikael et al. 2012. DOI: 10.1080/01431161.2012.700134

Research article (Peer reviewed)

2011

Modelling earlier forest landscapes by combining forest inventory data with historical maps and other geographic information

Axelsson, Anna-Lena; Egberth, Mikael; Olsson, Håkan. 2011.

Conference abstract

2008

Satellite data time series for forecasting, habitat modelling and visualisation of the managed boreal forest landscape

Olsson, Håkan; Sallnäs, Ola; Nilsson, Mats et al. 2008.

Conference paper

2007

Utveckling av metodik för flygbildstolkning inom NILS landskapsrutor (5x5 km)

Marklund, Liselott; Allard, Anna; Egberth, Mikael et al. 2007.

Factsheet

2006

Current and emerging operational use of remote sensing in Swedish forestry

Olsson, Håkan; Egberth, Mikael; Engberg, Jonas et al. 2006.

Conference paper

2005

Automated estimation of forest parameters for Sweden using Landsat data and the kNN algorithm

Reese, Heather; Granqvist, Pahlen Tina; Egberth, Mikael et al. 2005.

Conference paper

2004

kNN-Sverige ger en heltäckande bild av skogen

Granqvist, Pahlen; Nilsson, Mats; Egberth, Mikael. 2004.

Magazine article

Kartering av svenska fjällen med hjälp av Landsat Satellitdata och NILS-fältdata

Reese Heather, Egberth Mikael, Nilsson Mats. 2004.

Conference abstract

kNN-Sverige - Aktuella kartdata över skogsmarken

Granqvist Pahlen Tina, Egberth Mikael, Hagner Olle, Nilsson Mats, Olsson Håkan. 2004.

Factsheet

2003

Conflict resolution by participatory management: Remote sensing and GIS as tools for communicating land-use needs for reindeer herding in northern Sweden

Sandström, Per; Granqvist Pahlen, Tina; Edenius, Lars et al. 2003. DOI: 10.1639/0044-7447(2003)032[0557:CRBPMR]2.0.CO;2

Research article (Peer reviewed)

Conflict resolution by participatory management: remote sensing and GIS as tools for communicating land use needs for reindeer herding in northern Sweden

Sandström, Per; Granqvist, Pahlen Tina; Edenius, Lars et al. 2003. DOI: 10.1579/0044-7447-32.8.557

Research article (Peer reviewed)

Projekt Renbruksplan 2000-2002, Slutrapport - ett planeringsverktyg för samebyarna Rapport 2003:5

Hans, Tømmervik; Leif, Hemberg Jougda; Karin, Baer et al. 2003.

Other publication

Countrywide estimates of forest variables using satellite data and field data from the national forest inventory

Reese H, Nilsson M, Pahlen TG, Hagner O, Joyce S, Tingelof U, Egberth M, Olsson H. 2003. DOI: 10.1639/0044-7447(2003)032[0542:CEOFVU]2.0.CO;2

Research article (Peer reviewed)