Wheel rutting: preliminary investigations of soil redox potential and automated monitoring of their presence using machine learning and highresolution LiDAR data

Ingeborg Callesen; Bo Brockmann; Lene Fischer; Andreas Magnussen; Erik Bjørnager Dam

Wheel rutting: preliminary investigations of soil redox potential and automated monitoring of their presence using machine learning and highresolution LiDAR data

Ingeborg Callesen, Bo Brockmann, Lene Fischer, Andreas Magnussen, Erik Bjørnager Dam

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research

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Abstract

The aim of this study is to report preliminary results from ongoing work that seeks to a) explore the soil environment in and around wheel tracks in forest and b) to develop an algorithm that can automate the quantification of the length and depth of wheel ruts per hectare in forest.

Original language	English
Title of host publication	Forest Operations for the Future - Conference Proceedings
Number of pages	5
Publisher	University of Copenhagen
Publication date	2020
Pages	58-62
Publication status	Published - 2020
Event	The Nordic-Baltic conference on Operations Research: Forest Operations for the Future - Konventum, Helsingør, Denmark Duration: 22 Sep 2020 → 24 Sep 2020

Conference

Conference	The Nordic-Baltic conference on Operations Research: Forest Operations for the Future
Location	Konventum
Country/Territory	Denmark
City	Helsingør
Period	22/09/2020 → 24/09/2020

Keywords

Faculty of Science

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NBNord2020 Forest Operations for the Future Conference ProceedingsFinal published version, 4.78 MBLicence: Unspecified

Cite this

Wheel rutting: preliminary investigations of soil redox potential and automated monitoring of their presence using machine learning and highresolution LiDAR data. / Callesen, Ingeborg ; Brockmann, Bo ; Fischer, Lene; Magnussen, Andreas; Dam, Erik Bjørnager.

Forest Operations for the Future - Conference Proceedings. University of Copenhagen, 2020. p. 58-62.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research

Callesen, I , Brockmann, B , Fischer, L, Magnussen, A & Dam, EB 2020, Wheel rutting: preliminary investigations of soil redox potential and automated monitoring of their presence using machine learning and highresolution LiDAR data. in Forest Operations for the Future - Conference Proceedings. University of Copenhagen, pp. 58-62, The Nordic-Baltic conference on Operations Research: Forest Operations for the Future, Helsingør, Denmark, 22/09/2020.

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title = "Wheel rutting: preliminary investigations of soil redox potential and automated monitoring of their presence using machine learning and highresolution LiDAR data",

abstract = "The aim of this study is to report preliminary results from ongoing work that seeks to a) explore the soil environment in and around wheel tracks in forest and b) to develop an algorithm that can automate the quantification of the length and depth of wheel ruts per hectare in forest.",

keywords = "Faculty of Science, forest operations, machine learning, soil impact, digital sensors",

author = "Ingeborg Callesen and Bo Brockmann and Lene Fischer and Andreas Magnussen and Dam, {Erik Bj{\o}rnager}",

year = "2020",

language = "English",

pages = "58--62",

booktitle = "Forest Operations for the Future - Conference Proceedings",

publisher = "University of Copenhagen",

note = "null ; Conference date: 22-09-2020 Through 24-09-2020",

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T1 - Wheel rutting: preliminary investigations of soil redox potential and automated monitoring of their presence using machine learning and highresolution LiDAR data

AU - Callesen, Ingeborg

AU - Brockmann, Bo

AU - Fischer, Lene

AU - Magnussen, Andreas

AU - Dam, Erik Bjørnager

PY - 2020

Y1 - 2020

N2 - The aim of this study is to report preliminary results from ongoing work that seeks to a) explore the soil environment in and around wheel tracks in forest and b) to develop an algorithm that can automate the quantification of the length and depth of wheel ruts per hectare in forest.

AB - The aim of this study is to report preliminary results from ongoing work that seeks to a) explore the soil environment in and around wheel tracks in forest and b) to develop an algorithm that can automate the quantification of the length and depth of wheel ruts per hectare in forest.

KW - Faculty of Science

KW - forest operations

KW - machine learning

KW - soil impact

KW - digital sensors

UR - https://www.skogforsk.se/english/products-and-events/other/forest-operations-for-the-future---current-rd-in-forest-operations-and-technology-in-the-nordic-baltic-countries/

M3 - Article in proceedings

SP - 58

EP - 62

BT - Forest Operations for the Future - Conference Proceedings

PB - University of Copenhagen

Y2 - 22 September 2020 through 24 September 2020

ER -

Wheel rutting: preliminary investigations of soil redox potential and automated monitoring of their presence using machine learning and highresolution LiDAR data

Abstract

Conference

Keywords

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