Wheel rutting: preliminary investigations of soil redox potential and automated monitoring of their presence using machine learning and highresolution LiDAR data
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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
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TY - GEN
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 -
ID: 251260768