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Seismic Line Mapper Beta: A tool for enhanced delineation and attribution of linear disturbances in forests

Applied Geospatial Research Group

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  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.3637650", 
  "title": "Seismic Line Mapper Beta: A tool for enhanced delineation and attribution of linear disturbances in forests", 
  "issued": {
    "date-parts": [
  "abstract": "<p><strong><a href=\"\">Seismic Line Mapper (SLM)</a> 1.0b2</strong> <em>A tool for enhanced delineation and attribution of linear disturbances in forests</em></p>\n\n<p>Copyright &copy; 2020 Applied Geospatial Research Group</p>\n\n<p><strong>Credits</strong> This tool is part of the <a href=\"\"><strong>Boreal Ecosystem Recovery and Assessment (BERA)</strong> Project</a>, and was developed by the <a href=\"\"><strong>Applied Geospatial Research Group</strong></a>.</p>\n\n<p><strong>Citation</strong> Applied Geospatial Research Group. (2020). <em>Seismic Line Mapper: A tool for enhanced delineation and attribution of linear disturbances in forests</em> [Computer software]. Calgary, AB, Canada.</p>\n\n<p><strong>Purpose / Description</strong> SLM is a series of script tools for facilitating the high-resolution mapping and studying of seismic lines (petroleum exploration corridors in forested areas) via processing canopy height models (LiDAR or photogrammetry derived raster images where pixel-values represent the ground-height of vegetation).</p>\n\n<p><strong>Motivation</strong> Given that the process of manually digitizing detailed small-scale (boreal) seismic lines is slow and prone to human error, a semi-automated solution is preferred for large-scale application areas. Additionally, high-resolution CHMs allow for improved seismic line spatial analysis.</p>\n\n<p><strong>Development History</strong></p>\n\n<ul>\n\t<li>February, 2020: Beta public release, beta test, and this online documentation by <a href=\"\"><strong>Gustavo Lopes Queiroz</strong></a>.</li>\n\t<li>November, 2019: Workflow overhaul (least cost corridor &amp; multiprocessing) by <a href=\"\"><strong>Gustavo Lopes Queiroz</strong></a>.</li>\n\t<li>November, 2018: First version in Arcpy by <a href=\"\"><strong>Silvia Losada</strong></a>.</li>\n\t<li>May, 2018: Initial concept (least cost path with ArcGIS model builder) by <a href=\"\"><strong>Sarah Cole</strong></a> and <a href=\"\"><strong>Jerome Cranston</strong></a>.</li>\n</ul>\n\n<p><strong>Acknowledgments</strong> This work is part of the Boreal Ecosystem Recovery and Assessment (BERA) project, and was supported by a Natural Sciences and Engineering Research Council of Canada Collaborative Research and Development Grant (CRDPJ 469943-14) in conjunction with Alberta-Pacific Forest Industries, Cenovus Energy, ConocoPhillips Canada and Canadian Natural Resources.</p>\n\n<p><strong>License</strong> This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License version 3.0 as published by the Free Software Foundation.</p>\n\n<p>This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.</p>\n\n<p><strong>Contact</strong> Contact the Applied Geospatial Research Group at</p>", 
  "author": [
      "family": "Applied Geospatial Research Group"
  "version": "1.0b2", 
  "type": "article", 
  "id": "3637650"
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