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Using open-source tools and high-resolution geospatial data to estimate landscapes’ visual attributes

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Using open-source tools and high-resolution geospatial data to estimate landscapes’ visual attributes
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208
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CC Attribution 4.0 International:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
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Presenters: Payam Tabrizian; Center for Geospatial Analytics, NC state university. Anna Petrasova;Center for Geospatial Analytics, NC state university. Vaclav Petras; Center for Geospatial Analytics, NC state university. Helena Mitasova; Center for Geospatial Analytics, NC state university. Perver Baran; Center for Geospatial Analytics, NC state university. Ross meetenmeyer; NC state university.