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This project is sponsored by the Georgia Forestry Commission (GFC). The project aims to assess statewide tree canopy coverage using the National Agriculture Imagery Program (NAIP) imagery and machine-learning software. It is a follow-up project to the 2015 statewide canopy assessment project conducted by UNG faculty and students in 2016. We will assess 2009 and 2019 statewide tree canopy and determine canopy changes from 2009 to 2019.</description>
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[Downtown Atlanta, GA classified]

This project is parallel research to the GFC canopy assessment by 
Owen Smith for Dr. Cho&#039;s GISC 4903 - Special Topics in GIS  .
Its focus is on creating an open source canopy classification system designed 
specifically to utilize NAIP imagery
within an efficient Python module built on 
Scikit-learn, 
GDAL, and</description>
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Abstract from the 25th UNG Research Conference

projects</description>
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Workspace



This project is sponsored by IESA. The walkway behind the Science, Engineering &amp; Technology building in the UNG Gainesville campus suffers from flooding from stormwater whenever there is a heavy rainfall event. This project aims to address flooding issues around this building.  We will analyze the vulnerability of the stormwater drainage system in the campus to storm events and predict the highest frequency of storm events (i.e., most often, but smallest rai…</description>
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        <title>Efficient longest flow path algorithm</title>
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r.accumulate



\[
\def\LFP{\overrightarrow{\text{LFP}}}
\def\FP{\overrightarrow{\text{FP}}}
\def\FL{\text{FL}}
\def\DFL{\text{DFL}}
\def\UFL{\text{UFL}}
\def\LFL{\text{LFL}}
\]

A flow path $\FP_i$ is the watercourse between a pair of two points $i$ within the watershed and the longest flow path $\LFP$ is defined as

\[
  \LFP\in\left\{\FP_i\;:\;\left|\FP_i\right|\geq\left|\FP_j\right|\;\forall i\neq j\right\}.
\]

The longest flow path plays an…</description>
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