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DTSTAMP:20201210T134555Z
UID:084958AE-7B92-4D40-AEAC-BB6901E6E1E3
DTSTART;TZID=US/Eastern:20201022T160000
DTEND;TZID=US/Eastern:20201022T170000
DESCRIPTION:The rainforest of Ranomafana National Park in southeast Madagas
 car is rich in biodiversity\, with many endangered and endemic species. Ro
 chester Institute of Technology\, Seneca Park Zoo\, the University of Anta
 nanarivo\, and Centre ValBio are collaborating to use remote sensing and o
 ther sensing technologies to record the biodiversity in and near the park.
  One goal of the work is to collect a variety of data to be used for a vir
 tual reality environment of the rainforest for zoo visitors. The site sele
 cted for this simulation is a small stream valley in an area of dense seco
 ndary forest. To capture the ground and vegetation structure at the site\,
  thirty-four ground-based lidar scans were made from the streambed and the
  adjacent hillsides. The hillside scans were done at sites where AudioMoth
  microphones were set to record sound the first 10 minutes of each hour fo
 r 68 hours. These audio data captured the soundscape (frequency and amplit
 ude over time) and were dominated by the sounds of the insects and frogs a
 t the site\, although other sounds were captured such as human activity\, 
 birds\, rain\, thunder\, and forest mammals (mainly bats and lemurs). Beyo
 nd capturing data for simulations\, our analysis of these data demonstrate
 s how these technologies can be used to study relationships between forest
  structure\, weather\, and the soundscape to provide insights for ecologis
 ts studying biodiversity.\n\nSpeaker(s): Anthony Vodacek\, \n\nBldg: Louis
 e Slaughter Hall\, 78 Rochester Institute of Technology\, Rochester\, New 
 York\, United States\, 14623
LOCATION:Bldg: Louise Slaughter Hall\, 78 Rochester Institute of Technology
 \, Rochester\, New York\, United States\, 14623
ORGANIZER:emmett@cis.rit.edu
SEQUENCE:1
SUMMARY:Multi-Modal Sensing in Ranomafana National Park\, Madagascar: Acous
 tic Soundscape and Lidar Structure
URL;VALUE=URI:https://events.vtools.ieee.org/m/240537
X-ALT-DESC:Description: <br /><p>The rainforest of Ranomafana National Park
  in southeast Madagascar is rich in biodiversity\, with many endangered an
 d endemic species. Rochester Institute of Technology\, Seneca Park Zoo\, t
 he University of Antananarivo\, and Centre ValBio are collaborating to use
  remote sensing and other sensing technologies to record the biodiversity 
 in and near the park. One goal of the work is to collect a variety of data
  to be used for a virtual reality environment of the rainforest for zoo vi
 sitors. The site selected for this simulation is a small stream valley in 
 an area of dense secondary forest. To capture the ground and vegetation st
 ructure at the site\, thirty-four ground-based lidar scans were made from 
 the streambed and the adjacent hillsides. The hillside scans were done at 
 sites where AudioMoth microphones were set to record sound the first 10 mi
 nutes of each hour for 68 hours. These audio data captured the soundscape 
 (frequency and amplitude over time) and were dominated by the sounds of th
 e insects and frogs at the site\, although other sounds were captured such
  as human activity\, birds\, rain\, thunder\, and forest mammals (mainly b
 ats and lemurs). Beyond capturing data for simulations\, our analysis of t
 hese data demonstrates how these technologies can be used to study relatio
 nships between forest structure\, weather\, and the soundscape to provide 
 insights for ecologists studying biodiversity.</p>
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