AIMS-THERMAL - A THERMAL AND HIGH RESOLUTION COLOR CAMERA SYSTEM INTEGRATED WITH GIS FOR AERIAL MOOSE AND DEER CENSUS IN NORTHEASTERN VERMONT

This paper describes a simultaneously firing dual camera system that integrates a new generation radiometric thermal camera with a high spatial resolution natural color camera where all imagery is spatially indexed with local coordinates and managed by a GIS. A test of the system to estimate the moo...

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Main Authors: Millette, Thomas L, Slaymaker, Dana, Marcano, Eugenio, Alexander, Cedric, Richardson, Leif
Format: Article in Journal/Newspaper
Language:English
Published: Lakehead University 2011
Subjects:
GIS
Online Access:http://alcesjournal.org/index.php/alces/article/view/52
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spelling ftjalces:oai:ojs.pkp.sfu.ca:article/52 2024-06-16T07:33:09+00:00 AIMS-THERMAL - A THERMAL AND HIGH RESOLUTION COLOR CAMERA SYSTEM INTEGRATED WITH GIS FOR AERIAL MOOSE AND DEER CENSUS IN NORTHEASTERN VERMONT Millette, Thomas L Slaymaker, Dana Marcano, Eugenio Alexander, Cedric Richardson, Leif 2011-06-07 application/pdf http://alcesjournal.org/index.php/alces/article/view/52 eng eng Lakehead University http://alcesjournal.org/index.php/alces/article/view/52/105 http://alcesjournal.org/index.php/alces/article/view/52 Alces: A Journal Devoted to the Biology and Management of Moose; Vol. 47 (2011); 27-37 2293-6629 0835-5851 Aerial infrared sensing aerial color imagery Alces alces density estimates moose remote sensing GIS Vermont info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Remote sensing and GIS 2011 ftjalces 2024-05-22T03:01:08Z This paper describes a simultaneously firing dual camera system that integrates a new generation radiometric thermal camera with a high spatial resolution natural color camera where all imagery is spatially indexed with local coordinates and managed by a GIS. A test of the system to estimate the moose population in northeastern Vermont found that the Airborne Imaging Multispectral Sensor (AIMS) Thermal system performed well under both overcast and sunny conditions; overcast conditions produced far fewer false-positive heat signatures than older systems. Tests for detection rates in hardwood stands indicated 100% accuracy. Tests to determine if camera lens parallax produced different probabilities of detection inside and outside of the image nadir due to the screening effect of trees indicated no such bias. The estimated moose density was 0.85 moose/km2 based on a 20% sample (136 km2) of the 682 km2 study area, and was within 5% of the pre-survey estimate. Future analysis will include testing of sightability in coniferous habitats. Article in Journal/Newspaper Alces alces Alces (A Journal Devoted to the Biology and Management of Moose)
institution Open Polar
collection Alces (A Journal Devoted to the Biology and Management of Moose)
op_collection_id ftjalces
language English
topic Aerial infrared sensing
aerial color imagery
Alces alces
density estimates
moose
remote sensing
GIS
Vermont
spellingShingle Aerial infrared sensing
aerial color imagery
Alces alces
density estimates
moose
remote sensing
GIS
Vermont
Millette, Thomas L
Slaymaker, Dana
Marcano, Eugenio
Alexander, Cedric
Richardson, Leif
AIMS-THERMAL - A THERMAL AND HIGH RESOLUTION COLOR CAMERA SYSTEM INTEGRATED WITH GIS FOR AERIAL MOOSE AND DEER CENSUS IN NORTHEASTERN VERMONT
topic_facet Aerial infrared sensing
aerial color imagery
Alces alces
density estimates
moose
remote sensing
GIS
Vermont
description This paper describes a simultaneously firing dual camera system that integrates a new generation radiometric thermal camera with a high spatial resolution natural color camera where all imagery is spatially indexed with local coordinates and managed by a GIS. A test of the system to estimate the moose population in northeastern Vermont found that the Airborne Imaging Multispectral Sensor (AIMS) Thermal system performed well under both overcast and sunny conditions; overcast conditions produced far fewer false-positive heat signatures than older systems. Tests for detection rates in hardwood stands indicated 100% accuracy. Tests to determine if camera lens parallax produced different probabilities of detection inside and outside of the image nadir due to the screening effect of trees indicated no such bias. The estimated moose density was 0.85 moose/km2 based on a 20% sample (136 km2) of the 682 km2 study area, and was within 5% of the pre-survey estimate. Future analysis will include testing of sightability in coniferous habitats.
format Article in Journal/Newspaper
author Millette, Thomas L
Slaymaker, Dana
Marcano, Eugenio
Alexander, Cedric
Richardson, Leif
author_facet Millette, Thomas L
Slaymaker, Dana
Marcano, Eugenio
Alexander, Cedric
Richardson, Leif
author_sort Millette, Thomas L
title AIMS-THERMAL - A THERMAL AND HIGH RESOLUTION COLOR CAMERA SYSTEM INTEGRATED WITH GIS FOR AERIAL MOOSE AND DEER CENSUS IN NORTHEASTERN VERMONT
title_short AIMS-THERMAL - A THERMAL AND HIGH RESOLUTION COLOR CAMERA SYSTEM INTEGRATED WITH GIS FOR AERIAL MOOSE AND DEER CENSUS IN NORTHEASTERN VERMONT
title_full AIMS-THERMAL - A THERMAL AND HIGH RESOLUTION COLOR CAMERA SYSTEM INTEGRATED WITH GIS FOR AERIAL MOOSE AND DEER CENSUS IN NORTHEASTERN VERMONT
title_fullStr AIMS-THERMAL - A THERMAL AND HIGH RESOLUTION COLOR CAMERA SYSTEM INTEGRATED WITH GIS FOR AERIAL MOOSE AND DEER CENSUS IN NORTHEASTERN VERMONT
title_full_unstemmed AIMS-THERMAL - A THERMAL AND HIGH RESOLUTION COLOR CAMERA SYSTEM INTEGRATED WITH GIS FOR AERIAL MOOSE AND DEER CENSUS IN NORTHEASTERN VERMONT
title_sort aims-thermal - a thermal and high resolution color camera system integrated with gis for aerial moose and deer census in northeastern vermont
publisher Lakehead University
publishDate 2011
url http://alcesjournal.org/index.php/alces/article/view/52
genre Alces alces
genre_facet Alces alces
op_source Alces: A Journal Devoted to the Biology and Management of Moose; Vol. 47 (2011); 27-37
2293-6629
0835-5851
op_relation http://alcesjournal.org/index.php/alces/article/view/52/105
http://alcesjournal.org/index.php/alces/article/view/52
_version_ 1802012683943280640