A comparison of automated and traditional monitoring techniques for marbled murrelets using passive acoustic sensors

2015 ◽  
Vol 39 (4) ◽  
pp. 813-818 ◽  
Author(s):  
Abraham L. Borker ◽  
Portia Halbert ◽  
Matthew W. Mckown ◽  
Bernie R. Tershy ◽  
Donald A. Croll
Keyword(s):  
Acoustic Sensors ◽  
Monitoring Techniques ◽  
Passive Acoustic ◽  
Marbled Murrelets

scholarly journals Estimating cetacean population density using fixed passive acoustic sensors: An example with Blainville’s beaked whales

2009 ◽  
Vol 125 (4) ◽  
pp. 1982-1994 ◽  
Author(s):  
Tiago A. Marques ◽  
Len Thomas ◽  
Jessica Ward ◽  
Nancy DiMarzio ◽  
Peter L. Tyack
Keyword(s):  
Population Density ◽  
Acoustic Sensors ◽  
Beaked Whales ◽  
Passive Acoustic

Tracking of small vessels with passive acoustic sensors

2011 ◽  
Vol 130 (4) ◽  
pp. 2450-2450 ◽  
Author(s):  
Helen H. Ou ◽  
Pasang Sherpa ◽  
Lisa M. Zurk
Keyword(s):  
Acoustic Sensors ◽  
Small Vessels ◽  
Passive Acoustic

Acoustic sensors

2021 ◽  
pp. 53-78
Author(s):  
Anne-Sophie Crunchant ◽  
Chanakya Dev Nakka ◽  
Jason T. Isaacs ◽  
Alex K. Piel
Keyword(s):  
Species Conservation ◽  
Acoustic Monitoring ◽  
Conservation Strategies ◽  
Acoustic Sensors ◽  
Passive Acoustic Monitoring ◽  
Acoustic Data ◽  
Habitat Integrity ◽  
Technological Advances ◽  
Acoustic Space ◽  
Passive Acoustic

Animals share acoustic space to communicate vocally. The employment of passive acoustic monitoring to establish a better understanding of acoustic communities has emerged as an important tool in assessing overall diversity and habitat integrity as well as informing species conservation strategies. This chapter aims to review how traditional and more emerging bioacoustic techniques can address conservation issues. Acoustic data can be used to estimate species occupancy, population abundance, and animal density. More broadly, biodiversity can be assessed via acoustic diversity indices, using the number of acoustically conspicuous species. Finally, changes to the local soundscape provide an early warning of habitat disturbance, including habitat loss and fragmentation. Like other emerging technologies, passive acoustic monitoring (PAM) benefits from an interdisciplinary collaboration between biologists, engineers, and bioinformaticians to develop detection algorithms for specific species that reduce time-consuming manual data mining. The chapter also describes different methods to process, visualize, and analyse acoustic data, from open source to commercial software. The technological advances in bioacoustics turning heavy, non-portable, and expensive hardware and labour and time-intensive methods for analysis into new small, movable, affordable, and automated systems, make acoustic sensors increasingly popular among conservation biologists for all taxa.

Algorithms for Crowd Surveillance Using Passive Acoustic Sensors Over a Multimodal Sensor Network

2015 ◽  
Vol 15 (3) ◽  
pp. 1920-1930 ◽  
Author(s):  
Rohit Agarwal ◽  
Sudhir Kumar ◽  
Rajesh M. Hegde
Keyword(s):  
Sensor Network ◽  
Acoustic Sensors ◽  
Passive Acoustic ◽  
Crowd Surveillance
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