<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Piña-Covarrubias, Evelyn</style></author><author><style face="normal" font="default" size="100%">Hill, Andrew P.</style></author><author><style face="normal" font="default" size="100%">Prince, Peter</style></author><author><style face="normal" font="default" size="100%">Snaddon, Jake L.</style></author><author><style face="normal" font="default" size="100%">Rogers, Alex</style></author><author><style face="normal" font="default" size="100%">Doncaster, C. Patrick</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Pettorelli, Nathalie</style></author><author><style face="normal" font="default" size="100%">Guillard, Jean</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Optimization of sensor deployment for acoustic detection and localization in terrestrial environments</style></title><secondary-title><style face="normal" font="default" size="100%">Remote Sensing in Ecology and Conservation</style></secondary-title><short-title><style face="normal" font="default" size="100%">Remote Sens Ecol Conserv</style></short-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">acoustic monitoring</style></keyword><keyword><style  face="normal" font="default" size="100%">acoustic sensors</style></keyword><keyword><style  face="normal" font="default" size="100%">AudioMoth</style></keyword><keyword><style  face="normal" font="default" size="100%">Biodiversity monitoring</style></keyword><keyword><style  face="normal" font="default" size="100%">ecosystem management</style></keyword><keyword><style  face="normal" font="default" size="100%">optimisation</style></keyword><keyword><style  face="normal" font="default" size="100%">Soundscape</style></keyword><keyword><style  face="normal" font="default" size="100%">submodularity</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2018</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Jun-10-2019</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://doi.wiley.com/10.1002/rse2.97</style></url></web-urls></urls><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;The rapid evolution in miniaturization, power efficiency and affordability of acoustic sensors, combined with new innovations in smart capability, are vastly expanding opportunities in ground-level monitoring for wildlife conservation at a regional scale using massive sensor grids. Optimal placement of environmen- tal sensors and probabilistic localization of sources have previously been consid- ered only in theory, and not tested for terrestrial acoustic sensors. Conservation applications conventionally model detection as a function of distance. We developed probabilistic algorithms for near-optimal placement of sensors, and for localization of the sound source as a function of spatial variation in sound pressure. We employed a principled-GIS tool for mapping soundscapes to test the methods on a tropical-forest case study using gunshot sensors. On hilly ter- rain, near-optimal placement halved the required number of sensors compared to a square grid. A test deployment of acoustic devices matched the predicted success in detecting gunshots, and traced them to their local area. The methods are applicable to a broad range of target sounds. They require only an empirical estimate of sound-detection probability in response to noise level, and a sound- scape simulated from a topographic habitat map. These methods allow conser- vation biologists to plan cost-effective deployments for measuring target sounds, and to evaluate the impacts of sub-optimal sensor placements imposed by access or cost constraints, or multipurpose uses.&lt;/p&gt;
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