Intercriteria Analysis as Tool for Acoustic Monitoring of Forest for Early Detection Fires; Advances in Intelligent Systems and Computing; Vol. 1081 : Uncertainty and Imprecision in Decision Making and Decision Support: New Challenges, Solutions and Perspectives
| Parent link: | Advances in Intelligent Systems and Computing Vol. 1081 : Uncertainty and Imprecision in Decision Making and Decision Support: New Challenges, Solutions and Perspectives.— 2021.— [P. 205-213] |
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| Ente Autore: | |
| Altri autori: | , , , , , , , |
| Riassunto: | Title screen The article considers the possibility of using of the acoustic monitoring of forests and the intercriterial analysis for the early detection of forest fires. It is shown that the sound from the acoustic emission of combustion becomes available for registration earlier than visual observation or registration using smoke or temperature sensors (at least in some cases). Режим доступа: по договору с организацией-держателем ресурса |
| Lingua: | inglese |
| Pubblicazione: |
2021
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| Serie: | Advances in Intelligent Systems and Computing book series |
| Soggetti: | |
| Accesso online: | https://doi.org/10.1007/978-3-030-47024-1_22 |
| Natura: | Elettronico Capitolo di libro |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=663169 |