دورية أكاديمية
أعرض في EDS

Positioning Methods and the Use of Location and Activity Data in Forests.

التفاصيل البيبلوغرافية
العنوان: Positioning Methods and the Use of Location and Activity Data in Forests.
المؤلفون: Keefe RF; Department of Forest, Rangeland and Fire Sciences, University of Idaho, 875 Perimeter Drive, Moscow, ID 83844, USA., Wempe AM; Department of Forest, Rangeland and Fire Sciences, University of Idaho, 875 Perimeter Drive, Moscow, ID 83844, USA., Becker RM; Department of Forest, Rangeland and Fire Sciences, University of Idaho, 875 Perimeter Drive, Moscow, ID 83844, USA., Zimbelman EG; Department of Forest, Rangeland and Fire Sciences, University of Idaho, 875 Perimeter Drive, Moscow, ID 83844, USA., Nagler ES; Department of Forest, Rangeland and Fire Sciences, University of Idaho, 875 Perimeter Drive, Moscow, ID 83844, USA., Gilbert SL; Department of Fish and Wildlife Sciences, University of Idaho, 875 Perimeter Drive, Moscow, ID 83844, USA., Caudill CC; Department of Fish and Wildlife Sciences, University of Idaho, 875 Perimeter Drive, Moscow, ID 83844, USA.
المصدر: Forests [Forests] 2019; Vol. 10 (5).
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101664454 Publication Model: Print Cited Medium: Print ISSN: 1999-4907 (Print) Linking ISSN: 19994907 NLM ISO Abbreviation: Forests Subsets: PubMed not MEDLINE
أسماء مطبوعة: Original Publication: Basel : MDPI
مستخلص: In this paper, we provide an overview of positioning systems for moving resources in forest and fire management and review the related literature. Emphasis is placed on the accuracy and range of different localization and location-sharing methods, particularly in forested environments and in the absence of conventional cellular or internet connectivity. We then conduct a second review of literature and concepts related to several emerging, broad themes in data science, including the terms location-based services (LBS) , geofences , wearable technology , activity recognition , mesh networking , the Internet of Things (IoT) , and big data . Our objective in this second review is to inform how these broader concepts, with implications for networking and analytics, may help to advance natural resource management and science in the future. Based on methods, themes, and concepts that arose in our systematic reviews, we then augmented the paper with additional literature from wildlife and fisheries management, as well as concepts from video object detection, relative positioning, and inventory-tracking that are also used as forms of localization. Based on our reviews of positioning technologies and emerging data science themes, we present a hierarchical model for collecting and sharing data in forest and fire management, and more broadly in the field of natural resources. The model reflects tradeoffs in range and bandwidth when recording, processing, and communicating large quantities of data in time and space to support resource management, science, and public safety in remote areas. In the hierarchical approach, wearable devices and other sensors typically transmit data at short distances using Bluetooth, Bluetooth Low Energy (BLE), or ANT wireless, and smartphones and tablets serve as intermediate data collection and processing hubs for information that can be subsequently transmitted using radio networking systems or satellite communication. Data with greater spatial and temporal complexity is typically processed incrementally at lower tiers, then fused and summarized at higher levels of incident command or resource management. Lastly, we outline several priority areas for future research to advance big data analytics in natural resources.
Competing Interests: The authors declare no conflict of interest. The founding sponsors had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, and in the decision to publish the results.
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معلومات مُعتمدة: U01 OH010841 United States OH NIOSH CDC HHS; U54 OH007544 United States OH NIOSH CDC HHS
فهرسة مساهمة: Keywords: Global Navigation Satellite System; Global Positioning System; Internet of Things; activity recognition; big data; fisheries; forestry; geofence; location-based services; mesh network; passive integrated transponder; radio frequency identification; radio telemetry; ultra-wideband; wearable technology; wildland fire; wildlife
تواريخ الأحداث: Date Created: 20230514 Latest Revision: 20240617
رمز التحديث: 20240617
مُعرف محوري في PubMed: PMC10174273
DOI: 10.3390/f10050458
PMID: 37180360
قاعدة البيانات: MEDLINE
الوصف
تدمد:1999-4907
DOI:10.3390/f10050458