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  <titleInfo>
    <title>New Developments and Environmental Applications of Drones</title>
    <subTitle>Proceedings of FinDrones 2023</subTitle>
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    <namePart>Westerlund, Tomi.</namePart>
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    <namePart>Peña Queralta, Jorge.</namePart>
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    <dateIssued encoding="marc">2024</dateIssued>
    <edition>1st ed. 2024.</edition>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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    <extent>VI, 150 p. 68 illus., 61 illus. in color. online resource.</extent>
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  <abstract>This volume presents the conference proceedings from FinDrones 2023. The book highlights recent drone technology developments by experts and academicians for applications in agriculture, forestry, and other industries. This iteration of FinDrones presents research using autonomous drones in various fields from environmental monitoring to farm robotics and from photogrammetry to search and rescue missions. Emphasis is placed on contextualizing the conference presentations and content to Finland and the unique challenges typical to the region. The work will interest academicians, entrepreneurs, and professionals involved in remote sensing applications of unmanned aerial vehicles and enthusiasts of drone technological developments.</abstract>
  <tableOfContents>Chapter 1: Wild Swarms: Autonomous Drones for Environmental Monitoring and Protection -- Chapter 2: Connecting different drone operations with the farm robotics management -- Chapter 3: Is Alice Really in Wonderland? UWB-Based Proof of Location for UAVs with Hyperledger Fabric Blockchain -- Chapter 4: Accuracy assessment of UAS photogrammetry with GCP and PPK-assisted georeferencing -- Chapter 5: Simulation Analysis of Exploration Strategies and UAV Planning for Search and Rescue -- Chapter 6: Evaluating the Performance of Multi-Scan Integration for UAV LiDAR-based Tracking -- Chapter 7: Applications and challenges related to the use of Unmanned Aircraft Systems in environment monitoring -- Chapter 8: Drone-borne measurements of solar-induced chlorophyll fluorescence (SIF) at a boreal site -- Chapter 9: Thermal Drone Images as a Predictor of Soil Moisture Values.</tableOfContents>
  <note type="statement of responsibility">edited by Tomi Westerlund, Jorge Peña Queralta.</note>
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    <topic>Geographic information systems</topic>
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    <topic>Aerospace engineering</topic>
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  <subject authority="lcsh">
    <topic>Astronautics</topic>
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  <subject authority="lcsh">
    <topic>Environmental monitoring</topic>
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  <subject authority="lcsh">
    <topic>Control engineering</topic>
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  <subject authority="lcsh">
    <topic>Robotics</topic>
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  <subject authority="lcsh">
    <topic>Automation</topic>
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  <subject>
    <topic>Geographical Information System</topic>
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  <subject>
    <topic>Aerospace Technology and Astronautics</topic>
  </subject>
  <subject>
    <topic>Environmental Monitoring</topic>
  </subject>
  <subject>
    <topic>Control, Robotics, Automation</topic>
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  <classification authority="lcc">G70.212-.217</classification>
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  <identifier type="isbn">9783031446078</identifier>
  <identifier type="uri">https://doi.org/10.1007/978-3-031-44607-8</identifier>
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