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Drones, Volume 1, Issue 1 (December 2017)

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Editorial

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Open AccessEditorial Drones—An Open Access Journal
Drones 2017, 1(1), 1; doi:10.3390/drones1010001
Received: 15 December 2016 / Revised: 16 December 2016 / Accepted: 16 December 2016 / Published: 4 January 2017
Cited by 2 | PDF Full-text (174 KB) | HTML Full-text | XML Full-text
Abstract
Since the beginning of aviation, unmanned aerial systems have been a challenge for scientists and engineers. Full article

Research

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Open AccessArticle Hardware Design of a Small UAS Helicopter for Remote Sensing Operations
Drones 2017, 1(1), 3; doi:10.3390/drones1010003
Received: 21 July 2017 / Revised: 30 August 2017 / Accepted: 31 August 2017 / Published: 10 September 2017
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Abstract
This paper presents the hardware design and integration process employed to develop an Unmanned Aircraft System (UAS) helicopter. The design process evolves from the bare airframe (without any electronics), to become a complete and advanced UAS platform for remote sensing applications. The improvements,
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This paper presents the hardware design and integration process employed to develop an Unmanned Aircraft System (UAS) helicopter. The design process evolves from the bare airframe (without any electronics), to become a complete and advanced UAS platform for remote sensing applications. The improvements, design decisions and justifications are described throughout the paper. Two airframes have been used during the design and integration process: the AF25B model and the more advanced AF30 model, from the Copterworks company. The airframe engine reliability and fuel economy have been improved by adding an Electronic Fuel Injection (EFI) and Capacitor Discharge Ignition (CDI), both managed by an Engine Control Unit (ECU). On-board power supply generation and regulation have also been designed and validated. Finally, the integration process incorporates on-board mission computation to improve the concept of operation in remote sensing applications. Several flight tests have been performed to verify the reliability of the whole system. The flight test results demonstrate the correct process of integration and the feasibility of the UAS. Full article
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Review

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Open AccessReview Unmanned Aerial Systems for Civil Applications: A Review
Drones 2017, 1(1), 2; doi:10.3390/drones1010002
Received: 10 May 2017 / Revised: 7 July 2017 / Accepted: 12 July 2017 / Published: 13 July 2017
Cited by 1 | PDF Full-text (17993 KB) | HTML Full-text | XML Full-text
Abstract
The present work is a review of unmanned aerial systems technology and their subsystems (frame, propellers, motors and batteries, payloads, and data processing). Different applications are evaluated, related to remote sensing, spraying of liquids, and logistics. An overview of the regulatory framework is
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The present work is a review of unmanned aerial systems technology and their subsystems (frame, propellers, motors and batteries, payloads, and data processing). Different applications are evaluated, related to remote sensing, spraying of liquids, and logistics. An overview of the regulatory framework is also developed. Full article
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Other

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Open AccessTechnical Note Post-Logging Estimation of Loblolly Pine (Pinus taeda) Stump Size, Area and Population Using Imagery from a Small Unmanned Aerial System
Drones 2017, 1(1), 4; doi:10.3390/drones1010004
Received: 30 August 2017 / Revised: 16 October 2017 / Accepted: 17 October 2017 / Published: 20 October 2017
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Abstract
This study describes an unmanned aerial system (UAS) method for accurately estimating the number and diameters of harvested Loblolly Pine (Pinus taeda) stumps in a final harvest (often referred as clear-cut) situation. The study methods are potentially useful in initial detection,
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This study describes an unmanned aerial system (UAS) method for accurately estimating the number and diameters of harvested Loblolly Pine (Pinus taeda) stumps in a final harvest (often referred as clear-cut) situation. The study methods are potentially useful in initial detection, quantification of area and volume estimation of legal or illegal logging events to help estimate the volumes and value of removed pine timber. The study sites used included three adjacent pine stands in East-Central Mississippi. Using image pattern recognition algorithms, results show a counting accuracy of 77.3% and RMSE of 4.3 cm for stump diameter estimation. The study also shows that the area can be accurately estimated from the UAS collected data. Our experimental study shows that the proposed UAS survey method has the potential for wide use as a monitoring or investigation tool in the forestry and land management industries. Full article
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