Unmanned Aerial Systems (UAS) for environmental applications special issue preface

Published on Aug 20, 2018in International Journal of Remote Sensing3.151
· DOI :10.1080/01431161.2018.1491518
Anita Simic Milas8
Estimated H-index: 8
(BGSU: Bowling Green State University),
Joaquim J. Sousa9
Estimated H-index: 9
+ 7 AuthorsAmy Woodget9
Estimated H-index: 9
(University of Worcester)
Sources
Abstract
Drones are indeed a key new technology for remote sensing, and one that has grown rapidly in recent years. According to the database, Web of Science (published by Clarivate Analytics), the first significant use in IJRS of any of the terms UAS, unmanned aerial vehicle (UAV) or drones, for example, in the title, abstract, or keyword of an article, was in 2009, in a paper by Dunford et al. (2009). It was not until 2012 that another paper used one of those terms. After that, the numbers increased very quickly, and by 2017, IJRS published 68 papers that referenced these terms. Most notably, 2017 also saw the first IJRS special issue on UAS, titled ‘Unmanned aerial vehicles for environmental applications’ (The Editors 2017). This current special issue is a direct follow-on from that major collection of papers, and the fact that we are able to have two major special issues on this topic in the space of just over one year, is further evidence of its importance
📖 Papers frequently viewed together
References37
Newest
#1E. Raymond Hunt (ARS: Agricultural Research Service)H-Index: 39
#2Craig S. T. Daughtry (ARS: Agricultural Research Service)H-Index: 51
ABSTRACTRemote sensing from unmanned aircraft systems (UAS) was expected to be an important new technology to assist farmers with precision agriculture, especially crop nutrient management. There are three advantages using UAS platforms compared to manned aircraft platforms with the same sensor for precision agriculture: (1) smaller ground sample distances, (2) incident light sensors for image calibration, and (3) canopy height models created from structure-from-motion point clouds. These develo...
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#1Tristan R.H. Goodbody (UBC: University of British Columbia)H-Index: 10
#2Nicholas C. Coops (UBC: University of British Columbia)H-Index: 86
Last. Patrick CrawfordH-Index: 2
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ABSTRACTAccurate, reliable, and cost-effective methods of evaluating forest regeneration success are needed to improve forest inventories and silvicultural operations. While traditional surveys are relatively inexpensive and meet current data requirements, their annual coverage of over 1 million hectares in British Columbia alone are operationally and logistically intensive. To improve the efficiency and utility of forest regeneration inventories, the incorporation of multi-temporal monitoring l...
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#1Oliver Wigmore (INSTAAR: Institute of Arctic and Alpine Research)H-Index: 8
#2Bryan G. Mark (OSU: Ohio State University)H-Index: 36
ABSTRACTResearching glacier-melt impacted hydrology in the Andes motivates us to collect on-demand, high-resolution multispectral imagery, and digital elevation models (DEMs). While adverse conditions in these remote mountain locations present technical challenges for motorized unmanned aerial systems (UAS), consistent katabatic winds allow for testing lightweight Kite Aerial Photography (KAP) as an alternative. We use a KAP platform at 4000 msl in the Peruvian Andes to survey a 0.23 km2 pro-gla...
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#1Mengxiao Song (WHU: Wuhan University)H-Index: 1
#2Zheng Ji (UW: University of Waterloo)H-Index: 1
Last. Jing Fu (EPRI: Electric Power Research Institute)H-Index: 1
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ABSTRACTPanoramic mosaicking is a key step in the process of aerial photogrammetry, which combines multiple images to form a single image with a wide field of view. In this article, a refined global seam-line network generation method based on bounded Voronoi diagrams and watershed segmentation algorithm is proposed for mosaicking unmanned aerial vehicle (UAV) orthoimages. First of all, valid range polygons and image centres are extracted from orthoimages. Second, an initial seam-line network is...
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#1Julia Witczuk (Museum and Institute of Zoology)H-Index: 5
#2Stanisław Pagacz (Museum and Institute of Zoology)H-Index: 7
Last. Maciej CypelH-Index: 1
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ABSTRACTEffective wildlife management and conservation require reliable assessments of animal abundance. However, no ungulate monitoring methods is entirely satisfying in terms of cost-effectiveness and accuracy. A new method combining unmanned aerial vehicles (drones) and thermal infrared (TIR) imaging may have great potential as a tool for ungulate surveys. Drones enable safe operations at low flying altitudes, and at night – a time that often offers the optimal conditions for wildlife monitor...
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#1Salvatore Filippo Di Gennaro (National Research Council)H-Index: 16
#2F. Rizza (Canadian Real Estate Association)H-Index: 11
Last. Alessandro Matese (National Research Council)H-Index: 20
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ABSTRACTIn the context of plant breeding, high-throughput phenotyping is an assessment of plant phenotypes on a scale and with a level of speed and precision not achievable with traditional methods, through the application of emerging technologies such as automation and robotics, new sensors, and imaging technologies (hardware and software). In the present work, high-resolution digital images have been acquired with an unmanned aerial vehicle (UAV) prototype platform on an experimental phenotypi...
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#1Bing Lu (U of T: University of Toronto)H-Index: 8
#2Yuhong He (U of T: University of Toronto)H-Index: 22
Last. Hugh H. T. Liu (U of T: University of Toronto)H-Index: 22
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ABSTRACTRemote-sensing imagery with different spatial resolutions has been widely applied to retrieve vegetation properties in various ecosystems. However, the spatial resolutions of most space-borne or air-borne images (e.g. 2 m) are not fine enough to investigate canopy-level (e.g. 0.5 m) properties, especially in heterogeneous ecosystems (e.g. grasslands, wetlands). Unmanned aerial vehicles (UAVs) as an emerging remote-sensing platform offer a unique ability to acquire imagery at very high sp...
Source
#1Steven E. Franklin (Trent University)H-Index: 60
#2Oumer S. Ahmed (Makivik Corporation)H-Index: 13
ABSTRACTObject-based image analysis and machine-learning classification were applied to multispectral camera array data acquired by a small rotating blade unmanned aerial vehicle (UAV) over a hardwood forest in eastern Ontario. White birch, aspen, and two species of maple were surveyed in the field. Images were segmented and the resulting objects were visually confirmed to correspond with the sampled tree crowns. Following the application of machine-learning classification using the Random Fores...
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#1Xun Zhou (BNU: Beijing Normal University)H-Index: 1
#2Zhongping Sun (BNU: Beijing Normal University)H-Index: 1
Last. Yuebin Wang (BNU: Beijing Normal University)H-Index: 12
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ABSTRACTThe leaf litter layer is an important surface coverage in the forest ecosystem, which imposes an important influence on soil and water conservation and affects the soil physical and chemical characteristics as well as the ecological environment. It is also a significant factor in estimating vegetation coverage. Currently, most remote-sensing methods to obtain leaf litter target are based on the analysis of the spectral features. However, the leaf litter and the soil background are easily...
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#1Christopher D. Lippitt (UNM: University of New Mexico)H-Index: 14
#2Su Zhang (UNM: University of New Mexico)H-Index: 7
ABSTRACTUnmanned airborne systems (UAS), particularly the class of UAS referred to as small-unmanned airborne systems (S-UAS), have the potential to revolutionize the science, practice, and role of remote sensing. S-UAS-collected remote sensing data differ from that acquired from larger airborne and space-borne platforms in myriad ways. To provide an indication of the novel remote sensing capabilities that S-UAS are poised to enable and identify research priorities for realizing the full potenti...
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Cited By10
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#1Per-Ola OlssonH-Index: 11
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Unmanned aerial systems (UAS) carrying commercially sold multispectral sensors equipped with a sunshine sensor, such as Parrot Sequoia, enable mapping of vegetation at high spatial resolution with a large degree of flexibility in planning data collection. It is, however, a challenge to perform radiometric correction of the images to create reflectance maps (orthomosaics with surface reflectance) and to compute vegetation indices with sufficient accuracy to enable comparisons between data collect...
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#1Vahid Nasiri (UT: University of Tehran)H-Index: 5
#2A A Darvishsefat (UT: University of Tehran)H-Index: 14
Last. Arnaud Le Bris (Institut géographique national)H-Index: 5
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Tree height and crown diameter are two common individual tree attributes that can be estimated from Unmanned Aerial Vehicles (UAVs) images thanks to photogrammetry and structure from motion. This r...
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#1Sara Denka Durgan (FAU: Florida Atlantic University)H-Index: 3
#2Caiyun Zhang (FAU: Florida Atlantic University)H-Index: 17
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Understanding the impacts of flight configuration and post-mission data processing techniques on unmanned aircraft system (UAS) photogrammetric data quality is essential for employing this popular ...
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#1Elizabeth M. PriorH-Index: 1
#2F. C. O'DonnellH-Index: 12
Last. Stephanie L. ShepherdH-Index: 5
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Due to land development, high concentrations of suspended sediment are produced from erosion after rain events. Sediment basins are commonly used for the settlement of suspended sediments before discharge. Stormwater regulations may require frequent sampling and monitoring of these basins, both of which are time and labor intensive. Potential remedies are small, unoccupied aerial systems (sUAS). The goal of this study was to demonstrate whether sUAS multispectral imagery could measure high level...
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#1Joshua G. CohenH-Index: 1
#2Matthew J. Lewis (The Aerospace Corporation)H-Index: 3
We present a novel method for rapidly and precisely monitoring invasive plant species within rare and Great Lakes endemic coastal ecosystems. Our monitoring platform comprises: 1) an Uncrewed Aerial System capable of collecting high-resolution imagery in a precise and repeatable manner; 2) software enabling ecologists to annotate this imagery to identity invasive plant species of interest; 3) neural network–based algorithms for identifying targeted invasive plant species in the images; and 4) so...
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#1Iain Sheridan (SPRI: Scott Polar Research Institute)H-Index: 1
Aerial unmanned vehicles, so-called drones, present a paradigm shift away from the long-term use by scientists of manned aeroplanes and helicopters. This is evident from the number of research arti...
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#1Elizabeth M. Prior (AU: Auburn University)H-Index: 1
#2Kelly Brumbelow (A&M: Texas A&M University)H-Index: 14
Last. Gretchen R. Miller (A&M: Texas A&M University)H-Index: 13
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#1Matjaž Nekrep Perc (University of Maribor)H-Index: 3
#2Giuseppe T. Cirella (University of Gdańsk)H-Index: 10
Within small-sized areas, one of the most time and cost-effective remote sensing techniques for evaluating green infrastructure is unmanned aerial systems (UAS) in conjunction with optical imagery indices. In terms of urban sustainability, this approach can be applicable when, otherwise, expensive or up-to-date imagery is unavailable. This chapter illustrates the use of UAS as an adjunct to best urban planning practice and landscape infrastructural design and pieces together an environmental app...
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#2Riccardo DainelliH-Index: 6
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#1James S. Aber (ESU: Emporia State University)H-Index: 13
Abstract Unmanned aerial systems (UAS), also called unmanned aerial vehicles (UAVs), remotely piloted aircraft systems (RPAS) or drones, have become the prevalent means of taking SFAP from low heights in the geosciences as well as in many other geospatial applications and research disciplines. This chapter gives a comprehensive overview of fixed-wing, multirotor, and hybrid VTOL UAS of the micro and mini categories as well as their common components. Characteristics of flight-control systems and...
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