Open-Source Processing and Analysis of Aerial Imagery Acquired with a Low-Cost Unmanned Aerial System to Support Invasive Plant Management

Remote sensing by Unmanned Aerial Systems (UAS) is a dynamic evolving technology. UAS are particularly useful in environmental monitoring and management because they have the capability to provide data at high temporal and spatial resolutions. Moreover, data acquisition costs are lower than those of...

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Main Authors: Jan R. K. Lehmann, Torsten Prinz, Silvia R. Ziller, Jan Thiele, Gustavo Heringer, João A. A. Meira-Neto, Tillmann K. Buttschardt
Format: Article
Language:English
Published: Frontiers Media S.A. 2017-07-01
Series:Frontiers in Environmental Science
Subjects:
Online Access:http://journal.frontiersin.org/article/10.3389/fenvs.2017.00044/full
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spelling doaj-d4d570d9e1b946b4ace5324121c344da2020-11-24T23:16:17ZengFrontiers Media S.A.Frontiers in Environmental Science2296-665X2017-07-01510.3389/fenvs.2017.00044266036Open-Source Processing and Analysis of Aerial Imagery Acquired with a Low-Cost Unmanned Aerial System to Support Invasive Plant ManagementJan R. K. Lehmann0Torsten Prinz1Silvia R. Ziller2Jan Thiele3Gustavo Heringer4João A. A. Meira-Neto5Tillmann K. Buttschardt6Institute of Landscape Ecology, University of MuensterMuenster, GermanyInstitute for Geoinformatics, University of MuensterMuenster, GermanyThe Horus Institute for Environmental Conservation and DevelopmentFlorianópolis, BrazilInstitute of Landscape Ecology, University of MuensterMuenster, GermanyLaboratory of Ecology and Evolution of Plants, Universidade Federal de ViçosaViçosa, BrazilLaboratory of Ecology and Evolution of Plants, Universidade Federal de ViçosaViçosa, BrazilInstitute of Landscape Ecology, University of MuensterMuenster, GermanyRemote sensing by Unmanned Aerial Systems (UAS) is a dynamic evolving technology. UAS are particularly useful in environmental monitoring and management because they have the capability to provide data at high temporal and spatial resolutions. Moreover, data acquisition costs are lower than those of conventional methods such as extensive ground sampling, manned airplanes, or satellites. Small fixed-wing UAS in particular offer further potential benefits as they extend the operational coverage of the area under study at lower operator risks and accelerate data deployment times. Taking these aspects into account, UAS might be an effective tool to support management of invasive plant based on early detection and regular monitoring. A straightforward UAS approach to map invasive plant species is presented in this study with the intention of providing ready-to-use field maps essential for action-oriented management. Our UAS utilizes low-cost sensors, free-of-charge software for mission planning and an affordable, commercial aerial platform to reduce operational costs, reducing expenses with personnel while increasing overall efficiency. We illustrate our approach using a real example of invasion by Acacia mangium in a Brazilian Savanna ecosystem. A. mangium was correctly identified with an overall accuracy of 82.7% from the analysis of imagery. This approach provides land management authorities and practitioners with new prospects for environmental restoration in areas where invasive plant species are present.http://journal.frontiersin.org/article/10.3389/fenvs.2017.00044/fullAcacia mangiumdroneinvasive alien speciesMussunungaRPASremote sensing
collection DOAJ
language English
format Article
sources DOAJ
author Jan R. K. Lehmann
Torsten Prinz
Silvia R. Ziller
Jan Thiele
Gustavo Heringer
João A. A. Meira-Neto
Tillmann K. Buttschardt
spellingShingle Jan R. K. Lehmann
Torsten Prinz
Silvia R. Ziller
Jan Thiele
Gustavo Heringer
João A. A. Meira-Neto
Tillmann K. Buttschardt
Open-Source Processing and Analysis of Aerial Imagery Acquired with a Low-Cost Unmanned Aerial System to Support Invasive Plant Management
Frontiers in Environmental Science
Acacia mangium
drone
invasive alien species
Mussununga
RPAS
remote sensing
author_facet Jan R. K. Lehmann
Torsten Prinz
Silvia R. Ziller
Jan Thiele
Gustavo Heringer
João A. A. Meira-Neto
Tillmann K. Buttschardt
author_sort Jan R. K. Lehmann
title Open-Source Processing and Analysis of Aerial Imagery Acquired with a Low-Cost Unmanned Aerial System to Support Invasive Plant Management
title_short Open-Source Processing and Analysis of Aerial Imagery Acquired with a Low-Cost Unmanned Aerial System to Support Invasive Plant Management
title_full Open-Source Processing and Analysis of Aerial Imagery Acquired with a Low-Cost Unmanned Aerial System to Support Invasive Plant Management
title_fullStr Open-Source Processing and Analysis of Aerial Imagery Acquired with a Low-Cost Unmanned Aerial System to Support Invasive Plant Management
title_full_unstemmed Open-Source Processing and Analysis of Aerial Imagery Acquired with a Low-Cost Unmanned Aerial System to Support Invasive Plant Management
title_sort open-source processing and analysis of aerial imagery acquired with a low-cost unmanned aerial system to support invasive plant management
publisher Frontiers Media S.A.
series Frontiers in Environmental Science
issn 2296-665X
publishDate 2017-07-01
description Remote sensing by Unmanned Aerial Systems (UAS) is a dynamic evolving technology. UAS are particularly useful in environmental monitoring and management because they have the capability to provide data at high temporal and spatial resolutions. Moreover, data acquisition costs are lower than those of conventional methods such as extensive ground sampling, manned airplanes, or satellites. Small fixed-wing UAS in particular offer further potential benefits as they extend the operational coverage of the area under study at lower operator risks and accelerate data deployment times. Taking these aspects into account, UAS might be an effective tool to support management of invasive plant based on early detection and regular monitoring. A straightforward UAS approach to map invasive plant species is presented in this study with the intention of providing ready-to-use field maps essential for action-oriented management. Our UAS utilizes low-cost sensors, free-of-charge software for mission planning and an affordable, commercial aerial platform to reduce operational costs, reducing expenses with personnel while increasing overall efficiency. We illustrate our approach using a real example of invasion by Acacia mangium in a Brazilian Savanna ecosystem. A. mangium was correctly identified with an overall accuracy of 82.7% from the analysis of imagery. This approach provides land management authorities and practitioners with new prospects for environmental restoration in areas where invasive plant species are present.
topic Acacia mangium
drone
invasive alien species
Mussununga
RPAS
remote sensing
url http://journal.frontiersin.org/article/10.3389/fenvs.2017.00044/full
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