Riverine plastic litter monitoring using unmanned aerial vehicles (UAVs)

Plastic debris has become an abundant pollutant in marine, coastal and riverine environments, posing a large threat to aquatic life. Effective measures to mitigate and prevent marine plastic pollution require a thorough understanding of its origin and eventual fate. Several models have estimated tha...

Full description

Saved in:
Bibliographic Details
Main Authors: Geraeds, Marlein, van Emmerik, Tim, de Vries, Robin, Ab Razak, Mohd Shahrizal
Format: Article
Language:English
Published: MDPI 2019
Online Access:http://psasir.upm.edu.my/id/eprint/38274/1/38274.pdf
http://psasir.upm.edu.my/id/eprint/38274/
https://www.mdpi.com/2072-4292/11/17/2045
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Putra Malaysia
Language: English
id my.upm.eprints.38274
record_format eprints
spelling my.upm.eprints.382742020-05-04T16:10:50Z http://psasir.upm.edu.my/id/eprint/38274/ Riverine plastic litter monitoring using unmanned aerial vehicles (UAVs) Geraeds, Marlein van Emmerik, Tim de Vries, Robin Ab Razak, Mohd Shahrizal Plastic debris has become an abundant pollutant in marine, coastal and riverine environments, posing a large threat to aquatic life. Effective measures to mitigate and prevent marine plastic pollution require a thorough understanding of its origin and eventual fate. Several models have estimated that land-based sources are the main source of marine plastic pollution, although field data to substantiate these estimates remain limited. Current methodologies to measure riverine plastic transport require the availability of infrastructure and accessible riverbanks, but, to obtain measurements on a higher spatial and temporal scale, new monitoring methods are required. This paper presents a new methodology for quantifying riverine plastic debris using Unmanned Aerial Vehicles (UAVs), including a first application on Klang River, Malaysia. Additional plastic measurements were done in parallel with the UAV-based approach to make comparisons between the two methods. The spatiotemporal distribution of the plastics obtained with both methods show similar patterns and variations. With this, we show that UAV-based monitoring methods are a promising alternative for currently available approaches for monitoring riverine plastic transport, especially in remote and inaccessible areas. MDPI 2019 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/38274/1/38274.pdf Geraeds, Marlein and van Emmerik, Tim and de Vries, Robin and Ab Razak, Mohd Shahrizal (2019) Riverine plastic litter monitoring using unmanned aerial vehicles (UAVs). Remote Sensing, 11 (17). art. no. 2045. pp. 1-18. ISSN 2072-4292 https://www.mdpi.com/2072-4292/11/17/2045 10.3390/rs11172045
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Plastic debris has become an abundant pollutant in marine, coastal and riverine environments, posing a large threat to aquatic life. Effective measures to mitigate and prevent marine plastic pollution require a thorough understanding of its origin and eventual fate. Several models have estimated that land-based sources are the main source of marine plastic pollution, although field data to substantiate these estimates remain limited. Current methodologies to measure riverine plastic transport require the availability of infrastructure and accessible riverbanks, but, to obtain measurements on a higher spatial and temporal scale, new monitoring methods are required. This paper presents a new methodology for quantifying riverine plastic debris using Unmanned Aerial Vehicles (UAVs), including a first application on Klang River, Malaysia. Additional plastic measurements were done in parallel with the UAV-based approach to make comparisons between the two methods. The spatiotemporal distribution of the plastics obtained with both methods show similar patterns and variations. With this, we show that UAV-based monitoring methods are a promising alternative for currently available approaches for monitoring riverine plastic transport, especially in remote and inaccessible areas.
format Article
author Geraeds, Marlein
van Emmerik, Tim
de Vries, Robin
Ab Razak, Mohd Shahrizal
spellingShingle Geraeds, Marlein
van Emmerik, Tim
de Vries, Robin
Ab Razak, Mohd Shahrizal
Riverine plastic litter monitoring using unmanned aerial vehicles (UAVs)
author_facet Geraeds, Marlein
van Emmerik, Tim
de Vries, Robin
Ab Razak, Mohd Shahrizal
author_sort Geraeds, Marlein
title Riverine plastic litter monitoring using unmanned aerial vehicles (UAVs)
title_short Riverine plastic litter monitoring using unmanned aerial vehicles (UAVs)
title_full Riverine plastic litter monitoring using unmanned aerial vehicles (UAVs)
title_fullStr Riverine plastic litter monitoring using unmanned aerial vehicles (UAVs)
title_full_unstemmed Riverine plastic litter monitoring using unmanned aerial vehicles (UAVs)
title_sort riverine plastic litter monitoring using unmanned aerial vehicles (uavs)
publisher MDPI
publishDate 2019
url http://psasir.upm.edu.my/id/eprint/38274/1/38274.pdf
http://psasir.upm.edu.my/id/eprint/38274/
https://www.mdpi.com/2072-4292/11/17/2045
_version_ 1665895970485829632