23.5.10 Plastic Litter, Ocean Plastic, Beach Litter

Chapter Contents (Back)
Plastic Litter. Debris. Greenhouses and plastic mulch:
See also Greenhouse Detection, Plastic Mulch Detection and Analysis.

Geraeds, M.[Marlein], van Emmerik, T.[Tim], de Vries, R.[Robin], bin Ab Razak, M.S.[Mohd Shahrizal],
Riverine Plastic Litter Monitoring Using Unmanned Aerial Vehicles (UAVs),
RS(11), No. 17, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Goddijn-Murphy, L.[Lonneke], Williamson, B.[Benjamin],
On Thermal Infrared Remote Sensing of Plastic Pollution in Natural Waters,
RS(11), No. 18, 2019, pp. xx-yy.
DOI Link 1909
BibRef
And: Correction: RS(12), No. 21, 2020, pp. xx-yy.
DOI Link 2011
BibRef

Martínez-Vicente, V.[Víctor], Clark, J.R.[James R.], Corradi, P.[Paolo], Aliani, S.[Stefano], Arias, M.[Manuel], Bochow, M.[Mathias], Bonnery, G.[Guillaume], Cole, M.[Matthew], Cózar, A.[Andrés], Donnelly, R.[Rory], Echevarría, F.[Fidel], Galgani, F.[François], Garaba, S.P.[Shungudzemwoyo P.], Goddijn-Murphy, L.[Lonneke], Lebreton, L.[Laurent], Leslie, H.A.[Heather A.], Lindeque, P.K.[Penelope K.], Maximenko, N.[Nikolai], Martin-Lauzer, F.R.[François-Régis], Moller, D.[Delwyn], Murphy, P.[Peter], Palombi, L.[Lorenzo], Raimondi, V.[Valentina], Reisser, J.[Julia], Romero, L.[Laia], Simis, S.G.H.[Stefan G.H.], Sterckx, S.[Sindy], Thompson, R.C.[Richard C.], Topouzelis, K.N.[Konstantinos N.], van Sebille, E.[Erik], Veiga, J.M.[Joana Mira], Vethaak, A.D.[A. Dick],
Measuring Marine Plastic Debris from Space: Initial Assessment of Observation Requirements,
RS(11), No. 20, 2019, pp. xx-yy.
DOI Link 1910
BibRef

Kikaki, A.[Aikaterini], Karantzalos, K.[Konstantinos], Power, C.A.[Caroline A.], Raitsos, D.E.[Dionysios E.],
Remotely Sensing the Source and Transport of Marine Plastic Debris in Bay Islands of Honduras (Caribbean Sea),
RS(12), No. 11, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Topouzelis, K.[Konstantinos], Papageorgiou, D.[Dimitris], Karagaitanakis, A.[Alexandros], Papakonstantinou, A.[Apostolos], Ballesteros, M.A.[Manuel Arias],
Remote Sensing of Sea Surface Artificial Floating Plastic Targets with Sentinel-2 and Unmanned Aerial Systems (Plastic Litter Project 2019),
RS(12), No. 12, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Themistocleous, K.[Kyriacos], Papoutsa, C.[Christiana], Michaelides, S.[Silas], Hadjimitsis, D.[Diofantos],
Investigating Detection of Floating Plastic Litter from Space Using Sentinel-2 Imagery,
RS(12), No. 16, 2020, pp. xx-yy.
DOI Link 2008
BibRef

Gonçalves, G.[Gil], Andriolo, U.[Umberto], Gonçalves, L.[Luísa], Sobral, P.[Paula], Bessa, F.[Filipa],
Quantifying Marine Macro Litter Abundance on a Sandy Beach Using Unmanned Aerial Systems and Object-Oriented Machine Learning Methods,
RS(12), No. 16, 2020, pp. xx-yy.
DOI Link 2008
BibRef

Merlino, S.[Silvia], Paterni, M.[Marco], Berton, A.[Andrea], Massetti, L.[Luciano],
Unmanned Aerial Vehicles for Debris Survey in Coastal Areas: Long-Term Monitoring Programme to Study Spatial and Temporal Accumulation of the Dynamics of Beached Marine Litter,
RS(12), No. 8, 2020, pp. xx-yy.
DOI Link 2004
Marine Litter. BibRef

Page, R.[Robert], Lavender, S.[Samantha], Thomas, D.[Dean], Berry, K.[Katie], Stevens, S.[Susan], Haq, M.[Mohammed], Udugbezi, E.[Emmanuel], Fowler, G.[Gillian], Best, J.[Jennifer], Brockie, I.[Iain],
Identification of Tyre and Plastic Waste from Combined Copernicus Sentinel-1 and -2 Data,
RS(12), No. 17, 2020, pp. xx-yy.
DOI Link 2009
BibRef

Guo, X.Y.[Xiao-Ye], Li, P.J.[Pei-Jun],
Mapping plastic materials in an urban area: Development of the normalized difference plastic index using WorldView-3 superspectral data,
PandRS(169), 2020, pp. 214-226.
Elsevier DOI 2011
WorldView-3 data, Urban land cover, Plastic materials, Normalized Difference Plastic Index (NDPI) BibRef

Kraft, M.[Marek], Piechocki, M.[Mateusz], Ptak, B.[Bartosz], Walas, K.[Krzysztof],
Autonomous, Onboard Vision-Based Trash and Litter Detection in Low Altitude Aerial Images Collected by an Unmanned Aerial Vehicle,
RS(13), No. 5, 2021, pp. xx-yy.
DOI Link 2103
BibRef

Balsi, M.[Marco], Moroni, M.[Monica], Chiarabini, V.[Valter], Tanda, G.[Giovanni],
High-Resolution Aerial Detection of Marine Plastic Litter by Hyperspectral Sensing,
RS(13), No. 8, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Tasseron, P.[Paolo], van Emmerik, T.[Tim], Peller, J.[Joseph], Schreyers, L.[Louise], Biermann, L.[Lauren],
Advancing Floating Macroplastic Detection from Space Using Experimental Hyperspectral Imagery,
RS(13), No. 12, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Freitas, S.[Sara], Silva, H.[Hugo], Silva, E.[Eduardo],
Remote Hyperspectral Imaging Acquisition and Characterization for Marine Litter Detection,
RS(13), No. 13, 2021, pp. xx-yy.
DOI Link 2107
BibRef

Freitas, S.[Sara], Silva, H.[Hugo], Silva, E.[Eduardo],
Hyperspectral Imaging Zero-Shot Learning for Remote Marine Litter Detection and Classification,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Sakti, A.D.[Anjar Dimara], Rinasti, A.N.[Aprilia Nidia], Agustina, E.[Elprida], Diastomo, H.[Hanif], Muhammad, F.[Fickrie], Anna, Z.[Zuzy], Wikantika, K.[Ketut],
Multi-Scenario Model of Plastic Waste Accumulation Potential in Indonesia Using Integrated Remote Sensing, Statistic and Socio-Demographic Data,
IJGI(10), No. 7, 2021, pp. xx-yy.
DOI Link 2108
BibRef

Jang, S.[Seohyun], Kim, J.H.[Joo-Hyung], Kim, J.Y.[Jih-Yun],
Detection of Microplastics in Water and Ice,
RS(13), No. 17, 2021, pp. xx-yy.
DOI Link 2109
BibRef

de Vries, R.[Robin], Egger, M.[Matthias], Mani, T.[Thomas], Lebreton, L.[Laurent],
Quantifying Floating Plastic Debris at Sea Using Vessel-Based Optical Data and Artificial Intelligence,
RS(13), No. 17, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Kong, S.H.[Shi-Han], Tian, M.J.[Man-Jun], Qiu, C.L.[Chang-Lin], Wu, Z.X.[Zheng-Xing], Yu, J.Z.[Jun-Zhi],
IWSCR: An Intelligent Water Surface Cleaner Robot for Collecting Floating Garbage,
SMCS(51), No. 10, October 2021, pp. 6358-6368.
IEEE DOI 2109
Grasping, Robots, Surface cleaning, Object detection, Vehicle dynamics, Task analysis, Sea surface, Deep learning, sliding-mode controller (SMC) BibRef

Guffogg, J.A.[Jenna A.], Blades, S.M.[Samantha M.], Soto-Berelov, M.[Mariela], Bellman, C.J.[Chris J.], Skidmore, A.K.[Andrew K.], Jones, S.D.[Simon D.],
Quantifying Marine Plastic Debris in a Beach Environment Using Spectral Analysis,
RS(13), No. 22, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Singh, D.[Deepak], Valdenegro-Toro, M.[Matias],
The Marine Debris Dataset for Forward-Looking Sonar Semantic Segmentation,
OceanVision21(3734-3742)
IEEE DOI 2112
Image segmentation, Computational modeling, Semantics, Sonar, Computer architecture BibRef

Song, S.L.[Shi-Lin], Sakuno, Y.J.[Yu-Ji], Taniguchi, N.[Naokazu], Iwashita, H.[Hidetsugu],
Reproduction of the Marine Debris Distribution in the Seto Inland Sea Immediately after the July 2018 Heavy Rains in Western Japan Using Multidate Landsat-8 Data,
RS(13), No. 24, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Andriolo, U.[Umberto], Garcia-Garin, O.[Odei], Vighi, M.[Morgana], Borrell, A.[Asunción], Gonçalves, G.[Gil],
Beached and Floating Litter Surveys by Unmanned Aerial Vehicles: Operational Analogies and Differences,
RS(14), No. 6, 2022, pp. xx-yy.
DOI Link 2204
BibRef

Ciappa, A.C.[Achille Carlo],
Marine Litter Detection by Sentinel-2: A Case Study in North Adriatic (Summer 2020),
RS(14), No. 10, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Maharjan, N.[Nisha], Miyazaki, H.[Hiroyuki], Pati, B.M.[Bipun Man], Dailey, M.N.[Matthew N.], Shrestha, S.[Sangam], Nakamura, T.[Tai],
Detection of River Plastic Using UAV Sensor Data and Deep Learning,
RS(14), No. 13, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Goddijn-Murphy, L.[Lonneke], Williamson, B.J.[Benjamin J.], McIlvenny, J.[Jason], Corradi, P.[Paolo],
Using a UAV Thermal Infrared Camera for Monitoring Floating Marine Plastic Litter,
RS(14), No. 13, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Armitage, S.[Sophie], Awty-Carroll, K.[Katie], Clewley, D.[Daniel], Martinez-Vicente, V.[Victor],
Detection and Classification of Floating Plastic Litter Using a Vessel-Mounted Video Camera and Deep Learning,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Taggio, N.[Nicolò], Aiello, A.[Antonello], Ceriola, G.[Giulio], Kremezi, M.[Maria], Kristollari, V.[Viktoria], Kolokoussis, P.[Polychronis], Karathanassi, V.[Vassilia], Barbone, E.[Enrico],
A Combination of Machine Learning Algorithms for Marine Plastic Litter Detection Exploiting Hyperspectral PRISMA Data,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Simpson, M.D.[Morgan David], Marino, A.[Armando], de Maagt, P.[Peter], Gandini, E.[Erio], Hunter, P.[Peter], Spyrakos, E.[Evangelos], Tyler, A.[Andrew], Telfer, T.[Trevor],
Monitoring of Plastic Islands in River Environment Using Sentinel-1 SAR Data,
RS(14), No. 18, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Qiao, G.C.[Guang-Chao], Yang, M.X.[Ming-Xiang], Wang, H.[Hao],
A Detection Approach for Floating Debris Using Ground Images Based on Deep Learning,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Lavender, S.[Samantha],
Detection of Waste Plastics in the Environment: Application of Copernicus Earth Observation Data,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210
BibRef

Iordache, M.D.[Marian-Daniel], de Keukelaere, L.[Liesbeth], Moelans, R.[Robrecht], Landuyt, L.[Lisa], Moshtaghi, M.[Mehrdad], Corradi, P.[Paolo], Knaeps, E.[Els],
Targeting Plastics: Machine Learning Applied to Litter Detection in Aerial Multispectral Images,
RS(14), No. 22, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Papageorgiou, D.[Dimitris], Topouzelis, K.[Konstantinos], Suaria, G.[Giuseppe], Aliani, S.[Stefano], Corradi, P.[Paolo],
Sentinel-2 Detection of Floating Marine Litter Targets with Partial Spectral Unmixing and Spectral Comparison with Other Floating Materials (Plastic Litter Project 2021),
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Palombi, L.[Lorenzo], Raimondi, V.[Valentina],
Experimental Tests for Fluorescence LIDAR Remote Sensing of Submerged Plastic Marine Litter,
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Nagy, M.[Manon], Istrate, L.[Luca], Simtinica, M.[Matei], Travadel, S.[Sébastien], Blanc, P.[Philippe],
Automatic Detection of Marine Litter: A General Framework to Leverage Synthetic Data,
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Kong, S.H.[Shi-Han], Wu, Z.X.[Zheng-Xing], Qiu, C.[Changlin], Tian, M.[Manjun], Yu, J.Z.[Jun-Zhi],
An FM*-Based Comprehensive Path Planning System for Robotic Floating Garbage Cleaning,
ITS(23), No. 12, December 2022, pp. 23821-23830.
IEEE DOI 2212
Task analysis, Resource management, Cleaning, Path planning, Robots, Measurement, Planning, Autonomous vehicles, path planning, replanning BibRef

Almeida, S.[Sílvia], Radeta, M.[Marko], Kataoka, T.[Tomoya], Canning-Clode, J.[João], Pais, M.P.[Miguel Pessanha], Freitas, R.[Rúben], Monteiro, J.G.[João Gama],
Designing Unmanned Aerial Survey Monitoring Program to Assess Floating Litter Contamination,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link 2301
BibRef

Gonga, A.[Amadeu], Pérez-Portero, A.[Adrián], Camps, A.[Adriano], Pascual, D.[Daniel], de Fockert, A.[Anton], de Maagt, P.[Peter],
GNSS-R Observations of Marine Plastic Litter in a Water Flume: An Experimental Study,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link 2302
BibRef

Simpson, M.D.[Morgan David], Marino, A.[Armando], de Maagt, P.[Peter], Gandini, E.[Erio], de Fockert, A.[Anton], Hunter, P.[Peter], Spyrakos, E.[Evangelos], Telfer, T.[Trevor], Tyler, A.[Andrew],
Investigating the Backscatter of Marine Plastic Litter Using a C- and X-Band Ground Radar, during a Measurement Campaign in Deltares,
RS(15), No. 6, 2023, pp. 1654.
DOI Link 2304
BibRef

Sánchez-Ferrer, A.[Alejandro], Valero-Mas, J.J.[Jose J.], Gallego, A.J.[Antonio Javier], Calvo-Zaragoza, J.[Jorge],
An experimental study on marine debris location and recognition using object detection,
PRL(168), 2023, pp. 154-161.
Elsevier DOI 2304
Underwater debris detection, Marine pollution, Deep neural networks, Object detection BibRef

Schmidt, T.[Toni], Kuester, T.[Theres], Smith, T.[Taylor], Bochow, M.[Mathias],
Potential of Optical Spaceborne Sensors for the Differentiation of Plastics in the Environment,
RS(15), No. 8, 2023, pp. 2020.
DOI Link 2305
BibRef

Alboody, A.[Ahed], Vandenbroucke, N.[Nicolas], Porebski, A.[Alice], Sawan, R.[Rosa], Viudes, F.[Florence], Doyen, P.[Perine], Amara, R.[Rachid],
A New Remote Hyperspectral Imaging System Embedded on an Unmanned Aquatic Drone for the Detection and Identification of Floating Plastic Litter Using Machine Learning,
RS(15), No. 14, 2023, pp. 3455.
DOI Link 2307
BibRef

Olyaei, M.[Mohammadali], Ebtehaj, A.[Ardeshir],
Uncovering Plastic Litter Spectral Signatures: A Comparative Study of Hyperspectral Band Selection Algorithms,
RS(16), No. 1, 2024, pp. xx-yy.
DOI Link 2401
BibRef

Kikaki, K.[Katerina], Kakogeorgiou, I.[Ioannis], Hoteit, I.[Ibrahim], Karantzalos, K.[Konstantinos],
Detecting Marine pollutants and Sea Surface features with Deep learning in Sentinel-2 imagery,
PandRS(210), 2024, pp. 39-54.
Elsevier DOI Code:
WWW Link. 2404
Sentinel-2, Deep Learning, Benchmark, Data Augmentation, Marine Pollution, Marine Debris, Oil Spill BibRef

Goddijn-Murphy, L.[Lonneke], Martínez-Vicente, V.[Victor], Dierssen, H.M.[Heidi M.], Raimondi, V.[Valentina], Gandini, E.[Erio], Foster, R.[Robert], Chirayath, V.[Ved],
Emerging Technologies for Remote Sensing of Floating and Submerged Plastic Litter,
RS(16), No. 10, 2024, pp. 1770.
DOI Link 2405
BibRef


Barra, P.[Paola], Citarella, A.A.[Alessia Auriemma], Orefice, G.[Giosué], Castrillón-Santana, M.[Modesto], Ciaramella, A.[Angelo],
LOTS: Litter On The Sand dataset for litter segmentation,
MVA23(1-4)
DOI Link 2403
Photography, Image segmentation, Image resolution, Ecosystems, Virtual environments, Object segmentation, Search problems BibRef

Islam, A.[Ariful], Dongshik, K.[Kang],
Marine Debris Detection Model with Custom Dataset Using Instance Segmentation,
ICCVMI23(1-5)
IEEE DOI 2403
Instance segmentation, Annotations, Computational modeling, Transfer learning, Object detection, SIFT matching BibRef

Cacace, T.[Teresa], Del-Coco, M.[Marco], Carcagnì, P.[Pierluigi], Cocca, M.[Mariacristina], Paturzo, M.[Melania], Distante, C.[Cosimo],
HMPD: A Novel Dataset for Microplastics Classification with Digital Holography,
CIAP23(II:123-133).
Springer DOI 2312
BibRef

Martinez, G.[Guillem], Aghaei, M.[Maya], Dijkstra, M.[Martin], Nagarajan, B.[Bhalaji], Jaarsma, F.[Femke], van de Loosdrecht, J.[Jaap], Radeva, P.[Petia], Dijkstra, K.[Klaas],
Hyper-Spectral Imaging for Overlapping Plastic Flakes Segmentation,
ICIP22(2331-2335)
IEEE DOI 2211
Image segmentation, Image coding, Imaging, Grasping, Predictive models, Plastics, Polymers, Hyper-spectral imaging, bitfield encoding BibRef

Sánchez-Ferrer, A.[Alejandro], Gallego, A.J.[Antonio Javier], Valero-Mas, J.J.[Jose J.], Calvo-Zaragoza, J.[Jorge],
The CleanSea Set: A Benchmark Corpus for Underwater Debris Detection and Recognition,
IbPRIA22(616-628).
Springer DOI 2205
BibRef

Cheng, Y.W.[Yu-Wei], Zhu, J.N.[Jian-Nan], Jiang, M.X.[Meng-Xin], Fu, J.[Jie], Pang, C.S.[Chang-Song], Wang, P.[Peidong], Sankaran, K.[Kris], Onabola, O.[Olawale], Liu, Y.M.[Yi-Min], Liu, D.[Dianbo], Bengio, Y.[Yoshua],
FloW: A Dataset and Benchmark for Floating Waste Detection in Inland Waters,
ICCV21(10933-10942)
IEEE DOI 2203
Surface cleaning, Sea surface, Annotations, Radar detection, Object detection, Radar imaging, Millimeter wave radar, BibRef

Cortesi, I., Masiero, A., de Giglio, M., Tucci, G., Dubbini, M.,
Random Forest-based River Plastic Detection with a Handheld Multispectral Camera,
ISPRS21(B1-2021: 9-14).
DOI Link 2201
BibRef

Krasniewski, J.[Jakub], Dabala, L.[Lukasz], Lewandowski, M.[Marcin],
Hyperspectral Imaging for Analysis and Classification of Plastic Waste,
ICPR21(4805-4812)
IEEE DOI 2105
Cameras, Real-time systems, Plastics, Object recognition, Wrapping, Task analysis BibRef

Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
Groundwater, Storage, Change, Hydrology, Ground Water .


Last update:May 29, 2024 at 17:34:46