Please use this identifier to cite or link to this item: https://ktisis.cut.ac.cy/handle/10488/19296
Title: Investigating detection of floating plastic litter from space using sentinel-2 imagery
Authors: Themistocleous, Kyriacos 
Papoutsa, Christiana 
Michaelides, Silas 
Hadjimitsis, Diofantos G. 
Major Field of Science: Engineering and Technology
Field Category: Civil Engineering
Keywords: Plastic litter;Remote sensing;Satellite images;Sentinel-2;Spectral indices;Spectroscopy;UAVs
Issue Date: 2-Aug-2020
Source: Remote Sensing, 2020, vol. 12, no. 16, articl. no. 2648
Volume: 12
Issue: 16
Project: ERATOSTHENES: Excellence Research Centre for Earth Surveillance and Space-Based Monitoring of the Environment 
Journal: Remote Sensing 
Abstract: Plastic litter floating in the ocean is a significant problem on a global scale. This study examines whether Sentinel-2 satellite images can be used to identify plastic litter on the sea surface for monitoring, collection and disposal. A pilot study was conducted to determine if plastic targets on the sea surface can be detected using remote sensing techniques with Sentinel-2 data. A target made up of plastic water bottles with a surface measuring 3 m × 10 m was created, which was subsequently placed in the sea near the Old Port in Limassol, Cyprus. An unmanned aerial vehicle (UAV) was used to acquire multispectral aerial images of the area of interest during the same time as the Sentinel-2 satellite overpass. Spectral signatures of the water and the plastic litter after it was placed in the water were taken with an SVC HR1024 spectroradiometer. The study found that the plastic litter target was easiest to detect in the NIR wavelengths. Seven established indices for satellite image processing were examined to determine whether they can identify plastic litter in the water. Further, the authors examined two new indices, the Plastics Index (PI) and the Reversed Normalized Difference Vegetation Index (RNDVI) to be used in the processing of the satellite image. The newly developed Plastic Index (PI) was able to identify plastic objects floating on the water surface and was the most effective index in identifying the plastic litter target in the sea.
URI: https://ktisis.cut.ac.cy/handle/10488/19296
ISSN: 2072-4292
DOI: 10.3390/RS12162648
Rights: © by the authors.
Type: Article
Affiliation : ERATOSTHENES Centre of Excellence 
Cyprus University of Technology 
Appears in Collections:Publications under the auspices of the EXCELSIOR H2020 Teaming Project/ERATOSTHENES Centre of Excellence

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