Detection of Floating Debris in the Lake Using Statistical Properties of Synthetic Aperture Radar Pulses
This study developed the European Space Agency (ESA) Setinel-1 Ground Range Detected (GRD) time series analysis model for monitoring floating debris in lake areas through Google Earth Engine Application Programming Interface. The study aims to monitor floating debris caused by heavy rainfall efficie...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
GeoAI Data Society
2023-09-01
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| Series: | Geo Data |
| Subjects: | |
| Online Access: | http://geodata.kr/upload/pdf/GD-2023-0032.pdf |
| _version_ | 1797659486259773440 |
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| author | Donghyeon Yoon Ha-eun Yu Moung-Jin Lee |
| author_facet | Donghyeon Yoon Ha-eun Yu Moung-Jin Lee |
| author_sort | Donghyeon Yoon |
| collection | DOAJ |
| description | This study developed the European Space Agency (ESA) Setinel-1 Ground Range Detected (GRD) time series analysis model for monitoring floating debris in lake areas through Google Earth Engine Application Programming Interface. The study aims to monitor floating debris caused by heavy rainfall efficiently. Regarding water resources and water quality management, floating debris from multipurpose dams requires continuous monitoring from the initial generation stage. In the study, a Synthetic Aperture Radar (SAR) time series analysis model that is easy to identify water bodies was developed due to low accessibility in large areas. Although SAR satellite images could be used to observe inland water environments, debris detection on water surface surfaces has yet to be studied. For the first time, this study detected floating debris patches in a wide range of lakes from GRD imagery acquired by ESA’s Sentinel-1 satellite. It demonstrated the potential to distinguish them from naturally occurring materials such as invasive floating plants. In this study, the case of Daecheong Dam, in which predicted floating debris was detected after heavy rain using Sentinel-1 GRD data, is presented. It could quickly detect various floating debris flowing into dams used as a source of drinking water and serve as a reference for establishing a collection plan. |
| first_indexed | 2024-03-11T18:14:48Z |
| format | Article |
| id | doaj.art-064083afd2aa4722a87761368ea63705 |
| institution | Directory Open Access Journal |
| issn | 2713-5004 |
| language | English |
| last_indexed | 2024-03-11T18:14:48Z |
| publishDate | 2023-09-01 |
| publisher | GeoAI Data Society |
| record_format | Article |
| series | Geo Data |
| spelling | doaj.art-064083afd2aa4722a87761368ea637052023-10-16T07:52:32ZengGeoAI Data SocietyGeo Data2713-50042023-09-015318519410.22761/GD.2023.003296Detection of Floating Debris in the Lake Using Statistical Properties of Synthetic Aperture Radar PulsesDonghyeon Yoon0Ha-eun Yu1Moung-Jin Lee2Chef Researcher, Intelligent Unmanned Aerial Research Center, Satellite Application Research Center, Future Innovation Institute, Seoul National University, 173 Seouldaehak-ro, Siheung, 15011 Gyeonggi-do, South KoreaResercher, Division for Environmental Planning, Water and Land Research Group, Korea Environment Institute (KEI), Korea Environment Institute Bldg B, 370 Sicheong-daero, 30147 Sejong, South KoreaSenior Research Fellow, Division for Environmental Planning, Water and Land Research Group, Korea Environment Institute (KEI), Korea Environment Institute Bldg B, 370 Sicheong-daero, 30147 Sejong, South KoreaThis study developed the European Space Agency (ESA) Setinel-1 Ground Range Detected (GRD) time series analysis model for monitoring floating debris in lake areas through Google Earth Engine Application Programming Interface. The study aims to monitor floating debris caused by heavy rainfall efficiently. Regarding water resources and water quality management, floating debris from multipurpose dams requires continuous monitoring from the initial generation stage. In the study, a Synthetic Aperture Radar (SAR) time series analysis model that is easy to identify water bodies was developed due to low accessibility in large areas. Although SAR satellite images could be used to observe inland water environments, debris detection on water surface surfaces has yet to be studied. For the first time, this study detected floating debris patches in a wide range of lakes from GRD imagery acquired by ESA’s Sentinel-1 satellite. It demonstrated the potential to distinguish them from naturally occurring materials such as invasive floating plants. In this study, the case of Daecheong Dam, in which predicted floating debris was detected after heavy rain using Sentinel-1 GRD data, is presented. It could quickly detect various floating debris flowing into dams used as a source of drinking water and serve as a reference for establishing a collection plan.http://geodata.kr/upload/pdf/GD-2023-0032.pdfsarsentinel-1floating debrisacd |
| spellingShingle | Donghyeon Yoon Ha-eun Yu Moung-Jin Lee Detection of Floating Debris in the Lake Using Statistical Properties of Synthetic Aperture Radar Pulses Geo Data sar sentinel-1 floating debris acd |
| title | Detection of Floating Debris in the Lake Using Statistical Properties of Synthetic Aperture Radar Pulses |
| title_full | Detection of Floating Debris in the Lake Using Statistical Properties of Synthetic Aperture Radar Pulses |
| title_fullStr | Detection of Floating Debris in the Lake Using Statistical Properties of Synthetic Aperture Radar Pulses |
| title_full_unstemmed | Detection of Floating Debris in the Lake Using Statistical Properties of Synthetic Aperture Radar Pulses |
| title_short | Detection of Floating Debris in the Lake Using Statistical Properties of Synthetic Aperture Radar Pulses |
| title_sort | detection of floating debris in the lake using statistical properties of synthetic aperture radar pulses |
| topic | sar sentinel-1 floating debris acd |
| url | http://geodata.kr/upload/pdf/GD-2023-0032.pdf |
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