Ecological environment monitoring for sustainable development goals in Gomishan international wetland, Gorgan Bay, Caspian Sea

Hedayati, Aliakbar; Zefrehei, Ahmad Reza Pirali; Sahraei, Hasan

doi:10.1007/s11356-023-25852-6

Cited by 2 publications

(1 citation statement)

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“…It is essential to implement spatially continuous monitoring of the sea surface to obtain a more comprehensive understanding of the distribution of risk sources. The satellite remote sensing technique is capable of capturing large-scale images of the Earth, and has been utilized in the study of the ecological risk monitoring of coastal areas [10][11][12][13]. Researchers have presented a number of methods to identify marine oil spills from remote sensing images [14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Monitoring of Oil Spill Risk in Coastal Areas Based on Polarimetric SAR Satellite Images and Deep Learning Theory

Liao,

Zhao,

Song

2023

Sustainability

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Healthy coasts have a high ecological service value. However, many coastal areas are faced with oil spill risks. The Synthetic Aperture Radar (SAR) remote sensing technique has become an effective tool for monitoring the oil spill risk in coastal areas. In this study, taking Jiaozhou Bay in China as the study area, an innovative oil spill monitoring framework was established based on Polarimetric SAR (PolSAR) images and deep learning theory. Specifically, a DeepLabv3+-based semantic segmentation model was trained using 35 Sentinel-1 satellite images of oil films on the sea surface from maritime sectors in different regions all over the world, which not only considered the information from the PolSAR images but also meteorological conditions; then, the well-trained framework was deployed to identify the oil films in the Sentinel-1 images of Jiaozhou Bay from 2017 to 2019. The experimental results show that the detection accuracies of the proposed oil spill detection model were higher than 0.95. It was found that the oil films in Jiaozhou Bay were mainly concentrated in the vicinity of the waterways and coastal port terminals, that the occurrence frequency of oil spills in Jiaozhou Bay decreased from 2017 to 2019, and that more than 80 percent of the oil spill events occurred at night, mainly coming from the illegal discharge of waste oil from ships. These data indicate that, in the future, the PolSAR technique will play a more important role in oil spill monitoring for Jiaozhou Bay due to its capability to capture images at night.

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