Spatio-temporal distribution of off-shore ships in the Pars Special Economic Energy Zone based on satellite imagery

Document Type : Research Paper

Authors

1 Ph.D candidate of Remote Sensing and GIS, Department of Remote Sensing and GIS, Faculty of Geography, University of Tehran, Tehran, Iran

2 Associate Professor of Remote Sensing and GIS, Department of Remote Sensing and GIS, Faculty of Geography, University of Tehran, Tehran, Iran

3 Assistant Professor of Remote Sensing, Department of Remote Sensing and GIS, Faculty of Geography, University of Tehran, Tehran, Iran

4 Assistant Professor of GIS, Department of Remote Sensing and GIS, Faculty of Geography, University of Tehran, Tehran, Iran

Abstract

Special Economic Zones (SEZs) are areas controlled by specific legislations so as to
attain economic prosperity. These zones are commonly established and controlled by
government officials and are primarily characterized by growing population and developing
transport infrastructure. One relevant case is the Pars Special Economic Energy Zone
(PSEEZ) situated in the south of Iran, on the northern shores of the Persian Gulf. This
particular zone has been formed to extract, refine, and export gas. The coast of the Persian
Gulf has brought on further expansions in sea transportation, thereby increasing shipping
activities in the area. The chief mode of shipping goods and materials in the PSEEZ is
Maritime transportation. Identification of areas where traffic is carried out requires the
collection of spatial data of ships. These spatial data are utilized in several applications for
modeling of marine ecosystem. The central purpose of this research is to procure spatial
data required for the PSEEZ using optical remote sensing images. Thus, Landsat-8 and
Sentinel-2 images spanning from 2013 to 2018 were incorporated to identify ships in the
study area. The threshold-based method was implemented for detecting the ships using
infrared bands of 172 images, upon which a total of 3361 ships were identified. The map of
areas affected by ship traffic was prepared using Hot Spot analysis. The results specify that
more than 80 square kilometers of the marine environment has been affected by ship traffic
during the years 2013- 2018.

Keywords

Main Subjects

References

Andersson, K., Brynolf, S., Lindgren, J.F., and Wilewska-Bien, M. 2016. Shipping and the Environment: Improving Environmental Performance in Marine Transportation. 1st ed. Berlin: Springer Press.
Bi, F., Liu, F., and Gao, L. 2010. A hierarchical salient-region based algorithm for ship detection in remote sensing images. Advances in Neural Network Research and Applications. Springer, Berlin Heidelberg, 729–738.
Castro Gomez, M.G. 2017. Joint use of Sentinel-1 and Sentinel-2 for land cover classification: a machine learning approach. Master of Science (MSc) Thesis, Lund University.

Chengjin, W., Peiran, Ch., and Yunhao, Ch. 2018. The identification of global strategic shipping pivots and their spatial patterns. Journal of Geographical Sciences, 28(9): 1215-1232.

Cozzolino, E., and Lasta, C.A. 2016. Use of VIIRS DNB satellite images to detect jigger ships involved in the Illex argentines fishery. Remote Sensing Applications: Society and Environment,4: 167–178.
Dialogue and Development in Iran: Building Multi-stakeholder Alliances (Asalouyeh Project), 2013. Newsletter. 3 (In Persian).

Dobaradaran, S., Soleimani, F., Nabipour, I., Saeedi, R., and Mohammadi, M.J. 2018. Heavy metal levels of ballast waters in commercial ships entering Bushehr port along the Persian Gulf. Marine Pollution Bulletin, 126: 74-76.

ESA. (2017). Sentinel Online; Radiometric Resolutions. Cited at: https://earth.esa.int/web/sentinel/user-guides/sentinel-2-msi/resolutions/radiometric
Hejazi, N., Fazel, R., and Vahida, F. 2015. Impacts of Economic Development of Assaluyeh on Quality of Life (by Industrial Development Approach). The Socio Cultural Strategy Journal, 4(14): 87-114 (In Persian).
Huang, D.Zh., Hu, H., and Li, Y.Zh. 2013. Spatial Analysis of Maritime Accidents Using the Geographic Information System. Transportation Research Record, 2326(1): 39-44.

Kanjir, U., Greidanus, H., and Oštir, K. 2018. Vessel detection and classification from spaceborne optical images: A literature survey. Remote Sensing of Environment. 207, 1-26.

Kanjir, U., Marsetič, A., Pehani, P., and Oštir, K. 2014. An automatic procedure for small vessel detection from very-high resolution optical imagery. In: 5th Geographic Object-Based Image Analysis Conference (GEOBIA). 4.
Li, J., and Roy, D.P. 2017. A Global Analysis of Sentinel-2A, Sentinel-2B and Landsat-8 Data Revisit Intervals and Implications for Terrestrial Monitoring. Remote Sensing.  9(9), 902.
Marino, A., Sanjuan-Ferrer, M.J., Hajnsek, I., and Ouchi, K. 2015. Ship Detection with Spectral Analysis of Synthetic Aperture Radar: A Comparison of New and Well-Known Algorithms. Remote Sensing, 7(5):5416-5439.
NASA. 2017. Spectral Response of the Operational Land Imager In-Band, Band-Average Relative Spectral Response. Data downloads available. Cited at: https://landsat.gsfc.nasa.gov/preliminary-spectral-response-of-the-operational-land-imager-in-band-band-average-relative-spectral-response/
Ouellette, W., and Getinet, W. 2016. Remote sensing for marine spatial planning and integrated coastal areas Management: Achievements, challenges, opportunities and future prospects. Remote Sensing Applications: Society and Environment, 4: 138-157.
Owfi, R.E., and Owfi, F. 2018. Ecological study of Harra forests in the Nayband protected area at Bushehr province, Iran. International Journal for Research in Agricultural And Food Science, 4(6): 1–8.

Peng, C., Zhao, X., and Liu, G. 2015. Noise in the Sea and Its Impacts on Marine Organisms. International Journal of Environmental Research and Public Health, 12(10): 12304-12323.

PSEEZ, 2018. About PSEEZ Field. Retrieved July 26, 2018, from. http://www.pseez.ir/en/home
Talebian, A., Fazeli, M., and Daqaqeleh, A. 2008. The Social Impact Analysis of Development of Oil and Gas Industries in Asaluyeh. Journal of Social Science, 33: 55-75 (In Persian).
Torkianfar, F.,  Jafari, H.R., and Sadeghpour, A.H. 2010. Endangerment Survey of Construction Activities on Shore Line. Journal of Environmental studies. 35(52), 43-54 (In Persian).
Wang, Q., Blackburn, G.A., Onojeghuo, A.O., Dash, J., Zhou, L., Zhang, Y., and Atkinson, P.M. 2017. Fusion of Landsat 8 OLI and Sentinel-2 MSI Data. IEEE Transactions on Geoscience and Remote Sensing, 55(7): 3885–3899.

Wei, S., Cheng, Ch., and Lei, W. 2018. Spatial function regionalization and governance of coastal zone: A case study in Ningbo City. Journal of Geographical Sciences, 28(8): 1167–1181.

Yingjie, L., Liwei, Zh., Junping, Y., Pengtao, W., Ningke, H., Wei, Ch., and Bojie, F. 2017. Mapping the hotspots and coldspots of ecosystem services in conservation priority setting. Journal of Geographical Sciences, 27(6): 681-696.

Yu, Y., and Yi, L. 2014. Spatio-temporal analysis of urbanization and land and water resources efficiency of oasis cities in Tarim River Basin. Journal of Geographical Sciences, 24(3): 509-525.

Yunus, A., Dou, J., and Sravanthi, N. 2015. Remote sensing of chlorophyll-a as ameasure of red tide in Tokyo Bay using hotspot analysis. Remote Sensing Applications: Society and Environment, 2: 11–25.
Zahed, M.A., Rouhani, F., Mohajeri, S., Bateni, F., and Mohajeri, L. 2010. An overview of Iranian mangrove ecosystems, northern part of the Persian Gulf and Oman Sea. Acta Ecologica Sinic, 30(4): 240–244.
Zhang, L., Meng, Q., and Fwa, T.F. 2017. Big AIS data based spatial-temporal analyses of ship traffic in Singapore port waters. Transportation Research Part E: Logistics and Transportation Review.In Press
Environmental Resources Research
Volume 7, Issue 1
July 2019
Pages 43-54

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