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Detection of Temporal Change of Fishery and Island Activities by DNB and SAR on the South China Sea
Abstract:Fishery lights on the surface could be detected by the Day and Night Band (DNB) of the Visible Infrared Imaging Radiometer Suite (VIIRS) on the Suomi National Polar-orbiting Partnership (Suomi-NPP). The DNB covers the spectral range of 500 to 900 nm and realized a higher sensitivity. The DNB has a difficulty of identification of fishing lights from lunar lights reflected by clouds, which affects observations for the half of the month. Fishery lights and lights of the surface are identified from lunar lights reflected by clouds by a method using the DNB and the infrared band, where the detection limits are defined as a function of the brightness temperature with a difference from the maximum temperature for each level of DNB radiance and with the contrast of DNB radiance against the background radiance. Fishery boats or structures on islands could be detected by the Synthetic Aperture Radar (SAR) on the polar orbit satellites using the reflected microwave by the surface reflecting targets. The SAR has a difficulty of tradeoff between spatial resolution and coverage while detecting the small targets like fishery boats. A distribution of fishery boats and island activities were detected by the scan-SAR narrow mode of Radarsat-2, which covers 300 km by 300 km with various combinations of polarizations. The fishing boats were detected as a single pixel of highly scattering targets with the scan-SAR narrow mode of which spatial resolution is 30 m. As the look angle dependent scattering signals exhibits the significant differences, the standard deviations of scattered signals for each look angles were taken into account as a threshold to identify the signal from fishing boats and structures on the island from background noise. It was difficult to validate the detected targets by DNB with SAR data because of time lag of observations for 6 hours between midnight by DNB and morning or evening by SAR. The temporal changes of island activities were detected as a change of mean intensity of DNB for circular area for a certain scale of activities. The increase of DNB mean intensity was corresponding to the beginning of dredging and the change of intensity indicated the ending of reclamation and following constructions of facilities.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1129047Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 689
 Nguyen-Dang T., Fisheries Cooperation in the South China Sea and the (Ir)relevance of the Sovereignty Question, Asian Journal of International Law, 2 (1), 59-88 (2012)
 Wessel, P., and W. H. F. Smith, A Global Self-consistent, Hierarchical, High-resolution Shoreline Database, J. Geophys. Res., 101, B4, 8741- 8743 (1996).
 Kyba, C. C. M., Garz, S., Kuechly, H., Miguel, A. S. de, Zamorano, J., Fischer, J., and Hölker, F., “High-Resolution Imagery of Earth at Night: New Sources, Opportunities and Challenges,” Remote Sens. 7, 1-23 (2015).
 Ma, S., Yan, W., Huang, Y., Ai, W., and Zhao, X., “Vicarious calibration of S-NPP/VIIRS day-night band using deep convective clouds,” Remote Sens. of Env. 158, 42-55 (2015).
 Cao, C. and Bai, Y., “Quantitative Analysis of VIIRS DNB Nightlight Point Source for Light Power Estimation and Stability Monitoring,” Remote Sens. 6, 11915-11935 (2014).
 Mazor, T., Levin, N., Possingham, H. P., Levy, Y., Rocchini, D., Richardson, A. J., “Can satellite-based night lights be used for conservation? The case of nesting sea turtles in the Mediterranean,” Biological Conservation 159, 63-72 (2013).
 Levin, N., Duke, Y., “High spatial resolution night-time light images for demographic and socio-economic studies,” Remote Sens. of Env. 119, 1-10 (2012).
 Miller, S. D., Straka, W., Mills, S. P., Elvidge, C. D., Lee, T. F., J. Solbrig, J., Walther, A., Heidinger, A. K., and Weiss, S. C., “Illuminating the Capabilities of the Suomi National Polar-Orbiting Partnership (NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band,” Remote Sens. 5, 6717-6766 (2013).
 Miller, S. D., Millsb, S. P., Elvidgec, C. D., Lindseyd, D. T., Lee, T. F., and Hawkins, J. D., “Suomi satellite brings to light a unique frontier of nighttime environmental sensing capabilities,” Proc. National Academy of Sciences of the United States of America 109, 15706-15711 (2012).
 Straka, W. C., Seaman, C., Baugh, K., Cole, K., Stevens, E., Miller, S. D., “Utilization of the Suomi National Polar-Orbiting Partnership (NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band for Arctic Ship Tracking and Fisheries Management,” Remote Sens. 7, 971-989; doi:10.3390/rs70100971 (2015).
 Elvidge, C. D., Zhizhin, M., Baugh, K., and Hsu, F., “Automatic Boat Identification System for VIIRS Low Light Imaging Data,” Remote Sens. 7, 3020-3036; doi:10.3390/rs70303020 (2015).
 Marino, A., M. J. Sanjuan-Ferrer, I. Hajnsek and K. Ouchi, Ship Detection with Spectral Analysis of Synthetic Aperture Radar: A Comparison of New and Well-known Algorithms, Remote Sens., 7, 5416-5439 (2015).
 Wei, J., J. Zhang, G. Huang and Z. Zhao, On the Use of Cross-Correlation between Volume Scattering and Helix Scattering from Polarimetric SAR Data for the Improvement of Ship Detection, Remote Sens., 8, 74 (2016).
 Asanuma, I., T. Yamaguchi, J. G. Park, K. Mackin, J. Mittleman, Detection of fishing boats by the day night band (DNB) on VIIRS, Imaging Spectrometry XXI, Proc. of SPIE, 9976, 99760P (2016).