Enabling earth observations in support of global, coastal, ocean, and climate change research and monitoring

This is a special issue featuring a selection of research papers presented at the 13th Biennial Pan Ocean Remote Sensing Conference (PORSEC) in November 2016. PORSEC was initially established, during the International Space Year 1990, as the Pacific Ocean Remote Sensing Conference – an organization dedicated to helping developing nations around the Pacific Rim stimulate their science programmes focused on the applications of remote-sensing technology to Ocean Sciences. Primarily through volunteer efforts, with some support from the host countries and national and international agencies that share its principles, the PORSEC Association has been holding biennial scientific meetings since 1992, rapidly expanding and gaining global status as a prestigious remote-sensing conference, with a scope covering all the world’s oceans. The goal of the meetings and the associated training courses is to further the understanding of the Earth’s environmental processes and to assist in training, education, and capacity-building. As the landscape of earth observing systems has been changing in the past two and a half decades, with many nations moving forward with missions, many with regional focus, PORSEC has continued in its efforts to advance science capabilities and to build a bridge to the future, while expanding to new regions and countries, such as India and the Indian Ocean, and Brazil and the Atlantic. Conferences take advantage of the unique perspective provided by satellite remote-sensing technology and those of the host country/region, while striving to protect the ocean and atmosphere and promote sustainable use and development of oceanic and coastal resources. PORSEC 2016 and the preceding capacity-building course were held in Fortaleza, state of Ceará, Brazil, and hosted by the Marine Science Institute (LABOMAR) of the Federal University of Ceará and its Earth Observation Laboratory, with in-kind local support by the Federal University of Bahia and the Oceanographic Institute of the University of São Paulo, as well as in kind and financial support from domestic and international space science and research agencies [the French Centre National des Etudes Spatiales, European Space Agency (ESA), the US National Aeronautics and Space Administration (NASA), the US National Environmental Satellite, Data, and Information Service, the US Office of Naval Research Global].

[1]  S. Karimova Observations of asymmetric turbulent stirring in inner and marginal seas using satellite imagery , 2017 .

[2]  Willamys R. N. de Sousa,et al.  Creation of a coastal evolution prognostic model using shoreline historical data and techniques of digital image processing in a GIS environment for generating future scenarios , 2018 .

[3]  Kristina Katsaros Tutorial on Remote Sensing for Capacity Building , 2017 .

[4]  S. Karimova Eddies in the Western Mediterranean seen in thermal infrared imagery and SLA fields , 2018, International Journal of Remote Sensing.

[5]  S. Lebedev Climatic variability of water circulation in the Caspian Sea based on satellite altimetry data , 2018 .

[6]  Yi‐Chen Wang,et al.  Satellite observation of the winter variation of sea surface temperature fronts in relation to the spatial distribution of ichthyoplankton in the continental shelf of the southern East China Sea , 2018 .

[7]  Björn Tings,et al.  Comparison of ship wake detectability on C-band and X-band SAR , 2018 .

[8]  Yi‐Chen Wang,et al.  Long-term observation on sea surface temperature variability in the Taiwan Strait during the northeast monsoon season , 2018 .

[9]  Fernando Pellon de Miranda,et al.  Short-time analysis of shoreline based on RapidEye satellite images in the terminal area of Pecém Port, Ceará, Brazil , 2018 .

[10]  N. A. Filimonova,et al.  Oil spills in the Barents Sea based on satellite monitoring using SAR: spatial distribution and main sources , 2018 .

[11]  Y. Ahn,et al.  Inter-slot radiometric discrepancy correction (IRDC) for GOCI ocean colour products , 2018 .

[13]  Chan-Su Yang,et al.  Hourly variation of green tide in the Yellow Sea during summer 2015 and 2016 using Geostationary Ocean Color Imager data , 2018 .

[14]  Increased chlorophyll-a concentration in the South China Sea caused by occasional sea surface temperature fronts at peripheries of eddies , 2018 .

[15]  J. Gower,et al.  Satellite observations of seeding of the spring bloom in the Strait of Georgia, BC, Canada , 2018 .

[16]  Zoran Vojinovic,et al.  Shallow water bathymetry mapping using Support Vector Machine (SVM) technique and multispectral imagery , 2018 .

[17]  Chan-Su Yang,et al.  Automatic discrimination approach of sea ice in the Arctic Ocean using Sentinel-1 Extra Wide Swath dual-polarized SAR data , 2018 .

[18]  Variability of aerosol optical thickness in the tropical Indian Ocean and South China Sea during spring intermonsoon season , 2018 .

[19]  L. Mitnik,et al.  Passive microwave observations of South America and surrounding oceans from Russian Meteor-M No. 2 and Japan GCOM-W1 satellites , 2018 .