RADARSAT-2 Mode Selection for Maritime Surveillance
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A New Satellite, a New Vision
A New Satellite, a New Vision For more on RADARSAT-2 Canadian Space Agency Government RADARSAT Data Services 6767 Route de l’Aéroport Saint-Hubert, Quebec J3Y 8Y9 Tel.: 450-926-6452 [email protected] www.asc-csa.gc.ca MDA Geospatial Services 13800 Commerce Parkway Richmond, British Columbia V6V 2J3 Tel.: 604-244-0400 Toll free: 1-888-780-6444 [email protected] www.radarsat2.info Catalogue number ST99-13/2007 ISBN 978-1-100-15640-8 © Her Majesty the Queen in right of Canada, 2010 TNA H E C A D I A N SPA C E A G E N C Y A N D E A R T H O B S E R VAT I O N For a better understanding of our ocean, atmosphere, and land environments and how they interact, we need high-quality data provided by Earth observation satellites. RADARSAT-2 offers commercial and government users one of the world’s most advanced sources of space-borne radar imagery. It is the first commercial radar satellite to offer polarimetry, a capability that aids in identifying a wide variety of surface features and targets. To expand Canada’s technology leadership in Earth observation, the Canadian Space Agency is working with national and international partners on shared objectives to enhance • northern and remote-area surveillance • marine operations and oil spill monitoring • environmental monitoring and natural resource management • security and the protection of sovereignty • emergency and disaster management RADARSAT-2 is the next Canadian Earth observation success story. It is the result of collaboration between the Canadian Space Agency and the company MDA. -
Oil Pollution in the Black and Caspian Seas
Article Satellite Survey of Inner Seas: Oil Pollution in the Black and Caspian Seas Marina Mityagina and Olga Lavrova * Space Research Institute of Russian Academy of Sciences, Moscow 117997, Russia; [email protected] * Correspondence: [email protected]; Tel.: +7-495-333-4256 Academic Editors: Elijah Ramsey III, Ira Leifer, Bill Lehr, Xiaofeng Li and Prasad S. Thenkabail Received: 5 June 2016; Accepted: 17 October 2016; Published: 23 October 2016 Abstract: The paper discusses our studies of oil pollution in the Black and Caspian Seas. The research was based on a multi-sensor approach on satellite survey data. A combined analysis of oil film signatures in satellite synthetic aperture radar (SAR) and optical imagery was performed. Maps of oil spills detected in satellite imagery of the whole aquatic area of the Black Sea and the Middle and the Southern Caspian Sea are created. Areas of the heaviest pollution are outlined. It is shown that the main types of sea surface oil pollution are ship discharges and natural marine hydrocarbon seepages. For each type of pollution and each sea, regions of regular pollution occurrence were determined, polluted areas were estimated, and specific manifestation features were revealed. Long-term observations demonstrate that in recent years, illegal wastewater discharges into the Black Sea have become very common, which raises serious environmental issues. Manifestations of seabed hydrocarbon seepages were also detected in the Black Sea, primarily in its eastern part. The patterns of surface oil pollution of the Caspian Sea differ considerably from those observed in the Black Sea. They are largely determined by presence of big seabed oil and gas deposits. -
Cleanseanet Surveillance of Sea-Based Oil Spills by Radar Satellite Images Bachelor of Science Thesis in Shipping and Marine Technology
CleanSeaNet Surveillance of sea-based oil spills by radar satellite images Bachelor of Science Thesis in Shipping and Marine Technology ANA PAULA ROBALO DA SILVA RODRIGUES Department of Shipping and Marine Technology Bachelor’s Degree in Nautical Science CHALMERS University of Technology Gothenburg, Sweden 2009 Diploma Thesis SK-09/26 ii REPORT NO. SK-09/26 CleanSeaNet Surveillance of sea-based oil spills by satellite radar images ANA PAULA ROBALO DA SILVA RODRIGUES Department of Shipping and Marine Technology CHALMERS UNIVERSITY OF TECHNOLOGY Gothenburg, Sweden 2009 iii CleanSeaNet Surveillance of sea-based oil spills by satellite radar images ANA PAULA ROBALO DA SILVA RODRIGUES © ANA PAULA ROBALO DA SILVA RODRIGUES, 2009 Technical report no. SK-09/26 Department of Shipping and Marine Technology Chalmers University of Technology SE-412 96 Gothenburg Sweden Telephone + 46 (0)31-772 1000 Figure 1 (cover): Oil spill off the north-west coast of Spain (© European Space Agency / EMSA 2007) This image, taken by ENVISAT-ASAR on 1 June 2007 off the coast north-west Spain, shows 2 large oil spills. The 1st one, in the bottom right of the image has very distinct linear dark features with sharp edges and uniform backscattered signal area with a potential polluter vessel connected to it (visible as a bright white spot). The 2nd one, in the left top corner, has diffuse shape but high contrast typical of a spill that has been discharged several hours ago (source: EMSA 2009a). Printed by Chalmers Reproservice Gothenburg, Sweden 2009 iv Preface This report constitutes my Bachelor of Science thes is for Nautical Studies at Chalmers University of Technology in Gothenburg, S wed en. -
1 EMSA's Pollution Response & Detection Services
EMSA’s Pollution Response & Detection Services PAJ Oil Spill Symposium 2008 1 Bernd Bluhm Head of Unit Pollution Response European Maritime Safety Agency (EMSA) Background Post-Erika (2002: EMSA established) Post-Prestige (2004: new tasks include pollution response) 2 Agency of the European Community • Own legal identity • No legislative role • Technical and operational support 1 EMSA provides operational support • A European network of oil recovery vessels • Setting up a network of chemical experts for responding to HNS spills 3 • A satellite monitoring and surveillance service • EMSA experts service to second the MS and the EC during the marine pollution response operations Major European Oil Spills >10,000 Tonnes Year Name of the Vessel Tonnes spilled Countries affected 1989 KHARK 5 80,000 Portugal/Morocco 1989 ARAGON 25,000 Portugal 1990 SEA SPIRIT 10,000 Spain/Morocco 1991 HAVEN 144,000 Italy 4 1992 AEGEAN SEA 73,500 Spain 1993 BRAER 84,000 United Kingdom 1994 NASSIA 33,000 Turkey 1994 NEW WORLD 11,000 Portugal 1996 SEA EMPRESS 72,360 United Kingdom 1999 ERIKA 19,800 France 2002 PRESTIGE 63,000 Spain 2 Large oil spills in European waters Spills >700 tonnes 5 Spills >10,000 tonnes Recent major incidents in Europe 6 Erika Dec.1999; 20,000 tons HFO spilled Prestige Nov. 2002; 63,000 tons HFO spilled 3 Oil Pollution Response Equipment 7 Different Methods for Mechanical Recovery Network of Stand-by Oil Recovery Vessels Concept: • Vessel carries out normal commercial service • Request from Member State for assistance • Short notice transformation -
Sensors, Features, and Machine Learning for Oil Spill Detection and Monitoring: a Review
remote sensing Review Sensors, Features, and Machine Learning for Oil Spill Detection and Monitoring: A Review Rami Al-Ruzouq 1,2,* , Mohamed Barakat A. Gibril 2,3 , Abdallah Shanableh 1,2, Abubakir Kais 1, Osman Hamed 4 , Saeed Al-Mansoori 5 and Mohamad Ali Khalil 2 1 Civil and Environmental Engineering Department, University of Sharjah, Sharjah 27272, UAE; [email protected] (A.S.); [email protected] (A.K.) 2 GIS & Remote Sensing Center, Research Institute of Sciences and Engineering, University of Sharjah, Sharjah 27272, UAE; [email protected] (M.B.A.G.); [email protected] (M.A.K.) 3 Department of Civil Engineering, Faculty of Engineering, Universiti Putra Malaysia, Serdang 43400, Malaysia 4 Faculty of Science and Engineering, University of Wolverhampton, Wolverhampton WV1 1LY, UK; [email protected] 5 Applications Development and Analysis Section (ADAS), Mohammed Bin Rashid Space Centre (MBRSC), Dubai 211833, UAE; [email protected] * Correspondence: [email protected]; Tel.: +971-6-505-0953 Received: 2 September 2020; Accepted: 7 October 2020; Published: 13 October 2020 Abstract: Remote sensing technologies and machine learning (ML) algorithms play an increasingly important role in accurate detection and monitoring of oil spill slicks, assisting scientists in forecasting their trajectories, developing clean-up plans, taking timely and urgent actions, and applying effective treatments to contain and alleviate adverse effects. Review and analysis of different sources of remotely sensed data and various components of ML classification systems for oil spill detection and monitoring are presented in this study. More than 100 publications in the field of oil spill remote sensing, published in the past 10 years, are reviewed in this paper. -
Cleanseanet 1
17ème journée d’information du Cedre: La Détection des Pollutions accidentelles et des Rejets Illicites Paris, 20 Mars 2012 CleanSeaNet 1 Marc Journel Unit C3 Satellite Based Monitoring Services CleanSeaNet • The European satellite oil pollution and vessel detection and monitoring system • Linked into national/regional response chain strengthening operational pollution surveillance and response for deliberate and accidental spills. 2 Legal basis • Directive 2005/35/EC* of 7 September 2005 on ship-source pollution and on the introduction of penalties, including criminal penalties, for pollution offences Article 10 Accompanying measures 2. In accordance with its tasks as defined in Regulation (EC) No 1406/2002, the European Maritime Safety Agency shall: 3 (a) work with the Member States in developing technical solutions and providing technical assistance in relation to the implementation of this Directive, in actions such as tracing discharges by satellite monitoring and surveillance; (b) assist the Commission in the implementation of this Directive, including, if appropriate, by means of visits to the Member States, in accordance with Article 3 of Regulation (EC) No 1406/2002. * as amended by Directive 2009/123/EC of 21 October 2009 Operational use of CleanSeaNet Routine monitoring of all European waters looking for illegal discharges : •Detection of possible spills •Detection of vessels •Identification of polluters by combining CleanSeaNet and Vessel traffic information available through SafeSeaNet 4 Supporting enforcement actions by the -
The RADARSAT-Constellation Mission (RCM)
The RADARSAT-Constellation Mission (RCM) Dr. Heather McNairn Science and Technology Branch, ORDC [email protected] Daniel De Lisle RADARSAT Constellation Mission Manager Canadian Space Agency [email protected] Why Synthetic Aperture Radar (SAR)? The Physics: • At microwave frequencies, energy causes alignment of dipoles (sensitive to number of water molecules in target) • Characteristics of structure in target impacts how microwaves scatter (sensitive to roughness and canopy structure) The Operations: • At wavelengths of centimetres to metres in length, microwaves are unaffected by cloud cover and haze • As active sensors, SARs generate their own source of energy; can operate day or night and under low illumination conditions The Reality for Agriculture: • The backscatter intensity and scattering characteristics can be used to estimate amount of water in soils and crops, and tell us something about the type and condition of crops • The near-assurance of data collection is critical for time sensitive applications, in times of emergency (i.e. flooding), risk (i.e. disease), and for consistent measures over the entire growing season (i.e. monitoring crop condition) Why a RADARSAT Constellation? • The use of C-Band SAR has increased significantly since the launch of RADARSAT-1 • Many Government of Canada users have developed operational applications that deliver information and products to Canadians and the international community, based on RADARSAT • This constellation ensures C-Band continuity with improved system reliability, primarily to support current and future operational users • RCM is a government-owned mission, tailored to respond to Canadian Government needs for maritime surveillance, disaster management and ecosystem monitoring Improved stream flow forecasts1 Estimates of crop biomass2 AAFC’s annual crop inventory Produced by ACGEO Contact: [email protected] 1Bhuiyan, H.A.K.M, McNairn, H., Powers, J., and Merzouki, A. -
UNEP(DEPI)/MED IG.22/28 Page 245 Decision IG.22/4 Regional Strategy
UNEP(DEPI)/MED IG.22/28 Page 245 Decision IG.22/4 Regional Strategy for Prevention of and Response to Marine Pollution from Ships (2016-2021) The 19th Meeting of the Contracting Parties to the Convention for the Protection of the Marine Environment and the Coastal Region of the Mediterranean, herein after referred to as the Barcelona Convention, Recalling the Protocol concerning Cooperation in Preventing Pollution from Ships and, in Cases of Emergency, Combating Pollution of the Mediterranean Sea, hereinafter referred to as the “2002 Prevention and Emergency Protocol”, and in particular article 18 providing for the formulation and adoption “of strategies, action plans and programmes for its implementation”; Recalling also the Regional Strategy for Prevention of and Response to Marine Pollution from Ships (2005-2015), hereinafter referred to as “the Regional Strategy (2005-2015)”, adopted by COP 14 (Portorož, Slovenia, 2005); Noting the progress achieved and the challenges faced in the implementation of the Regional Strategy (2005-2015) and the possible areas of improvements; Based on Decision IG.21/17 of COP 18 (Istanbul, Turkey, December 2013) on the Programme of Work and Budget 2014-2015 mandating the revision and update of the Regional Strategy (2005- 2015); Further recalling that the mandate of the Regional Marine Pollution Emergency Response Centre for the Mediterranean Sea (REMPEC), adopted by the 16th Meeting of the Contracting Parties in Marrakesh (Morocco) in 2009, is to assist the Contracting Parties in meeting their obligations under the 2002 Prevention and Emergency Protocol and in implementing related strategies; 1. Adopts the Regional Strategy for Prevention of and Response to Marine Pollution from Ships (2016-2021), hereinafter referred to as “the Regional Strategy (2016-2021)”, contained in the Annex to this Decision; 2. -
RADARSAT-2 Provides Polarized Data, and Is the first RADARSAT-2 Spaceborne Commercial SAR to Offer Polarimetry Data
R RADARSAT-1. RADARSAT-2 provides polarized data, and is the first RADARSAT-2 spaceborne commercial SAR to offer polarimetry data. The intent here is not to outline polarimetry theory, but to present the concepts in an intuitive manner so that those not familiar with RADARSAT-2, the second in a series of Canadian spaceborne Synthetic polarimetry can understand the benefits of polarimetry and the infor- Aperture Radar (SAR) satellites, was built by MacDonald Dettwiler, mation available in polarimetry data. Many articles are available that Richmond, Canada. RADARSAT-2, jointly funded by the Canadian discuss polarimetry theory, applications, and provide excellent back- Space Agency and MacDonald Dettwiler, represents a good example of ground information (Ulaby and Elachi, 1990; Touzi et al. 2004). public–private partnerships. RADARSAT-2 builds on the heritage of the Notwithstanding the inherent complexity of polarimetry, polarimetry RADARSAT-1 SAR satellite, which was launched in 1995. RADARSAT- in its simplest terms refers to the orientation of the radar wave relative 2 will be a single-sensor polarimetric C-band SAR (5.405 GHz). to the earth’s surface and the phase information between polarization RADARSAT-2 retains the same capability as RADARSAT-1. configurations. Morena et al., 2004 For example, the RADARSAT-2 has the same RADARSAT-1 is horizontally polarized meaning the radar wave (the imaging modes as RADARSAT-1, and as well, the orbit parameters will electric component of the radar wave) is horizontal to the earth’s sur- be the same thus allowing co-registration of RADARSAT-1 and face (Figure R1). In contrast, the ERS SAR sensor was vertically polar- RADARSAT-2 images. -
PRODUCT CATALOGUE © European Maritime Safety Agency 2019
European Maritime Safety Agency COPERNICUS MARITIME SURVEILLANCE PRODUCT CATALOGUE © European Maritime Safety Agency 2019 Photo credits: Front Cover: 2019 European Space Imaging/Digital Globe, a MAXAR company; EMSA. Aytug askin/shutterstock.com; artjazz/shutterstock.com; Boris Rabtsevich/shutterstock.com; donvictorio/shutterstock. com; photoneye/shutterstock.com; imaginegolfIstock-photo.com; Alex Kolokythas/shutterstock.com; ESAATG medialab page 18,40, 63, 64, 65; CoreDESIGN/shutterstock.com;Nick1803/Istock-photo.com; Dahotski Dzmitry/shutterstock.com. Back cover: Kateryna Kon/shutterstock.com; S-F/shutterstock.com; yotily/shutterstock.com; d13/shutterstock.com; cc_Epicstockmedia/shutterstock.com COPERNICUS MARITIME SURVEILLANCE PRODUCT CATALOGUE Version 2019 Copernicus Maritime Surveillance Product Catalogue INTRODUCTION 4 CHAPTER 1 GETTING STARTED • Service scope 7 • Data policy 9 CHAPTER 2 ACCESSING THE SERVICE • Setting up the CMS service 11 • Service request 12 • Service delivery 14 • Archive data access 17 CHAPTER 3 EARTH OBSERVATION PRODUCTS • Overview 19 • Resolution of classes and products 20 • EO SAR image products 22 • EO optical image products 32 CONTENTS CHAPTER 4 EARTH OBSERVATION VALUE-ADDED PRODUCTS • Overview 39 • Vessel detection 40 • Feature detection 44 • Activity detection 46 • Oil spill detection 48 • Wind and wave information 50 • Value-added products: application and uses 52 2 Copernicus Maritime Surveillance Product Catalogue Copernicus Maritime Surveillance CHAPTER 5 FUSION PRODUCTS • Overview 55 • Correlation with vessel reporting information 56 • Oil spill notification 58 CHAPTER 6 FREQUENTLY ASKED QUESTIONS 60 ANNEX I SATELLITE LICENCE CONDITIONS 64 ANNEX II IMAGE CREDITS 66 ANNEX III ACRONYMS AND ABBREVIATIONS 70 3 Copernicus Maritime Surveillance Product Catalogue INTRODUCTION Copernicus is a European Union Programme aimed at developing European information services based on satellite Earth Observation (EO) and in-situ (non-space) data. -
Canadian Progress Toward Marine and Coastal Applications of Synthetic Aperture Radar
MARINE AND COASTAL APPLICATIONS OF SAR Canadian Progress Toward Marine and Coastal Applications of Synthetic Aperture Radar Paris W. Vachon, Paul Adlakha, Howard Edel, Michael Henschel, Bruce Ramsay, Dean Flett, Maria Rey, Gordon Staples, and Sylvia Thomas With Radarsat-1 presently in operation and Radarsat-2 approved, Canada is starting to develop synthetic aperture radar (SAR) applications that require imagery on an operational schedule. Sea ice surveillance is now a proven near–real-time application, and new marine and coastal roles for SAR imagery are emerging. Although some image quality and calibration issues remain to be addressed, ship detection and coastal wind field retrieval are now in demonstration phases, with significant participation from the Canadian private sector. (Keywords: Ice, Ocean, SAR, Ship, Wind.) INTRODUCTION The development of marine and coastal synthetic Inc.’s Ocean Monitoring Workstation (OMW) and aperture radar (SAR) applications in Canada has to IOSAT, Inc.’s Sentry, a transportable satellite ground date involved data from platforms such as the CV-580 station. In addition, the imaging of meteorological fea- airborne SAR, the European Remote Sensing (ERS) tures in SAR images over the ocean presents new satellite SARs, and the Radarsat SAR in research, dem- opportunities for both research and new operational onstration, and operational roles. An emerging theme applications. To better cater to the needs of offshore is the development of new operational applications as data users, Radarsat International, the commercial we approach the Envisat and Radarsat-2 eras. These Radarsat data distributor, has introduced new services new sensors will broaden the observation space (in for data programming, processing, and delivery. -
RADARSAT-1 Standard Beam SAR Images Summary: This Data Set Is Derived from the Alaska SAR Facility's Archive of RADARSAT-1 Standard Beam SAR Data
RADARSAT-1 Standard Beam SAR Images Summary: This data set is derived from the Alaska SAR Facility's archive of RADARSAT-1 Standard Beam SAR data. These data have been archived since shortly after the RADARSAT-1 launch in November 1995, with regular archiving starting in June 1996 after the commissioning phase was completed. The data represent how strongly the Earth's surface backscattered C-Band (5.66 cm wavelength) radar signals (see the SAR FAQ for more details). Most of the data cover ASF's station mask, approximated by a circle with radius 3000 km centered at Fairbanks, Alaska. ASF also archives data received at the McMurdo Station in Antarctica. Through ASF, approved U.S. RADARSAT-1 SAR researchers may obtain RADARSAT-1 data obtained by other ground stations and have that data processed at ASF as well. This foreign ground station data becomes part of the ASF data archive and is eventually available for order by other ASF approved researchers. RADARSAT-1 carries two tape recorders, each capable of recording 10 minutes of SAR data, so ASF also archives a significant amount of recorded out-of-mask data. The RADARSAT-1 Antarctic Mapping Mission (AMM) data represent one such example. In Antarctic mode, the RADARSAT-1 satellite was rotated such that the SAR was left-looking. RADARSAT-1 then recorded SAR data over the Antarctic continent and downlinked that data to ASF for processing and storage. The entire Antarctic continent was mapped. The AMM data is described more fully in the document for Radarsat-1 Standard Beam Left Looking RAMP Images.