Advanced study of coastal zone oceanographic requirements for ERTS E and F

Earth Resources Technology Satellites E and F orbits and remote sensor instruments for coastal oceanographic data collectio

Seasat data utilization project

During the three months of orbital operations, the satellite returned data from the world's oceans. Dozens of tropical storms, hurricanes and typhoons were observed, and two planned major intensive surface truth experiments were conducted. The utility of the Seasat-A microwave sensors as oceanographic tools was determined. Sensor and geophysical evaluations are discussed, including surface observations, and evaluation summaries of an altimeter, a scatterometer, a scanning multichannel microwave radiometer, a synthetic aperture radar, and a visible and infrared radiometer

Remote sensing in the coastal and marine environment. Proceedings of the US North Atlantic Regional Workshop

Presentations were grouped in the following categories: (1) a technical orientation of Earth resources remote sensing including data sources and processing; (2) a review of the present status of remote sensing technology applicable to the coastal and marine environment; (3) a description of data and information needs of selected coastal and marine activities; and (4) an outline of plans for marine monitoring systems for the east coast and a concept for an east coast remote sensing facility. Also discussed were user needs and remote sensing potentials in the areas of coastal processes and management, commercial and recreational fisheries, and marine physical processes

Ocean remote sensing techniques and applications: a review (Part II)

As discussed in the first part of this review paper, Remote Sensing (RS) systems are great tools to study various oceanographic parameters. Part I of this study described different passive and active RS systems and six applications of RS in ocean studies, including Ocean Surface Wind (OSW), Ocean Surface Current (OSC), Ocean Wave Height (OWH), Sea Level (SL), Ocean Tide (OT), and Ship Detection (SD). In Part II, the remaining nine important applications of RS systems for ocean environments, including Iceberg, Sea Ice (SI), Sea Surface temperature (SST), Ocean Surface Salinity (OSS), Ocean Color (OC), Ocean Chlorophyll (OCh), Ocean Oil Spill (OOS), Underwater Ocean, and Fishery are comprehensively reviewed and discussed. For each application, the applicable RS systems, their advantages and disadvantages, various RS and Machine Learning (ML) techniques, and several case studies are discussed.Peer ReviewedPostprint (published version

Evaluation of the Harmful Algal Bloom Mapping System (HABMapS) and Bulletin

The National Oceanic and Atmospheric Administration (NOAA) Harmful Algal Bloom (HAB) Mapping System and Bulletin provide a Web-based geographic information system (GIS) and an e-mail alert system that allow the detection, monitoring, and tracking of HABs in the Gulf of Mexico. NASA Earth Science data that potentially support HABMapS/Bulletin requirements include ocean color, sea surface temperature (SST), salinity, wind fields, precipitation, water surface elevation, and ocean currents. Modeling contributions include ocean circulation, wave/currents, along-shore current regimes, and chlorophyll modeling (coupled to imagery). The most immediately useful NASA contributions appear to be the 1-km Moderate Resolution Imaging Spectrometer (MODIS) chlorophyll and SST products and the (presently used) SeaWinds wind vector data. MODIS pigment concentration and SST data are sufficiently mature to replace imagery currently used in NOAA HAB applications. The large file size of MODIS data is an impediment to NOAA use and modified processing schemes would aid in NOAA adoption of these products for operational HAB forecasting

Data Requirements for Oceanic Processes in the Open Ocean, Coastal Zone, and Cryosphere

The type of information system that is needed to meet the requirements of ocean, coastal, and polar region users was examined. The requisite qualities of the system are: (1) availability, (2) accessibility, (3) responsiveness, (4) utility, (5) continuity, and (6) NASA participation. The system would not displace existing capabilities, but would have to integrate and expand the capabilities of existing systems and resolve the deficiencies that currently exist in producer-to-user information delivery options

Validation of Sea Surface Temperature from GCOM-C Satellite Using iQuam Datasets and MUR-SST in Indonesian Waters

Sea surface temperature (SST) is an important variable in oceanography. One of the SST data can be obtained from the Global Observation Mission-Climate (GCOM-C) satellite. Therefore, this data needs to be validated before being applied in various fields. This study aimed to validate SST data from the GCOM-C satellite in the Indonesian Seas. Validation was performed using the data of Multi-sensor Ultra-high Resolution sea surface temperature (MUR-SST) and in situ sea surface temperature Quality Monitor (iQuam). The data used are the daily GCOM-C SST dataset from January to December 2018, as well as the daily dataset from MUR-SST and iQuam in the same period. The validation process was carried out using the three-way error analysis method. The results showed that the accuracy of the GCOM-C SST was 0.37oC

Environmental monitoring of Galway Bay: fusing data from remote and in-situ sources

Changes in sea surface temperature can be used as an indicator of water quality. In-situ sensors are being used for continuous autonomous monitoring. However these sensors have limited spatial resolution as they are in effect single point sensors. Satellite remote sensing can be used to provide better spatial coverage at good temporal scales. However in-situ sensors have a richer temporal scale for a particular point of interest. Work carried out in Galway Bay has combined data from multiple satellite sources and in-situ sensors and investigated the benefits and drawbacks of using multiple sensing modalities for monitoring a marine location

Satellite applications as an ocean and coastal zone management tool : three case studies

Satellite applications are being used in land, sea, air and space studies and management applications in the sea covering a wide spectrum of fields, such as oceanography (bathymetry, tides, waves, sea level, currents, surface water temperature), fisheries (resources distribution and monitoring of fisheries), shipping (fleet monitoring, communication, safety and rescue, pollution detection and monitoring), and navy (security, strategy, safety). Further, satellites can be used in the process of educating people onboard. The present research is a study of three satellite applications for Ocean and Coastal Zone Management (OCZM). Radar sensors which are used in bathymetric exploration are useful in the oil pipeline industry and in coastal navigation. Thermal and radar imaging have been used to detect indirectly the resource distribution of the tuna fisheries and lately also other fisheries. The Global Position System (GPS) and data communications today permit fleet monitoring, although the focus of this dissertation is on the fishing fleet. The development of any fleet monitoring system can follow the same principle. An interesting point is the cost — although this technology may appear expensive, it is in effect not. One of the objectives of this dissertation is to compare the value of traditional methods and satellite applications. With this I intend to give a new perspective of the capabilities of the new technology and its application in developing countries. The Ocean and Coastal Zone (OCZ) is a very wide area. Normally, the control and monitoring of this would take days, if traditional systems are used, and all analyses would be post-facto. Satellites can provide a wide variety of applications besides data communications technology. They can send position, type of vessel, speed, and other parameters in near-real time and therefore the ability of OCZM can be substantially increased. Herein lies the interest in exploring the employment of satellites as OCZ management tools. The methodology followed in the development of this paper is to conduct an analysis of remote sensing capabilities. This includes comparing remote sensing images and data with traditional methods of obtaining and analysing data for the management of the natural resources within the coastal and ocean areas of a country. In addition, Internet capabilities and library resources have been used extensively to research the arena of satellite science

Satellite Remote Sensing and Fisheries Applications

Satellite remote sensing has the capacity to aid the three major components of a fishery: research, management, and the fishing industry. An evaluation of the potential of satellite-derived data to the fishery is based upon six case studies which are presented as evidence of the capabilities of satellite-borne sensors. Peripheral applications pertaining to the marine environment and possible applications for the future are reviewed. Three basic categories of remote sensing programs related to the fishery are defined: one to test the applicability of the technology to the field of fisheries; another to employ the technology to fisheries research; and a third to provide remote sensing technology for commercial interests. Problems limiting the usage of remote sensing in fisheries are discussed. The possibilities of initiating a commercial venture to provide sea surface temperature charts to the fishing industry are explored; the foundation for such a venture at the present would be precarious. It was determined that the most successful contributors to remote sensing of fisheries were sea surface temperature and ocean color data. Data on sea surface wind activity is expected to be of great value, although initial studies were terminated with the early failure of the SEASAT-A mission. Temperature sensors and a scatterometer are included in future space programs; an ocean color imager is not. Until a full complement of relevant sensors is in orbit, the full potential of satellite remote sensing to the fishery cannot be realized. The factors governing deployment of an ocean color imager, and therefore limiting the potential of remote sensing, are of a political and economic nature. As a result, certain activities of import to fisheries are endangered, and many programs reliant upon ocean color data remain experimental