The lectures include an introduction to the physical principles of remote sensing, relevant satellite sensors, advantages and problems in monitoring and assessing of the coastal zone. Photo-interpretation and digital image processing techniques for producing environmental information, image enhancement and classification techniques. Sources of data (satellites, airphotography, UAVs). Principles and technology of Geographical Information Systems (GIS). Data models, geodatabase design, and data entry. Spatial and tabular queries of geographic data, overlay analysis, proximity analysis and map algebra. Design of a thematic map. Instruments for resources survey (GPS, spectroradiometer, etc.). Applications of remote sensing and GIS in the coastal zone to map the environmental pressures (such as location and acreage of intensive farming, location and extents of aquacultures and other human activities), to map the state of the ecosystems (such as maps of terrestrial and marine habitats, water quality and water cycle), and map the impact on the ecosystems (such as the level of degradation and loss of habitats). This course will provide the student with an understanding of the basic concepts of remote sensing and GIS and its role as a data management tool in coastal zone management. The course is divided between lectures and laboratories and an emphasis is places on practical experience using GIS software (ArcGIS). Moreover students will learn about the development of small microprocessor-based data storage tags that are surgically implanted or satellite-linked and which provide marine researchers a novel avenue for examining the movements, physiology and behaviors of pelagic animals in the wild. When biological and physical data obtained from the tags are combined with satellite derived sea surface temperature and ocean colour data, the relationships between the movements, behaviors and physical ocean environment can be examined. Tag-bearing marine animals can function as autonomous ocean profilers providing oceanographic data wherever their long migrations take them. The biologging science is providing ecological physiologists with new insights into the seasonal movements, habitat utilization, breeding behaviors and population structures in of marine vertebrates. In addition, the data are revealing migration corridors, hot spots and physical oceanographic patterns that are key to understanding how organisms such as bluefin tunas use the open ocean environment. Modern tags have powerful microprocessors, increased memory, and improved sensors thus providing more precise and rapid sampling of the environment. Remote sensing satellites provide global views at higher resolutions, more useful for integrating environmental data with animal collected data. Together these new tools are advancing the science of biologging and improving the capacity of the physiologist to tackle unanswered ecological questions.
On completing this course the student will have:
An awareness of the main sources of spatially referenced data.
Skills and practical experience in handling spatially referenced data.
Knowledge of GIS data, data models and spatial databases.
An appreciation of issues relating to data quality in GIS.
An awareness of how remote sensing and GIS is used in coastal zone
Student's final grade will be based on class participation and discussions (25%); presentation of bibliography assignment (30%); and practical exercises and case study (45%).