Dedicated to the technological advances and standardization efforts that enable GI resources (vector data, raster data, tools, maps) sharing and integration across distributed platforms. Learning outcomes: explain the role of web services in developing distributed infrastructures, outline the key technologies behind the Web GIS paradigm, list the organizations responsible for developing standards within geospatial domain, define the Spatial Data Infrastructure (SDI) frameworks and their role in spatial data exchange and integration in a distributed way, describe the following Open Geospatial Consortium (OGC) Specifications.
Learning objectives are based on time / mobile oriented use cases. AGO‐based apps are conceptualized and prototyped for mobile devices including field‐based data collection (Collector for ArcGIS). Real‐time event processing will involve attribute as well as positional data and leverages ArcGIS Geoevent facilities including geofencing rule sets. Special emphasis will be put on including open data and crowd sourcing / VGI / community / participation scenarios.
Development of geo‐application covers applications for the data acquisition, data processing and visualization. Development is based on special user‐centred and tasks‐centred requests. The practical examples, exercises, and assignments show to students how to develop proficiency geo‐applications. The practical design, testing and utilisation of geo‐application bring the valuable skills for the student.
The module integrates the use of computers in cartography and consequently in GIS to change the design and presentation of maps and diagrams considerably. Learning and training materials are provided for lessons, data and tools are available for practical assignments.
The topic introduces to the latest research and developments in remote sensing technology and image analysis techniques and is divided into three substantial and balanced theoretical parts and practical real‐world application components: (1) methodology, evolution and implementation of Copernicus services, (2) different sensor types as well as theoretical fundamentals and methods of state‐of‐the‐art remote sensing and image analysis technologies, (3) implementation examples of typical environmental Earth observation and global change monitoring solutions focusing on exploitation of ESA and third party missions and products.
During this course module students will learn how to select the appropriate carbon accounting method or simulation model for specific requirements through a mix of informative e‐learning presentations, online discussions and hands‐on use of various models.
This module deals with the steps in the CPM methodology and how a netcentric and spatial approach has been applied in hazardous situations that have been encountered around the world. Topics included: CPM methodology, Netcentric approach, Terms like COP, SA, The Safety chain.
The module encompasses an explanation of the concept and where it came from, highlighting the four areas that are involved. It explains how we used to work with geographic data and immediately touches upon how we should work to reach a better environment and a better world. Also new technological aspects are brought into this module: the use of cloud GIS, relation to the Internet of Things (IoT), open data and how we can use the new environment to support the simulation.
The following contents will be mainly discussed in this course: the general 3D model for expressing 3D object in the city; the traditional and latest technologies for acquiring 3D geospatial information of city objects; the methods for constructing 3D city models with acquired 3D geospatial information; the applications of 3D city models. On completion of this course, you will be able to construct your own 3D city models through existing 3D modeling techniques.
In this module, interesting and useful practices are carefully designed to help students get a thorough and comprehensive understanding of DEMs as well as their applications in geo‐analysis.
During this course module students will have a basic understanding of the emerging field of ITS and acquire basic knowledge of the state of the art in this field. How GIS and related spatial information technology application in ITS components is extremely concerned such as navigation system, spatio‐temporal data management, spatial network analysis and service.
During this course module students will have a basic understanding of the emerging field of Smart City and acquire basic knowledge of the state of the art in this field. How GIS and related spatial information technology application in Smart City components is extremely concerned such as Sensor network, cloud and ubiquitous computing system, 3D and real‐time GIS data management, spatio‐temporal data mining and Big Data engineering.
This module will provide a series of lectures, field excursion and a serial cases to students, lead them to understand the concept of arid ecosystem and importance of its existence as well as importance of geospatial technology for arid ecosystem management. Topics will be: Understanding of Arid Ecosystem, Monitoring of Arid Ecosystem, Arid Ecosystem Modelling, Management of arid ecosystem, Field excursion for different arid ecosystems.
This module is designed to provide a more thorough understanding of the scientific basis of both natural (past 2000 years) and anthropogenic (past 200 years) climate and environmental changes. Students will explore the key issues surrounding 20th‐century climate change and the role of human activities in shaping the physical, chemical and biological characteristics of the environment that sustains life on Earth.
Students will be trained on following topics: Map visualisation of various factors related to health data in context to local and global health, Techniques of data acquisition and database design and development, Disease surveillance, Hotspots, Data manipulation and Geoprocessing for disease data analysis. Statistical analysis for health application,
Disease trends. Disease risk mapping, Satellite Navigation for trauma Assistance, Risk Mapping. They will also be given overview of case studies relate to epidemiology and using GIS for disease surveillance and risk mapping. Students will be given exercises to understand and apply various statistical and modelling tools for disease mapping, trend analysis, patterns and dynamic diffusion analysis. They will also be trained on finding local factors influencing the particular disease in an area.
Students will be trained on following topics: Physical concept of marine remote sensing, Satellite sensors and their applications in marine and coastal areas, Image classification and Image processing to extract information, Mapping of suspended solid concentration, chlorophyll concentrations, water qualities and nutrients, algae, macrophytes, Mapping of Benthic communities such as sand, corals and sea grass, Mapping of mangrove forests, Creating a GIS database for coastal and marine resources, Change detection analysis to see marine and coastal environmental changes. In addition special skill development modules related to following special topics will be presented: Sea surface temperature mapping using medium and high resolution satellite sensors, Mapping ocean bathymetry using optical remote sensing data, Coastal erosion mapping and management, and Case studies related to marine and coastal systems.
The module, basically, will provide how to analyze the potential of the area for cultivating the commercial plantation (e.g. oil palm, Para rubber, rice, tea) using spatial analysis
techniques including remote sensing and Geographic information system. The learner would be able to learn the following: Overview of characteristics of selected crop plantation and their growing criteria. Important theoretical concepts in spatial analysis and modelling. How to choose and apply of appropriate methods for plantation potential analysis. Formulate a research problem in a topic area of the selection.
This module provide a view of disaster vulnerability modelling using GIS and Remote sensing technology for assessing, planning, and managing the disaster vulnerability on selected event and location. The learner would be able to learn the following: The nature of disasters, describe the characteristics of the natural and social phenomena associated with the occurrence of disasters. How GIS, Remote sensing and modeling can be used in emergency response in a disaster. Application of remote sensing data and image processing techniques to monitor hazardous events and assess damage. Design and implement their own GIS projects that integrate remote sensing data, GPS‐based field information, and analysis in geospatial framework.
Amphawa Explorer (AE) is a web‐based mapping application designed to support the preservation and care of water resources in Amphoe Amphawa, Thailand. It presents the results of field surveys of small canals called Lampradongs as well as other geographic data in order to help local people understand the condition of water resources in their subdistricts, and to increase their understanding about the relationship between the water and other geographic information such as land use and tourism sites.
In this module, we define sustainability as planning and policies aimed at preserving forest land, suitable agricultural land, and natural resources. The rapid growth urban area of town in northeast, Thailand is the case study site.Scenario designs explore different development trajectories which incorporated a) history and spatial pattern of village settlement; b) geographic accessibility; c) population; d) biophysical characteristics and e) social drivers.