This module is dedicated to teaching and practice about technological advances and standardization efforts that enable integration and sharing of GI resources (vector data, raster data, tools, maps) across distributed platforms. Learning process starts with explaining the role of web services in developing distributed infrastructures and outlines the key technologies behind the Web GIS paradigms. Further, it lists the organizations responsible for developing standards within geospatial domains, defines the Spatial Data Infrastructure (SDI) frameworks and their role in spatial data exchange and integration in a distributed way as well as describe the relevant Open Geospatial Consortium (OGC) Specifications.
The learning objectives of this module are based on time as well as mobile oriented use cases of geospatial information. 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.
Any geospatial study involves geovisualization as either input information source or output information presentation. The Geovisualization module consists of two main blocks: (i) visualization concepts of coding and encoding of spatial information and (ii) practical practicing in geovisualization products. 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.
Large scale professional and commercial processing and analyses of data require atomization for time-saving and cost-effective applications of GIS. This module covers geo-application development issues with the main focus on mobile and desktop applications which include tools, models, scripts and software extensions. The module follows logical procedure of typical GIS project which consists of data collection, data management, and data analysis & visualisation. The practical examples, exercises, and assignments make the students learn as how to develop effective and proficient geo‐applications. The practical design, testing and utilisation of geo‐application bring the valuable skills for the student.
Climate change and its relation to carbon dynamics have become an element of important natural resource management options of land owners within the state, across the country, and the globe. This module presents the fundamentals, principal methodology, models and software tools for carbon quantification in different ecosystem and introduces to the concept of carbon sequestration in biological processes. Students will learn empirical methods and tools for estimating, quantifying, calculating and monitoring various carbon pools baselines and carbon stock changes with relation to land management measures.
The module introduces latest research and developments in remote sensing technology and image analysis techniques. It is divided into three substantial and balanced theoretical parts and real‐world practical 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.
The module encompasses an explanation of the concept of GeoDesign and where it comes 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 need for relief continues to increase driven principally by the consequences of various types of natural calamities and the effects of conflicts and violence etc. leading to increasing number of displaced people within as well as across the borders of their countries. Natural disasters and humanitarian crises remain an increasing threat to sustainable development and sustainable growth. This module covers the concepts of Civil Protection Management (CPM) and highlights together with the strategic use of Spatial Data Infrastructures In a netcentric approach, these frameworks will focus from a Common Operational Picture (COP) of the problem area and the organizations involved, together with a clear Situational Awareness (SA) of the strengths of these participating organizations and the hazards involved, to a status that can be managed in a more sustainable way and that provides a means for all parties to realize the best sustainable outcome.
Terrain and relief conditions are among the most important aspects of the physical environment. Digital Elevation Model (DEM) is the digital representation of the continuous variation of relief over space. A set of core GIS analytical techniques, digital terrain analysis, have long been used to characterize terrain conditions and derive terrain attributes. The objective of this course is to help student understand the concepts, principles of DEM, and be familiar with DEM generation using GIS software, knowing the methods of DEM based geo-analysis.
A city in general is large congregation of human population and economic activities which require a large number of amenities and facilities to support the city life. The ability to digitally describe, monitor and even model urban environment and activities in urban areas is becoming extremely important for people to live, to act and to plan in an informed way. This module includes general 3D model for expressing 3Dimensional objects in city environments. It introduces the student to the traditional and latest technologies for acquiring 3D geospatial information of various objects in cities, the methods used for constructing 3D city models with acquired 3D geospatial information and applications of 3D city models. On completion of this course, the students will be able to construct detailed and extensive 3D city models using various 3D modelling techniques.
Smart City is a complicated system and represents the effort of seeking to optimize existing urban infrastructure, network and human behaviour through deployment and utilization of information system and sensor system which can greatly improve the energy efficiency, water use, public safety, traffic congestion, food safety and many other area of city governance. During this 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.
Thus module given an overview of the interactions among people, vehicles, infrastructures and institution involved in transportation and communication systems and how the modern technologies like GIS can play a role in making these interactions more efficient. Addressing how GIS and related technology are adapted for Intelligent Transportation System (ITS) at improving the traffic safety, the effectiveness of surface transportation systems, this module focuses on data organization of road network and integration with traffic data, as well as models for improving transportation efficiency. It will showcase how advanced technologies in information systems, communications, and sensors are integrated with GIS and support the transportation system as an interconnected system of vehicle, driver and infrastructure within a certain social context by considering legislation, institution and organization.
Arid ecosystem has unique characteristics and these are fragile to various internal changes as well as external disturbances. It is not easy to restore if the balance among its different component is disturbed by the damages caused by both natural and anthropological factors. Better understanding of arid ecosystem and their well-designed management requires various types of geospatial data and sophisticate methods for monitoring the processes, analysing the trends and predicting the future. This module provides understanding of arid ecosystem and its importance as well as applications of geospatial technology for their management. The topics are divided into 5 parts which are Understanding of Arid Ecosystem, Monitoring of Arid Ecosystem, Arid Ecosystem Modelling, Management of arid ecosystem, Virtual field excursion for different arid ecosystems.
The earth keeps on experiencing climatic changes that influence the various land surface processes. The study of climate change requires thorough understanding of the scientific basis of both natural and anthropogenic causes and then focus on the strategies of adaptation. This module presents the principles of energy balance and moisture circulation and describes the relations to the causes and effects of climate change. The module provides thorough understanding of the scientific basis of both natural and anthropogenic climate and environmental changes over past 2000 years. 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.
This module focusses on concepts of GIS for Health as well as analysis and visualisation of datasets related to various aspects of health at global and local scales. It includes techniques of data acquisition, modification and Geoprocessing, disease surveillance, hotspot identification, disease trends analysis, disease risk mapping as well as Satellite Navigation for faster trauma Assistance, The student will get practical hand-on experience of working with the case studies related to epidemiology and apply various statistical and modelling tools for understanding disease patterns and dynamic of their diffusion. They will also be trained on finding social, economic and environmental factors influencing particular diseases in an area.
Aquatic biodiversity continues to be influenced by various environmental stressors like changes in water quality, pollution, river-runoff and dams or other barriers etc. Changing climate resulting in erratic water temperature, fluctuations in rainfall and water levels in coastal and marine environments also pose significant challenges to their productivity. Geographic Information Systems (GIS) and Remote Sensing (RS) are useful tools for sustainable management of coastal and marine resources, coastal aquaculture and marine-culture. GIS & RS facilitate acquisition of appropriate data as well as its manipulation, processing and analysis. This module outlines the concepts of GIS & RS and their applications in aquatic environment management and planning. The practical exercises include GIS & RS use in detection of existing fish farming locations, mapping of plankton distributions in estuaries and marine areas, benthic habitat mapping as well as Fish Habitat Suitability Modelling (FHSM).
Commercial plantation is a type of cultivated area whose species and structure have been simplified artificially to produce only a few commercially usable products like timber, fuel, resin, oil, rubber and fruits etc. The commercial demand of such agricultural products is increasing rapidly so it is important to assess both positive and negative aspects of such activities for understanding their socio-economic and environmental outcomes. The applications of geospatial data and techniques are highly useful for situation assessment, change monitoring and future spatial planning purposes. This module provides understanding of the commercial agricultural and the factors affecting cultivation of various plants and crops. The hands-on practical training is given for identifying the areas suitable for cultivation of selected commercial plantations (e.g. oil palm, Para rubber, rice, tea).
This module provide a view of disaster vulnerability modelling using Geographical Information System (GIS) and Remote Sensing (RS) technologies for assessing, planning, and managing the disaster vulnerability of selected event and locations. The participants would learn the following: understand the nature of disasters; identify the characteristics of natural and social phenomena associated with the occurrence of disasters; how to use GIS and RS for modelling the scenarios for assessing the levels of risk and planning appropriate emergency response. The practical parts include flood risk assessment and management, landslide risk assessment and management, haze risk assessment and management, Drought risk assessment and management.
Larger proportion of population in developing countries lives in rural areas and their livelihood depends on agricultural activities. Many areas around the world are experiencing fast urban growth and commercial economic activities which usually lead to expansion of urban areas on agricultural land in surrounding rural areas. This reduces the availability of fertile agricultural land and, combined with the global climate change, decreases food production. Consequently, food security for large proportions of rural population become a striking problem. This module discusses number of food security issues and demonstrates use of spatial analyses methods to assess vulnerability to food insecurity at country and household levels. The practical examples of northeast Thailand have been used to demonstrate spatially-explicit model-based simulations for land use land cover change scenarios within the rubric of sustainability science.
This module introduces concepts, values, techniques and tools associated with Community and Participatory GIS (CP-GIS). CP-GIS is an approach that involves groups and communities in the process of creating geospatial information systems to address their own local problems. CP-GIS often involves working with stakeholders from remote, impoverished or marginalized groups who lack the technological resources and the expertise to use traditional GIS. In contrast to traditional GIS, which is typically formal, general purpose, complex, expensive and owned by experts, CP-GIS tends to be informal and opportunistic, designed to solve specific community problems, as simple as possible (even at the expense of rigor), affordable, and owned by the community. CP-GIS comprises a philosophy and value set as well as a collection of typical techniques. Hence, this module involves both “soft” and “hard” knowledge, both of which are essential for applying CP-GIS strategies. The high-level goal of this module is to prepare the student for leading or contributing to real world CP-GIS projects.