As a result of the COVID-19 Pandemic, this year’s GIS Workshop has been postponed to next year July 2021. Be looking out for more information as the time approaches. Please, stay safe and healthy until we get the chance to meet again. Thank you.
Geospatial science combines technology, data, and people to answer questions about our natural and man-made world. Geographic Information System (GIS), and Remote Sensing broadly constitute the field of geospatial science. Today, geospatial technologies power millions of decisions in areas such as health, water, agriculture, weather and climate, energy, disasters, urbanization, transportation, crime, and security. Geospatial science is an exciting multidisciplinary field, with diverse applications and job opportunities. This training workshop will combine formal presentation with hands-on practical exercises, both designed to engage participants in active interaction with geospatial concepts, software, technologies, data, and real-world problems.
Attraction: The GIS training workshop will be climaxed with an GIS User Conference where participants will exhibit their problem-based projects, undertake poster presentations, network with experts, and a certificate of completion will be given to all participants upon completion of the GIS Workshop.
On behalf of the Organizing Committee, it is a great pleasure to welcome geospatial users, analyst, and developers to KNUST, Kumasi for the 2nd Geospatial User Conference. A forum to foster the progress in the field of science and technology of location data, through contributions from your expertise to what promises to be an exciting meeting of learning, networking and collaboration. The 2020 Geospatial User Conference is a three-day event which will be held jointly with the International Conference on Geography and Development (INCOGaD-2020) on 29-31 July, 2020 on the theme, “geospatial applications in development”. The meeting will host plenary speakers, keynote speakers, in addition to technical presentations and workshops, thus creating a platform for sharing, exchanging and exploring new avenues of Geospatial Science and Technology, and related research and latest developments. We hope that Geospatial User Conference-2020 serve as an innovative platform for creating new opportunities and establishing new collaborations.
This module covers the essential concepts and methods of geographic data and analysis using GIS, with emphasis on real world applications. Key topics covered will include map design and composition, spatial data collection, data models and structures, basic GIS operations, map projection and coordinate referenced systems, thematic mapping. Participants will use GIS software to handle and analyze spatial data.
This module encompasses the basic concepts of geographic data and analysis using GIS, with emphasis on field data collection. Key topics covered will include spatial data collection, Global Positioning System (GPS) and its data collection and integration into GIS, accessing online GIS data, data models and structures, coordinate referenced systems, and map design and composition. Participants will collect field GPS data, and use GIS software to handle and analyze spatial data.
This module covers the science and technology of remote sensing in terms of its data acquisition, platform and sensor systems, data sources, and analysis procedures towards derivation of information for practical societal applications. Topics addressed will include the remote sensing process, data properties, the electromagnetic spectrum, digital imagery, image interpretation, land observation satellites, and preprocessing of remotely sensed imagery. Participants will use geospatial software for remote sensing and GIS to handle and analyze remotely sensed imagery.
This module encompasses analytical operations to derive outputs from geospatial data, with specific focus on data driven approaches. Topics addressed will cover analytical operations and methods, network analysis, geoprocessing, raster data analysis, terrain analysis, and spatial interpolation. Participants will use geospatial (or GIS) software to analyze vector and raster data covering natural and urban environments.
This module encompasses analytical operations to derive outputs from geospatial data, with specific focus on raster data. Topics addressed will cover geoprocessing, raster data analysis, terrain analysis, GIS automation, hydrological analysis, and environmental modeling. Data for application areas will include land surface data, digital elevation model, water resources, rural and urban system dynamics. Participants will use geospatial (or GIS) software to analyze vector and raster data covering natural and urban environments.
Requirement: GeoTech101 or GeoTech102 or GeoTech103
This module covers the science and technology of remote sensing in terms of its preprocessing procedures, and analysis and derivation of information for practical societal applications. Topics addressed will include land observation satellite data, preprocessing of remotely sensed imagery, image classification, change detection, land use and cover mapping. Data for application areas will focus on land surface monitoring of natural and urban environments.
This module covers computer programming of GIS and Remote Sensing analysis through Python scientific programming language. Specific topics include introduction into Python programming, the ecosystem of geospatial software and libraries, Python scripting for geospatial data acquisition, processing and analysis. Data for hands-on applications will focus on topography, land cover, and other data sets from human and natural environment systems.
Requirement: GeoTech101 or GeoTech102 or GeoTech103
This module covers spatial database management systems (SDBMS), its functionalities and features. Specific topics include relational database management, Structured Query Language (SQL), spatial database design, spatially-enabled databases, spatial indexes, open source and commercial spatially-enabled databases.
Requirement: GeoTech201 or GeoTech202 or GeoTech203
This course covers the geospatial concepts and methods that underpin spatial network analysis, with application areas including utility (water, electrical, gas), communication networks and transport networks (road, rail, air). Specific topics include geocoding, map matching, spatial routing, and shortest path finding, estimation of service/catchment areas or isochrones and origin-destination matrix computations. Participants will learn to create spatial network data, and perform analysis on real world networks.
|Registration Begins||Registration Deadline||Workshop Begins||Workshop Ends|
|January 1, 2021||July 1, 2021||July 1, 2021||July 30, 2021|
On completion of this training program, participants are expected to:
Session duration: 2.5hrs (1hr presentation, 1.5hr practical)
Meeting frequency: 3 times per week (Monday, Wednesday, Friday)
Online learning management system: schoology (www.schoology.com)
Students, academics, scientists, social scientists, engineers, planners, architects, and professionals.
No prior experience in GIS, Remote Sensing or other locational technologies is required.
Phone: 054 776 6892 (for Mr. Amposah)
2 persons in a room: GHS 35 per day.
3 persons in a room: GHS 40 per day.
4 persons in a room: GHS 50 per day.
2 persons in 2 rooms: GHS 35 per day.
Each room is allocated with a dedicated washroom.
Phone: 024 223 7351 (for Mr. George Gyamfi)
Rate: GHS 5 per bed per day
Each room has a maximum of two bunk-beds.
Department of Geography & Rural Development KNUST, Kumasi, Ghana
Phone: +233 24 203 5731
UITS Computer Lab, Main Library, KNUST, Kumasi, Ghana.