ULG573003 Spatial data analysis (in Eng.)

Art
Vorlesung und Seminar
Semesterstunden
2.5
Vortragende/r (Mitwirkende/r)
Organisation
Angeboten im Semester
Wintersemester 2022/23
Unterrichts-/ Lehrsprachen
Englisch
Lehrinhalt

GIS in precision farming

General overview
GIS and Remote Sensing
Available software

Spatial data management
Data bases and data formats
Coordinate reference systems
Import (integration of external data) and Export of data

Spatial data acquisition
Raster data: focus on remotely sensed images
Vector data: including integration of GNSS data from field measurements

Spatial data analysis
Spatial interpolation methods: from point to surface
Geometric intersection of spatial data
Spatial modelling and simulation

Data visualization and documentation
Map creation
Metadata: data documentation
Lehrziel

Participants distinguish and explain the principles of geographic information technology and remote sensing

Participants assess, create and manage GIS projects and apply geodata within their field

Participants gain the knowledge to apply the principles of GIS and know how to implement spatial data in a GIS environment

Participants can create, synthesis and analyze their own spatial data sets according to GIS standards

Participants investigate the pros and cons about spatial data management

Participants acquire spatial data and have the ability to compare different GIS tools for their own field data for surface calculations and simulations as well to implement GIS data from different sources

Participants know how to combine and analyze spatial data from different sources and are able to work with different geometric and thematic layers.

Participants can visualize the spatial results for decision support and can document the spatial data according to international metadata standards

Participants gain the competence to create different kind of maps and document spatial data sets.

Participants have the competence to decide on the application of appropriate visualization tools and to establish actions in accordance to these results.
Noch mehr Informationen zur Lehrveranstaltung, wie Termine oder Informationen zu Prüfungen, usw. finden Sie auf der Lehrveranstaltungsseite in BOKUonline.