AE2503 Environmental Data 7.5 credits

Miljödata

The overall aim of the course is to give knowledge and experience in theory and practice of geographic information systems (GIS) – a set of computer tools to handle spatial (georeferenced) data. GIS is a typical decision support tool for spatial planning and an analysis tool for environmental studies. GIS capabilities include geodatabase, geovisualization and geoprocessing functions. During the course the students will get familiar with the raster and vector view of the world and practice data visualization and manipulation tasks applied to real environmental/spatial datasets.

  • Education cycle

    Second cycle
  • Main field of study

    Built Environment
    Environmental Engineering
  • Grading scale

    A, B, C, D, E, FX, F

Course offerings

Autumn 19 for programme students

Autumn 18 for programme students

Intended learning outcomes

After the course the students should be able to:

•          Describe the way geographical information systems (GIS) are built up and operate.

•          Compare and evaluate data collection methods and input techniques.

•          Interpret remote sensing data and describe related physical phenomena.

•          Characterize different types of spatial data using visualization and statistics.

•          Choose and justify appropriate data processing and analysis approaches according to the characteristics of data and intended analysis outcome.

•          Build models comprising sequences of GIS operations, and perform and evaluate sensitivity analysis.

•          Interpret and relate the GIS analysis outcomes to source data quality, discuss errors and uncertainty and suggest ways of improving the result.

•          Design a GIS case study to solve a specific task.

•          Document and communicate the results of a GIS study.

Course main content

The course gives knowledge and experience in theory and practice of geographic information systems (GIS) – a set of computer tools to handle spatial (georeferenced) data. During the course the students will get familiar with the raster and vector view of the world and practice data visualization and analysis tasks applied to real environmental datasets. The course comprises collection of field data using GPS, data input and conversion, data visualization and statistics, data quality and integration, georeferencing, Remote Sensing data, multispectral classification, image enhancement and analysis, data interpolation.

Eligibility

Bachelor's degree or at least 150 ECTS credits in the field of Civil Engineering, Environmental Engineering, or another subject with clear relevance to the course. Proficiency in English (English B or equivalent).

Literature

Kurskompendiet, föreläsningsanteckningar och laborationsinstruktioner. Den senaste versionen av kurslitteraturen anslås på kursens hemsida senast fyra veckor före kursstarten.

Examination

  • LAB1 - Laboratory Work, 3.0, grading scale: P, F
  • TEN1 - Examination, 4.5, grading scale: A, B, C, D, E, FX, F

Requirements for final grade

Written open book examination (TEN1 4,5 credits), participation in obligatory computer labs, submitted lab reports (LAB1 3,0 credits).

Offered by

ABE/Sustainability and Environmental Engineering

Contact

Katrin Grünfeld, katring@kth.se

Examiner

Ulla Mörtberg <mortberg@kth.se>

Add-on studies

AE2502 Natural Resources Management

Version

Course syllabus valid from: Autumn 2014.
Examination information valid from: Autumn 2007.