AE2503 Environmental Data 7.5 credits

Environmental Data

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, such as geochemical, geophysical, digital elevation, and remote sensing data.

  • Educational level

    Second cycle
  • Academic level (A-D)

    C
  • Subject area

    Built Environment
  • Grade scale

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

Course offerings

Autumn 13 for programme students

Autumn 13 for programme students

  • Periods

    Autumn 13 P1 (7.5 credits)
  • Application code

    50375
  • Start date

    2013 week: 36
  • End date

    2013 week: 44
  • Language of instruction

    English
  • Campus

    KTH Campus
  • Number of lectures

  • Number of exercises

  • Tutoring time

    Daytime
  • Form of study

    Normal
  • Number of places *

    Min. 1

    *) The Course date may be cancelled if number of admitted are less than minimum of places.

  • Schedule

    Schedule (new window)
  • Course responsible

    Katrin Grünfeld <katring@kth.se>
  • Teacher

    Katrin Grünfeld <katring@kth.se>
  • Target group

    Open only for applicants to Science Without Borders, Brazil

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

Proficiency in English (English B or equivalent). Bachelor's degree in the field of civil engineering, environmental engineering, or another subject with clear relevance to the course, of at least 180 higher education credits, which includes the following: Basic knowledge in mathematics for at least 20 higher education credits, and Basic knowledge in numerical analysis, programming, or equivalent, for at least 6 higher education credits.

Literature

Course compendium, lecture notes and exercise instructions. The most recent edition of thecourse literature is posted on the course’s homepage at least four weeks before the course starts.

Examination

  • LAB1 - Laboratory Work, 3.0 credits, grade scale: P, F
  • TEN1 - Examination, 4.5 credits, grade 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/Engineering Geology

Contact

Katrin Grünfeld, katring@kth.se

Examiner

Joanne Robison Fernlund <joanne@kth.se>

Version

Course plan valid from: Autumn 12.
Examination information valid from: Autumn 07.