Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.

LEARNING OUTCOMES

To understand techniques and instruments of photogrammetric, laser scanning and remote sensing measurements. To understand theories of photogrammetric and laser scanning measurements. To apply least-squares adjustment to geodetic and photogrammetric problems. To understand the physical basics of remote sensing and be able to perform pre-processing, analysis and interpretation of remotely sensed data. To recognize alternatives and possibilities of photogrammetric, laser scanning and remote sensing applications. To understand registration and integration of data. To be able to solve case-dependent surveying problems.

Credits: 5

Schedule: 25.10.2022 - 05.12.2022

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Matti Vaaja

Contact information for the course (applies in this implementation):

CEFR level (valid for whole curriculum period):

Language of instruction and studies (applies in this implementation):

Teaching language: English. Languages of study attainment: Finnish, Swedish, English

CONTENT, ASSESSMENT AND WORKLOAD

Content
  • valid for whole curriculum period:

    The course gives theoretical background on photogrammetric, laser scanning and remote sensing measurements. Measuring processes include calibration, mathematical sensor models, data pre-processing, data analysis, data integration, and visualization. In addition, the course highlights implementations of modern data acquisition instruments.

Assessment Methods and Criteria
  • valid for whole curriculum period:

    Examination and assignments

Workload
  • valid for whole curriculum period:

    Lectures (20 h), assignments (60 h), self-study (28 h), preparation to examination + examination (27 h)

DETAILS

Substitutes for Courses
Prerequisites
SDG: Sustainable Development Goals

    3 Good Health and Well-being

    4 Quality Education

    9 Industry, Innovation and Infrastructure

    11 Sustainable Cities and Communities

    13 Climate Action

    15 Life on Land

FURTHER INFORMATION

Further Information
  • valid for whole curriculum period:

    Teaching Language : English

    Teaching Period : 2022-2023 Autumn II
    2023-2024 Autumn II

    Enrollment :

    Registration for the courses via Sisu (sisu.aalto.fi).