Credits: 5

Schedule: 30.10.2018 - 14.12.2018

Teacher in charge (valid 01.08.2018-31.07.2020): 

Prof. Matti Vaaja

Teaching Period (valid 01.08.2018-31.07.2020): 

II (autumn term)

Learning Outcomes (valid 01.08.2018-31.07.2020): 

To understand techniques and instruments of photogrammetric, laser scanning and remote sensing measurements. To understand theories of photogrammetric and laser scanning measurements.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.

Content (valid 01.08.2018-31.07.2020): 

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 01.08.2018-31.07.2020): 

Examination and assignments

Workload (valid 01.08.2018-31.07.2020): 

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

Study Material (valid 01.08.2018-31.07.2020): 

Lecture notes and additional literature

Substitutes for Courses (valid 01.08.2018-31.07.2020): 

Maa-57.3170 Lähifotogrammetria (3 op) AND Maa-57.3180 Laserkeilaus (2 op)

Course Homepage (valid 01.08.2018-31.07.2020): 

https://mycourses.aalto.fi/course/search.php?search=GIS-E1040

Prerequisites (valid 01.08.2018-31.07.2020): 

It is recommended (but not mandatory) to take courses GIS-E1020 From Measurements to Maps and GIS-E1030 Introduction to Spatial Methods before participating in this course.

Grading Scale (valid 01.08.2018-31.07.2020): 

0-5

Description

Registration and further information