full-time/part-time programme

Faculty of Forestry in Hajnowka
Study
programme:
Forestry
Degree level:
full-time/part-time programme:
First degree undergraduate
(BSc 7 semesters) full-time
Specialization
-
Diploma path:
-
Module name:
PHOTOGRAMMETRY
Winter/
obligatory/
2
FF00017
Semester:
ECTS
Module ID:
summer
optional
No. of hrs in
Individual
L-15
LC-15
semester:
study
Complete
with
Prerequisites:
Information Technology
prerequisites
or "-"
Individual
Evaluation must be relevant to the intended
Assessment:
study,
learning outcomes
Teaching
lecture,
methods:
Lecture - written exam; laboratory classes - reports evaluation, project
laboratory
evaluation;
classes,
Presentation of photogrammetry and computer image analysis as a technique widely used
Aims and
in forestry research. Students will gain important skills with use of Multiscan
objectives:
mofrphometric measurment programe.
Module type:
Module
content:
Learning
outcomes
LO1
LO2
LO3
LO4
LO5
LO6
student
workload
LO7
Photography as a source of information. Fundamentals of physical imaging. The
possibilities of using image research and practice, technology and biology. Fundamentals
of classical photogrammetry and its capacity. Photodetection. Characteristics of digital
image and the possibility of its processing. Basics of stereology. Morphometric
parameters used in measuring biological and technical objects . Measurement methods
by computerised morphometric analysis image. Characteristics of computer software used
for image analysis (MULTIScana example). Examples of the use of computer image
analysis. Detection of different objects in the programe. Opportunity to used computer
image analysis in forestry.
learning outcomes including knowledge, skills,
competences
demonstrate knowledge of basic techniques,
technologies and tools used in forestry
Relevance to the programme
learning outcomes
L1_W13
to know the basic tools and methods in forestry statistics
being able to use computer methods, mathematical and
statistical to describe and analyse the phenomena
occurring in the forests
to have the ability to access, analyse and to understand
usefulness of data associated with forestry and
interpretation of results independently
to use in practice the knowledge in the processing
information in order to improve forest infrastructure
to use of basic information technology and databases
related to the forestry
to have the ability to work independently and self to be
able to solve the problems - when necessary.
L1_W20
L1_U04
L1_U05, L1_U06
L1_U10
L1_U12
L1_K05
Lecture
participation in laboratory classes,
15 X 1h=
15 x 1h
15
15
work on projects, reports, etc.
15 x 1h=
15
participation in student-teacher sessions related
to the laboratory classes
preparation for and participation in exams/tests
quantitative
indicators
Student workload - activities that require direct
teacher participation
Student workload - practical skills activities
5 x 1h=
15x1h+2h
=
TOTAL:
5
17
67
ECTS
35
1,5
52
2
Thomas Luhman, Stuart Robson, Stephen Kyle, Ian Harley, Close Range
Photogrammetry: Principles, Techniques and Application. Multimedia CD – July 1, 2011
basic
references:
Karl Kraus Photogrammetry: Geometry from Images and Laser Scan. Hardcover 2007
Lillesand T.M., and R.W. Kiefer, Remote sensing and image interpretation. 4th ed, John
Wiley & Sons, 2000.
Ryerson R.A., (ed.), Manual of remote sensing. 3rd ed, Wiley, 1996.
Sitek Z., 1992: Zarys teledetekcji lotniczej i satelitarnej. Skrypty Uczelniane, Wydawnictwo
AGH, Kraków;
supplementary
references:
learning
outcomes
LO1
LO2
LO3
LO4
LO5
LO6
LO7
Department:
Date:
Wojnar L., Majorek M., 1994: Komputerowa analiza obrazu. Wydawnictwo Fotobit-Design,
Kraków.Grover C., Brundage B., 2007: Fotografia cyfrowa. Wydawnictwo Helion, Gliwice;
Wojnar L., Kurzydłowski K., Szala J., 2002: Praktyka analizy obrazu. Polskie Towarzystwo
Stereologiczne,
Zieliński K.W., Strzelecki M., 2002: Komputerowa analiza obrazu biomedycznego. Wstęp
do morfometrii i patologii ilościowej. Wydawnictwo naukowe PWN., Warszawa – Łódź.
type of class (if more than one) where
methods of assessing learning outcomes
the outcomes are assessed
lecture- final test - laboratory classes - reports
L,LC
evaluation, project evaluation
L
lecture- final test
laboratory classes - reports evaluation project
LC
evaluation
laboratory classes - reports evaluation project
LC
evaluation
laboratory classes - reports evaluation project
LC
evaluation
laboratory classes - reports evaluation project
LC
evaluation
laboratory classes - reports evaluation project
LC
evaluation
Faculty of
Forestry
14.04.2015
Group instructors:
mgr inż. Krzysztof Miastkowski
Coordinator:
mgr inż. Krzysztof Miastkowski