Remote sensing and marine optics
BASIC DATA
course listing
A - main register
course code
NSO8061
course title in Estonian
Kaugseire ja mereoptika
course title in English
Remote sensing and marine optics
course volume CP
-
ECTS credits
6.00
to be declared
yes
assessment form
Examination
teaching semester
spring
language of instruction
Estonian
English
Study programmes that contain the course
code of the study programme version
course compulsory
no
Structural units teaching the course
LM - Department of Marine Systems
Timetable link
Version:
VERSION SPECIFIC DATA
course aims in Estonian
Anda baasteadmisi mereoptikast ja kaugseirest. Kaugseire andmete töötlemise ja analüüsi oskuste omandamine.
course aims in English
To give basic knowledge on marine optics and remote sensing. To provide skills needed for remote sensing data processing and analyzing.
learning outcomes in the course in Est.
Tudeng on omandanud vajalikud oskused ja teadmised kaugseire andmete kasutamiseks looduslike veekogude seires. Tudeng oskab kaugseire andmetest saadud informatsiooni analüüsida ja seostada kontaktmõõtmiste ning mudeliandmetega.
learning outcomes in the course in Eng.
The students will have necessary knowledge and skills for exploiting remote sensing data for monitoring of natural waterbodies. Student will have the skills to analyze the remote sensing data and associate it with information retrieved from contact measurements and modelled fields.
brief description of the course in Estonian
Kiirguslevi atmosfääris ja meres sõltuvalt keskkonna optilistest ja füüsikalistes omadustest. Merevee optiliste omaduste (neeldumine, hajumine jne) seostamine veekvaliteedi parameetritega; Aktiivsete (radar) ja passiivsete (optiline) kaugseiremeetodite alused. Matemaatilised ja statistilised meetodid biogeofüüsikaliste väljade arvutamiseks kaugseire andmetest (satelliit, droon, lennuk, kaldaradar). Kaugseire andmete töötlusalgoritmide arendamine ja nende kasutamine mere(keskkonna) seires.
brief description of the course in English
Radiative transfer in the atmosphere and ocean; Relating the optical properties (absorption, scattering etc.) of a water body with water quality parameters; Basic principles of active (radar) and passive (optical) remote sensing; Implementation of mathematical and statistical methods for retrieval of geobiophysical fields from remote sensing data (satellite, airborne sensors, drones, coastal radars); Development of remote sensing algorithms for their exploitation in marine environment monitoring.
type of assessment in Estonian
-
type of assessment in English
-
independent study in Estonian
4 kaugseire andmete töötlemise ja analüüsi ülesannet kasutades satelliitpiltide töötlemise toolbox’i (SNAP) ja levinud programmerimis keeli (Python, Mathlab). Tuginedes teadus artiklitele teha seminari ettekanne kaugseire andmete töötluse ja analüüsi teemal.
independent study in English
4 exercises on satellite image processing and analysis using dedicated toolboxes (SNAP) and common computer languages (Python, Mathlab). Seminar presentation on image processing method and data analysis based on the scientific publications.
study literature
1) Loengumaterjalid veebis http://msi.ttu.ee/~rivo.uiboupin/Kaugseire_ja_mereoptika/
2) Robinson, I.S. 2004. Measuring the Oceans from Space. Springer.
2) Robinson, I.S. 2004. Measuring the Oceans from Space. Springer.
study forms and load
daytime study: weekly hours
4.0
session-based study work load (in a semester):
lectures
2.0
lectures
-
practices
0.0
practices
-
exercises
2.0
exercises
-
lecturer in charge
-
LECTURER SYLLABUS INFO
semester of studies
teaching lecturer / unit
language of instruction
Extended syllabus
2024/2025 spring
Rivo Uiboupin, LM - Department of Marine Systems
English