REMOTE SENSING AND GEOGRAPHICAL INFORMATION SYSTEMS
| Title | ΤΗΛΕΠΙΣΚΟΠΗΣΗ ΚΑΙ ΓΕΩΓΡΑΦΙΚΑ ΣΥΣΤΗΜΑΤΑ ΠΛΗΡΟΦΟΡΙΩΝ / REMOTE SENSING AND GEOGRAPHICAL INFORMATION SYSTEMS |
| Code | Ν237Ε |
| Faculty | Agriculture, Forestry and Natural Environment |
| School | Agriculture |
| Cycle / Level | 1st / Undergraduate, 3rd / Doctorate |
| Teaching Period | Winter |
| Common | Yes |
| Status | Active |
| Course ID | 420001888 |
Programme of Study: PPS Geōponías (2019-sīmera)
Registered students: 0
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| KORMOS | Elective Courses belonging to the other | Winter | - | 5 |
| EGGEIŌN VELTIŌSEŌN, EDAFOLOGIAS KAI GEŌRGIKĪS MĪCΗANIKĪS | Elective Course belonging to the selected specialization (Elective Specialization Course) | Winter | - | 5 |
| Academic Year | 2016 – 2017 |
| Class Period | Winter |
| Faculty Instructors |
|
| Instructors from Other Categories |
|
| Weekly Hours | 4 |
| Total Hours | 234 |
| Class ID | 600054027
|
Class Schedule
| Building | Γεωπονίας & Δασολογίας |
| Floor | Όροφος 5 |
| Hall | ΕΡΓΑΣΤΗΡΙΟ ΣΗΡΟΤΡΟΦΙΑΣ ΜΕΛΙΣΣΟΚΟΜΙΑΣ (62) (39) |
| Calendar | Δευτέρα 19:00 έως 21:00 |
| Building | Γεωπονίας & Δασολογίας |
| Floor | Όροφος 1 |
| Hall | ΑΜΦΙΘΕΑΤΡΟ Γ (36) |
| Calendar | Παρασκευή 19:00 έως 21:00 |
Course Type 2016-2020
- Scientific Area
- Skills Development
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
- Face to face
Digital Course Content
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
- Greek (Instruction, Examination)
- English (Examination)
Prerequisites
General Prerequisites
Students should be familiar with the use of computers.
Learning Outcomes
Upon successful completion of this course, students will be able to:
1. know the basic principles of remote sensing and GIS and the main applications in agriculture,
2. be familiar with the common sources of geographic data and perform image photointerpretation,
3. handle the main tools of digital image processing software and apply them to the common types of satellite images.
General Competences
- Apply knowledge in practice
- Retrieve, analyse and synthesise data and information, with the use of necessary technologies
- Make decisions
- Work autonomously
- Work in an international context
- Work in an interdisciplinary team
- Advance free, creative and causative thinking
Course Content (Syllabus)
Technical details of aerial photography, principles of photogrammetry, electromagnetic spectrum, spectral signatures of surface targets, interpretation of aerial photography, applications in soil mapping and evaluation, satellite remote sensing, satellites for exploration of natural resources, photographic and non-photographic systems, technical details of image acquisition, satellite image interpretation, optical and digital processing, digital image enhancement, applications for land cover mapping, crops identification, yield forecast, soil moisture mapping, sampling methods, supervised and unsupervised pixels classification, precision farming, spectroscopy. GIS, geographic models, importing and exporting geographical data, data formats, analyzing geographic information, overlay analysis, proximity analysis, cartographic output, elements of thematic cartography, applications.
Keywords
remote sensing, satellites, mapping, GIS, geoinformatics
Educational Material Types
- Notes
- Slide presentations
- Book
- Educational geographical data for conducting laboratory exercises
Use of Information and Communication Technologies
Use of ICT
- Use of ICT in Course Teaching
- Use of ICT in Laboratory Teaching
- Use of ICT in Communication with Students
Description
Use of MS Powerpoint for teaching, and ERDAS Imagine in laboratory exercises in computers room. Use of eLearning.
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 50 | ✓ | |||
| Laboratory Work | 50 | ✓ | |||
| Tutorial | 15 | ✓ | ✓ | ✓ | |
| Written assigments | 15 | ✓ | ✓ | ||
| Total | 130 |
Student Assessment
Description
80% written exams
20% individual project assignment (a set of exercises) - Exams on computer
Student Assessment methods
- Written Exam with Short Answer Questions (Formative, Summative)
- Written Exam with Extended Answer Questions (Formative, Summative)
- Labortatory Assignment (Formative, Summative)
Bibliography
Course Bibliography (Eudoxus)
Ν. Συλλαίος, Ι. Γήτας και Γ. Συλλαίος (2007). Εισαγωγή στα Γεωγραφικά Συστήματα Πληροφοριών και στην Τηλεπισκόπηση. Εκδόσεις Γιαχούδη, Θεσσαλονίκη, 544 σελ. (Κωδ. Εύδοξος: 7965)
Additional bibliography for study
Θ. Αστάρας (2011). Τηλεπισκόπιση - Φωτοερμηνεία στις γεωεπιστήμες, 2η Έκδοση. Εκδόσεις Αϊβάζη, Θεσσαλονίκη, 484 σελ.
Σ. Μερτίκας (2006). Τηλεπισκόπηση & Ψηφιακή ανάλυση εικόνας. Εκδόσεις Ίων, 449 σελ.
Κ. Κουτσόπουλος (2005). Γεωγραφικά Συστήματα Πληροφοριών και ανάλυση χώρου, 2η έκδοση. Εκδόσεις Παπασωτηρίου, 401 σελ.
Τ. Lillesand, R.W. Kiefer, J. Chipman (2007). Remote Sensing and Image Interpretation, 6th edition. Wiley, 804 pages.
Last Update
06-11-2015
