PM497 Environmental Monitoring and Assessment

3 ECTS - 3-0 Duration (T+A)- 7. Semester- 3 National Credit

Information

Code PM497
Name Environmental Monitoring and Assessment
Term 2022-2023 Academic Year
Semester 7. Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 3 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. HAKAN ALPHAN
Course Instructor Prof. Dr. HAKAN ALPHAN (A Group) (Ins. in Charge)


Course Goal / Objective

Learns the methods used in determination of changes that take place in landscapes and prediction of future changes.

Course Content

What is environmental monitoring. Simple, Survey, Proxy and Integrated monitoring approaches. Requirements for monitoring, components of monitoring. Landscape-level environmental indicators and monitoring: Spatial and time scales for monitoring. Frequency of monitoring. Change detection: satellite datasets for change detection; indices and other transformed data for change detection. Pre-processing of spatial data for change detection, geographical, geometrical and radiometric corrections. Bi-temporal and multi-temporal change detection methods. Pre- and post-classification change detection techniques. Pairwise comparisons and extracting change information from composite datasets. Change trends and future predictions. General outline of modeling and cellular automata.

Course Precondition

N/A

Resources

Lecture notes and/or study guides distributed on a weekly basis.

Notes

Wiersma, B (Ed.). 2004. Environmental Monitoring (1st Edition). CRC Press, 792 p.


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Comprehends the scope of environmental monitoring and its importance in spatial planning.
LO02 Understands the detection methods for the change as digital and analog in basic level
LO03 lists the methods of land change modelling.
LO04 Builds a monitoring plan by selecting appropriate data sets, methods and algorithms


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Defines basic concepts and principles in Landscape Architecture. 3
PLO02 Bilgi - Kuramsal, Olgusal Landscapes use original or human-transformed elements of natural systems to meet human needs in a sustainable way. 3
PLO03 Bilgi - Kuramsal, Olgusal Learns the principles and practice of landscape ecology and ecological planning/design and its function in landscape architecture practices.
PLO04 Bilgi - Kuramsal, Olgusal Understands the physical and biological indicators required for the description and classification of landscapes at a basic level. 4
PLO05 Bilgi - Kuramsal, Olgusal Gains knowledge about nature, natural processes, characteristics and performances of some organic elements and uses them in the arrangement, protection, development and restoration of landscapes. 3
PLO06 Bilgi - Kuramsal, Olgusal Can use the knowledge to reflect the philosophy, elements, principles and tools of landscape design into the detailed landscape design process.
PLO07 Beceriler - Bilişsel, Uygulamalı Uses the knowledge of plant material, which is one of the basic elements of Landscape Architecture, in the arrangement, protection, development and repair of landscapes.
PLO08 Beceriler - Bilişsel, Uygulamalı Gains and applies the ability to identify, define, formulate and solve engineering problems.
PLO09 Beceriler - Bilişsel, Uygulamalı Uses sufficient basic knowledge about the basic principles, processes and tools of Landscape Architecture together with solutions in the professional field.
PLO10 Beceriler - Bilişsel, Uygulamalı Gains the ability to analyze a system or process and to design and implement it under realistic constraints to meet desired requirements. 3
PLO11 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği The ability to work effectively individually or in multi-disciplinary teams gains the self-confidence to take responsibility.
PLO12 Yetkinlikler - Öğrenme Yetkinliği Gains the ability to collect data, analyze and interpret results with the ability to use information technologies effectively. 4
PLO13 Yetkinlikler - Öğrenme Yetkinliği Be aware of the issues of entrepreneurship and innovation in the field of landscape architecture by having knowledge of current issues.
PLO14 Yetkinlikler - Öğrenme Yetkinliği Awareness of the necessity of lifelong learning with the ability to access information and to search for resources for this purpose, to use databases and other information resources; acquires the ability to follow the developments in science and technology and constantly renew themselves.
PLO15 Yetkinlikler - İletişim ve Sosyal Yetkinlik Gains the ability to communicate effectively in Turkish verbal and written.
PLO16 Yetkinlikler - İletişim ve Sosyal Yetkinlik Gaining the visual, verbal and written ability to improve and explain the ideas of Landscape Architecture by utilizing the contemporary communication methods.
PLO17 Yetkinlikler - Alana Özgü Yetkinlik Uses the knowledge gained in research philosophy and methods in social and human fields related to Landscape Architecture studies in related fields.
PLO18 Yetkinlikler - Alana Özgü Yetkinlik Gains the knowledge and competence of reflecting the basic principles, processes and tools of Landscape Architecture to the detailed landscape design process for the practice of the profession.
PLO19 Yetkinlikler - Alana Özgü Yetkinlik Gains the competence to develop plans and design proposals sensitive to society, space and nature for different landscape types.
PLO20 Yetkinlikler - Alana Özgü Yetkinlik With the awareness of professional and ethical responsibility, awareness of project management, environment and occupational safety; gains awareness about the legal consequences of engineering practices.


Week Plan

Week Topic Preparation Methods
1 What is environmental monitoring. Requirements for monitoring, components of monitoring. Review of course content, flow and learning outcomes. Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
2 Landscape-level environmental indicators and monitoring: Spatial and time scales for monitoring. Frequency of monitoring Supporting course material, and other related sources Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
3 Change detection: satellite datasets for change detection; indices and other transformed data for change detection Supporting course material, and other related sources Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
4 Pre-processing of spatial data for change detection, geographical, geometrical and radiometrical corrections Supporting course material, and other related sources Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
5 Bi-temporal and multi-temporal change detection methods Supporting course material, and other related sources Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
6 Pre- and post-classification change detection techniques Supporting course material, and other related sources Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
7 Pairwise comparisons and extracting change information from composite datasets Supporting course material, and other related sources Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
8 Mid-Term Exam Preparing for the exam by studying lecture notes and presenations until midterm Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
9 spatial dsitribution, scale and extent of change, cross tabulation and thematic change Supporting course material, and other related sources Ölçme Yöntemleri:
Yazılı Sınav
10 spatial dsitribution, scale and extent of change, cross tabulation and thematic change (continued) Supporting course material, and other related sources Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
11 Change trends and future predictions. Supporting course material, and other related sources Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
12 Change prediction models (UrbanSim, SLEUTH, Markov) Supporting course material, and other related sources Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
13 Lab work recognition of relevant image processing and data analysis software Öğretim Yöntemleri:
Alıştırma ve Uygulama
14 Lab work (continued) recognition of relevant image processing and data analysis software Öğretim Yöntemleri:
Alıştırma ve Uygulama
15 Presentations of micro projects Preparation of project presentations Öğretim Yöntemleri:
Proje Temelli Öğrenme
16 Term Exams The preparation of all the topics for the exam by studying Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams The preparation of all the topics for the exam by studying Ölçme Yöntemleri:
Yazılı Sınav


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 14 2 28
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 6 6
Final Exam 1 10 10
Total Workload (Hour) 86
Total Workload / 25 (h) 3,44
ECTS 3 ECTS

Update Time: 18.11.2022 11:07