P352 Landscape Analysis II

3 ECTS - 2-0 Duration (T+A)- 6. Semester- 2 National Credit

Information

Code P352
Name Landscape Analysis II
Term 2023-2024 Academic Year
Semester 6. Semester
Duration (T+A) 2-0 (T-A) (17 Week)
ECTS 3 ECTS
National Credit 2 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

Deriving landscape-level information on environmental resources using various data collection and analysis methods that rely on information technologies such as Remote Sensing and GIS. Understanding landscape patterns and processes by employing landscape characterization and landscape-level change detection

Course Content

Scope of digital data collection and analysis in landscape analysis. Concepts of land use and land cover and relationships between these concepts and natural and anthropogenic forces in environment. Use of digital and analog data of varying types and scales in landscape analysis. Spatial analysis: requirements, advantages-disadvantages and limitations of analyses at local, regional and global scales. Keys to describe biophysical features of landscape-level environment: vegetation, built-up features, geomorphological and hydrological aspects. Categorical description: Classification schemes, FAO, CORINE Land Cover (CLC), Coastal Change Analysis Program (C-CAP), etc. Land use and land cover mapping: traditional and contemporary approaches. Landscape pattern analyses: patch, class and landscape-level metrics. Computer-based lab work.

Course Precondition

None

Resources

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

Notes

P. Stahlschmidt , S. Swaffield , J. Primdahl , V. Nellemann. 2017. Landscape Analysis: Investigating the potentials of space and place (1st Edition). Routlege, 208 P.


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Identifies land cover and land use concepts
LO02 Knows the data types used in landscape mapping
LO03 Knows the methods and approaches defining biophysical features of landscapes
LO04 Identifies landscapes as a mosaic of units belonging to different properties
LO05 Identifies landscape processes in terms of their temporal, seasonal, and spatial aspects.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Defines basic concepts and principles in Landscape Architecture.
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. 2
PLO04 Bilgi - Kuramsal, Olgusal Understands the physical and biological indicators required for the description and classification of landscapes at a basic level. 5
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. 4
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.
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. 3
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 Scope of digital data collection and analysis in landscape analysis. Review of course content, flow and learning outcomes. Öğretim Yöntemleri:
Anlatım
2 Concepts of land use and land cover and relationships between these concepts and natural and anthropogenic forces in environment Lecture notes and supporting course material Öğretim Yöntemleri:
Anlatım
3 Use of digital and analog data of varying types and scales in landscape analysis Lecture notes and supporting course material Öğretim Yöntemleri:
Anlatım
4 Spatial analysis: requirements, advantages-disadvantages and limitations of analyses at local, regional and global scales Lecture notes and supporting course material Öğretim Yöntemleri:
Anlatım
5 Keys to describe biophysical features of landscape-level environment: vegetation, built-up features, geomorphological and hydrological aspects Lecture notes and supporting course material Öğretim Yöntemleri:
Anlatım
6 Categorical description: Classification schemes, FAO, CORINE Land Cover (CLC), Coastal Change Analysis Program (C-CAP), etc. Lecture notes and supporting course material Öğretim Yöntemleri:
Anlatım
7 Categorical details: Classification schemes, FAO, CORINE Land Cover (CLC), Coastal Change Analysis Program (C-CAP), etc. Lecture notes and supporting course material Öğretim Yöntemleri:
Anlatım
8 Mid-Term Exam Preparation for exam using lecture notes and supporting course material Öğretim Yöntemleri:
Anlatım
9 Landscape pattern analyses: patch, class and landscape-level metrics Lecture notes and supporting course material Ölçme Yöntemleri:
Yazılı Sınav
10 Landscape pattern analyses: patch, class and landscape-level metrics (continued) Lecture notes and supporting course material Öğretim Yöntemleri:
Anlatım
11 Landscape composition and configuration metrics Lecture notes and supporting course material Öğretim Yöntemleri:
Anlatım
12 Landscape composition and configuration metrics (continued) Lecture notes and supporting course material Öğretim Yöntemleri:
Anlatım
13 Biodiversity indices (e.g. Shannon s and Simpson s diversity indices) Lecture notes and supporting course material Öğretim Yöntemleri:
Anlatım
14 Computer-based lab work Getting familiar with various image processing and analysis softwares in lab Öğretim Yöntemleri:
Alıştırma ve Uygulama
15 Micro-project presentations Lecture notes and supporting course material Öğretim Yöntemleri:
Proje Temelli Öğrenme
16 Term Exams Preparation for exam using lecture notes and supporting course material Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Preparation for exam using lecture notes and supporting course material Ölçme Yöntemleri:
Yazılı Sınav


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 2 28
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 16 16
Total Workload (Hour) 78
Total Workload / 25 (h) 3,12
ECTS 3 ECTS

Update Time: 04.05.2023 02:05