COURSE INFORMATON
Course Title Code Semester L+P Hour Credits ECTS
Remote Sensing and GIS * BBT   451 7 2 2 2

Prerequisites and co-requisites
Recommended Optional Programme Components None

Language of Instruction Turkish
Course Level First Cycle Programmes (Bachelor's Degree)
Course Type
Course Coordinator
Instructors
Prof.Dr.SUAT ŞENOL1. Öğretim Grup:A
 
Assistants
Goals
The application of Remote Sensing and GIS which play an importanat role in todays agriculture will be explained. The basic information on remote sensing GIS technologies and different methodologies are presented. The results of applications will be interpreted and thier efficient use are discussed.
Content
The principles of Remote Sensing and GIS. Sensors and their spectral charateristics. Soil, vegetation and water surfaces reflectance charateristics. Image processing methologies and classification techniques in Remote Sensing. Evaluation of results and accuracy assesments. Definition of GIS and data sources. data entryand arrangement. Data analysis methodologies. Presentation and interpretation of results.i

Learning Outcomes
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Course's Contribution To Program
NoProgram Learning OutcomesContribution
12345
1
Has basic knowledge generally in Agricultural Sciences and specifically in Soil Science and Plant Nutrition
X
2
Owns basic scientific information on plant nutrients and their applications which ensure healty nutritions of plants for high quality and economic plant production
X
3
Understands the principles of ecological farming in point of sustainable and ecological farming
X
4
Has the ability to identify, define, formulize and solve engineering problems. Choses and applies the appropriate analytical and modelling techniques for this purpose.
X
5
Assimilates the information which is used for soil conservation, protection against every kinds of misuses and pollution
X
6
Analyses soils, their components or their actual process and plans them to accomplish the requirements of sustainable agriculture principles under real limitations
X
7
Prepares nutritional programmes for regular nutrition of plants cultivated in each kinds of soil or soilless growing medium
X
8
Leads to the application and development of new technolgies, methods and measuring systems in Soil Science and Plant Nutrition area, under the scope of scientific, economic and rational uses of agricultural areas,
X
9
Gains the perfection in every kinds of soil, plant, fertilizer and water analyses and their interpretations
X
10
Carries the effective working ability and self-confidence for taking the responsibility in solo and team works
X
11
Accesses to information and searches literatures for this purpose ,uses databases and other sources
X
12
Has the awareness for following the developments in science and technology and renewing them continuously
X
13
Builds effective oral and written communication in Turkish and has enough knowledge in at least one foreign language
X
14
Constantly improve themselves with determining their training needs in accordance with their interests and abilities in the scientific, cultural, artistic and social fields in addition to their professional development
X
15
Gains consciousness for professional and ethical resposibilities
X
16
Has enough awareness of project management, workplace applicaitons, health of workers, and environemt and job safety
X
17
Be aware of the legal results of their activities
X
18
Achieves awareness of the universal and public results of professional solutions and applicaitons and understands the importance of entrepreneurship and modernism
X

Course Content
WeekTopicsStudy Materials _ocw_rs_drs_yontem
1 Applications Of Remote Sensing in Agriculture Lecturing
2 Sensors and their properties. Lecturing
3 Reflactance and elektro magnetic spectrum Lecturing
4 Reflectance charavcteristics of soils and vegetation Lecturing
5 Image Processing and geometric and radiometric correction and image enhancement Lecturing
6 Image Classification supervised and unsupervised Lecturing
7 Image interpretation and accuracy assesment, case studies Lecturing
8 Mid term exam Weitten Exam
9 GIS and application areas Lecturing
10 Projection metods, Geo-referancing and coordinate systems Lecturing
11 Geographic correction and components and system elements of GIS Lecturing
12 Raster and vector data Lecturing
13 Classification of data , topology and data sources Lecturing
14 Data collection, storage and database structures, geographic analysis Lecturing
15 Case studies from agricultural and environmental applications. Lecturing
16-17 Final Exam Final Exam

Recommended or Required Reading
Textbook
Additional Resources