SYLLABUS of the discipline GIS-ANALYSIS OF AGROLANDSCAPES. Specialty 101 Ecology Educational program Ecology and Environmental Protection

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1 Форма H 3.04 NATIONAL UNIVERSITY OF LIFE AND ENVIRONMENTAL SCIENCES OF UKRAINE Department of Geoinformatiсs and Aerospace Research of the Earth «Approved» Dean of the Faculty, Prof. M.M. Dolya 2017 y. «Reviewed and approved» by the Department of Geoinformatiсs and Aerospace Research of the Earth Protocol 11 from «3» May 2017 y. Head of the Department S.S. Kokhan SYLLABUS of the discipline GIS-ANALYSIS OF AGROLANDSCAPES Specialty 101 Ecology Educational program Ecology and Environmental Protection Faculty Ecology and sustainable development KYIV 2017

2 Форма H 3.04 NATIONAL UNIVERSITY OF LIFE AND ENVIRONMENTAL SCIENCES OF UKRAINE Department of Geoinformatiсs and Aerospace Research of the Earth «Approved» Dean of the Faculty, Prof. M.M. Dolya 2017 y. «Reviewed and approved» by the Department of Geoinformatiсs and Aerospace Research of the Earth Protocol 11 from «3» May 2017 y. Head of the Department S.S. Kokhan EDUCATIONAL-METHODICAL COMPLEX of the discipline GIS-ANALYSIS OF AGROLANDSCAPES Specialty 101 Ecology Educational program Ecology and Environmental Protection Faculty Ecology and sustainable development KYIV 2017

3 1. Description of the discipline GIS-Analysis of Agrolandscapes Branch of knowledge, direction of education, specialty, educational-qualification level (EQL) Branch of knowledge 10 "Natural Sciences" Specialty 101 Ecology Educational program "Ecology and Environmental Protection" Discipline characteristic Type alternative Total hours 96 ECTS credits 2 Thematic modules 2 Course project (work) - (if exist) type of control Examination Discipline parameters for full-time students and students studied by correspondence full-time study by correspondence year of training 1 - semester 2 - lectures 15 hours. practical, seminar - hour. laboratory 30 hours. individual work 51 hours. - amount of individual work per week, hours 3.4 hours -

4 2. Purpose and tasks of the discipline Purpose. Discipline GIS-analysis of Agrolandscapes provides to obtaining skills in GIS technologies and well as GIS analysis and remote sensing monitoring. The course provides skills for potential use of remotely sensed data in monitoring of the environment. Tasks. The main tasks of the discipline: To provide skills for collecting geographic information; To use GIS and remotely sensed data for ecological monitoring of landscapes; GIS and remote sensing application for ecological zoning of territories; To use methods of interpolation; To determine slopes, aspects, to create buffer zones around the objectives of the environment; To use GIS and remotely sensed data for land resources conservation; To use GIS analysis for ecological monitoring. To use remotely sensed data in ecological monitoring of geosystems 1.3 Prerequisite courses and knowledge Information science and programming ; Information science and systemology ; Information technologies ; Ecodatabase for ecological monitoring. After completing the discipline, student has to to know recognize the basic terms of geo-information science; to be able understand and illustrate the geo-information cycle and the main concepts in geoinformation science; methods of remote sensing sensor systems To have GIS skills; To know methods of GIS analysis; To know fundamentals of analysis of attributes; To know methods of special interpolation; To use advanced special analysis for ecological and environmental applications. Demonstrate and apply elementary GIS and remote sensing software skills To do pre-processing and thematic image processing to monitor agrolandscapes

5 3. The program of the discipline CONTENT OF MODULE I GEOINFORMATION ANALYSIS OF AGROLANDSCAPES Topic 1. Basic concepts of GIS. Spatial data and attribute data. Principles of data management. Maps and the real world model. Digital spatial information. Geoinformational data structures. Vector and raster models. Layers and collections. Vector collections and SQL. Database analysis with contamination values in the soil, water and plants. Topic 2. Geographical coordinates and cartographic projections. Earth s shape. Geodetic datum. Map scale. Map projections. Coordinate systems. The Universal Transverse Mercator coordinate system. The Military Grid coordinate system. The State Plane coordinate system. Projection parameters. Geographic transformation methods. Molodensky method. Topic 3. Data collection and GIS tools. Data input and output. Data acquisition. Aerial photography. Satellite remote sensing. Surveying. Global positioning systems. Digitizing. Attribute data. Data capture. Converting digital and non-digital data. Data input. Digitizing, scanning, editing. Construction topology. Geodatabase. Geodatabase design steps. Creating geodatabases. Topic 4. Analysis of spatial information. Spatial analysis, GIS and software tools. Spatial analysis toolbox. Logic operations. Overlay analysis. Zonal statistics. Map algebra. Neighborhood operations and buffering. Thiessen polygons. Aspects. Topic 5. Interpolation. Inverse distance weighting (IDW). Natural neighbor. Nearest neighbor (K-nearest neighbor algorithm, KNN). Radial basis and spline functions. Polynomial regression and regression analysis. Geostatistical interpolation methods. Examples with the elements of agrolandscapes. Kriging. Connectivity analysis (network analysis, surface analysis. Spline interpolation. Trend interpolation. Density analysis. CONTENT OF MODULE II. CONCEPT OF REMOTE SENSING Topic 6. Concepts of remote sensing. Electromagnetic radiation principles. Visual interpretation of images. Topic 7. Processing and analysis of remotely sensed data. Image classification. Remote sensing classification process. Selection of remotely sensed data. Selection of a classification system and training samples. Pattern recognition and segmentation. Image classification technique. Unsupervised classification and supervised classification. Other classififcation techniques. Remote sensing methodology to monitor vegetation cover and manage for agrolandscapes.

6 4. Structure of the discipline Hours Full-time by correspondence Titles content modules total including total including and themes lect pract lab ind. i.w. l p lab ind i.w. work Module I GEOINFORMATION ANALYSIS OF AGROLANDSCAPES Topic 1. Basic concepts of GIS Topic 2. Geographical coordinates and cartographic projections Topic 3. Data collection and GIS tools. Data 2 2 input and output Topic 4. Analysis of spatial information Topic 5. Interpolation Total for Module I Module II CONCEPT OF REMOTE SENSING Topic 6. Concept of remote sensing Topic 7. Processing and analysis of remotely sensed data Total for Module II TOTAL HOURS Topics of practical lessons Topics Hours Module I 1 Database Query 2 2 Distance and Context Operators 4 3 Cost Distances and Least-Cost Pathways 4 4 Map Algebra 2 Individual work 1 Terminology in GIS-analysis 10 Individual work 2 Methods of interpolation 21 Module II 5 Visual image analysis. 4 6 Creating Color Composites. Exploring reflectance Values 4 7 Image Exploration 2

7 8.1 Supervised classification. Creating trainingsites Supervised classification. Classification decision rule 2 9 Creating thematic map. 4 Total hours 30 Individual work Individual work 3 Terminology in remote sensing 10 Individual work 4 Visual image interpretation Control questions 1. Data structure in GIS. 2. Raster models: characteristics, encoding, application. 3. Vector models: characteristics, encoding, application. 4. Vector topology. 5. Data input and output in GIS. 6. Coordinate systems in GIS. 7. Types of cartographic projections. 8. Gauss-Kruger projection. 9. Distortions in cartographic projections. 10. Database system. 11. Relational database system. 12. Analysis of spatial information. 13. Thiessen polygons in GIS. 14. Distance analysis. 15. Buffer zones. 16. Functional distance. Impedance (value of resistance). Surface of isotropic distance. 17. Digital elevation models. 18. Operations on one or more attributes of an entity. 19. Operations on one or more attributes of multiple entities that overlap in space. 20. Operations on the attributes of entities that are contained by other entities (point in polygon). 21. Logical (Boolean) operations on the attributes of one or more entities. 22. Boolean algebra uses the logical operators AND, OR, XOR, NOT. 23. Arithmetical operations on attributes of single entities. 24. Principles of classification. Schemes of classification. Reclassification. 25. TIN model and its application. 26. Raster overlay point in polygon, line in polygon. 27. Raster overlay of polygons. 28. Overlay in vector systems. 29. Types of overlay operations. 30. Global and local deterministic methods of interpolation. 31. Method of nearest neighbors. 32. Method of inverse distance weighting. 33. Optimal geostatistics and kriging. Types of kriging. 34. Variograms and their characteristics 35. Statistical surfaces in GIS 36 Classification of methods of remote sensing. 37. Electromagnetic radiation and its spectra. 38 Spectral channels 39 Spectral signatures of plants. 40 Factors that rely acquisition of spectral data. 41 Sensor systems classification.

8 42 Photographic image, its acquisition and characteristics. 43. Digital images and their characteristics. 44. Spatial resolution of sensors 45 Radiometric resolution of I mages 46 Spectral and temporal resolution of sensor systems. 47. Satellite systems with high spatial resolution and their characteristics. 48. Satellite systems (Landsat, SPOT, Deimos ). Their technical characteristics and application of imagery. 49. Radar satellite systems. 50. Preprocessing of images. Radiometric correction. 51. Preprocessing of images. Geometric correction. 52. Preprocessing of images. Atmospheric correction. 53. Stages of supervised classification. 54. Unsupervised image classification. 52. Classification decision rule 53. Training sites and their quality. 54 Maximum likelihood classifier 55 Liner discriminant function 56 Minimal spectral distance classifier 57 Parallelepiped classification 58 KNN classifier. 59 Classification accuracy assessment 60. Application of vegetation indexes for estimation of plant cover status. 10. Methods of teaching In conducting lectures appropriate to use verbal teaching methods: explanation, narration, discussion, educational debate, with a combination of visual learning methods: illustration, showing. In carrying out laboratory work should be used such as verbal learning method of instruction on the combination of visual learning methods of illustration and demonstration, the aspect of these studies is that they facilitate communication theory and practice, providing students acquiring skills using standard and specialized software, application of information technology to cadastral and form students' initial skills of research activities. work in the laboratory are equipped computers. 11. Forms of control The main methods of control of knowledge and skills students have to study the subject "GIS monitoring of the environment and GIS-analysis of agrolandscapes" are: oral examination, written and practical test, standardized control in the form of modular test papers, assessment for individual learning task, the final test. The total value of these methods is to make the best possible to ensure timely and comprehensive feedback between students and teachers, by which establishes how students perceive and learn the material. The purpose determines the choice of control methods, it should be borne in mind that these methods can be applied in all kinds of control - only complete applications allows regularly and objectively identify the dynamics of the formation of knowledge and skills of students. Each control method has its advantages and disadvantages, scope of application, none of them can not be the only one able to diagnose all aspects of the learning process. So:

9 - to control the absorption of lectures: oral questioning, written modular test papers, current testing score for an individual learning task, the final test. - for the monitoring and evaluation of laboratory work: practical test and evaluation of each laboratory work. 12. Distribution of grades received by students during study Students rating has determined by 100 mark scale. It has composed of rating of studied work (70 marks) and rating of attestation (test) 30 marks. Each of modules has evaluated by 100 mark scale too. The form of laboratory lessons control is their execution and presentation. Rating of studied work can be changed by rating of additional work (20 marks) or penal rating (negative) - 5 marks - at the decision of chair convention. A studied rating (RS) is calculated by formula: R S RM RM RM RAd RP where R 1 M, R 2 M, R 3 M rating of 1 st, 2 nd and 3 d modules by 100 mark scale, RAd - rating of additional work and RP penal ratin. Rating of attestation (RAt) is determined by 100 mark scale too. A rating of discipline (RD) is calculated by formula: RD RS 0. 3 RAt A students rating is transferred in national mark and ЕСТS. Student s rating of course mastering calculates on the basis of «Statute about the rating system of teaching and evaluation of their knowledges» and «Changing to Statute about the rating system of teaching and evaluation of their knowledges». Module # 1 Modu le # 2 Type of work score work Lectures % work # % work # % work # % work # % Individual work % Individual work % Module % module 70 % Current control % 30 % Lectures % work # % totally Totally %

10 work # % work # % work # % work # % work # % Individual work % Individual work % Current control % 30 % Тest Course rating Student s rating of course mastering Rcourse Course ratings calculate as: RCOURSE=REDU+ RFinal Test it is determined in points and made 100 points. (Course ratings = Education work rating + Final Test Rating) 70% (70 points) of the RCOURSE is the REDU 30% (30 points) of the RCOURSE is the RFinal Test. RCOURSE equal 100 points (100 %). Education work rating Ratings of education work consist of attending a lecture, mastering of theoretical material, executing and passing laboratory works, and control theoretical knowledge. REDU=RLect+RLab+RContr. Evaluation criteria for an attending of a lecture RLect Student will have a maximal grade for an attending a lecture, if he/she presents on a lecture, participates actively in the discussion of theme of lecture, answer а lecturer question, gives examples, assiduously conducts the compendium of lecture. Student will have a minimum (sufficient) grade (0,5 to maximal) for a lecture, if he/she is late for the lecture less than 5 minutes, inattentive (but keeps discipline), passive in discussion of theme, doesn t give examples, but can formulate basic concepts of a lecture. Student will have a 0,5 grade, if he/she didn t appear on a lecture with reasonable excuse, but has conducts the compendium of lecture and can formulate the basic concepts of lecture. Student will have grade from 0 to minimum, if he/she is late for the lecture more than 5 minutes, can t define the basic concepts of lecture, but has the compendium of lecture, inattentive (but keeps discipline). If student skipped lecture with reasonable excuse and doesn t have the compendium of lecture, student will have grade equal 0. If student skipped lecture without reasonable excuse, disturbs discipline, doesn t have the compendium of lecture, student will have penalty grade. Evaluation criteria for the mastering control of theoretical materials RContr. The written work has a maximal grade, if it has written answer to the questions contained in

11 the examination card. Answer should be in the compressed form, logically and consistently, contains a definitions, basic descriptions, principles and receptions of implementation, charts, examples, the indicated application domain in speciality area, etc. The written work has a minimal grade (0,5 to maximal), if it has main definition and descriptions, indicates principles and receptions of implementation, gives some examples, etc and gives written answer (even inexact) to all questions contained in the examination card. Rating for laboratory work RLAB Rating evaluation for laboratory work consist of rate execution laboratory work R1 and rate pass laboratory work R2. RLAB= R1+ R2 Evaluation criteria for fulfillment of a laboratory work R1 Student will have a maximal grade for fulfillment of a laboratory work, if he/she presents on a lesson, participates actively in implementation of laboratory work, executes the task fully and gets the expected result, can explain a logical sequence and phased of actions, answers a control questions of teacher. Student will have a minimum (sufficient) grade (0,5 to maximal) for a laboratory work, if he/she is late for the lesson less than 5 minutes, inattentive (but keeps discipline), executes the task fully, but with some teacher help, and gets the expected result, gives insufficient answer a control questions of teacher. Student will have grade from 0 to minimum, if he/she executes the task partly, (but executes the task more than 75%), or doesn t get the expected result, gives inexact answer. If student skipped laboratory work with reasonable excuse, student has to rework this lesson in other time. Student should arrange time with a teacher, because task uses license software. If student skipped laboratory work without reasonable excuse or didn t finish task in the set time, student gets a penalty. Evaluation criteria for defence of a laboratory work R2 Student will have a maximal grade for defence of a laboratory work, if he/she clear define a theoretical grounds of the topic, gives examples, can account for the sequence of actions implementation, can apply theoretical knowledges in practice. Student will have a minimum (sufficient) grade (0,5 to maximal) defence of a laboratory work, if he/she gives insufficient answer, doesn t give examples or gives one with complication. Student will have grade from 0 to minimum for defence of a laboratory work, if he/she gives inexact answer, doesn t give main definitions. Rating of additional work Radd and rating of penalty Rpenalty has an influence on rating of educational work. Maximal rating of additional work makes 10% from rating of course (that is 10 points). It s determined by a lecturer. Rating of additional work given to student after department decision for implementation of work, that don t foreseen by a working curricula of the course, but increase student s level of skill. 5% (4 points) of the rating of education work is rating of penalty. Rating of penalty has negative quantity and it decreases rating of education work. Rating of penalty was determined by a lecturer. It s entered department decision for a student, who was mastering material of the module too late, wasn t following the executive schedule and had omitted lesson from time to time, etc. Students have to have more than 50 % points from rating of educational work for admitting to final test. It s meaning, that student should to do next minimal list of work: to execute all laboratory works; to don t get punitive measure of lecturer. Rating evaluation of the final test is proposed as a test tasks. The final test consists of 30 questions. Student gets a 1 point for every right answer. Grading

12 Rating of course in points conforms to the national grade and ECTS system evaluation based on tables in «Statute about the rating system of teaching and evaluation of it knowledges». After that sign student grade to the examinations grade report, the student's record book and rating of evaluation register student s knowledges. Criteria of evaluation students knowledge in the final test Poll degree has a student, who got more than 60 points for course during a semester. Fail has a student, who got less than 60 points for course during a semester. To the test out student, who got less than 36 marks for educational work during a semester, did not execute and pass all laboratory works, and did not attend а lessons without reasonable excuse. National value ECTS Ratio between national and ЕСТS values and rating from the discipline ECTS evaluation Rating, points Excellent А Excellent with limited small mistakes Good В С Very good higher than medium level with several mistakes Good in general good work with a certain amount of coarse mistakes Satisfactory D Е Satisfactory not bad, but with mistakes Sufficiently implementation with minimal criteria Unsatisfactory FX F Unsatisfactory student needs to work before the credit (for obtaining positive evaluation) Unsatisfactory serious work before passing the credit general Recommended literature Basic (M) 1. Kokhan S.S. Geoinformation analysis of agrolandscapes. Manual. K.: Komprint p. 2. Geographic information systems. Van Meirvenne M., Kokhan S. Kyiv p. 3. Campbell, J.B Introduction to remote sensing. 3 d ed. New York: The Guilford Press. 4. Remote sensing for GIS managers. Stan Aronoff. ESRI Press. Redlands, California Kokhan S.S. Vegetation Indices [Monograph] / S.S. Kokhan. К. : «Komprint», p. Additional (A) 6.Lillesand,T.M., and R.W.Kiefer Remote sensing and image interpretation. New York: John Wiley and Sons, Inc.

13 7.Geographic information systems: An introduction. Tor Bernhardsen.-2 nd John Wiley &Sons, Inc Jensen, J.R. Remote sensing of the environment: An Earth resources perspective. Upper saddle rever, N.J.: prentice Hall. 9.Tso, B., and P. M.Mather Classification methods for remotely sensed data. London: Taylor and Francis. 10.Franklin, S.E Remote sensing for sustainable forest management. Boca Raton, Florida: CRC press. 11. Геоматика. Geomatics #1 (2). 12. Геоматика. Geomatics #2 (3). 13. Геоматика. Geomatics #1 (6).