Infopaket

Geoengine

ВК 2.1.1.2

Вибіркова дисципліна для ОП

Second

2022/2023

3 Semester

4

- Analyze the features of natural and anthropogenic systems and objects of the upper part of the earth's crust and its sedimentary layer in particular - Apply their knowledge to identify and solve problematic issues and make informed decisions in the thematic processing of geological, geophysical and other geospatial data - To be able to carry out thematic processing and interpretation of geospatial data obtained by various methods of studying the geological environment, to develop appropriate algorithms and software products, to form geodatabases, to create web publications of cartographic data - Demonstrate the ability to adapt and act in a new situation related to work in the specialty, the ability to generate new ideas in the field of geoinformatics - Create specialized software products, use web technologies and remote sensing data in scientific and industrial activities

1. Successful completion of the course "Remote Sensing of the Earth" (or similar). 2. Successful completion of the course "Geographic Information Systems" (or similar). 3. Successful completion of the courses "Topography", "Geodesy". 4. Possession of basic skills in working with a personal computer.

The course examines current trends in the use of remote sensing data for monitoring purposes. Both natural geospheres and ecosystems, as well as man-made formations, are monitored. Specific examples demonstrate the effectiveness of monitoring using remote sensing. Students acquire the theoretical knowledge, practical skills and abilities necessary for an informed choice of a set of input data, software, methods and approaches that allow for effective monitoring activities. Much attention is paid to the assessment and monitoring in time and space of the environmental load and the anthropogenic impact of military operations and human economic activity on the environment.

1. Zatserkovnyi V.I. Dystantsiine zonduvannia Zemli. Fizychni osnovy: navch. posib. / V.I.Zatserkovnyi. – Nizhyn: NDU im. M. Hoholia, 2018. – 380 p. 2. Zatserkovnyi V.I., Tishaiev I.V., Virshylo I.V., Demydov V.K. Heoinformatsiini systemy v naukakh pro Zemliu: monohrafiia. – Nizhyn: NDU im. M. Hoholia, 2016.– 510 p. 3. Robert A. Schowengerdt. Remote Sensing: Models and Methods for Image Processing. Third Edition. Elsevier, 2007. 4. Pattern recognition, fourth edition / Sergios Theodoridis, Konstantinos Koutroumbas. – Elsevier Inc., 2009. – 961 p. 5. Wafi Al-Fares. Historical Land Use/Land Cover Classification Using Remote Sensing: A Case Study of the Euphrates River Basin in Syria. Springer Science & Business Media, 2013.

classroom classes (29%), including: lectures - 19%, practical classes - 10%. Independent work (71%).

The control is carried out according to the module-rating system and includes: completion of 5 practical works (where students have to demonstrate the quality of the acquired knowledge and solve the tasks using the methods and tools outlined by the teacher), 10 independent practical works (where students have to demonstrate the quality of the acquired knowledge and solve the tasks set tasks without limiting the tools and techniques for solving the problem) and 2 written module tests. written module tests. The final assessment is carried out in the form of exam.

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