Educational guide | ||||||||||||||||||||||||||||||||||||||||
IDENTIFYING DATA | 2023_24 | |||||||||||||||||||||||||||||||||||||||
Subject | REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEMS (GIS) | Code | 00206055 | |||||||||||||||||||||||||||||||||||||
Study programme |
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Descriptors | Credit. | Type | Year | Period | ||||||||||||||||||||||||||||||||||||
3 | Optional | Fourth | Second |
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Language |
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Prerequisites | ||||||||||||||||||||||||||||||||||||||||
Department | GEOGRAFIA Y GEOLOGIA |
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Coordinador |
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mferj@unileon.es egarm@unileon.es |
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Lecturers |
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Web | http:// | |||||||||||||||||||||||||||||||||||||||
General description | This course introduces students to the field of two computer tools. The first one is remote sensing and we will focus on their physical principles and some digital treatment to study the environment. The second tool is Geographical Information Systems (GIS). This part of the course focuses in learning the different data types that are storaged in this type of programmes and the main spatial operations that we use in environmental studies. The course is supplemented by lab components. The labs will include practical assignments and computer-based analysis of remotely-sensed images and maps. The labs are primarily devoted to learning how to use image processing software –ENVI- and GIS - ArcMap. English friendly subject. | |||||||||||||||||||||||||||||||||||||||
Tribunales de Revisión |
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Competencias |
Code | |
A38 | |
A54 | |
A86 | |
A100 | |
A101 | |
A179 | |
A254 | |
A255 | |
A287 | |
B20 | |
B28 | |
B29 | |
B34 | |
B38 | |
C3 | CMECES3 That students have the ability to gather and interpret relevant data (normally within their area of study) to make judgments that include reflection on relevant issues of a social, scientific or ethical nature. |
Learning aims |
Competences | |||
A38 A101 A179 |
B20 B28 B29 B34 B38 |
C3 |
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A54 A86 A100 A254 A255 A287 |
B20 B29 B34 B38 |
C3 |
Contents |
Topic | Sub-topic |
THEORY | Topic 1. Introduction to Geographical Information Systems (GIS). Topic 2. Structures and storage of spatial and attribute data in a GIS. Topic 3. Data analysis with a GIS: search, reclassification and measurement operations, overlay operations, neighborhood and connectivity operations. Topic 4. Physical Principles of Remote Sensing. Topic 5. Characteristics of satellite images and their images. Topic 6. Digital treatment of satellite images: corrections, operations of enhancement of the image, extraction of information |
PRACTICES | P1: Consulting data with a GIS. P2: Vector analysis. P3: Raster analysis. P4: Characteristics of satellite images and spectral response of the materials of the terrestrial surface P5: Image enhancement and color composites P6: Supervised classification of the images. P7: Project management with spatial data |
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Planning |
Methodologies :: Tests | |||||||||
Class hours | Hours outside the classroom | Total hours | |||||||
Laboratory practicals | 20 | 30 | 50 | ||||||
Lecture | 9 | 15 | 24 | ||||||
Mixed tests | 1 | 0 | 1 | ||||||
(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students. |
Methodologies |
Description | |
Laboratory practicals | |
Lecture |
Personalized attention |
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Assessment |
Description | Qualification | ||
Lecture | 50% | ||
Mixed tests | 45% | ||
Other comments and second call | |||
Sources of information |
Access to Recommended Bibliography in the Catalog ULE |
Basic | |
Complementary | |
Recommendations |