Universidad de Jaén

Topic 1. General concepts on modeling.
1.1 Models in Science and Engineering.
1.2 Digital Terrain Models. Digital Elevation Models. Digital models of buildings and other derivative models. Terminology and features.
1.3 Stages of generating a digital elevation model.
1.4 Structures of storing information.
Item 2. Methods of capturing information.
2.1 indirect and direct methods.
Fotogramétircos 2.2 Methods for generating MDE.
2.3 Methods based on the use of LiDAR systems.
2.4 Methods based on the use of satellite and radar images.
Item 3. Modelling. Geostatistical concepts.
3.1 Introduction to geostatistics.
3.2 Basic methods of interpolation.
3.3 Analysis variographic.
Geostatistical Estimation and Simulation 3.4.
Item 4. Models derivatives.
4.1 Application of MDE
4.1.1 Description and characterization of the relief.
4.1.2 Basic statistics based on linear variables.
4.1.3 Basic statistics based on circular variables.
4.1.4 global and local statistical descriptors.
4.2 Models topographic derivatives.
4.2.1 Gradient. Pending. Orientation. Curvature. Roughness.
4.2.2 Classification morphometric terrain.
4.2.3 Other descriptors: entropy, correlation coefficient, variogram, fractal dimensions.
4.3 Simulation of processes: hydrological and viewshed.

4.3.1 topographic profiles.
4.3.2 intervisibility between 2 points.
4.3.3 Climate Models.
4.3.4 Display of relief.
Reflectance 4.3.5. Potential sunshine.
4.3.6 topographic concealment.
4.3.7 Exposure Indices.
Irradiance 4.3.8.
Item 5. Methods of obtaining from MDS MDT
5.1 Introduction.
5.2 Methods filtering.
5.2.1 morphological filtering.
5.2.2 based filtering surfaces.
5.2.3 Filtering based on segmentation
5.2.4 Other types filtered (FDP-TS, filtering based on full-waveform).
5.3 Comparison between the filtering methods.
Item 6. MDT Quality
6.1 Introduction. Basic concepts.
6.2 Quality of input information
6.2.1 Density maps. Density histogram. Distance maps.
6.2.2 Map qualities.
6.2.3 Accuracy and Consistency.
6.3 Quality model
6.3.1 Internal quality. Error propagation. Residues analysis.
6.3.2 External quality.

Lectures will involve:

- Theoretical lessons by means of master classes with student participation.

- Practice lessons based on the presentation of different projects based in the application of geomatics techniques for the DSM and DTM generation. In these examples, the data available, the data treatment and results will be analyzed. 

Students with special educational needs should contact the Student Attention Service (Servicio de Atención y Ayudas al Estudiante) in order to receive the appropriate academic support

The evaluation of the subject will have three basic components:

1) Preparation of a case study related to the contents of the course will be evaluated by the responsible teachers.

2) Written theoretical knowledge related to the subject test.

3) Attendance and participation in classes and seminars.

The corresponding weights are indicated in the corresponding Evaluation System section.