## Syllabus 2018-19 - 78613006 - Geomorphometry: DTM and DSM Data Processing (Geomorfometría: tratamiento de MDT y MDS)

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• Level 1: Tutorial support sessions, materials and exams in this language
• Level 2: Tutorial support sessions, materials, exams and seminars in this language
• Level 3: Tutorial support sessions, materials, exams, seminars and regular lectures in this language
DEGREE: Máster Univ. en Ingeniería geomática y geoinformación
FACULTY: Centre for Postgraduate Studies of the University of Jaen

SYLLABUS
1. COURSE BASIC INFORMATION
 NAME: Geomorphometry: DTM and DSM Data Processing CODE: 78613006 ACADEMIC YEAR: 2018-19 LANGUAGE: English LEVEL: 1 ECTS CREDITS: 4.0 YEAR: 1 SEMESTER: -

2. LECTURER BASIC INFORMATION
3. CONTENT DESCRIPTION

Topic 1. General Concepts on Modeling.
1.1 Models in Science and Engineering. Geomorphometry.
1.2 Digital Terrain Models. Digital Elevation Models. Digital Building Models and other derived models. Terminology and characteristics.
1.3 Stages of generation of a digital model of elevations.
1.4 Data Storage structures.

Topic 2. Methods of capturing data.
2.1 Indirect and direct methods.
2.2 Photogrammetric methods for MDE generation.
2.3 Methods based on the use of LiDAR systems.
2.4 Methods based on the use of satellite images and RADAR.

Topic 3. Modeling. Geostatistics concepts.
3.1 Introduction to Geostatistics.
3.2 Basic methods of interpolation.
3.3 Variographic analysis.
3.4 Estimation and Geostatistical Simulation.

Topic 4. Derived models.
4.1 MDE Application and uses.
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 Derived topographic models.
4.2.1 Gradient. Pending. Orientation. Curvature. Rugosity.
4.2.2 Morphometric classification of the land.
4.2.3 Other descriptors: entropy, correlation coefficient, variogram, fractal dimensions.

4.3 Process simulation: hydrological and visual basins.
4.3.1 Topographic profiles.
4.3.2 Intervisibility between 2 points.
4.3.3 Climate models.
4.3.4 Relief visualization.
4.3.5 Reflectance. Potential insolation
4.3.6 Topographic concealment.
4.3.7 Exposure indices.

Topic 5. Methods of obtaining DTM from DSM
5.1 Introduction.
5.2 Filtering methods.
5.2.1 Morphological filtering.
5.2.2 Filtering based on surfaces.
5.2.3 Filtering based on segmentation.
5.2.4 Other types of filtering (FDP-TS, Filtering based on full-waveform).
5.3 Comparison between filtering methods.

Topic 6. Quality in the MDT
6.1 Introduction. Basic concepts.
6.2 Quality of the input information.
6.2.1 Density maps. Density histogram. Distance maps.
6.2.2 Map of qualities.
6.2.3 Accuracy and Consistency.

6.3 Quality of the model
6.3.1 Internal quality. Propagation of the error. Outliers analysis.
6.3.2 External quality.

4. COURSE DESCRIPTION AND TEACHING METHODOLOGY

The teaching methodology will consist, on the one hand, in theoretical classes in which the participation of the student is encouraged. On the other hand, in practical classes based on the presentation of different examples of projects in which the generation of DSM and DTM has been carried out through the use of geomatic techniques, in each case, the type of information that has been analyzed will be analyzed.willing, the type of treatment applied and the results obtained.

The learning scheme will be completed with the development of a practical exercise of application of DTM and DSM (and derivated models) treatment by the students.

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

5. ASSESSMENT METHODOLOGY

The evaluation of the subject will have three basic components:

1) Preparation of a practical case related to the contents of the subject that will be evaluated by the teachers responsible for it.

2) Written test of theoretical knowledge related to the subject.

3) Assistance and participation in classes and seminars.

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

6. BOOKLIST
MAIN BOOKLIST:
• An intensive comparison of Triangulated Irregular Networks (TINs) and Digital Elevation Models (DEMs). Edition: -. Author: Kumler, Mark P.. Publisher: Calgary: University, 1994  (Library)
• Extracción semiautomática de edificios mediante tratamiento de información LiDAR. Edition: -. Author: Pérez García, José Luis. Publisher: [S.l. : s.n.], 2011  (Library)
• Three-dimensional reconstruction framework for high resolution airborne lidar point cloud data. Edition: -. Author: Wang, Lu. Publisher: Ann Arbor: Umi Dissertation Publishing, 2011  (Library)
• Digital elevation model technologies and applications: the DEM users manual. Edition: 2nd ed.. Author: -. Publisher: Maryland: ASPRS, cop. 2007  (Library)