Syllabus Information

5.1. Methodological overview

The learning and teaching methodology developed in the course is aimed to promote the achievement of the learning objectives. A wide range of teaching and learning activities is implemented, such as lectures, practice sessions, practical exercises, individual or group activities, guided tasks and study.

A high level of student participation will be required from all students throughout the course.

Extensive material will be available via the Moodle site of the course. This offers a variety of resources including a repository of the lecture notes used in class, a course syllabus as well as other forms of course-specific materials, including a discussion forum.

5.2. Learning tasks

The course includes the following learning tasks: 

Topic 4.1.- Visual analysis of remote sensing images

• Lectures: 7.5 hours
• Interactive, individual or group activities: 7.5 hours
• Study: 19 hours
• Guided tasks: 50 minutes per student

Topic 4.2 Advanced digital processing of remote-sensing images

• Lectures:  15 hours
• Interactive, individual or group activities: 22.5 hours
• Study: 37 hours
• Guided tasks: 50 minutes per student
• Assessment: 75 minutes

Topic 4.3 Digital image classification and multi-temporal analysis  

• Lectures:  7.5 hours
• Interactive, individual or group activities: 7.5 hours
• Field work: 17.5 hours
• Study: 29 hours
• Guided tasks: 50 minutes per student

Topic 4.4 Radar image interpretation

• Lectures:  15 hours
• Interactive, individual or group activities: 22.5 hours
• Study: 37 hours
• Guided tasks: 85 minutes per student
• Assessment: 50 minutes

Topic 4.5 Interpretation of hyperspectral image

• Lectures:  7.5 hours
• Interactive, individual or group activities: 7.5 hours
• Study: 17 hours
• Guided tasks: 50 minutes per student
• Assessment: 75 minutes

Topic 4.6 Interpretation of the LiDAR images

• Lectures:  6 hours
• Interactive, individual or group activities: 9 hours
• Study: 10 hours
• Guided tasks: 50 minutes per student
• Assessment: 50 minutes

5.3. Syllabus

The course will address the following topics:

Topic 4.1.- Visual analysis of remote sensing images

• Introduction and conceptual issues.
• Visual analysis of satellite images: advantages and disadvantages.
• Photo-interpreter profile.
• Stages and levels of photo-interpretation.
• Methods and criteria for visual interpretation.
• Mapping projects based on remote sensing. 

Topic 4.2 Advanced digital processing of remote-sensing images

• Radiometric correction.
• Generation of artificial bands.
• Enhancement of satellite imagery: spatial filters.
• Spectral signatures.
• Image fusion techniques.

Topic 4.3 Digital image classification and multi-temporal analysis  

• Digital image classification: basic concepts, methods and applications.
• The supervised and unsupervised methods: theoretical principles, training techniques, mapping methods and verification process.
• Change detection techniques.

Topic 4.4 Radar image interpretation

• Principles of remote sensing radar
• Platforms, sensors and image types.
• Radiometric calibration and elimination of the speckle
• Geometric correction methods and interferometry.
• Practice: applying techniques of visualization, calibration, speckle removal, geometric correction and interferometry on radar images.

Topic 4.5 Interpretation of hyperspectral image

• Conceptual issues of hyperspectral images.
• Hyperspectral sensors.
• Hyperspectral images processing

Topic 4.6 Interpretation of the LiDAR images

• Introduction to LiDAR technology
• Visualization and processing of the point-cloud.
• LIDAR images applications

5.4. Course planning and calendar

For further details concernig the timetable, classroom and other information of the course please refer to the “Facultad de Filosofía y Letras”  website (https://fyl.unizar.es/horario-de-clases#overlay-context=horario-de-clases)

5.5. Bibliography and recommended resources

• Campbell, James B.. Introduction to remote sensing / James B. Campbell . 3rd ed London [etc.] : Taylor & Francis, 2002
• Chuvieco Salinero, Emilio. Teledetección ambiental : la observación de la Tierra desde el espacio / Emilio Chuvieco . 1ª ed. act. Barcelona : Ariel, 2010
• Estornell, J. . Análisis de los factores que influyen en la precisión de un MDE y estimación de parámetros forestales en zonas arbustivas de montaña mediante datos LIDAR. Tesis Doctoral dirigida por L. A. Ruiz València : Universitat Politècnica de València, Departamento de Ingeniería Cartográfica, Geodesia y Fotogrametría
• Manual of remote sensing. Vol. 2, Principles and applications of imaging radar / edited by Floyd M. Henderson and Anthony J. Lewis . 3rd ed. New York : John Wiley & Sons ; published in cooperation with the American Society for Photogrammetry and Remote Sensing, cop. 1998
• Chavez, P. S.. ?Image-based atmospheric corrections : Revisited and improved?. Photogrammetric Engineering and Remote Sensing, vol. 62 (9), pp. 1025-1036
• Colby, J. D.. ?Topographic normalization in rugged terrain?. Photogrammetric Engineering and Remote Sensing, vol. 57, pp. 531-537
• Eismann, M. T.. Hyperspectral Remote Sensing / M. T. Eismann Washington : SPIE Press, 2012
• García, D.. Lidar : aplicación práctica al inventario forestal : la tecnología al servicio del monte / D. García, M. Godino, F. Mauro Lexington : Editorial Académica Española, 2012
• García, M.. ?Ajuste planimétrico de datos LIDAR para la estimación de características dasométricas en el Parque Natural del Alto Tajo?, GeoFocus, vol. 9, pp. 184-208
• Lillesand, Thomas M.. Remote sensing and image interpretation / Thomas M. Lillesand, Ralph W. Kiefer, Jonathan W. Chipman . 6th ed. Hoboken, NJ : John Wiley, cop. 2008
• Heritage, G.. Laser Scanning for the Environmental Sciences / G. Heritage & A. Large Chichester : John Wiley & Sons, 2009
• Hyyppä, J.. ?Review of methods of smallfootprint airborne laser scanning for extracting forest inventory data in boreal forests?, International Journal of Remote Sensing, sol. 29 (5), pp. 1339-1366
• Renslow, M. S.. Manual of airborne topographic lidar / M. S. Renslow Maryland : APSRS, 2012
• Sithole, G.. ?Experimental comparision of filter algorithms for bare-Earth extraction from airborne laser scanning point clouds?, Journal of Photogrammetry and Remote Sensing, vol. 59 (1), pp. 85-101
• Ulaby, F. T.. Handbook of Radar Scattering Statistics for Terrain / F. T. Ulaby and M. C. Dobson Norwood : Artech House, 1989
• Van der Meer, F.. ?Imaging Spectrometry : Basic Principles and Prospective Applications?, Series: Remote Sensing and Digital Image Processing, vol. 4 Dordrecht : Kluwer Academic Publishers, 2002
• Vosselman, G.. Airborne and Terrestrial Laser Scanning / G. Vosselman, H. G. Maas Dunbeath : Whittles Publishing, 2010