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2020/2021

Methods for Obtaining Geographical Information

Code: 43383 ECTS Credits: 6
Degree Type Year Semester
4314828 Remote Sensing and Geographical Information Systems OB 0 2
The proposed teaching and assessment methodology that appear in the guide may be subject to changes as a result of the restrictions to face-to-face class attendance imposed by the health authorities.

Contact

Name:
Xavier Pons Fernández
Email:
Xavier.Pons@uab.cat

Use of Languages

Principal working language:
spanish (spa)

Other comments on languages

Approximately 30 % of the classes are in Catalan and 70 % in Spanish. Most of the literature is in English

Teachers

Miquel Ninyerola Casals
Robert Benavente Vidal
Alaitz Zabala Torres

External teachers

Agustin Lobo Aleu

Prerequisites

Prerequisites are not required

Objectives and Contextualisation

At the end of the course, the student will be able to:

  1. Master in digitizing and building topology structure, as well as in modelling, and in supervised, unsupervised and hybrid images classification techniques.
  2. Proper use of the statistical concepts that sustain the automatic classification of satellite imagery, as well as the elements of the visual image interpretation.

Competences

  • Continue the learning process, to a large extent autonomously.
  • Identify and propose innovative, competitive applications based on the knowledge acquired.
  • Integrate knowledge and use it to make judgements in complex situations, with incomplete information, while keeping in mind social and ethical responsibilities.
  • Use acquired knowledge as a basis for originality in the application of ideas, often in a research context.
  • Use different specialised GIS and remote sensing software, and other related software.
  • Use the different techniques for obtaining information from remote images.
  • Write up and publicly present work done individually or in a team in a scientific, professional context.

Learning Outcomes

  1. Continue the learning process, to a large extent autonomously.
  2. Identify and propose innovative, competitive applications based on the knowledge acquired.
  3. Integrate knowledge and use it to make judgements in complex situations, with incomplete information, while keeping in mind social and ethical responsibilities.
  4. Show expertise in using digitalisation and topological structuring tools, modelling tools, and tools for supervised, unsupervised and mixed image classification.
  5. Use acquired knowledge as a basis for originality in the application of ideas, often in a research context.
  6. Work with the statistical concepts underpinning the automatic classification of satellite images, and the most suitable criteria for visually interpreting remote images.
  7. Write up and publicly present work done individually or in a team in a scientific, professional context.

Content

PHOTOINTERPRETATION

  1. Visual techniques for identifying covers
  2. Recognition of different types of covers
  3. Photointerpretation: Main applications in the study of the natural and artificial environment
  4. Interpretation of multispectral images
  5. Cartography of support for photointerpretation

STATISTICAL METHODS

  1. Introduction to multivariate data. Characterization of distributions. Normality test. Correlation. Implications in Remote Sensing. Standardization. Principal Component Analysis
  2. Statistical distances between individuals, populations and between individuals and populations. Implications of the scaling of the variables. Divergence measures
  3. Obtaining new information (multitemporality, collateral data, indexes and transformations). Information reduction from the samples and from the variables. Introduction to obtaining continuous variables and categorical variables: linear and non-linear, simple and multiple regression, classification, etc.
  4. Multiple regression applied to the interpolation of climatic surfaces
  5. Generalized linear models applied to obtaining suitability surfaces based on the ecological niche modelling
  6. Hierarchical and non-hierarchical classification. Supervised, unsupervised and hybrid classification; fuzzy classification
  7. Segmentation of images. Scales and scene models. Processing methods that take spatial information into account. Segmentation methods. Classification by segments
  8. Neural networks
  9. Generalization of results in categorical cartography. Direct methods and smart methods
  10. Verification of results in binary cartography. Sampling
  11. Verification of results in categorical cartography. Sampling

Methodology

In this module there are 3 groups of learning activities:

Targeted activities consist of classes of theory and practices that will be carried out in a specialized computer room. At the beginning of each of the subjects that make up the module, the teachers will explain the structure of the theoretical-practical contents, as well as the evaluation method.

Supervised activities consist of classroom practices that will allow you to prepare the work and exercises of each subject, as well as tutorial sessions with the teachers in case the students request it.

Autonomous activities are a set of activities related to the elaboration of works, exercises and exams, such as the study of different material in the form of journal articles, reports, data, etc., defined according to the needs of autonomous work of each student

Activities

Title Hours ECTS Learning Outcomes
Type: Directed      
Master classes / exhibitions 38 1.52 4, 2, 6, 3, 1, 7, 5
Type: Supervised      
Classroom practices 35 1.4 4, 2, 6, 3, 1, 7, 5
Tutorials 2 0.08 4, 2, 6, 3, 1, 7, 5
Type: Autonomous      
Personal study 10 0.4 4, 2, 6, 3, 1, 7, 5
Reading of articles / reports of interest 1 0.04 4, 2, 6, 3, 1, 7, 5
Writing reports 64 2.56 4, 2, 6, 3, 1, 7, 5

Assessment

The evaluation of this subject consists of the following system:

  • The accomplishment of different practical works proposed throughout the teaching of the module and delivered within the fixed term, that will be worth the 100% of the final note. A correct formal presentation and careful preparation will be assessed.

Assessment Activities

Title Weighting Hours ECTS Learning Outcomes
Preparation of works 100 % 0 0 4, 2, 6, 3, 1, 7, 5

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DocumentaciónSIOSE2005. L'Anexo IV i la Guía, amb imatges de cobertes. http://www.ign.es/siose/documentacion.jsp

Manual de Fotointerpretación SIOSE2005. http://www.ign.es/siose/Documentacion/Guia_Tecnica_SIOSE/Manual_Fotointerpretacion_SIOSE2005.pdf

Anexo IV: Fichas Fotointerpretación Zonas Agrícolas y Forestales - Coberturas simples http://www.ign.es/siose/Documentacion/Guia_Tecnica_SIOSE/070206_Manual_Fotointerpretacion_anexoIV_ficha_AgriForestales.pdf

Anexo IV: Fichas Fotointerpretación Zonas Agrícolas y Forestales – Asociaciones http://www.ign.es/siose/Documentacion/Guia_Tecnica_SIOSE/070122_Manual_Fotointerpretacion_anexoIV_fichas_Asociaciones.pdf

Anexo IV: Fichas Fotointerpretación Coberturas Artificiales http://www.ign.es/siose/Documentacion/Guia_Tecnica_SIOSE/070727_Manual_Fotointerpretacion_anexo_IV_fichas_Artificialcomp.pdf

Guía orientativa de color para composiciones en infrarrojo color

http://www.ign.es/siose/Documentacion/Guia_Tecnica_SIOSE/061101_Manual_Fotointerpretacion_anexoIV_Tabla_color.pdf

Guía técnica del Mapa de Usos y Coberturas Vegetales del Suelo de Andalucía 1:25.000. Conté imatges de cobertes.
http://www.juntadeandalucia.es/medioambiente/site/rediam/menuitem.04dc44281e5d53cf8ca78ca731525ea0/?vgnextoid=de07cb4af9245110VgnVCM1000000624e50aRCRD

Mapa forestal de España escala 1:25.000 Manual de fotointerpretación. No conté imatges de boscos però és un bon recull de metodologia i de descripció de categories.
http://www.nasdap.ejgv.euskadi.net/contenidos/informacion/inventario_forestal_2011/es_agripes/adjuntos/Manual%20Fotointerpretacion%20MFE25_v5_feb2010_2.pdf
Universidad Nacional Abierta y a Distancia (UNAD): "Fotointerpretación y mapificación". Especialment per fotografia aèria analògica.

http://datateca.unad.edu.co/contenidos/201722/FOTOINTERPRETACION_eXe_2011/index.html

Organización de los Estados Americanos (OEA): "El Salvador - Zonificación Agrícola - Fase II - Sistema de Información para el Desarrollo", Annex I.2 metodologías basadas en la fotointerpretación aérea. Especialment per metodologia d'ús de la fotografia aèria analògica per obtenir informació.

http://www.oas.org/dsd/publications/Unit/oea35s/ch26.htm

González Vázquez, X.P. & Marey Pérez, M.F. (2006) "Fotointerpretación de los usos del suelo". Síntesi de fotointerpretació d'usos del sòl com a tècnica. http://www.cartesia.org/data/apuntes/fotointerpretacion/articulo_fotointerpretacion_metacortex.pdfUniversidad de Múrcia. "Fotointerpretación. Geología y Geomorfología". Orientat cap a Geologia.

http://www.um.es/geograf/sig/teledet/fotogeol.html

Universidad Nacional de San Luis: "Apuntes para Trabajos Prácticos. Fotointerpretación". Orientat cap a Geologia. http://www0.unsl.edu.ar/~geo/materias/Elementos_de_Geologia/documentos/contenidos/apoyo_teorico/APU-2011-Fotointerpret.pdf http://rscc.umn.edu

Iowa State University: "Natural Resource Photogrammetry and Geographic Information Systems". Molt complet sobre el tema del títol, un resum de Fotointerpretació a Week 6. http://www.nrem.iastate.edu/class/nrem345.htm

García Rodríguez, P.; Sanz Donaire, J.J.; Pérez González, M.E.; Navarro Madrid, A. (Universidad Complutense de Madrid) (2013): “Guía práctica de teledetección y fotointerpretación”. Petita part teòrica i part pràctica orientada a Geologia. http://eprints.ucm.es/17444/1/GUIA_PRACTICA_TELEDETECCION.pdf

Tortosa, Delio: "Remote Sensing Course". This guide was produced as part of a remote sensing course for Lake Superior State University. El Topic 5 està dedicata fotointerpretació. http://hosting.soonet.ca/eliris/remotesensing/bl130intro.htm

Japan Association of Remote Sensing (1993): "Remote Sensing Note". Reedició i actualització d'un llibre de 1975, l'arxiu 08_Chapter07.pdf fa referència a fotointerpretació. http://www.jars1974.net/pdf/rsnote_e.html