Degree | Type | Year | Semester |
---|---|---|---|
4314828 Remote Sensing and Geographical Information Systems | OB | 0 | 2 |
To check the language/s of instruction, you must click on "Methodolody" section of the course guide.
Prerequisites are not required
At the end of the course, the student will be able to:
PHOTOINTERPRETATION
STATISTICAL METHODS
Principal working language: spanish (spa), although the bibliographic materials may be in other languages, mostly English.
In this module there are 3 groups of learning activities:
Annotation: Within the schedule set by the centre or degree programme, 15 minutes of one class will be reserved for students to evaluate their lecturers and their courses or modules through questionnaires.
Title | Hours | ECTS | Learning Outcomes |
---|---|---|---|
Type: Directed | |||
Master classes / exhibitions | 38 | 1.52 | 1, 2, 3, 4, 5, 6, 7 |
Type: Supervised | |||
Classroom practices | 35 | 1.4 | 1, 2, 3, 4, 5, 6, 7 |
Tutorials | 2 | 0.08 | 1, 2, 3, 4, 5, 6, 7 |
Type: Autonomous | |||
Personal study | 10 | 0.4 | 1, 2, 3, 4, 5, 6, 7 |
Reading of articles / reports of interest | 1 | 0.04 | 1, 2, 3, 4, 5, 6, 7 |
Writing reports | 64 | 2.56 | 1, 2, 3, 4, 5, 6, 7 |
The regular evaluation of this module consists is as follows:
Aspects to take into account.
Extraordinary exams.
The single assessment evaluation of this module is as follows:
This module also includes the possibility of taking advantage of the single assessment option, which must take into account the following aspects:
Cheating: Copies and plagiarisms.
Title | Weighting | Hours | ECTS | Learning Outcomes |
---|---|---|---|---|
Preparation of works | 100 % | 0 | 0 | 1, 2, 3, 4, 5, 6, 7 |
Atkinson, P.M. and Tatnall, A.R.L., 1997. Introduction Neural Networks in Remote Sensing. International Journal of Remote Sensing, vol. 18, no. 4, pp. 699-709 DOI 10.1080/014311697218700.
Ball and Hall (1965) ISODATA, a Novel Method of Data Analysis and Pattern Classification. Stanford Research Institute, Menlo Park, Cal.
Benson, B.J. and MacKenzie, M.D. (1995) Effects of sensor spatial resolution on landscape structure parameters. Landscape Ecology, 10: 113-120.
Bishop, C.M., 1995. Neural Networks for Pattern Recognition. Oxford University Press ISBN 0 19 853864
Caetano, M. and Painho, M. (2006) Proceedings of Accuracy 2006. 7th International Symposium on Spatial Accuracy Assessment. Instituto Geográfico Português, 924 p.
Chuvieco, E. (2002) Teledetección Ambiental, Barcelona, Ariel. 453 p.
Chuvieco, Emilio. (1996): Fundamentos de Teledetección Espacial (3rd edition). Editorial Rialp, Madrid. 568 p. ISBN: 84-321-3127-X.
Chuvieco, Emilio. (2010): Teledetección Ambiental (3rd edition). Editorial Ariel, Barcelona. 528 p. ISBN: 978-8-434-43498-1.
Cipolletti, M.P., Delrieux, C.A., Perillo, G.M.E., Piccolo, M.C., (2012) Superresolution border segmentation and measurement in remote sensing images. Computers & Geosciences, 40:87-96.
Clinton, N., Holt, A., Scarborough, J., Yan L., Gong, P. (2010) Accuracy Assessment for Object-Based Image Segmentation Goodness. Photogrammetric Engineering & Remote Sensing 76(3), 289-299.
Congalton, R.G. and Green, K. (2009) Assessing the Accuracy of Remotely Sensed Data—Principles and Practices. CRC Press, Boca Raton, 2ª edició, 183 p.
Cuadras C.M. (1996) Métodos de análisis multivariante. EUB, Barcelona.
Curran, Paul J. (1985): Principles of remote sensing. Longman Scientific and Technical. 282 p. ISBN: 978-0-582-30097-2.
Dalponte, M., Bruzzone, L., Vescovo, L. and Gianelle, D. (2009) The role of spectral resolution and classifier complexityin the analysis of hyperspectral images of forest areas. Remote Sensing of Environment, 113, 2345-2355.
Duda, R.O., Hart, P.E. and Stork, D.G. (2001) Pattern Classification. John Wiley & Sons, New York, 2a Edició, 654 p
Eastman, J.R. (2001) IDRISI32 Release 2: Guide to GIS and Image Processing. Clark University . Worcester, (2 vol.), 161+144 p.
Eklundh, J.O., Yamamoto, H. and Rosenfeld (1980) A relaxation method for multispectral pixel classification. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. PAMI-2, 72-75.
Foody, G.M. (2009) Classification accuracy comparison: Hypothesis tests and the use of confidence intervals in evaluations of difference, equivalence and non-inferiority. Remote Sensing of Environment, 113: 1658-1653.
Foody, G.M. and Mathur, A. (2004) Toward intelligent training of supervised image classifications: directing training data acquisition for SVM classification. Remote Sensing of Environment, 93: 107-117.
Foody, G.M. and Mathur, A. (2007) The use of small training sets containing mixed pixels for accurate hard image classification. Training on mixed spectral responses for classification by a SVM. Remote Sensing of Environment, 103: 179-189.
Franklin, J. (2010). Mapping Species Distributions. Spatial Inference and Prediction. Cambridge University Press, Cambridge.
Fukunaga, K. (1990) Introduction to Statistical Pattern Recognition. Elsevier, San Diego, 2nd edition, 591 p.
Goodchild, M. and Gopal, S. (eds) (1989) Accuracy of Spatial Databases. Taylor & Francis, London, 290 p.
Graham, Ron & Koh, Alexander (2002): Digital Aerial Survey, Theory and Practice. Whittles Publishing. 274 p. ISBN: 978-184995-085-5.
Graham, Ron& Read, Roger E. (1990): Manual de fotografía aérea. Omega, Barcelona. 359 p. ISBN: 84-282-0859-X.
Haralick, R. and Shapiro, L. (1985) Image segmentation techniques. Journal of Computer Vision, Graphics and Image Processing. 29:100-132.
Haralick, R.M., Shanmugam, K. and Dinstein, I. (1973) Textural features for image classification. IEEE Transactions on Systems, Man and Cybernetics, vol. SMC-3, 610-621.
Hastie, T., R. Tibshirani and J. Friedman (2009), The Elements of Statistical Learning (2nd edition). Springer-Verlag. 763 p. http://statweb.stanford.edu/~tibs/ElemStatLearn/
Höppner, F., F. Klawonn, R. Kruse and T. Runkler (1999) Fuzzy Cluster Analysis. Wiley, Chichester, 289 p. IEEE (2011) Special volume: Spectral Unmixing of Remotely Sensed Data. IEEE Transactions on Geoscience and Remote Sensing, Vol. 49.11.
Irons, J.R. and Petersen, G.W. (1981) Texture transformations of remote sensing data. Remote Sensing of Environment, 11:359-370.
Jansen, L.L.F. and Molenaar, M. (1995) Terrain objects, their dynamics and their monitoring by integration of GIS and remote sensing. IEEE Transactions on Geoscience and Remote Sensing, 33:749-758.
Jensen, J.R. (2004) Introductory Digital Image Processing. A Remote Sensing Perspective, Prentice Hall, Englewood Cliffs, 3ª edició, 544 p.
Karimi, Y., Prasher, S.O., Patel, R.M. and Kim, S.H. (2006) Application of support vector machine technology for weed and nitrogen stress detection in corn. Computers and electronics in agriculture, 51:99-109.
Kaufman and Rousseeuw, (1990) Finding Groups in Data: an Introduction to Cluster Analysis. John Wiley and Sons. 342 p.
Lillesand, T.M. and R.W. Kiefer (2003) Remote Sensing and Image Interpretation. John Wiley & Sons. New York, 5ª edició, 784 p.
Lillesand, T.M., Kiefer, R.W., & Chipman, J. (2015): Remote Sensing and Image Interpretation (7nd edition). John Wiley & Sons, Inc. New York. 768 p. ISBN:978-1-118-34328-9.
Little R.J.A. and Rubin D.B. (2002) Statistical Analysis with Missing Data. John Wiley, New York. 2ª edició, 381 p.
Lobo, A. (1997) Image segmentation and discriminant analysis for the identification of land cover units in ecology IEEE Transactions on Geoscience and Remote Sensing, 35: 1136-1145.
Lobo, A., Chic., O. and Casterad, A. (1996) Classification of mediterranean crops with multisensor data: perpixel versus perobject statistics and image segmentation. International Journal of Remote Sensing, 17: 2385-2400.
Lobo, A., Ibáñez Martí, J.J. and Carrera Giménez Cassina, C. (1997) Regional scale hierachical classification of temporal series of AVHRR vegetation index. International Journal of Remote Sensing, 18: 3167-3193.
Lu, W. and Weng, Q. (2007) A survey of image classification methods and techniques for improving classification performance. International Journal of Remote Sensing, 28: 823 – 870.
Manly, B.F.J. (1994). Multivariate statistical methods. A primer. Chapman and Hall, London. 2nd Edition
Marceau, D., Howarth, P.J., Dubois, J.M.M. and Graton, D.J. (1990) Evaluation of the greylevel cooccurence matrix method for landcover classification using SPOT imagery. IEEE Transactions on Geoscience and Remote Sensing, 28: 513-519.
Mas, J.F. and Flores, J.J. (2008) The Application of Artificial Neural Networks to the Analysis of Remotely Sensed Data. International Journal of Remote Sensing, vol. 29, no. 3, pp. 617-663 DOI 10.1080/01431160701352154
Mather, P.M. (2004) Computer Processing of Remotely-Sensed Images J. Wiley & Sons, Chichester, 3rd edition, 324 p..
McCoy, R.M. (2005) Field Methods in Remote Sensing. The Guilford Press, New York. 159 p.
Michie, D., Spiegelhalter, D.J. and Taylor, C.C. (eds) (1994) Machine Learning, Neural and Statistical Classification. Ellis Horwood.
Moré G, Pons X (2008) Influencia del número de imágenes en la calidad de la cartografía detallada de vegetación forestal. Revista deTeledetección, 28: 61-68.
Mountrakis, G., Jungho, I., Ogole, C. (2011) Support vector machines in remote sensing: A review. ISPRS Journal of Photogrammetry and Remote Sensing, 66: 247-259
Ninyerola M, Pons X, Roure JM. (2000). A methodologicalapproach of climatological modelling of air temperature and precipitation through GIS techniques. International Journal of Climatology 20: 1823-1841.
Paine, David P. & Kiser, James D. (2012): Aerial Photography and Image Interpretation (3rd edition). John Wiley & Sons Inc, New York. 648 p. ISBN: 978-0-470-87938-2.
Pedley, M. and Curran, P.J. (1991) Perfield classification: an example using SPOTHRV imagery. International Journal of Remote Sensing, 12: 2181-2192.
Persello, C. and Bruzzone, L. (2010) A Novel Protocol for Accuracy Assessment in Classification of Very High Resolution Images. IEEE Transactions on Geoscience and Remote Sensing, 48(3), 1232-1244.
Pons, X. and Arcalís, A. (2012) Diccionari terminològic de teledetecció Enciclopèdia Catalana i Institut Cartogràfic de Catalunya. Barcelona. 597 pàgs.
Richards, J. A. (2013) Remote Sensing Digital Image Analysis. An Introduction. Springer-Verlag, Berlin, 5th edition, 494 p.
Schowengerdt, R. A. (2006) Remote Sensing. Models and methods for image processing. Academic Press, San Diego, California, 2nd edition, 560 p.
Serra, P., Moré, G., Pons, X. (2009) Thematic accuracy consequences in cadaster land-cover enrichment from a pixel and from a polygon perspective. Photogrammetric Engineering and Remote Sensing, 75: 1441–1449.
Shahshahani, B.M., Landgrebe, D.A. (1994) The Effect of Unlabeled Samples in Reducing the Small Sample Size Problem and Mitigating the Hughes Phenomenon, IEEE Transactions on Geoscience and RemoteSensing. Vol. 32-5.
Shi, W., Fisher, P. and Goodchild, M. (2002) Spatial Data Quality. Taylor & Francis, 313 p.
Shirabe, T. (2005) Classification of Spatial Properties for Spatial Allocation Modeling. GeoInformatica, 9(3): 269–287.
Sokal, R. i Rohlf, J. 1995. Biometry: the principles and practice of statistics in biological research. 3ª edició. Ed. Freeman and Company. New York.
Sonka, Hlavac, and Boyle, (1993) Image Processing, Analysis, and Machine Vision. Chapman & Hall.
Spiegel, M.R. (1991) Estadística. McGraw Hill, 556 p.
StatSoft, Inc. (1999). STATISTICA for Windows [Computer program manual]. Tulsa, OK: StatSoft, Inc., WEB:http://www.statsoft.com
Stehman, S.V., Arora, M K., Kasetkasem, T., and Varshney, P.K. (2007) Estimation of Fuzzy Error Matrix Accuracy Measures Under Stratified Random Sampling. Photogrammetric Engineering & Remote Sensing, 73(2): 165-173.
Strahler, A., Woodcock, C and Smith., J.A. (1986) On the nature of models in remote sensing. Remote Sensing of Environment, 20: 121-139.
Tso, Br. and Mather, P.M. (2009) Classification methods for remotely sensed data. Taylor and Francis Grup, Boca Raton, 2nd edition.
Vázquez Maure, Francisco & Martín López José (1988): Fotointerpretación. Instituto Geografico Nacional, Madrid. 301 p. ISBN: 84-505-7312-2
Vogelmann, J.E., Tolk, B. and Zhu, Z. (2009) Monitoring forest changes in the southwestern United States using multitemporal Landsat data. Remote Sensing of Environment, 113: 1739-1748.
Woodcock, C.E. and Strahler, A.H. (1987) The factor of scale in remote sensing. Remote Sensing of Environment, 21: 311-332.
Yu, Q., Gong, P., Tian, Y.Q., Pu, R. and Yang, J. (2008) Factors Affecting Spatial Variation of Classification Uncertainty in an Image Object-based Vegetation Mapping. Photogrammetric Engineering & Remote Sensing, 74: 1007-1018.
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: FichasFotointerpretación 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
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".
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". 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”. 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. http://www.jars1974.net/pdf/rsnote_e.html
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