Analysis of Thematic Classified Aerial Images Trough Multispectral and LIDAR Data

The application of thematic maps obtained through the classification of remote images needs the obtained products with an optimal accuracy. The registered images from the airplanes display a very satisfactory spatial resolution, but the classical methods of thematic classification not always give better results than when the registered data from satellite are used. In order to improve these results of classification, in this work, the LIDAR sensor data from first return (Light Detection And Ranging) registered simultaneously with the spectral sensor data from airborne are jointly used. The final results of the thematic classification of the scene object of study have been obtained, quantified and discussed with and without LIDAR data, after applying different methods: Maximum Likehood Classification, Support Vector Machine with four different functions kernel and Isodata clustering algorithm (ML, SVM-L, SVM-P, SVM-RBF, SVM-S, Isodata). The best results are obtained for SVM with Sigmoide kernel. These allow the correlation with others different physical parameters with great interest like Manning hydraulic coefficient, for their incorporation in a GIS and their application in hydraulic modeling.

Caracterización de variables geoespaciales mediante teledetección multiespectral y su integración en la modelización hidráulica de la cuenca del río Tinguiririca (Chile)

Este proyecto tiene como objetivo ampliar, mediante la caracterización espectral y multitemporal por técnicas de teledetección y medidas in situ, el estudio del corredor fluvial para el río Tinguiririca en Chile. Consiste en estudiar la cobertura del terreno, evaluar su dinámica de cambio e identificar zonas de acumulación de materiales de alteración hidrotermal arcillosos y óxidos de hierro, presentes en la cuenca durante las últimas tres décadas que puedan explicar su evolución temporal. Se pretenden obtener nuevas variables geoespaciales que ayuden a comprender las posibles causas de variación del cauce, elaborando cartografía para una posterior fase de investigación mediante modelización hidráulica que vaya dirigida a paliar el impacto de las riadas periódicas. Para ello, se han empleado, tratado y explotado imágenes de los sensores remotos TM, ETM+, OLI y TIRS tomadas en un período comprendido entre 1993 y 2014, que se han contrastado con perfiles batimétricos, datos GPS, supervisión y muestreo tomados sobre el terreno. Se ha realizado así mismo, un estudio prospectivo de caso sobre cómo afectarían las variables obtenidas por teledetección a la modelización hidráulica, en particular, la rugosidad, proponiendo un marco metodológico global de integración de las tres técnicas: sistemas de información geográfica, teledetección y modelización hidráulica. ABSTRACT This project aims to develop the study of Tinguiririca River corridor in Chile, through spectral characterization and multitemporal remote sensing and other measurements. This involves studying the land cover, its dynamic changes and identifies clayey materials and iron oxides accumulations of hydrothermal alteration, present in the basin during the last three decades to explain their evolution. It aims to obtain new geospatial variables in order to understand the possible causes of channel variation, developing mapping to a later research stage using hydraulic modeling so as to mitigate the impact of periodic floods. In this way, it has used processed and exploited images of TM, ETM +, OLI and TIRS remote sensing, taken in a period between 1993 and 2014 which it has been compared with bathymetric profiles, GPS, monitoring and sampling data collected in the field . It has done a prospective study about the variables obtained condition on hydraulic modeling, roughness in particular, proposing IX a complete methodological framework about the integration of the three techniques: geographic information systems, remote sensing and modeling hydraulics