Herramientas automáticas de diagnóstico y corrección para aerofotogrametría

En Aerofotogrametría, el proceso de restitución (paso de imagen a formato electrónico vectorizado) es realizado por un operador humano, con asistencia de hardware y Software especializado -- Dicho proceso implica la traducción de accidentes geográficos, detalles topográficos, etc., la cual conlleva errores tanto geométricos (precisión) como topológicos (conectividad) de los datos digitales vectorizados -- Adicionalmente, aun si la vectorizacion es perfecta, los editores en etapas subsecuentes deben realizar tareas repetitivas: formateo, marcado, ajuste de convenciones, etc., que por el tamaño de los archivos de datos se hacen prolongadas y propensas al error -- Tanto los procesos de corrección como de formateo y marcado requieren además la ejecución de entradas / salidas con el usuario en el computador, proceso que es particularmente lento -- Esta investigación presenta el desarrollo de herramientas automáticas de (i) detección y corrección de errores comunes en los planos restituidos, (ii) partición y re-agrupación inteligentes de planos grandes, y (iii) formateo y marcado automático -- El desarrollo de software se hace usando el standard AIS (Application Interface Specification), lo que lo hace portable a los modeladores cuya interface AIS haya sido implementada -- El proyecto se desarrolla para la firma AeroEstudios LTDA de Colombia, la cual lo ha incorporado a sus herramientas de procesamiento de información digital

When the virtual influences reality. The conservation project of the toledo gate in ciudad real (Spain)

The Toledo Gate of Ciudad Real, Spain, constructed between the late 13th and early 14th centuries, is the last remaining portion of a once complete medieval city wall. It represents the long history of the city and constitutes its main heritage symbol, dividing the historic city centre from the later 19th and 20th century expansions. In October 2012, the Town Hall and the Montemadrid Foundation started the conservation works to preserve this important monument. The preliminary phase of this project included an in-depth series of scientific studies which were carried out by a multidisciplinary team focusing on archival research, historic investigations, archaeological excavations as well as material composition analysis and main treatment application tests. As a result of these studies a series of virtual 3D models were created to inform, discuss and study the monument. A first digital model permitted visualization of the gate in the 19th century and how the main entrance to the city was integrated as a fundamental part of the city walls. This virtual reconstruction also became an important part of the campaign to raise awareness among the citizens towards a monument that had remained in the shadows for the last century, isolated in a roundabout after the systematic demolition of the city walls in the late 19th century. Over the last three years and as a result of these archaeological and historic investigations and subsequent virtual models, surprisingly new and interesting data were brought to light thus permitting the establishment and corroboration of a new and updated hypothesis of the Toledo Gate that goes beyond the previous ideas. As a result of these studies a new architectural typology with construction techniques of has been suggested. This paper describes how the results of this continuous and interdisciplinary documentation process have benefitted from a computer graphic reconstruction of the gate. It highlights how virtual reconstruction can be a powerful tool for conservation decision making and awareness raising. Furthermore, the interesting results of the final reconstruction hypothesis convinced the technical team responsible for the conservation to alter some aspects of the final project physical interventions in order to focus on some of the features and conclusions discovered through the virtual model study.

Reconstituição histórica virtual do retábulo-mor da Igreja do Espírito Santo de Évora: aplicação ao Património da infografia web-based

As a part of a multidisciplinary and integrated research, including conservation sciences and history, a proposal is presented for the historical reconstitution and the virtual restoration of the mannerist altarpiece of the main altar at the Espírito Santo Church, in Évora. The collected data is abundant and the scientific information, because of its technicality, is less prone to be easily understood by the general public, thus becoming less accessible. Web-based infographics are explored as privileged forms of disseminating results and raising awareness to Cultural Heritage. The project materializes as an Internet platform where data and a reconstitution proposal are shared in a visual and interactive way. In addition to the digital virtual reconstitution (2D), some tridimensional models (3D) are presented of various elements of the altarpiece, obtained using methods of computer graphics and digital photogrammetry

TÉCNICAS CARTOGRÁFICAS PARA LA ORDENACIÓN DEL TERRITORIO Y SU DESARROLLO URBANÍSTICO. APLICACIÓN EN LA PLANIFICACIÓN DE GUADALAJARA-ESPAÑA Y TEGUCIGALPA-HONDURAS.

Es un hecho constatable que la cartografía y el urbanismo está íntimamente relacionado. El desarrollo tecnológico experimentado en la Cartografía y en disciplinas afines como la geodesia, la topografía, los Modelos Digitales del Terreno, la fotogrametría, la teledetección y la gestión de las basesde datos relacionadas, utilizando como herramienta los S.I.G´s, nos han permitido cartografiar, con la precisión requerida, el Término Municipal de Guadalajara-España para la ordenación del Plan 2000 y su desarrollo. Todas ellas pretendemos ponerlas en práctica para la ordenación territorial deTegucigalpa-Honduras, realizando como paso previo su Red G. P. S.Palabras clave: Cartografía, Urbanismo, Geodesia, Ordenación Territorial.ABSTRACTIt is an indisputable fact that cartography and urban planning are inextricably linked. Technological development experienced in cartography and related disciplines, such as geodesy, surveying, Digital Terrain Models, photogrammetry, remote sensing and management of related databases using GIS as the tool, has enabled us to map with required precision the municipality of Guadalajara (Spain) to manage the Plan 2000 and its development. The intention now is to implement in Tegucigalpa (Honduras) the same regional land use planning using the GPS network.Key words: Cartography. Urban Planning. Geodesy. Regional Land Use Planning. 

Field-oriented assessment of agricultural crops through temporal segmentation of modis VI data.

Monitoring agricultural crops constitutes a vital task for the general understanding of land use spatio-temporal dynamics. This paper presents an approach for the enhancement of current crop monitoring capabilities on a regional scale, in order to allow for the analysis of environmental and socio-economic drivers and impacts of agricultural land use. This work discusses the advantages and current limitations of using 250m VI data from the Moderate Resolution Imaging Spectroradiometer (MODIS) for this purpose, with emphasis in the difficulty of correctly analyzing pixels whose temporal responses are disturbed due to certain sources of interference such as mixed or heterogeneous land cover. It is shown that the influence of noisy or disturbed pixels can be minimized, and a much more consistent and useful result can be attained, if individual agricultural fields are identified and each field's pixels are analyzed in a collective manner. As such, a method is proposed that makes use of image segmentation techniques based on MODIS temporal information in order to identify portions of the study area that agree with actual agricultural field borders. The pixels of each portion or segment are then analyzed individually in order to estimate the reliability of the temporal signal observed and the consequent relevance of any estimation of land use from that data. The proposed method was applied in the state of Mato Grosso, in mid-western Brazil, where extensive ground truth data was available. Experiments were carried out using several supervised classification algorithms as well as different subsets of land cover classes, in order to test the methodology in a comprehensive way. Results show that the proposed method is capable of consistently improving classification results not only in terms of overall accuracy but also qualitatively by allowing a better understanding of the land use patterns detected. It thus provides a practical and straightforward procedure for enhancing crop-mapping capabilities using temporal series of moderate resolution remote sensing data.

Detecting outliers and asserting consistency in agriculture ground truth information by using temporal VI data from modis.

Collecting ground truth data is an important step to be accomplished before performing a supervised classification. However, its quality depends on human, financial and time ressources. It is then important to apply a validation process to assess the reliability of the acquired data. In this study, agricultural infomation was collected in the Brazilian Amazonian State of Mato Grosso in order to map crop expansion based on MODIS EVI temporal profiles. The field work was carried out through interviews for the years 2005-2006 and 2006-2007. This work presents a methodology to validate the training data quality and determine the optimal sample to be used according to the classifier employed. The technique is based on the detection of outlier pixels for each class and is carried out by computing Mahalanobis distances for each pixel. The higher the distance, the further the pixel is from the class centre. Preliminary observations through variation coefficent validate the efficiency of the technique to detect outliers. Then, various subsamples are defined by applying different thresholds to exclude outlier pixels from the classification process. The classification results prove the robustness of the Maximum Likelihood and Spectral Angle Mapper classifiers. Indeed, those classifiers were insensitive to outlier exclusion. On the contrary, the decision tree classifier showed better results when deleting 7.5% of pixels in the training data. The technique managed to detect outliers for all classes. In this study, few outliers were present in the training data, so that the classification quality was not deeply affected by the outliers.