61 research outputs found
Aplicación del enfoque multi-índice con imágenes Sentinel-2 para obtener áreas urbanas en la estación seca (Zonas semiáridas en el noreste de Argelia)
[EN] The mapping of urban areas mostly presents a big difficulty, particularly, in arid and semi-arid environments. For that reason, in this research, we expect to increase built up accuracy mapping for Bordj Bou Arreridj city in semi-arid regions (North-East Algeria) by focusing on the identification of appropriate combination of the remotely sensed spectral indices. The study applies the ‘k–means’ classifier. In this regard, four spectral indexes were selected, namely normalized difference tillage index (NDTI) for built-up, and both bare soil index (BSI) and dry bare-soil index (DBSI), which are related to bare soil, as well as the normalized difference vegetation index (NDVI). All previous spectral indices mentioned were derived from Sentinel-2 data acquired during the dry season. Two combinations of them were generated using layer stack process, keeping both of NDTI and NDVI index constant in both combinations so that the multi-index NDTI/BSI/NDVI was the first single dataset combination, and the multi-index NDTI/DBSI/NDVI as the second component. The results show that BSI index works better with NDTI index compared to the use of DBSI index. Therefore, BSI index provides improvements: bare soil classes and built-up were better discriminated, where the overall accuracy increased by 5.67% and the kappa coefficient increased by 12.05%. The use of k-means as unsupervised classifier provides an automatic and a rapid urban area detection. Therefore, the multi-index dataset NDTI/ BSI / NDVI was suitable for mapping the cities in dry climate, and could provide a better urban management and future remote sensing applications in semi-arid areas particularly.[ES] La cartografía de las zonas urbanas presenta una gran dificultad, especialmente en los entornos áridos y semiáridos. Por esa razón, en esta investigación esperamos aumentar la precisión de la cartografía de la ciudad de Bordj Bou Arreridj en las regiones semiáridas (noreste de Argelia) centrándose en la identificación de la combinación adecuada de los índices espectrales obtenidos por teledetección. El estudio aplica el clasificador ‘k-means’. A este respecto, se seleccionaron cuatro índices espectrales, a saber, el índice de labranza de diferencia normalizada (NDTI) para el área construida, el índice de suelo desnudo (BSI) y el índice de suelo desnudo seco (DBSI), que están relacionados con el suelo desnudo, así como el índice de vegetación de diferencia normalizada (NDVI). Todos los índices espectrales anteriores mencionados se derivaron de datos Sentinel-2 adquiridos durante la estación seca (agosto). Se generaron dos combinaciones de ellas utilizando el proceso de superposición de capas, manteniendo constante tanto el índice NDTI como el índice NDVI en ambas combinaciones, de modo que el multi-índice NDTI/BSI/NDVI fue la primera combinación de conjuntos de datos, y el multi-índice NDTI/DBSI/NDVI fue el segundo componente. Los resultados muestran que el índice BSI funciona mejor con NDTI en comparación con el uso de DBSI. Por lo tanto, BSI proporciona mejoras: las clases de suelo desnudo y la de construcciones fueron mejor discriminadas, aumentando la precisión global en un 5,67%, y el coeficiente kappa un 12,05%. El uso de k-means como clasificador no supervisado proporciona una detección del área urbana automática y rápida. Por lo tanto, el conjunto de datos de varios índices NDTI/ BSI/ NDVI fue adecuado para cartografiar las ciudades en clima seco, y podría proporcionar una mejor gestión urbana y futuras aplicaciones de teledetección en zonas semiáridas en particular.Rouibah, K.; Belabbas, M. (2020). Applying Multi-Index approach from Sentinel-2 Imagery to Extract Urban Area in dry season (Semi-Arid Land in North East Algeria). Revista de Teledetección. 0(56):89-101. https://doi.org/10.4995/raet.2020.13787OJS89101056Al-Quraishi, A. ( 2011). Drought mapping using Geoinformation technology for some sites in the Iraqi Kurdistan region. 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Un système d'aide au traitement des informations de veille stratégique : concepts, méthode et résultats
RÉSUMÉ Cette recherche s¿inscrit dans le cadre du traitement des informations fragmentaires et incertaines (IFI) de veille stratégique. Le traitement des IFI est un problème peu structuré, pour lequel il existe peu de recherches utiles aux dirigeants d¿entreprises. Devenu un axe de recherche assez récent, les recherches sur ce problème sont assez rares. La conception d'un système de traitement est alors utile pour aider à comprendre le processus du traitement des IFI, capitaliser de nouvelles connaissances par retour d'expériences et suggérer de nouvelles perspectives. L'article décrit la conception de la méthodologie, le prototype développé et les enseignements tirés à partir des premières formes de validation. ABSTRACT Interpretating weak signs of business intelligence is an ill-structured problem encountered by many companies' managers. Those managers do not know how to interpret weak signs in order to extract meaning from anticipatory and fragmentary information elements. Surveys and action researches performed by our team confirm this problem and therefore, it becomes our main research focus. Because there is little underlying theory available on the subject, the design of a system helps to collect the reactions of end-users and to pick up relevant observations with a view to increase the understanding both weak sign interpretation and the business intelligence process. The method, the system and the issues that emerge from their validation are described
Combining workflow and PDM based on the workflow management coalition and STEP standards: the case of axalant
Product data management (PDM) current technology has several pitfalls such as lack of compliance of workflow modules to standards as well as lack of interoperability between these systems. This paper illustrates the extension of the current workflow management system part of the PDM system axalant to support engineering processes management. The extension was based on an analysis of the workflow management coalition and STEP standards and, through the extension described in the paper, now axalant complies with these standards. Because of this it is now possible to exchange workflow data with existing workflow systems on the market. In this paper the two standards are analysed, the required workflow architecture is specified, and the resulting implementation is described. The necessary enhancements include the extension of the data model of axalant, the modification of the corresponding software, the modification of the user interface and the link to the interface between axalant and ProView, which helps to generate graphical process definitions. Major achievements consist of the enhancement of process design through the creation of building blocks (split- and join-operations) as well as the enhancement of organizational structure through the usage of roles as a resource for process activities. Moreover, the paper adds flexibility for axalant to handle changes, and axalant is able to generate workflow templates and ad-hoc processes and to communicate with external workflow systems
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An engineering workflow system for the management of engineering processes across company borders
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