20 resultados para Digital mapping -- Databases
Resumo:
Pós-graduação em Televisão Digital: Informação e Conhecimento - FAAC
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In Brazil, the discussion about thereplacement of analog television signals to digitaland its impact on society, in media companies andgovernment began in the 90s. Embryonic steps towardsdigitalisation of the television signal ground were thegovernment of Fernando Collor de Mello (1990-1992),with advances during the government of FernandoHenrique Cardoso (1994-2001) and in the governmentof Luiz Inacio Lula da Silva (2002). The academy startsthe discussion in 1996. This article aims to bring to lightthe results obtained from the survey Digital television:a historical perspective , which received the supportof CNPq for funding of two scholarships for scientifi cinitiation between August 2008 and July 2009. Theproject sought to identify what has been published onthe subject in the fi eld of Social Sciences and from threemacrodescritores (information management, publicpolicy and value chain), providing the li ing of a virtualcollection Zotero bibliographic innovative platform.The mapping serves to show the growing interest anddevelopment of research in the country during theperiod - when the number jumped to three works inthe fi rst seven years (1995-2001) to 198 in the last sevenyears (2002-2008). The research sought to identify themajor authors and works related to digital televisionand published in the country. The survey took intoaccount books, articles published in books, journals,Annals of Compós and Intercom, and dissertations andtheses. Data and refl ections on the survey are containedin this communication.
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This article seeks to contribute to the debate on the importance of cultural collective producers of anti-capitalist content, ownership of digital ecology by subaltern segments, the creation of the opposition media to exclusionary globalization and the articulation of alternative and radical public sphere for the recent demonstrations policies in planetary scale. Data were collected in the first half of 2013, on a course completion project in vehicles with citizen journalism characteristics ["Portal Fórum", "Outras Palavras" and "Observatório da Imprensa"]. Partial these mapping results indicate that these manifestations inherited anti-capitalist demands of previous decades, and amplified in [by digitally pathways] in political demonstrations that swept those abrasive months in major cities worldwide.
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The study aimed to obtain the land use of the watershed Ribeirão Santo Antonio - São Manuel (SP), through the thematic map of the satellite image. The cartographic databases were planialtimetric letter in digital format used in georeferencing and the satellite image. Geographic Information Systems (GIS) -IDRISI Andes 15.0 was use to perform the image georeferencing and to do the thematic map obtained from the visual interpretation the satellite image. The map of land use showed that the culture of sugar cane occupies most of the area (81.00%), when analyzing the satellite image. This result show us the predominance of agricultural occupation in the region. The thematic map obtained by the classification screen, using GIS, allowed the mapping of land use, generating data that will assist in future planning area recovery. The results of the study showed the efficiency, speed and reliability of the tools used, these being very useful for future projects.
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The aim of this work is to discriminate vegetation classes throught remote sensing images from the satellite CBERS-2, related to winter and summer seasons in the Campos Gerais region Paraná State, Brazil. The vegetation cover of the region presents different kinds of vegetations: summer and winter cultures, reforestation areas, natural areas and pasture. Supervised classification techniques like Maximum Likelihood Classifier (MLC) and Decision Tree were evaluated, considering a set of attributes from images, composed by bands of the CCD sensor (1, 2, 3, 4), vegetation indices (CTVI, DVI, GEMI, NDVI, SR, SAVI, TVI), mixture models (soil, shadow, vegetation) and the two first main components. The evaluation of the classifications accuracy was made using the classification error matrix and the kappa coefficient. It was defined a high discriminatory level during the classes definition, in order to allow separation of different kinds of winter and summer crops. The classification accuracy by decision tree was 94.5% and the kappa coefficient was 0.9389 for the scene 157/128. For the scene 158/127, the values were 88% and 0.8667, respectively. The classification accuracy by MLC was 84.86% and the kappa coefficient was 0.8099 for the scene 157/128. For the scene 158/127, the values were 77.90% and 0.7476, respectively. The results showed a better performance of the Decision Tree classifier than MLC, especially to the classes related to cultivated crops, indicating the use of the Decision Tree classifier to the vegetation cover mapping including different kinds of crops.