Análise geoambietal para o planejamento de obras civis lineares: uma abordagem por sensoriamento remoto orbital

Construction of linear engineering as, roads, ducts and multiducts as roads, has a strong feature of the diversity of land on which they are deployed. This diversity involves properties geological, geomorphological and structural variety. The purpose of this work is to characterize the physical environment in relation to their ability to support the implementation of civil works linear. To achieve this, the use of orbital remote sensing, in this case, Landsat - TM. Interpretative techniques are applied to images in order to assess the forms of relief and drainage found that they can set properties and have built a favorable meaning or not to implement these works. The results and thematic maps presented in this study allow us to promote the geoenvironmental analysis for the planning phase sustainable linear civil constructions (roads and multiducts)

Análise das alterações temporais dos fragmentos de vegetação no centro experimental do Instituto Agronômico, Campinas, utilizando técnicas de sensoriamento remoto e geoprocessamento

O presente estudo tem como objetivo principal realizar um levantamento temporal das áreas de vegetação no Centro Experimental de Campinas (CEC), uma fazenda de propriedade do Instituto Agronômico (IAC), a partir de técnicas de geoprocessamento e fotointerpretação. O local de estudo situa-se no município de Campinas - SP, e a área em questão foi escolhida por estar situada dentro de uma propriedade do estado e por apresentar uma grande mudança histórica no que diz respeito à vegetação. Também por que, apesar de ser um centro de experimentação agrícola, esse estudo demonstrara como num intervalo de quarenta anos a consciência ecológica muda radicalmente dentro do Centro. Para a realização deste trabalho, foram utilizadas fotografias aéreas digitais da fazenda dos vôos referentes aos anos de 1964, 1972 e 2002, todas de propriedade do acervo do Laboratório de Geoprocessamento do Centro de Conservação dos Solos do IAC. Alem da foto de satélite da fazenda obtida no software Google Earth, com data de 2006. Analisando imagens e mapas, observou-se como a área vegetada aumentou no Centro Experimental de Campinas nesse intervalo de quarenta e dois anos, passando de 7,55% (52.383 ha) em 1964 para 34,13% (236,497 ha) da área total do centro em 2006. Também pode-se ver que hoje há uma preocupação muito grande com a manutenção e conservação dessas matas.

A tradução de termos simples, expressões fixas e semifixas em um corpus paralelo da área de sensoriamento remoto: uma proposta de glossário bilíngue

Pós-graduação em Estudos Linguísticos - IBILCE

Uso de empréstimos na tradução de termos na área do sensoriamento remoto: uma análise baseada em corpus

Como o empréstimo de palavras ocorre em praticamente todas as línguas, o objetivo desta pesquisa foi examinar um corpus paralelo na área de sensoriamento remoto para analisar termos simples, complexos e compostos traduzidos por meio de empréstimo linguístico. Esta investigação baseou-se na abordagem adotada por CAMARGO (2005, 2007), a qual se apóia nos Estudos da Tradução Baseados em Corpus (BAKER, 1995, 1996; TOGNINI-BONELLI, 2001), na Linguística de Corpus (BERBER SARDINHA, 2004) e, em parte, na Terminologia (BARROS; KRIEGER & FINATTO, 2004). Para a extração dos dados foi utilizado o programa WordSmith Tools, versão 6.0 (SCOTT, 2012). No tocante aos resultados, foram encontrados termos traduzidos por meio de empréstimos com explicitação, quando de sua primeira utilização no texto.

Investigando a tradução de acrônimos e siglas da área de sensoriamento remoto: uma proposta do ponto de vista fraseológico

The aim is to analyze a corpus of remote sensing in order to identify acronyms in English and then search for their equivalents in Portuguese. The research is based on the approach of Corpus-Based Translation Studies (BAKER, 1995), Corpus Linguistics (BERBER SARDINHA, 2004), and Phraseology (PAVEL, 2003). The program WordSmith Tools version 6.0 is used. The results show that there is no standardization in these translations.

Proposta de elaboração de um glossário bilíngue de termos simples, expressões fixas e semifixas da área de sensoriamento remoto

Brazil was one of the countries that stood out in the list of nations that publishes more articles in scientific journals. From 2007 to 2008, the Brazilian scientific production has moved from 15th to 13rd place in the world ranking published articles in professional journals. However, 60% of articles published by the Brazilians are in Portuguese, which makes the Brazilian work have little international attention. The purpose of this research is to build and analyze a parallel corpus composed of a book of Remote Sensing and its translation in the direction English into Portuguese in order to create a glossary of most recurrent terms in the literature of Remote Sensing. The achievement of these goals will take for theoretical and methodological foundation the Corpus-Based Translation Studies (BAKER, 1993, 1995, 1996; CAMARGO, 2005), Corpus Linguistics (BERBER SARDINHA, 2004) and principles of Terminology (BARROS, 2004; KRIEGER & FINATTO, 2004). It will also use Wordsmith Tools program and its tools. Besides the parallel corpus, we will also build two comparable corpora respectively from articles published in Brazilian and international journals in the area. The first results show that the translators made use of greater variation of vocabulary in their translations, which can be a way to make the text more clear to the reader. For the analysis of glossary entries, professionals from the National Institute for Space Research - INPE, will be consulted and their views aggregated to this research to give consistency to the production of the proposed bilingual glossary.

Análise das colocações especializadas da área de sensoriamento remoto sob a perspectiva da fraseologia

The aim of this research is to build and analyze a parallel corpus in the field of remote sensing in order to identify, according to its frequency, specialized collocations in English and then search for their equivalents in Portuguese. The research is based on the interdisciplinary approach of Corpus-Based Translation Studies (BAKER, 1995; CAMARGO, 2007), Corpus Linguistics (BERBER SARDINHA, 2004; TOGNINI-BONELLI, 2001), Phraseology (ORENHA-OTTAIANO, 2009; PAVEL, 1993), and some principles of Terminology (BARROS, 2004). For manipulating the corpora, the program WordSmith Tools (SCOTT, 2012) version 6.0 is used. To support this study, two comparable corpora in English and Portuguese were also built from articles published in both national and international journals in remote sensing. The results show that the collocations in Portuguese seem to be still in the process of conventionalization, as the translators made use of greater variation in their translational options, which can be a way to make the text clearer for the reader.

Desenvolvimento do sistema computacional CARTOMORPH para processamento de imagens de sensoriamento remoto

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Sensoriamento remoto multifonte aplicado na detecção do fitoplâncton em águas interiores

Blooms of phytoplankton can be a risk to human health and aquatic biota, so the adoption of monitoring methods of phytoplankton and mechanisms for preventing its occurrence are needed. Thus, traditional monitoring methods could be more effective if complemented by approaches using the optical properties of phytoplankton pigments by means of Remote Sensing. In order to evaluate the potential of multi-scale remote sensing for detection of the phytoplankton activity, a study area was selected in Nova Avanhandava reservoir, located in the Tiete River, SP. For this analysis, hyperspectral field data and multispectral images of low and medium spatial resolution (Modis and RapidEye) were acquired and were related to indicator limnological variables of phytoplankton behavior; chlorophyll a and phycocyanin. The results show that a specific spectral band of RapidEye system (690-730 nm) allowed detect chlorophyll a and to evaluate the phytoplankton biomass, however hyperspectral data are needed to detect the phycocyanin pigment, indicative of cyanobacteria.

Produtividade de biomassa de cana-de-açúcar em função dos índices de vegetação utilizando técnicas de sensoriamento remoto

Pós-graduação em Agronomia (Ciência do Solo) - FCAV

Discriminação de classes de cobertura vegetal utilizando técnicas de classificação digital de imagens de sensoriamento remoto

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.

Classificação de imagens em áreas cultivadas com citrus por técnicas de sensoriamento remoto e geoestatística

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Zoneamento geoambiental do município de São João da Boa Vista (SP)

Pós-graduação em Geociências e Meio Ambiente - IGCE

Geoprocessamento aplicado ao desenvolvimento de uma base de dados do Município de Botucatu

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Batimetria fluvial estimada com dados orbitais: Estudo de caso no alto curso do rio Paraguai com o sensor ASTER

The Paraguay River is the main tributary of the Paraná River and has an extension of 1.693 km in Brazilian territory. The navigability conditions are very important for the regional economy because most of the central-west Brazilian agricultural and mineral production is transported by the Paraguay waterway. Increased sedimentation along the channel requires continuous dredging to waterway maintenance. Systematic bathymetric surveys are periodically carried out in order to check depth condition along the channel using echo-sounding devices. In this paper, digital image processing and geostatistical analysis methods were used to analyze the applicability of the ASTER sensor to estimate channel depths in a segment of the upper Paraguay River. The results were compared with field data in order to choose the band with better adjustment and to evaluate the standard deviation. Comparing the VNIR bands, the best fit was presented by the red wavelength (band 2; 0,63 - 0,69 μm), showing a good representation of the channel depths shallow than 1,7 m. Applying geostatistical methods, the model accuracy was enhanced from 43 cm to 36 cm and undesired components were slacked. It was concluded that the digital number of band 2, converted to bathymetry information allows a good estimation of river depths and channel morphology.