123 resultados para Ikonos Imagery


Relevância:

10.00% 10.00%

Publicador:

Resumo:

O objetivo deste artigo é averiguar a circulação de imagens e o surgimento de uma cultura visual política entre o México e o Brasil entre as décadas de 1920 e 1930. Busco examinar em especial como se constituíram repertórios visuais comuns entre os dois países, tanto na produção de imagens carregadas com uma retórica do engajamento político como de algumas imagens que num primeiro olhar poderiam passar por descompromissadas, mas que contribuíram para a construção do imaginário político. Embora minha intenção não seja de uma análise exaustiva, procuraremos averiguar diferentes suportes imagéticos, como as fotografias estampadas na imprensa diária assim como nas revistas ilustradas, cartazes, gravuras e demais expressões artísticas que subsidiem essa circulação de idéias estéticas e políticas entre os dois países. Parto da hipótese de que, apesar das dificuldades de intercâmbios existentes entre os dois países (língua, distância e falta de um contato maior entre seus artistas e intelectuais), ocorreu um intercâmbio de propostas políticas e culturais, principalmente entre redes de sociabilidade de artistas marcadamente no âmbito da esquerda política.

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Pós-graduação em Geografia - IGCE

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Relevância:

10.00% 10.00%

Publicador:

Resumo:

The objective of this study was to define a method for estimating soybean crop area in the Northern Rio Grande do Sul state (Brazil). Overall, six different remote sensing methods were proposed based on spectral-temporal profile and minimum and maximum values of NDVI/MODIS related to the stages of sowing, maximum development and harvesting of soybean areas. The resulting estimates were compared to official crop area data provided by the Brazilian government, using statistical analysis and the fuzzy similarity method. The performance of each method depended on information such as crop size, type of crop management, and sowing/harvesting dates. Regression coefficients of determination and fuzzy agreement values were above 0.8 and 0.45, respectively, for all methods. For operational monitoring of soybean crop area, the empirical threshold applied to the image difference with inclusion of harvest image method was the most effective, producing estimates that matched closely the official data. For spatial analysis the application of multitemporal images classification method is recommended that generated a map of better quality. The efficiency of these methods should be evaluated in the areas of soybean expansion in the state.

Relevância:

10.00% 10.00%

Publicador:

Resumo:

When registering spectral radiance from surface targets, digital numbers recorded by the imagery sensor may vary. Such variation causes imperfections on the images coming from aerial surveys. Variation in the image brightness related to the distance from the center of the image is known as the vignetting effect. Correcting this effect aims at achieving an homogeneous image brightness. The purpose of this paper is to present a specific methodology to determine a model in order to minimize this vignette effect based on a model fit by Least Squares Method (LSM), using digital numbers (DN) from shadowed regions. The main hypothesis is that the recorded DN of shadow pixels should be suitable to model the vignetting effect. Considering that the vignetting effect could be modeled as a trend of spatial image variation, a trend surface analysis of a sample of pixels from shadowed regions was carried out. Two approaches were adopted to represent the shadow regions of an image. The first one takes into account the components R, G, B of the aerial image within the visible spectral band, and the second one considers the component I of the HSI image. In order to evaluate the methodology, a study case with a color aerial image was carried out. The findings showed that the best results were obtained by applying the model in the RGB components, which allows to conclude that the vignetting effect can be modeled based on trend surfaces fit on shadow regions DN.

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Algae bloom is one of the major consequences of the eutrophication of aquatic systems, including algae capable of producing toxic substances. Among these are several species of cyanobacteria, also known as blue-green algae, that have the capacity to adapt themselves to changes in the water column. Thus, the horizontal distribution of cyanobacteria harmful algae blooms (CHABs) is essential, not only to the environment, but also for public health. The use of remote sensing techniques for mapping CHABs has been explored by means of bio-optical modeling of phycocyanin (PC), a unique inland waters cyanobacteria pigment. However, due to the small number of sensors with a spectral band of the PC absorption feature, it is difficult to develop semi-analytical models. This study evaluated the use of an empirical model to identify CHABs using TM and ETM+ sensors aboard Landsat 5 and 7 satellites. Five images were acquired for applying the model. Besides the images, data was also collected in the Guarapiranga Reservoir, in São Paulo Metropolitan Region, regarding the cyanobacteria cell count (cells/mL), which was used as an indicator of CHABs biomass. When model values were analyzed excluding calibration factors for temperate lakes, they showed a medium correlation (R²=0.81, p=0.036), while when the factors were included the model showed a high correlation (R²=0.96, p=0.003) to the cyanobacteria cell count. The empirical model analyzed proved useful as an important tool for policy makers, since it provided information regarding the horizontal distribution of CHABs which could not be acquired from traditional monitoring techniques.

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Pós-graduação em Agronomia (Energia na Agricultura) - FCA

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Techniques of image capture have advanced along with the technologies of information and communication and unthinkable numbers of information available and imagery are stored in digital environments. The objective of this study is point out difficulties found in the construction of imagetic representations of digital resources using the instruments available for the treatment of descriptive information. The results we have the mapping of descriptive elements to digital images derived from analyzing of the schemes to guide the construction of descriptive records (AACR2R, ISBD, Graphic Materials, RDA, CDWA, CCO) and the conceptual model FRBRer. The result of this analysis conducted the conceptual model, Functional Requirements for Digital Imagetic Data RFDID to the development of more efficient ways to represent the use of imagery in order to make it available, accessible and recoverable from the data persistence descriptive, flexibility, consistency and integrity as essential requirements for the representation of the digital image.

Relevância:

10.00% 10.00%

Publicador:

Resumo:

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

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Relevância:

10.00% 10.00%

Publicador:

Resumo:

The pipelines are characterized by the great length and linearity, these enterprises are usually associated with the horizon of soil and decomposed rock and accidents in this system usually have high complexity. So this work proposes a study of geological and geotechnical characterization of approximately 40 km ² and a study of risk analysis along 18.3 km of gas pipeline GASBOL, in the municipalities of Ipeúna-SP and Itirapina-SP, in scale 1:25.000, besides correlation between studies. The method for geological and geotechnical characterization is based on physiographic integrated analysis technique, which is supported by literature research, observation and interpretation of satellite imagery (photointerpretation), correlation of products numerical model of ground, fieldwork. The method adopted for risk classification is based on preliminary analysis of hazards (APP) technique, which is identified the geological process, this feature is classified as the susceptibility of occurrence, and then classified as the possible consequence of the process, if this evolves. As a product of the research, we designed a map in 1:25,000 scale, containing a table of geological and geotechnical characteristics of the mapped drives, as well as sectorization risk in each section of the pipeline. Were mapped geological and geotechnical seven units in the study area, delimited in excerpts of which five are classified as high risk, totaling 1.1 km in length of 18.3 km total