67 resultados para Geographic Information Systems (GIS)
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Understanding the linkages between the natural elements is essential for being promoted the land use, occupation and sustainable management of environmental systems. Universal Soil Loss Equation (USLE), as a predictive model of erosion, is important to allowing the prevention of possible environmental impacts which may drastically interfere in natural or anthropic environments, as well as prevent potential financial wastes and even contribute to greater efficiency of agricultural production. This research will be working some USLE parameters, emphasizing topographic factor from Ribeirão Monjolo Grande watershed. Among the factors considered by the USLE, the Topographic Factor interferes directly in the erosive dynamic of a watershed because it involves variables related to hydrological processes that occur on it. In this research, were discussed different methods for obtaining the Topographic Factor (BERTONI e LOMBARDI NETO, 1985; MOORE e BURCH, 1986; DESMET E GOVERS, 1996) in GIS environment. After comparison between the methods, was indicated that best represents the conditions of geometry strand of the study area. Finally, other factors (R, K, C, P) considered by the USLE were obtained. The attainment of these parameters were guided by the use of geotechnologies, especially in Geographic Information Systems (GIS), with the assistance of secondary data and periodic field visits. The results obtained contributed to the understanding of hydrosedimentological dynamic in this area and serve as a viable strategy for studies of soil loss, aiming at developing consistent material for future researches about environmental planning and land management
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Pós-graduação em Agronomia (Ciência do Solo) - FCAV
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Pós-graduação em Engenharia Mecânica - FEG
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Pós-graduação em Geociências e Meio Ambiente - IGCE
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The understanding of the geo-morphological characteristics allows the identification of flood areas and instability slopes among others important features for land use planning. The study of the hydrological net and the analysis of morphometric parameters help in the geomorphologic characterization, providing specific physics indicators that quantify the risks for environmental damages. The present work used Geographic Information Systems (GIS) and carried out the morphometric analysis of two watersheds in the Alto Rio Sorocaba, municipality of Ibiuna (SP). Using digitalized topographic bases in the scale 1:50,000, the main morphometric parameters were extracted and the Digital Elevation Model (DEM) was obtained. Hence the slope, ground illumination, hill orientation and relief feature maps were elaborated. The characteristics for the two watersheds were quite similar, both have low risks for floods and landslides. Therefore, the concave feature is the predominant hill shape for both watersheds. The morphometric parameters directly related to the river density of the watersheds showed some differences, because the Sorocabuçú watershed presents higher value, resulting in a higher level of relief development. Thus, with this characterization it is possible to provide subsidies for environmental planning actions to the area.
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Considering current technological progresses, they prove to be useful tools to be increasingly exploited in order to meet the population's needs. Generally, in Brazil, the Mobile Emergency Services (SAMU) tend to be limited to the management of incidents, which undermines the efficiency of these bodies. In this context, this final dissertation aims to present the use of Geographic Information Systems (GIS) for the SAMU in the cities of Feira de Santana BA and Rio Claro SP, integrating occurrences data related to trauma by cold weapon injuries, injury by gun, and assaults, in the period 2012-2013, as well as census data. The study was developed in stages that included obtaining data related to trauma events linked to urban violence, and statistical Census data (2010), provided by the Brazilian Institute of Geography and Statistics (IBGE). Regarding the GIS, the free software Quantum GIS (QGIS) was adopted for processing and spatializing data, assuming the districts as units of study, in the urban area of the cities analyzed. The resulting research products were presented in thematic maps format, which conducted to a comparative analysis of the occurrences related to traumas. The achieved results were satisfactory, and a database in GIS was developed, integrating occurrences data by Cold Weapon Injuries (FAB), Injury by Gun (FAF) and Assaults with census data, allowing the proper use and update of the system. Making a comparative analysis between the two cities, it was possible to establish that Rio Claro presents more occurrences when it comes to FAF, FAB and Aggression recorded at SAMU per 100,000 inhabitants than Feira de Santana. Thus, although Rio Claro's population is about three times smaller than Feira de Santana's, it can be said that Rio Claro is a more violent city, considering the factors analyzed. It is possible to infer that the use of GIS applied to the SAMU in medium-sized cities is feasible, and it has the advantage...
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This study aimed to evaluate a period of 38 years, the use and soil occupation of the Paradise River watershed, inserted in the citys of São Manuel and Areiópolis-SP using aerial photographs for the year 1972 and TM image (Thematic Mapper) obtained by the Landsat-5 satellite, in 2010, using geoprocessing techniques. The watershed in question is very important for the city of São Manuel-SP, because its urban area is inserted in its divisors which part of it belongs to the Environmental Protection Area (APA) Perimeter Botucatu-SP, considered a recharge area of the aquifer Guarani. Today, the development of agriculture faces challenges, which is to produce more food without impacting the environment. Allied to this concern, research institutions have sought new technologies that allow the detection and quantification of human actions, enabling interventions in order to minimize possible damage to the environment. Among these technologies can be cited Geographic Information Systems (GIS), which a large volume of data and information stored in a region at different times can be evaluated in the same time, suggesting different approaches to the planning of land use. The results of the mapping of areas of use and soil occupation result nine classes in 1972, and the coffee culture showed the biggest occupation (37.94%) of the total area. The 2010 mapping formulated twelve classes of use, which demonstrated the predominance of sugar cane (37.94%), on the areas occupied by coffee and pasture before. The land use maps of 1972 and 2010 showed results that show intense human activity in the modification of natural landscape.
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The study aimed to obtain the land use of the watershed Stream São Caetano - Botucatu (SP), through the satellite image. The cartographic databases were: planialtimetric letter in digital format (IBGE) used in georeferencing, and satellite image. Geographic Information Systems (GIS) -IDRISI Selva was use to perform the image georeferencing and to do the final thematic map. In the software CAD - CartaLinx, it was performed the delimitation of the area under study (boundary, drainage network and areas of use and coverage). The land use of the watershed showed that pasture was the class which occupied most of the area, with 34.51% (1117,94 ha), the remainder of the area was urban (692,19ha), forests (809,79ha), cultures (599,96ha) and a very small part of reforestation (19,53ha). The use of remote sensing and geoprocessing were very satisfactory in the present work. Technologies must be increasingly used in agricultural and environmental studies, because technological tools, such as Geographic Information System (GIS), present speed, efficiency, reliable results, helping in increasing sustainability
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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 use of geographic information systems (GIS), combined with advanced analysis technique, enables the standardization and data integration, which are usually from different sources, allowing you to conduct a joint evaluation of the same, providing more efficiency and reliability in the decision-making process to promote the adequacy of land use. This study aimed to analyze the priority areas of the basin agricultural use of the Capivara River, Botucatu, SP, through multicriterial analysis, aiming at conservation of water resources. The results showed that the Geographic Information System Idrisi Selva combined with advanced analysis technique and the weighted linear combination method proved to be an effective tool in the combination of different criteria, allowing the determination of the adequacy of agricultural land use less subjective way. Environmental criteria were shown to be suitable for the combination and multi-criteria analysis, allowing the preparation of the statement of suitability classes for agricultural use and can be useful for regional planning and decision-making by public bodies and environmental agents because the method takes into account the rational use of land and allowing the conservation of hydrics resources.
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A methodology for analyzing the solar access and its influence on both air temperature and thermal comfort of the urban environment was here developed by applying the potentiality of GIS tools. Urban canyons in a specific area of a Brazilian medium sized city were studied. First, a computational algorithm was applied in order to allow the determination of sky view factors (SVF) and sun-paths in urban canyons. Then, air temperatures in 40 measurement points were collected within the study area. Solar radiation values of these canyons were determined and subsequently stored in a GIS database. The creation of thermal maps for the whole neighbourhood was possible due to a statistical treatment of the data, by promoting the interpolation of values. All data could then be spatially cross-examined. In addition, thermal comfort maps for summer and winter periods were generated. The methodology allowed the identification of thermal tendencies within the neighbourhood, what can be useful in the conception of guidelines for urban planning purposes.
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MODSI is a multi-models tool for information systems modeling. A modeling process in MODSI can be driven according to three different approaches: informal, semi-formal and formal. The MODSI tool is therefore based on the linked usage of these three modeling approaches. It can be employed at two different levels: the meta-modeling of a method and the modeling of an information system.In this paper we start presenting different types of modeling by making an analysis of their particular features. Then, we introduce the meta-model defined in our tool, as well as the tool functional architecture. Finally, we describe and illustrate the various usage levels of this tool.
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The acquisition and update of Geographic Information System (GIS) data are typically carried out using aerial or satellite imagery. Since new roads are usually linked to georeferenced pre-existing road network, the extraction of pre-existing road segments may provide good hypotheses for the updating process. This paper addresses the problem of extracting georeferenced roads from images and formulating hypotheses for the presence of new road segments. Our approach proceeds in three steps. First, salient points are identified and measured along roads from a map or GIS database by an operator or an automatic tool. These salient points are then projected onto the image-space and errors inherent in this process are calculated. In the second step, the georeferenced roads are extracted from the image using a dynamic programming (DP) algorithm. The projected salient points and corresponding error estimates are used as input for this extraction process. Finally, the road center axes extracted in the previous step are analyzed to identify potential new segments attached to the extracted, pre-existing one. This analysis is performed using a combination of edge-based and correlation-based algorithms. In this paper we present our approach and early implementation results.
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Riparian forest restoration projects in the Tropics are complex, demanding longterm research, continuous human efforts and correct use of financial resources. This paper presents an approach to rank priority areas for riparian forest restoration on the upper section of the Pardo River watershed, in São Paulo, Brazil, using remote sensing and GIS techniques. Pardo River watershed is specially important, since it is the major source of drinking water supply for the region and water for domestic and industrial use within Botucatu and surrounding. Results indicated that riparian restoration should involve 81,27% of the protected area and could be made in three phases, allocating resources according to a priority scale.