Arsenic contamination has been a growing concern for many countries, especially Bangladesh. In Bangladesh, one of the most arsenic-contaminated regions is Chandpur. In this study, groundwater data were analyzed in order to create models to improve knowledge on groundwater flow dynamic in a specific area of Chandpur called Matlab. Observation have shown that groundwater flows from north to southeast. The southeast part of Matlab is faced with excessive pumping for irrigation which could explain in part the flow direction. In this study, no predictive model was created due to a lack of data, but the key knowledge gaps are presented. Soil analysis, aquifers identification and study about the interaction between the Meghna river and the shallow aquifers are highlighted as the most crucial studies to decrease the knowledge gaps. Climate change will likely result in drier summer, an increase in rainfall during monsoon and an increase in extreme events. This will lead to more challenging living conditions for the rural population already facing many challenges. Therefore, further studies for knowledge acquisition need to be conducted, and new sustainable measures must be taken to prevent catastrophic outcomes. / Arsenikkontaminering har varit ett växande bekymmer för många länder, särskilt Bangladesh. En av de mest arsenikförorenade regionerna i Bangladesh är Chandpur. I denna studie analyserades grundvattendata för att skapa modeller för att förbättra kunskapen om grundvattenflödesdynamiken i Matlab-regionen i Chandpur-distriktet i sydöstra Bangladesh. Observationer har visat att grundvatten rinner från norr till sydost. Den sydöstra delen av Matlab står inför överdriven pumpning för bevattning som delvis skulle kunna förklara flödesriktningen. I denna studie skapades ingen förutspående modell på grund av brist på data, men de viktigaste kunskapsluckorna presenteras. Jordanalys, identifiering av vattendrag och studier om samspelet mellan Meghna-floden och de grunda vattendragen framhävs som de mest avgörande studierna för att minska kunskapsluckorna. Klimatförändringar kommer sannolikt att resultera i torrare somrar, en ökning av nederbörd under monsunen och en ökning av extrema händelser. Detta kommer att leda till mer utmanande levnadsvillkor för landsbygdsbefolkningen, som redan står inför många utmaningar. Därför behöver ytterligare studier för kunskapsinhämtning genomföras, och nya hållbara åtgärder måste vidtas för att förhindra katastrofala utfall.

<p>Digital elevation models (DEM) can be used for a multitude of applications. Under ideal circumstances, calibration of a remotely acquired estimate of topographic elevation is calibrated through use of ground control points (GCP) which would be ubiquitous, seamlessly joining remotely sensed data and high accuracy check points. In reality there are many areas on the earth’s surface which are difficult, expensive, or dangerous to access. Under these circumstances, the acquisition of GCPs may not be realistic and relative DEMs must be used. Innovative methods must then be used to determine the relative error associated with a DEM in a given study area. The method presented in this paper compares three DEMs (ASTER, CDED, SRTM) derived from independent acquisition systems to determine their relative errors.</p> <p>The ASTER DEM data was chosen for a lineament analysis study in north central Ontario, Canada. This study used a quantitative digital approach to determine the density of lineaments mimicking the geometry of the northern Sudbury Igneous Complex contact (SIC). The study revealed a lineament density at ~25km north of the northern SIC contact, suggesting a ring structure from an ancient multi-ring impact basin. This argument is supported by findings of the pattern of plagioclase clouding intensities in Matachewan dykes in the vicinity of the ring structure. The orientation of the dykes may have some connection to the faulting and block rotation caused by crater wall collapse.</p> <p>Paleomagnetic data from the norite in the SIC and Foy Offset dyke combined with an unconstrained magnetic inversion of the Foy Offset dyke suggest that the Sudbury Structure has not been folded, but instead has been deformed by brittle deformation.</p> / Master of Science (MSc)

The braided rivers and floodplains in the Upper Waitaki Basin (UWB) of the South Island of New Zealand are critical habitats for endangered and threatened fauna such as the black stilt. However, this habitat has degraded due to introduced predators, hydropower operations, and invasive weeds including Russell lupins. While conservation efforts have been made to restore these habitats, flood events may provide a natural mechanism for removal of invasive vegetation and re-creation of natural floodplain habitats. However, little is understood about the hydraulic effects of floods on vegetation and potential mortality in these dynamic systems. Therefore, this thesis analyzed the flood-induced processes that cause lupin mortality in a reach of the Ahuriri River in the UWB, and simulated various sized flood events to assess how and where these processes occurred. To determine the processes that cause lupin mortality, post-flood observations were utilized to develop the hypothesis that flood-induced drag, erosion, sediment deposition, inundation, and trauma were responsible. Field and laboratory experiments were conducted to evaluate and quantify these individual processes, and results showed that drag, erosion, sediment deposition and inundation could cause lupin mortality. Utilizing these mortality processes, mortality thresholds of velocity, water depth, inundation duration, and morphologic changes were estimated through data analysis and evaluation of various empirical relationships. Delft3D was the numerical model used to simulate 2-dimensional flood hydraulics in the study-reach and was calibrated in three stages for hydraulics, vegetation, and morphology. Hydraulic calibration was achieved using the study-reach topography captured by Structure-from-Motion (SfM) and various hydraulic data (depth, velocity, and water extent from aerial photographs). Vegetation inclusion in Delft3D was possible utilizing a function called ‘trachytopes’, which represented vegetation roughness and flow resistance and was calibrated utilizing data from a lupin-altered flow conveyance experiment. Morphologic calibration was achieved by simulating an observed near-mean annual flood event (209 m3 s-1) and adjusting the model parameters until the simulated morphologic changes best represented the observed morphologic changes captured by pre- and post-flood SfM digital elevation models. Calibration results showed that hydraulics were well represented, vegetation inclusion often improved the simulated water inundation extent accuracy at high flows, but that local erosion and sediment deposition were difficult to replicate. Simulation of morphological change was expected to be limited due to simplistic bank erosion prediction methods. Nevertheless, the model was considered adequate since simulated total bank erosion was comparable to that observed and realistic river characteristics (riffles, pools, and channel width) were produced. Flood events ranging from the 2- to 500-year flood were simulated with the calibrated model, and lupin mortality was estimated using simulation results with the lupin mortality thresholds. Results showed that various degrees of lupin mortality occurred for the different flood events, but that the dominant mortality processes fluctuated between erosion, drag, and inundation. Sediment deposition-induced mortality was minimal, but was likely under-represented in the modeling due to poor model sediment deposition replication and possibly over-restrictive deposition mortality thresholds. The research presented in this thesis provided greater understanding of how natural flood events restore and preserve the floodplain habitats of the UWB and can be used to aid current and future braided river conservation and restoration efforts.

This study demonstrates the value of historical aerial photographs as a source for monitoring long-term landslide evolution, which can be unlocked by using appropriate photogrammetric methods. The understanding of landslide mechanisms requires extensive data records; a literature review identified quantitative data on surface movements as a key element for their analysis. It is generally acknowledged that, owing to the flexibility and high degree of automation of modern digital photogrammetric techniques, it is possible to derive detailed quantitative data from aerial photographs. In spite of the relative ease of such techniques, there is only scarce research available on data quality that can be achieved using commonly available material, hence the motivation of this study. In two landslide case-studies (the Mam Tor and East Pentwyn landslides) the different types of products were explored, that can be derived from historical aerial photographs. These products comprised geomorphological maps, automatically derived elevation models (DEMs) and displacement vectors. They proved to be useful and sufficiently accurate for monitoring landslide evolution. Comparison with independent survey data showed good consistency, hence validating the techniques used. A wide range of imagery was used in terms of quality, media and format. Analysis of the combined datasets resulted in improvements to the stochastic model and establishment of a relationship between image ground resolution and data accuracy. Undetected systematic effects provided a limiting constraint to the accuracy of the derived data, but the datasets proved insufficient to quantify each factor individually. An important advancement in digital photogrammetry is image matching, which allows automation of various stages of the working chain. However, it appeared that the radiometric quality of historical images may not always assure good results, both for extracting DEMs and vectors using automatic methods. It can be concluded that the photographic archive can provide invaluable data for landslide studies, when modern photogrammetric techniques are being used. As ever, independent and appropriate checks should always be included in any photogrammetric design.

Detta arbete redogör för hur användning av den nya nationella höjdmodellen (NNH) ur/i Lantmäteriet databas kan användas i olika terräng och vilka förutsättningar det finns för identifiering av specifika landskapselement i denna, manuellt och visuellt. Sedan 2009 har Lantmäteriet laserskannat hela landet, både på land och över vatten. Uppdraget är slutfört 2015. Målet med laserskanning är att framställa en rikstäckande höjdmodell med ett medelfel som är bättre än 0.5 m. Idag är all NNH-data tillgänglig som LAS-filer på Lantmäteriets databas. För att kunna utföra ett utvärderingsexperiment valdes ett geografiskt begränsat område: I Skepplanda, Ale kommun i Västra Götalands län. De hjälpmedel som användes var GPS-mottagare, LAS-filer, Ortofoto och applikationsprogram såsom OL-laser och ArcGis. Det främsta syftet med studien var att undersöka hur bearbetning och utvärdering av olika kartmaterial kan utföras, för att sedan kunna bedöma i vilken mån användning av Lantmäteriets NNH-data, i olika typer av terräng, kan vara möjlig t.ex. hur små detaljer kan urskiljas i det. För undersökningen valdes specifika objekt, såsom stenmurar och ett dike. Tre olika kartunderlag framtogs av OL-laserprogrammet: lutningsbilder, intensitetsbilder och terrängskuggningsbilder. Utifrån insamling av inmätta punkter och med hjälp av vektordata kunde materialet utvärderas visuellt. Två kartor valdes, vilka uppfyllde kriterierna för att kunna uppnå studiens syfte. Eftersom kartan med terrängskuggning och lutningsbild ger en tydligare profil av områdets karaktäristiska drag på marknivå, är det möjligt att identifiera små markdetaljer såsom stenmurar och diken. Resultatet varierade från fall till fall, beroende på kartunderlaget. En mur på den ena platsen i en bild kunde t.ex. detekteras, men inte i en annan bild, trots att det finns en mur där. Studien visade att laserpulserna har svårt att tränga igenom tät vegetation, dock kan olika solvinklar och belysningsriktningar ändå framhäva vissa små markdetaljer under en tätskog. Andra faktorer som kan ha påverkat kvalitén på lasermaterialet är flyghöjden, laserskannerns vinkel och under vilken period under året skanningen genomfördes. Ett antagande gjordes, att laserskanning från lägre flyghöjd och mindre öppningsvinkel kan höja kvalitén på laserdata. Med dessa två faktorer kan högre upplösning per kvadratmeter yta uppnås. Ett annat sätt som kan vara aktuellt i en undersökning är att använda OL-laser verktygslåda och tillämpa andra inställningar genom att skapa objekthöjdbilder där höjd färgläggs med olika ekvidansnivå. Genom att prova fram olika inställningar i programmet, där olika lutningshöjd och solvinklar tillämpas kan läsbarheten på kartunderlaget förbättras. / This work describes how the use of the new national elevation model (NNH) from the National Land Survey database may be used in a variety of terrain and the conditions they are identification of specific landscape elements, manually and visually. From the start of 2009, the national land Survey laserscannat whole country, both on land and over water. The mission will be completed in 2015. The goal of laser scanning is to produce a nationwide elevation model with a standard error of better than 0.5 m for a 2 m GRID. Today, all NNH data available as LAS files on Lantmäteriet's database. To perform an evaluation experiment was elected a geographically limited area: Skepplanda, Ale Municipality in Västra Götaland. The devices used were GPS receiver, LAS files, Orth imagery and application programs such as OL laser and ArcGIS. The main aim of the study was to investigate the processing and evaluation of different map material can be performed, and then to assess to what extent the use of Lantmäteriets NNH- data in different types of terrain may be possible. For the investigation, the specific items, such as stone walls and a ditch. Three different maps material was developed by the OL laser program: slope images, intensity images and terrain shading images. Based on the collection of measured points and using vector data could material evaluated visually. Two maps were chosen, which met the criteria for being able to achieve the objectives of the study. Since the map with terrain shading and gradient image provides a clearer profile of the area's characteristic features at ground level, it is possible to identify small land features such as stone walls and ditches. Results will vary from case to case, depending on the substrate maps. A wall at one location in an image could e.g. detect, but not in another image, even though it's a wall there. That’s why definitive conclusions could be not established. The study showed that the laser pulses are difficult to penetrate dense vegetation; however different solar angles and lighting directions nonetheless highlight some small land details during a dense forest. Other factor that may have affected the quality of the laser material is the altitude, laser scans angle and during which period of the year the scan was performed. An assumption was made that the laser scans from lower altitude and smaller opening angle can add value to laser data. With these two factors, higher resolution per square meter of surface is achieved. Another way that can be relevant in an investigation is to use the OL laser toolbox and apply different settings to create objects height pictures where height is colored with different evidence level. By trying out different settings in the program, where different slope height and solar angles applied to the readability of the chart surface is improved.

<p>Flooding is one of the most devastating and frequently occurring natural phenomena in the world. Due to the adverse impacts of floods on the life and property of humans, it is crucial to investigate the best flood modeling approaches for delineation of floodplain areas. Conventionally, different hydrodynamic models are used to identify the floodplain areas. However, the high computational cost, and the dependency of these models on detailed input datasets limit their application for large scale floodplain mapping in data-scarce regions. Recently, a new floodplain mapping method based on a hydrogeomorphic feature, named Height Above Nearest Drainage (<i>HAND</i>), has been proposed as a successful alternative for fast and efficient floodplain mapping at the large scale. The overall goal of this study is to improve the performance of <i>HAND</i>-based method by overcoming its current limitations. The main focus will be on extending the application of the <i>HAND</i>-based method to data-scarce environments. To achieve this goal, regionalization techniques are integrated with the floodplain models at the regional and continental scales. Considering these facts, four research objective are established to (1) Develop a regression model to create 100-year floodplain maps at a regional scale (2) Develop a classification framework for creating 100-year floodplain maps for the Contiguous United States (3) Develop a new version of the <i>HAND</i>-based method for creating probabilistic 100-year floodplain maps, and (4) Propose a general regionalization framework for transferring information from data-rich basins to data-scarce environments. </p> <p> </p> <p>In the first objective, the state of North Carolina is selected as the study area, and a regression model is developed to regionalize the available 100-year Flood Insurance Rate Maps (FIRMs) to the data-scarce regions. The regression model is an exponential equation with three independent variables including the average slope, the average elevation, and the main stream slope of the watershed. The results show that the estimated floodplains are within the expected range of accuracy of C>0.6 and F>0.9 for majority of watersheds located in the mid-altitude regions, but it overpredicts and underpredicts in the flat and mountainous regions respectively. </p> <p> </p> <p>The second objective of this research extends the spatial application of the <i>HAND</i>-based method to the entire United States by proposing a new classification framework. The proposed framework classifies the watersheds into three groups by using seven watershed characteristics related to the topography, climate and land use. The validation results show that the average error of floodplain maps is around 14% which demonstrate the reliability and robustness of the proposed framework for continental floodplain mapping. In addition to the acceptable accuracy, the proposed framework creates the floodplain maps for any watershed within the United States. </p> <p> </p> <p>The <i>HAND</i>-based method is a deterministic modeling approach to floodplain mapping. In the third objective, the probabilistic version of this method is proposed. Using a probabilistic approach to floodplain mapping provides more informative maps. In this study, a flat watershed in the state of Kansas is selected as the case study, and the performance of four probabilistic functions for floodplain mapping is compared. The results show that a linear function with one parameter and a gamma function with two parameters are the best options for this study area. It is also shown that the proposed probabilistic approach can reduce the overpredictions and underpredictions made by the deterministic <i>HAND</i>-based approach. </p> <p> </p> <p>In the fourth objective, a new regionalization framework for transferring the calibrated environmental models to data-scarce regions is proposed. This framework aims to improve the current similarity-based regionalization methods by reducing the subjectivity that exists in the selection of basin descriptors. Using this framework for the probabilistic <i>HAND</i>-based method in the third objective, the floodplains are regionalized for a large set of watersheds in the Central United States. The results show that “vertical component of centroid (or latitude)” is the dominant descriptor of spatial variabilities in the probabilistic floodplain maps. This is an interesting finding which shows how a systematic approach can help to explore the hidden descriptors for regionalization. It is demonstrated that using common methods, such as correlation coefficient calculation, or stepwise regression analysis, will not reveal the critical role of latitude on the spatial variability of floodplains.</p>

A bacia hidrográfica pode ser entendida como um sistema integrado entre todos os seus elementos constituintes, solo, água, vegetação e fauna, onde toda perturbação natural ou antrópica provoca reações na dinâmica natural da bacia, forçando-a a adaptar-se a este novo ambiente. As ações antrópicas estão relacionadas a atividades socioeconômicas, que diante de um planejamento e gestão ambiental inadequados, se dissociam dos aspectos ambientais entrando em conflito com a capacidade de suporte do ecossistema. Diante deste panorama, vários países têm buscado reequilibrar a dinâmica integrada das bacias hidrográficas, incorporando princípios e normas para a gestão e planejamento de recursos hídricos, utilizando a bacia hidrográfica como unidade de gestão e planejamento, além de monitorar os efeitos oriundos do desequilíbrio do sistema. O projeto e planejamento de recursos hídricos, necessita de informações que permitam a avaliação do comportamento hidrológico da bacia. Para isso, é necessário quantificar todas as características morfométricas das bacias, pois, ao se estabelecerem relações e comparações entre tais características e os dados hidrológicos conhecidos, pode-se determinar indiretamente os valores hidrológicos em locais nos quais faltem dados. Comumente, para se iniciar uma análise hidrológica ou ambiental, preliminarmente procede-se a delimitação da bacia hidrográfica, que em até pouco tempo era realizada através de métodos analógicos. Com o advento dos softwares SIG e da representação digital do relevo a partir de técnicas de sensoriamento remoto, tornou-se possível automatizar esta tarefa. A partir disso, buscou-se com este trabalho elaborar uma ferramenta computacional, utilizando a linguagem computacional R, para delimitação e caracterização morfométrica de bacias hidrográficas a partir de Modelos Digitais de Elevação (MDE) globais, de forma automática, que permita fornecer rapidamente os parâmetros morfométricos, proporcionando ao usuário concluir também pelo modelo que mais se adeque a sua necessidade. Buscou-se avaliar a ferramenta elaborada com um estudo de caso comparativo em quatro sub-bacias hidrográficas do estado do Tocantins, com características de relevo distintas, apresentando uma alternativa para validação hidrológica de modelos digitais de elevação a partir de dados altimétricos do SIGEF (Sistema de Gestão Fundiária). Com o estudo de caso, concluiu-se que a ferramenta proposta funciona satisfatoriamente para o que se propõe. Quando comparada com o programa r.basin.py a partir do software Grass GIS, a ferramenta apresentou resultados similares em relação aos valores da maioria dos parâmetros morfométricos; apresentando, contudo, um detalhamento inferior da rede de drenagem, associado a diferenças no algoritmo de preenchimento de dados espúrios, no entanto este problema pode ser contornado ajustando os valores das configurações iniciais do threshold. / The watershed can be understood as an integrated system among all its constituent elements, soil, water, vegetation and fauna, where every natural or anthropic disturbance causes reactions in the natural dynamics of the basin, forcing it to adapt to this new environment. Anthropic actions are related to socio -economic activities, that in the face of inadequate environmental planning and management, dissociate from environmental aspects getting to conflict with the ecosystem's capacity to support. Facing this panorama, several countries have sought to rebalance the integrated dynamics of watersheds, incorporating principles and norms for the management and planning the effects deriving of the unbalance of the system. The project and planning of hydric resources need information that allows the evaluation of the hydrological behavior of the basin. For this, it is necessary to quantify all the morphometric characteristics of the basins, because, when establishing relationships and comparisons among such characteristics and the known hydrological data, one can indirectly determine the hydrological values in places where data are missing. Commonly, to initiate a hydrological or environment al analysis, preliminarily the delimitation of the watershed is proceeded, which until recently it softwares and the digital representation of relief from remote sense techniques, it became possible to automate this task. From this, it sought with this work to elaborate a computational tool, using R computational language, for the delimitation and morphometric characterization of watershads from global Digital Elevation Models (DEM), in automatic way, that permits provide quickly the morphometric parameters, offering to the user also to conclude by the model that best suit it need. The objective of this study is to evaluate the elaborated tool with a study of comparative in four river sub - basins in the state of Tocantins, with different relief characteristics, presentingan alternative for hydrological validation of digital elevation models from the SIGEF (Portuguese abreviation of System of Land Management) altimetric data. With the case study, it was concluded that the proposed tool works satisfactorily for what is propcompared with the r.basin.py program from the Grass GIS software, the tool presented similar results in relation to the values of most of the morphometric parameters; however, a lower drainage network detail, associated with differences in the spurious data filling algorithm, though, this problem can be circumvented by adjusting the initial threshold values configurations.

Made available in DSpace on 2017-07-21T18:15:37Z (GMT). No. of bitstreams: 1 Willian Roza.pdf: 6684537 bytes, checksum: fafdba4f5d553667283cb6cbe3e7f121 (MD5) Previous issue date: 2014-03-27 / The Atlantic Forest displays many functions that ensure the quality of life for many Brazilians and corresponds to one of the 34 hotspots of biodiversity in the world. In the State of Paraná, areas with the largest remnants of Atlantic Forest are located in the eastern portion of the state, which correspond to the Dense Tropical Rainforest (DTR); it presents the following physiognomic units: ecological forest, alluvial, lowland, submontane, montane and upper montane and non-forest represented by pioneer formations: mangroves, salt fields, salt marshes and refuges vegetation. This study seeks to test strategies to spatialize forest and non-forest remnants of ecological physiognomic units of DTR in the southeastern portion of the State of Paraná. In order to spatialize the vegetation, digital classification through the algorithm Support Vector Machines (SVM) was used. Tests were conducted on Landsat 5 TM spectral bands and ancillary altitude data such as the DEM (Digital Elevation Model) and ASTER (Advanced Spaceborne Thermal Emission Reflection Radiometer) with its byproducts, namely slope and altimetric tracks. First tests were undertaken only with the spectral bands, followed by ones with the spectral bands and ancillary altitude data; and finally the last ones with different SVM settings. To calculate the accuracy of the classified images through Kappa Index (KI) and Confusion Matrix (CM), training samples were collected in images from sensors Spot 5 and P6LIS3, and altitude was verified by means of DEM SRTM (Shuttle Radar Topography Mission). After visual analysis, overall results and classes corresponding to the results from classified images, it was found that just with the spectral bands it was not possible to spatialize forest remnants from ecological physiognomic units of DTR. I was concluded that the separation between the classes of DTR (upper montane, montane, submontane and lowland) was not adequate. But, still observed through visual analysis, there was an accuracy improvement in digital classification when using spectral bands plus DEM ASTER. It seems that the most appropriate result from visual analysis and accuracy of the classified images were obtained through classifying spectral bands over altimetric tracks, enabling GIS to measure the values of the areas in the physiognomic units of DTR. It is noteworthy that all classifications were appropriate, however with the auxiliary altitude data, accuracy was increased in visual analysis, IK and MC by the aid of comparing them to altimetric tracks that define the position of the vegetation according to relief classes as addressed by Veloso, Rangel Filho and Lima (1991). This study serves as a resource for identifying, spatializing and mapping the distribution of forest and non-forest remnants in the southeastern portion of the Paraná DTR. This region encompasses several protected areas, located at both floodplains and slopes of the coastal mountain range. / A Mata Atlântica possui diversas funções que garantem a qualidade de vida de inúmeros brasileiros, sendo que corresponde a um dos 34 hotspots de biodiversidade do mundo. No Paraná, as áreas que apresentam os maiores remanescentes de Mata Atlântica estão situadas na porção leste do estado, as quais correspondem à Floresta Ombrófila Densa (FOD), que apresenta as seguintes unidades fisionômicas ecológicas florestais: aluvial, terras baixas, submontana, montana e alto-montana; e as não florestais, representadas pelas formações pioneiras: manguezais, campos salinos, restingas e refúgios vegetacionais. A presente pesquisa tem como objetivo testar estratégias para espacializar os remanescentes florestais e não florestais das unidades fisionômicas ecológicas da porção sudeste da FOD do estado do Paraná. Para espacializar a vegetação, optou-se pela classificação digital mediante o algoritmo Support Vector Machines (SVM), com o qual se realizaram testes com as bandas espectrais Landsat 5 TM e dados auxiliares de altitude, como o MDE (Modelo Digital de Elevação) ASTER (Advanced Spaceborne Thermal Emission Reflection Radiometer) e seus subprodutos, declividade e faixas altimétricas. Realizaram-se os primeiros testes somente com as bandas espectrais, em seguida com as bandas espectrais e dados auxiliares de altitude e, por último, os testes com diferentes configurações de SVM. Para calcular a acuracidade mediante Índice Kappa (IK) e Matriz de Confusão (MC) das imagens classificadas, amostras de treinamento foram coletadas em imagens do sensor Spot 5 e P6LIS3, sendo que se verificou a altitude mediante MDE SRTM (Shuttle Radar Topography Mission). Após as análises visuais, acuracidades globais e de classes correspondentes aos resultados das imagens classificadas, constatou-se que somente com as bandas espectrais não é possível espacializar os remanescentes florestais das unidades fisionômicas ecológicas da FOD, pois a separação entre as classes da FOD (alto-montana, montana, submontana e terras baixas) não foi adequada. Porém, quando da classificação digital com as bandas espectrais mais MDE ASTER, contata-se, mediante a análise visual e acuracidade das imagens classificadas, que o resultado melhorou. Nota-se que o resultado mais adequado a partir das análises visuais e acuracidade das imagens classificadas foi obtido mediante a classificação com as bandas espectrais mais faixas altimétricas, possibilitando, em SIG, mensurar os valores de áreas das unidades fisionômicas ecológicas florestais da FOD. Constata-se que todas as classificações são adequadas, no entanto, com os dados auxiliares de altitude, a acuracidade aumenta tanto pela análise visual quanto pelos IK e MC, mediante a comparação com as faixas altimétricas que definem a posição da vegetação de acordo com as classes do relevo abordadas por Veloso, Rangel Filho e Lima (1991). O presente trabalho serve como subsídio para a identificação, espacialização e mapeamentos dos remanescentes florestais e não florestais da porção sudeste da FOD do Paraná que abrangem várias unidades de conservação, situadas tanto na planície aluvial quanto nas encostas da Serra do Mar.

Cette thèse s’inscrit dans le cadre de l’évolution des Systèmes d’Informations Géographiques (SIG) et de leur capacité à répondre à des problématiques environnementales qui s’expriment de manière globale et transversale. Dans un contexte ou l’information géographique est en plein essor et où la quantité de données disponible ne cesse de croitre, le besoin en terme d’outil d’aide a la décision n’a jamais été aussi fort. Cette étude s’attache tout particulièrement au cadre de la résolution de problématiques liées à l’eau et l’environnement lorsque les données deviennent trop volumineuses pour être traitées par des moyens de calculs séquentiels classiques. Nous proposons une plateforme de calculs répartis sur une grappe d’ordinateurs qui parallélise le calcul de la délimitation des bassins versants des grands fleuves et la détermination des flots d’accumulation. A cette fin nous introduisons une technique de calcul parallèle d’une forêt d’arbres couvrants minimums représentant le parcours de l’eau de chaque point du Modèle Numérique de Terrain (MNT) vers la mer. Cette technique débute par une délimitation des cuvettes (ensemble de points allant vers le même minimum local) contenues dans le MNT. Ensuite une hiérarchie de déversement des cuvettes les unes dans les autres est construite jusqu'à obtenir les bassins versants des fleuves. L’étude se poursuit par la description d’un algorithme parallèle pour le calcul très couteux des flots d’accumulation en chaque point du MNT. Enfin cette thèse présente une version ≪out-of-core≫ de nos algorithmes parallèles afin d’étendre la portée de nos travaux a des grappes de dimensions modestes qui ne peuvent pas charger en mémoire la totalité du MNT traite. / My thesis is part of the development of Geographic Information Systems (GIS) and their ability to respond to environmental challenges that are expressed in a global and transversal way. We consider a context in which geographical information is growing, in addition the amount of data available continues to grow. Therefore, the need a tool for decision support has never been stronger. This study aim to solve problems related to water and the environment when the data become too large for sequential computing. The main objective of the thesis proposes a platform for distributed computing on a cluster of computers that parallelizes the watershed computing of major rivers and the determination of the flow accumulation. The idea is based on the construction of a minimal spanning tree, via a hierarchy of graphs, modeling the water route on the DEM toward the ocean. The technique begins from computing catchment basins that are set of pixels for which a drop of water will end the same local minimum. After that, a hierarchy of basins is computed in order to give the catchment basins of the rivers in the DEM. The study continues with a description of a parallel algorithm for computing the global flow accumulation for automatic drainage network extraction in large digital elevation models. Finally, the thesis presents a version ≪out-of-core≫ of our parallel algorithms to extend the scope of our work in clusters of size small that cannot load into memory the entire treated DEM.

Mapas pedológicos são fontes de informações primordiais para planejamento e manejo de uso do solo, porém apresentam altos custos de produção. A fim de produzir mapas de solos a partir de mapas existentes, o presente trabalho objetiva testar e comparar métodos de classificação em estágio único (regressões logísticas múltiplas multinomiais e Bayes) e em estágios múltiplos (CART, J48 e LMT) com utilização de sistemas de informações geográficas e de variáveis geomorfométricas para produção de mapas pedológicos com legenda original e simplificada. A base de dados foi gerenciada em ambiente ArcGis onde as variáveis e o mapa original foram relacionados através de amostras de treinamento para os algoritmos. O resultado dos algoritmos obtidos no software Weka foram implementados no ArcGis para a confecção dos mapas. Foram gerados matrizes de erros para análise de acurácias dos mapas. As variáveis geomorfométricas de declividade, perfil e plano de curvatura, elevação e índice de umidade topográfica são aquelas que melhor explicam a distribuição espacial das classes de solo. Os métodos de classificação em estágio múltiplo apresentaram sensíveis melhoras nas acurácias globais, porém significativas melhoras nos índices Kappa. A utilização de legenda simplificada aumentou significativamente as acurácias do produtor e do usuário, porém sensível melhora na acurácia global e índice Kappa. / Soil maps are sources of important information for land planning and management, but are expensive to produce. This study proposes testing and comparing single stage classification methods (multiple multinomial logistic regression and Bayes) and multiple stage classification methods (CART, J48 and LMT) using geographic information system and terrain parameters for producing soil maps with both original and simplified legend. In ArcGis environment terrain parameters and original soil map were sampled for training algoritms. The results from statistical software Weka were implemented in ArcGis environment to generate digital soil maps. Error matrices were genereted for analysis accuracies of the maps.The terrain parameters that best explained soil distribution were slope, profile and planar curvature, elevation, and topographic wetness index. The multiple stage classification methods showed small improvements in overall accuracies and large improvements in the Kappa index. Simplification of the original legend significantly increased the producer and user accuracies, however produced small improvements in overall accuracies and Kappa index.