Submitted by Ricardo Cedraz Duque Moliterno (ricardo.moliterno@uefs.br) on 2018-07-11T20:09:12Z No. of bitstreams: 1 DISSERTA??O_IVONICE_SENA_SOUZA_VERS?O_FINAL.pdf: 8972488 bytes, checksum: 6bf18b2a06a00a2f8151129893cfa992 (MD5) / Made available in DSpace on 2018-07-11T20:09:12Z (GMT). No. of bitstreams: 1 DISSERTA??O_IVONICE_SENA_SOUZA_VERS?O_FINAL.pdf: 8972488 bytes, checksum: 6bf18b2a06a00a2f8151129893cfa992 (MD5) Previous issue date: 2018-01-30 / Artisanal fishing is gaining prominence in the world scenario and is responsible for much of the fish production, especially in the tropical regions. The small-scale fishing industry benefits little from geotechnology. The objective of this work was to test the use of geotechnologies in the study of fixed fishing gears in the Coastal Zone of the Southern Bahia and Rec?ncavoBaiano Regions. We used high resolution remote sensing images of Google Earth in the identification, mapping, classification and measurement of fixed fishing gear, specifically the fishing rods and the fishing grounds. The structures of these fishing gear have been identified in the best available images and flagged with the Google Earth markers. In the Southern Lowlands, 152 camboas were identified. In the Rec?ncavoBaiano Region, 589 fixed fishing gears were identified for two different types of fishing gear, the fishing fence and the V-shaped cambo. 163 camboas were located in the area of the Marine Extractive Reserve of Bay of Iguape and 426 fishing grounds in the western region of the Bay of All Saints. From the images of Google Earth, it was possible to identify 16 types (different arrangements of the components, with recurrent geometries) for the Southern Lowlands. For the study area of the Lower South, to facilitate the structuring of the data, the area was subdivided into three subareas. For the subarea two were conducted semi-structured interviews with fishermen and camboas owners for the characterization of fishing and the different types of shrimp. There was also the follow-up of some fisheries (fishing) of shrimp. The structures of some samples of the fixed fishing gear types were measured, considering the following measures: the maximum length of the spy the entrance of the room, hallway or camarinha. The use of Google Earth images has enabled a good result in the identification, mapping, classification and measurement of fixed gears of artisanal fishing. The results show that the recent advances in geotechnology and the free access to high resolution satellite images have great potential for aid in the process of recognition and delimitation of artisanal fisheries, as well as in the study of fixed fishing gear, the use of natural resources and the occupation of marine and coastal areas by fishing activity. / A pesca artesanal vem ganhando destaque no cen?rio mundial e ? respons?vel por boa parte da produ??o do pescado, sobretudo nas regi?es tropicais. O setor da pesca artesanal pouco se beneficia com as geotecnologias. O objetivo do trabalho foi testar o uso das geotecnologias no estudo de artes fixas de pesca na Zona Costeira das Regi?es do Baixo Sul da Bahia e Rec?ncavo Baiano. Foram utilizadas imagens de sensoriamento remoto de alta resolu??o do Google Earth na identifica??o, mapeamento, classifica??o e mensura??o das artes fixas de pesca, especificamente as camboas (currais) de pesca e os cercos de pesqueiros. As estruturas destes apetrechos de pesca foram identificados nas melhores imagens dispon?veis e sinalizados com os marcadores do Google Earth. Na regi?o do Baixo Sul foram identificadas 152 camboas. Na Regi?o do Rec?ncavo Baiano foram identificadas 589 artes fixas de pesca de dois tipos de apetrechos diferentes, o cerco de pesqueiro e a camboa em forma de ?V?. Foram localizados 163 camboas na ?rea da Reserva extrativista Marinha da Ba?a do Iguape e 426 cercos de pesqueiros na regi?o oeste da Ba?a de Todos os Santos. A partir das imagens do Google Earth foi poss?vel identificar 16 tipos (diferentes arranjos das componentes, com geometrias recorrentes) de camboas para a Regi?o do Baixo Sul. Para a ?rea de estudo da regi?o do Baixo Sul, para facilitar ? estrutura??o dos dados, a ?rea de estudo foi subdividida em tr?s sub?reas. Para a sub?rea dois foram realizadas entrevistas semiestruturadas com pescadores e donos de camboas para a caracteriza??o de pesca e dos diferentes tipos de camboas. Tamb?m foi realizada o, acompanhamento de algumas pescarias (despesca) de camboas. Foram medidas as estruturas de algumas amostras dos tipos de arte fixa de pesca, considerando as seguintes medidas: o comprimento m?ximo da espia a entrada da sala, morredor ou camarinha. O uso das imagens do Google Earth possibilitou um bom resultado na identifica??o, mapeamento, classifica??o e mensura??o das artes fixas da pesca artesanal. Os resultados alcan?ados permitem afirmar que os recentes avan?os das geotecnologias e o acesso gratuito a imagens de sat?lite de alta resolu??o apresentam grande potencial de aux?lio no processo de reconhecimento e delimita??o dos territ?rios da pesca artesanal, assim como no estudo das artes fixas de pesca, monitoramento do uso dos recursos naturais e da ocupa??o dos espa?os marinhos e costeiros pela atividade pesqueira.

Les Technologies d'Information et de Communication (TIC) facilitent la collecte et le traitement d'informations numériques, aussi nombreuses que variées, et sont de plus en plus sollicitées dans différents domaines (géographie, informatique, économie, statistiques etc.). La thèse a pour objectif de montrer les apports des TIC dans l'étude d'objets ou phénomènes géographiques dont la distribution est variable dans l'espace. Dans un premier temps, des inégalités territoriales de diffusion d'infrastructures Internet sont observées à différentes échelles, ce qui est communément appelé " la fracture numérique ". Pour remédier à ces inégalités, en particulier dans des espaces peu densément peuplés, la solution proposée est d'envisager une desserte maximale du territoire par la technologie non-filaire (Wi-Fi). Cette solution a été appliquée pour une commune drômoise (La Roche-sur-le-Buis). Les données (bâti) sont de type images et nécessitent un dispositif de repérage et de collecte approprié qui fait l'objet du second temps de la recherche. L'objectif a été de trouver une méthode relativement simple et accessible d'extraction de données du bâti sous un logiciel de géo-localisation en accès libre (type Google Earth). Ce logiciel permet d'accéder à des bases de données d'images raster grand public couvrant le monde entier. A une échelle fine, les méthodes habituelles de télédétection n'étant pas assez satisfaisantes, une autre méthode basée sur une stratégie de choix de la cible, de l'image (bonne résolution spatiale) et de la méthode de détection de l'objet spatial (bâti) à l'aide d'un Système d'Information Géographique (SIG) est proposée en mode vecteur. Elle est testée en France et en Syrie à différentes échelles. Les résultats montrent que la qualité de cette approche semi-automatique, voire automatique, est liée à certains paramètres dans les trois phases de la méthode : phase de choix des données, phase de traitement et phase d'analyse

Renewable and alternative energy technologies have become increasingly popular in Ontario over the last few years. Part of this increase has been from the Feed-In-Tariff incentive that pays Ontarians an amount per kWh generated by some of these technologies onto the central electricity grid. Between residential, commercial and agricultural settings, agriculture operations and locations offer an abundance of resources that make renewable energy systems attractive. The big question being asked by Ontario farmers is what renewable or alternative energy technology is best or most economical for their particular location and operation? The solution to that question is the Complimentary Energy Decision Support Tool (CEDST). This application combines Solar Photovoltaic, Wind Turbine, Geothermal, Anaerobic Digester, Solar Thermal and Energy Conservation calculators into one tool that compares the feasibility of each technology. This thesis specifically presents the development of the CEDST platform which is used as the delivery method for each of the individual calculators, the creation of the Solar Photovoltaic calculator and methodology behind determining if a solar photovoltaic system is a feasible solution, as well as, the integration of all the other individual calculators developed by the rest of the CESDT team into the CEDST platform. / Ontario Ministry of Agriculture Food and Rural Affairs, Poultry Industry Council, Egg Farmers of Canada, and the University of Guelph

This thesis describes an observation function for a dynamic data driven application system designed to produce short range forecasts of the behavior of a wildland fire. The thesis presents an overview of the atmosphere-fire model, which models the complex interactions between the fire and the surrounding weather and the data assimilation module which is responsible for assimilating sensor information into the model. Observation plays an important role in data assimilation as it is used to estimate the model variables at the sensor locations. Also described is the implementation of a portable and user friendly visualization tool which displays the locations of wildfires in the Google Earth virtual globe.

Carbonate preservation in the oceans occurs at a depth called the carbonate compensation depth (CCD). The CCD is where the input rate of carbonate from the surface of the ocean is balanced by the dissolution rate. Factors controlling the CCD are the CO2 in the atmosphere, weathering, and productivity in the surface water, the depth of the lysocline and deep water currents (and their ocean circulation). Two previous studies have investigated the variation of the CCD through geologic time, one in the equatorial Pacific (Pälike et al., 2012) and the other compiled results from the Pacific, Atlantic and Indian Oceans (Van Andel, 1975). The project consisted of compiling a database of sediment lithologies for many more sites in the Atlantic since the compilation by Van Andel, 1975, and together with a subsidence model of the ocean crust the systematic variations of CCD could be investigated. The results show that the CCD varies both spatially and temporally in accordance with previous studies. The reconstruction of the CCD needs further analysis, and possibly data from the oldest drilling program, the Deep Sea Drilling Project (DSDP). One result that is very important is that this study includes a total of 91 sites in the Atlantic Ocean, far more than in any of the other two studies. Future work can build upon the already started database of sediment lithologies.

This report covers an investigation of the methods and algorithms required to plan and perform semi-autonomous photo missions on Apple iPad devices using data exported from Google Earth. Flight time was to be minimized, taking wind velocity and aircraft performance into account. Google Earth was used both to define what photos to take, and to define the allowable mission area for the aircraft. A benchmark mission was created containing 30 photo operations in a 250 by 500 m area containing several no-fly-areas. The report demonstrates that photos taken in Google Earth can be reproduced in reality with good visual resemblance. High quality paths between all possible photo operation pairs in the benchmark mission could be found in seconds using the Theta* algorithm in a 3D grid representation with six-edge connectivity (Up, Down, North, South, East, West). Smoothing the path in a post-processing step was shown to further increase the quality of the path at a very low computational cost. An optimal route between the operations in the benchmark mission, using the paths found by Theta*, could be found in less than half a minute using a Branch-and-Bound algorithm. It was however also found that prematurely terminating the algorithm after five seconds yielded a route that was close enough to optimal not to warrant running the algorithm to completion.

To ensure the highest possible temporal resolution of SAR data, it is necessary to use all the available acquisition orbits and paths of a selected area. This can be a challenge in a mountainous terrain, where the side-looking geometry of space-borne SAR satellites in combination with different slope and aspect angles of terrain can strongly affect the backscatter intensity. These errors/noises caused by terrain need to be eliminated. Although there have been methods described in the literature that address this problem, none of these methods is prepared for operable and easily accessible time series analysis in the mountainous areas. This study deals with a land cover-specific local incidence angle (LIA) correction method for time-series analysis of forests in mountainous areas. The methodology is based on the use of a linear relationship between backscatter and LIA, which is calculated for each image separately. Using the combination of CORINE and Hansen Global Forest databases, a wide range of different LIAs for a specific forest type can be generated for each individual image. The algorithm is prepared and tested in cloud-based platform Google Earth Engine (GEE) using Sentinel-1 open access data, SRTM digital elevation model, and CORINE and Hansen Global Forest databases. The method was tested...

No description available.

Levee breaching is the most frequent and dangerous form of levee failure. A levee breach occurs when floodwater breaks through part of the levee creating an opening for water to flood the protected area. According to National Committee on Levee Safety (NCLS), a reasonable upper limit for damage resulting from levee breaching is around $10 billion per year during 1998 and 2007. This number excludes hurricanes Katrina and Rita in 2005 which resulted in economic damages estimated to be more than $200 billion dollar and a loss of more than 1800 lives. In response to these catastrophic failures, the U.S. Army Corps of Engineers (USACE) started to develop the National Levee Database (NLD) on May 2006. The NLD has a critical role in evaluating the safety of the national levee system. It contains information regarding the attributes of the national levee system. The Levee Analyst Data Model was developed by Dr Norm Jones, Jeff Handy and Thomas Griffiths to supplement the NLD. Levee Analyst is a data model and suite of tools for managing levee information in ArcGIS and exporting the information to Google Earth for enhanced visualization. The current Levee Analyst has a concise and expandable structure for managing, archiving and analyzing large amounts of levee seepage and slope stability data. (Thomas 2009). The new set of tools developed in this research extends the ability of the Levee Analyst Data Model to analyze and mange levee breach simulations and store them in the NLD geodatabase. The capabilities and compatibilities with the NLD of the new geoprocessing tools are demonstrated in the case study. The feasibility of using GSSHA model to simulate flooding is also demonstrated in this research.

Today, people are used to having technology as a constant aid. This also sets expectations that information should always be available. This, together with ongoing climate change that has led to more natural disasters, has laid the foundation for the need to change the methodology for how geographical data is collected, compiled and visualized when used for crisis communication. This study explores how authorities, at present, communicate with the public during a crisis and how this can be done in an easier and more comprehensible way, with the help of Geographical Information Systems (GIS). The goal is to present a new way of collecting, compiling and visualizing geographical data in order to communicate, as an authority, with the public during a crisis. This has been done using a case study with focus on wildfires. Therefore, most of the work consisted of the creation of a prototype, CMAP – Crisis Management and Planning, that visualizes fire-related data. The basic work of the prototype consisted of determining what data that exists and is necessary for the information to be complete and easily understood together with how the data is best implemented. The existing data was retrieved online or via a scheduled API request. Eventrelated data, which is often created in connection with the event itself, was given a common structure and an automatic implementation into the prototype using Google Fusion Tables. In the prototype, data was visualized in two interactive map-based sections. These sections focused on providing the user with the information that might be needed if one fears that they are within an affected location or providing the user with general preparatory information in different counties. Finally, a non-map-based section was created that allowed the public to help authorities and each other via crowdsource data. This was collected in a digital form which was then directly visualized in the prototype’s map-based sections. The result of this showed, among other things, that automatic data flows are a good alternative for avoiding manual data handling and thus enabling a more frequent update of the data. Furthermore, it also showed the importance of having a common structure for which data to be included and collected in order to create a communication platform. Finally, by visualizing of dynamic polygon data in an interactive environment a development in crisis communication that can benefit the public’s understanding of the situation is achieved. This thesis is limited to the functionality and layout provided by the Google platform, including Google Earth Engine, Google Forms, Google Fusion Tables etc / I dagens samhälle är människan van vid teknik som ett ständigt hjälpmedel. Detta sätter också förväntningar på att information alltid ska vara tillgänglig och uppdaterad. Detta tillsammans med pågående klimatförändringar som lett till fler och svårare naturkatastrofer har lagt grunden till att det finns ett behov av att förändra hur man samlar in, sammanställer och visualiserar geografiska data som används för kommunikation i en krissituation. Denna studie utforskar hur myndigheter, i dagsläget, kommunicerar med allmänheten vid en krissituation och hur detta kan göras på ett enklare och mer givande sätt med hjälp av GIS. Målet är att visa ett nytt sätt att samla in, sammanställa och visualisera geografiska data för att, som myndighet, kommunicera med allmänheten under en kris. Detta har gjorts som i en fallstudie med fokus på skogs- och gräsbränder. Merparten av arbetet bestod därför av framtagande av en prototyp, CMAP – Crisis Management and Planning som visualiserar brandrelaterade data. Grundarbetet till prototypen bestod av att fastställa vilken data som finns och är nödvändig för att informationen skulle bli lättförstådd och komplett samt hur denna bäst implementeras. Den existerande data som implementerades hämtades online eller via ett schemalagt anrop av APIer. Händelserelaterade data skapas ofta i samband med själva händelsen och därför skapades en gemensam struktur och direktimplementation till prototypen för denna data med hjälp av Google Fusion Tables. I prototypen visualiserades data i två interaktiva kartbaserade sektioner. Dessa sektioner fokuserade kring att förse användaren med den information som kan behövas om man befarar att man befinner sig på en drabbad plats eller att förse användaren med allmän förberedande information inom olika län. Slutligen skapades även en icke kartbaserad sektion som möjliggjorde att allmänheten kan hjälpa myndigheter och varandra genom ”crowdsource” data. Denna samlades in i ett digitalt formulär som sedan direkt visualiserades i prototypens kartbaserade delar. Resultatet av detta visade bland annat att automatiska dataflöden är ett bra alternativ för att slippa manuell hantering av data och därmed möjliggöra en mer frekvent uppdatering. Vidare visade det även på vikten av att ha en gemensam struktur för vilken data som ska inkluderas och samlas in för att skapa en kommunikationsplattform. Slutligen är visualisering av dynamiska polygondata i en interaktiv miljö en utveckling av kriskommunikation som kan gynna förståelsen för situationen hos allmänheten. Studien är begränsad till att skapa en plattform baserad på den inbyggda funktionaliteten och designen som erbjuds i Googles plattform, detta inkluderat Google Earth Engine, Google Formulär, Google Fusion Tables etc.