Дисертації з теми "Geospatial information systems and geospatial data modelling"
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Sharad, Chakravarthy Namindi. "Public Commons for Geospatial Data: A Conceptual Model." Fogler Library, University of Maine, 2003. http://www.library.umaine.edu/theses/pdf/SharadCN2003.pdf.
Повний текст джерелаJoshi, Kripa. "Combining Geospatial and Temporal Ontologies." Fogler Library, University of Maine, 2007. http://www.library.umaine.edu/theses/pdf/JoshiK2007.pdf.
Повний текст джерелаYang, Zhao. "Spatial Data Mining Analytical Environment for Large Scale Geospatial Data." ScholarWorks@UNO, 2016. http://scholarworks.uno.edu/td/2284.
Повний текст джерелаNgo, Duc Khanh. "Relief Planning Management Systems - Investigation of the Geospatial Components." Thesis, KTH, Geodesi och geoinformatik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-118373.
Повний текст джерелаSahr, Kevin Michael. "Discrete global grid systems : a new class of geospatial data structures /." view abstract or download file of text, 2005. http://wwwlib.umi.com/cr/uoregon/fullcit?p3190547.
Повний текст джерелаTypescript. Includes vita and abstract. Includes bibliographical references (leaves 109-115). Also available for download via the World Wide Web; free to University of Oregon users.
Wylie, Austin. "Geospatial Data Modeling to Support Energy Pipeline Integrity Management." DigitalCommons@CalPoly, 2015. https://digitalcommons.calpoly.edu/theses/1447.
Повний текст джерелаFarrugia, James A. "Semantic Interoperability of Geospatial Ontologies: A Model-theoretic Analysis." Fogler Library, University of Maine, 2007. http://www.library.umaine.edu/theses/pdf/FarrugiaJA2007.pdf.
Повний текст джерелаComer, Bryan. "Sustainable intermodal freight transportation : applying the geospatial intermodal freight transport model /." Online version of thesis, 2009. http://hdl.handle.net/1850/10887.
Повний текст джерелаGordon, Josef. "Comparative Geospatial Analysis of Twitter Sentiment Data during the 2008 and 2012 U.S. Presidential Elections." Thesis, University of Oregon, 2013. http://hdl.handle.net/1794/13424.
Повний текст джерелаToups, Matthew A. "A study of three paradigms for storing geospatial data: distributed-cloud model, relational database, and indexed flat file." ScholarWorks@UNO, 2016. http://scholarworks.uno.edu/td/2196.
Повний текст джерелаLongo, João Sávio Ceregatti 1987. "Management of integrity constraints for multi-scale geospatial data = Gerenciamento de restrições de integridade para dados geoespaciais multi-escala." [s.n.], 2013. http://repositorio.unicamp.br/jspui/handle/REPOSIP/275662.
Повний текст джерелаDissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Computação
Made available in DSpace on 2018-08-22T06:24:16Z (GMT). No. of bitstreams: 1 Longo_JoaoSavioCeregatti_M.pdf: 3005926 bytes, checksum: 986140c2ac8b7fc686b351fb6ce666fb (MD5) Previous issue date: 2013
Resumo: Trabalhar em questões relativas a dados geoespaciais presentes em múltiplas escalas apresenta inúmeros desafios que têm sido atacados pelos pesquisadores da área de GIS (Sistemas de Informação Geográfica). De fato, um dado problema do mundo real deve frequentemente ser estudado em escalas distintas para ser resolvido. Outro fator a ser considerado é a possibilidade de manter o histórico de mudanças em cada escala. Além disso, uma das principais metas de ambientes multi-escala _e garantir a manipulação de informações sem qualquer contradição entre suas diferentes representações. A noção de escala extrapola inclusive a questão espacial, pois se aplica também, por exemplo, _a escala temporal. Estes problemas serão analisados nesta dissertação, resultando nas seguintes contribuições: (a) proposta do modelo DBV (Database Version) multi-escala para gerenciar de forma transparente dados de múltiplas escalas sob a perspectiva de bancos de dados; (b) especificação de restrições de integridade multi-escala; (c) implementação de uma plataforma que suporte o modelo e as restrições, testados com dados reais multi-escala
Abstract: Work on multi-scale issues concerning geospatial data presents countless challenges that have been long attacked by GIScience (Geographic Information Science) researchers. Indeed, a given real world problem must often be studied at distinct scales in order to be solved. Another factor to be considered is the possibility of maintaining the history of changes at each scale. Moreover, one of the main goals of multi-scale environments is to guarantee the manipulation of information without any contradiction among the different representations. The concept of scale goes beyond issues of space, since it also applies, for instance, to time. These problems will be analyzed in this thesis, resulting in the following contributions: (a) the proposal of the DBV (Database Version) multi-scale model to handle data at multiple scales from a database perspective; (b) the specification of multi-scale integrity constraints; (c) the implementation of a platform to support model and constraints, tested with real multi-scale data
Mestrado
Ciência da Computação
Mestre em Ciência da Computação
Naude, Stephanus David. "Application of spatial resource data to assist in farmland valuation." Thesis, Stellenbosch : Stellenbosch University, 2011. http://hdl.handle.net/10019.1/18118.
Повний текст джерелаENGLISH ABSTRACT: In South Africa more than 80 percent of the total land area is used for agriculture and subsistence livelihoods. A land transaction is generally not a recurring action for most buyers and sellers, their experience and knowledge are limited, for this reason the services of property agents and valuers are sometimes used, just to get more information available. The condition of insufficient information and the inability to observe differences in land productivity gives rise to the undervaluation of good land and overvaluation of poor land. The value of a property plays an important role in the acquisition of a bond, in this context farm valuations are essential and therefore commercial banks make more use of specialist businesses that have professional valuers available. The advent of the Internet made access to comprehensive information sources easier for property agents and valuers whose critical time and resources can now be effectively managed through Geographic Information System (GIS) integrated workflow processes. This study aims to develop the blueprint for a farm valuation support system (FVSS) that assists valuers in their application of the comparable sales method by enabling them to do the following: (1) Rapid identification of the location of the subject property and transaction properties on an electronic map. (2) Comparison of the subject property with the transaction properties in terms of value contributing attributes that can be expressed in a spatial format, mainly a) location and b) land resource quality factors not considered in existing valuation systems that primarily focus on residential property. Interpretation of soil characteristics to determine the suitability of a soil for annual or perennial crops requires specialized knowledge of soil scientists, knowledge not normally found among property valuers or estate agents. For this reason an algorithm, that generates an index value, was developed to allow easy comparison of the land of a subject property and that of transaction properties. Whether this index value reflects the soil suitability of different areas sufficiently accurate was confirmed by soil suitability data of the Breede and Berg River areas, which were obtained by soil scientists by means of a reconnaissance soil survey. This index value distinguishes the proposed FVSS from other existing property valuation systems and can therefore be used by valuers as a first approximation of a property’s soil suitability, before doing further field work. A nationwide survey was done among valuers and estate agents that provided information for the design of the proposed FVSS and proved that the need for such a system does exist and that it will be used by valuers.
AFRIKAANSE OPSOMMING: Meer as 80 persent van die totale grondoppervlakte in Suid-Afrika word gebruik vir landbou en bestaansboerdery. 'n Grondtransaksie is oor die algemeen nie 'n herhalende aksie vir die meeste kopers en verkopers nie, hul ervaring en kennis is beperk, om hierdie rede word die dienste van eiendomsagente en waardeerders soms gebruik om meer inligting beskikbaar te kry. Die toestand van onvoldoende inligting en die onvermoë om verskille in grondproduktiwiteit te identifiseer gee aanleiding tot die onderwaardering van goeie grond en oorwaardering van swak grond. Die waarde van 'n eiendom speel 'n belangrike rol in die verkryging van 'n verband. In hierdie konteks is plaaswaardasies noodsaaklik en daarom maak kommersiële banke meer gebruik van gespesialiseerde maatskappye wat oor professionele waardeerders beskik. Die koms van die Internet het toegang tot omvattende inligtingsbronne makliker gemaak vir eiendomsagente en waardeerders wie se kritiese tyd en hulpbronne nou effektief bestuur kan word deur middel van Geografiese Inligtingstelsel (GIS) geïntegreerde werksprosesse. Hierdie studie poog om die bloudruk vir 'n plaaswaardasie ondersteuningstelsel te ontwikkel wat waardeerders sal help in hul toepassing van die vergelykbare verkope metode deur hul in staat te stel om die volgende te doen: (1) Vinnige identifisering van die ligging van die betrokke onderwerp eiendom en transaksie eiendomme op 'n elektroniese kaart. (2) Vergelyking van die onderwerp eiendom met transaksie eiendomme in terme van waardedraende eienskappe wat in 'n ruimtelike formaat uitgedruk word, hoofsaaklik a) ligging en b) bodem gehaltefaktore wat nie oorweeg word in bestaande residensieel georiënteerde waardasiestelsels nie. Interpretasie van grondeienskappe om die geskiktheid van grond vir eenjarige of meerjarige gewasse te bepaal vereis gespesialiseerde kennis van grondkundiges, kennis wat nie normaalweg gevind word onder eiendomswaardeerders of eiendomsagente nie. Om hierdie rede is 'n algoritme ontwikkel sodat die grond van ‘n onderwerp eiendom d.m.v. ‘n indekswaarde met transaksie eiendomme vergelyk kan word. Die indekswaarde is akkuraat genoeg bevestig toe dit vergelyk is met grond geskiktheidsdata wat deur grondkundiges in die Breede- en Bergrivier gebiede ingesamel is. Hierdie indekswaarde onderskei die voorgestelde plaaswaardasie ondersteuningstelsel van ander bestaande eiendom waardasiestelsels en kan dus deur waardeerders gebruik word as 'n eerste bepaling van 'n eiendom se grond geskiktheid, voordat verdere veldwerk gedoen word. 'n Landwye opname is gedoen onder waardeerders en eiendomsagente wat inligting voorsien het vir die ontwerp van die voorgestelde plaaswaardasie ondersteuningstelsel, asook bewys gelewer het dat daar ‘n behoefte aan so 'n stelsel bestaan en dat dit deur waardeerders gebruik sal word.
Millin, Gail. "Evaluation of geospatial data to characterise upland water vole Arvicola terrestris habitat at Grains in the Water and Swains Greave in the Peak District, Derbyshire." Thesis, University of Manchester, 2003. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:154772.
Повний текст джерелаJackson, Etta Delores. "The Role of Geospatial Information and Effective Partnerships in the Implementation of the International Agenda for Sustainable Development." Antioch University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=antioch1594291234482502.
Повний текст джерелаHorita, Flavio Eduardo Aoki. "An approach for improving decision-making with heterogeneous geospatial big data: an application using spatial decision support systems and volunteered geographic information to disaster management." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-17042017-111209/.
Повний текст джерелаContexto: Uma tomada de decisão precisa exige informações mais precisas e atualizadas para estabelecer a realidade da situação geral. Novas fontes de dados (e.g, tecnologias vestíveis) tem aumentado a quantidade de dados úteis disponíveis, que agora é chamado de big data. Isso tem grande potencial para transformar todo o processo de negócio e melhorar a precisão na tomada de decisão. Neste contexto, a gestão de desastres representa um interessante cenário que depende de big data para aprimorar a tomada de decisão. Isso porque, ela tem que lidar com dados fornecidos não apenas por fontes tradicionais (e.g., sensores estáticos), mas também por fontes emergentes por exemplo, informações compartilhadas por voluntários locais, i.e., as informações geográficas de voluntários (VGI). Quando combinadas, estas fontes de dados podem ser consideradas grandes em volume, com diferentes velocidades e uma variedade de formatos. Além disso, uma análise com relação à sua veracidade é necessaria uma vez que estas fontes de dados são desconectadas e propensas à erros. Estes são os 4Vs que caracterizam big data. Problema: No entanto, embora todos estes dados abrem novas oportunidades, seu grande volume em conjunto com uma integração inapropriada e uma visualização inadequada, podem tornar as informações ignoradas por tomadores de decisão. Isso ocorre, pois, a integração dos dados disponíveis torna-se complicada devido a heterogeneidade intrínseca nas suas características (e.g., dados em formatos diferentes). Quando integradas, estas informações frequentemente também não chegam aos tomadores de decisão em uma condição apropriada (por exemplo, no formato de visualização adequado). Além disso, não existe uma clara compreensão sobre as necessidades dos tomadores de decisão ou sobre como os dados disponíveis podem ser usados para atender essas necessidades. Objetivo: Dessa forma, esta tese de doutorado apresenta uma abordagem para melhorar a tomada de decisões com grande volume de dados espaciais heterogêneos baseada em sistemas de suporte à decisão espacial e informações geográficas de voluntários na gestão de desastres. Métodos: Mapeamentos sistemáticos foram conduzidos para identificar lacunas de pesquisa no uso de dados voluntários e sistemas de suporte à decisão na gestão de desastres. Com base nestes estudos, dois projetos de design science foram conduzidos. O primeiro deles buscou definir elementos essências para entender a integração de dados heterogêneos, enquanto o segundo projeto buscou fornecer um melhor entendimento das necessidades dos tomadores de decisão. Também foi conduzido um projeto de pesquisa-ação interinstitucional para definir princípios de projeto que deveriam ser observados para um sistema de suporte à decisão espacial ser efetivo no apoio a tomada de decisão com grande volume de dados espaciais heterogêneos. Uma série de estudos de caso empíricos foram conduzidos para avaliar os resultados destes projetos. Resultados: A abordagem geral então é composta pelos três resultados significantes que foram derivados destes projetos. Em primeiro lugar, uma arquitetura conceitual que especifica a integração de fontes de dados heterogêneas. O segundo elemento é uma estrutura baseada em modelo que descreve a conexão entre a tomada de decisão com as fontes de dados mais adequadas. Com base nesta estrutura, o terceiro elemento consiste em um conjunto de princípios de design que guiam o desenvolvimento de um sistema de suporte à decisão espacial para tomada de decisão com grande volume de dados espaciais heterogêneos. Conclusão: Esta tese de doutorado realizou importantes contribuições para a prática e pesquisa. Em resumo, ela define formas para integrar fontes de dados heterogêneos, fornece uma melhor compreensão sobre as necessidades dos tomadores de decisão e ajuda no desenvolvimento de sistemas de suporte à decisão espacial para tomada de decisão com grande volume de dados espaciais heterogêneos.
Engström, Olof, and Tigerström Gabriel Lördal. "Improving usability of land warfare simulator: pathfinding and adaptive speed based on geographic data." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-211551.
Повний текст джерелаSANDIS II är ett simuleringsoch analysverktyg utvecklat av Finska Försvarsmaktens Forskningsanstalt. Svenska Totalförsvarets forskningsinstitut har utvärderat SANDIS II och funnit ett potentiellt användningsområde för verktyget som stöd vid krigsspel, inom utbildning vid Försvarshögskolan. Verktyget anses dock vara för svårhanterligt för att uppfylla detta syfte. I denna rapport föreslås metoder för att beräkna de snabbaste förflyttningsvägarna i terräng och att automatiskt justera enheters hastighet i simulatorn, baserat på geografisk data. Vi konstruerar ett kostnadsraster av olika typer av terrängdata, där varje ruta i rastret tilldelas ett värde som representerar framkomlighet. Med kostnadsraster som grund skapar vi sedan modeller för att kunna justera enheters hastigheter och beräkna framryckningsrutter med så låg kostnad som möjligt. Vi implementerar modellerna i en separat Python-modul och beskriver modulens interna metoder, gränssnitt och hur det kan användas av SANDIS II.
Vladimir, Bulatović. "Model distribuiranja geopodataka u komunalnim sistemima." Phd thesis, Univerzitet u Novom Sadu, Fakultet tehničkih nauka u Novom Sadu, 2011. http://dx.doi.org/10.2298/NS20110514BULATOVIC.
Повний текст джерелаThe short review of the Open Geospatial Consortium (OGC) web services have been given in this work from the perspective of server and client applications. The problems of the exchange of spatial data in the complex systems as municipal service have been analysed. Based on analysis of data exchange, the model has been proposed to improve communication and progress of the whole system by implementing OGC web services. Described model of spatial data distribution can be applied to all complex systems, but also within smaller systems such as companies which consist of more sectors or subsystems.
Dickinson, Matthew G. Musser Dale Roy. "Architecting the spatial enablement of a film location database for enhanced geographic analysis and query." Diss., Columbia, Mo. : University of Missouri-Columbia, 2009. http://hdl.handle.net/10355/6729.
Повний текст джерелаAbrahamsson, Viktor. "Visualisering av geospatialdata från firms i heatmaps : En jämförelse av visualiseringstekniker med D3.js och Heatmap.js baserat på utritningstid." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-18776.
Повний текст джерелаBrazenor, Clare. "The spatial dimensions of Native Title." Connect to thesis, 2000. http://eprints.unimelb.edu.au/archive/00001050.
Повний текст джерелаSubbiah, Ganesh. "DAGIS : automatic discovery of annotated Geospatial Information Services Framework for geospatial Semantic Web /." 2007. http://proquest.umi.com/pqdweb?did=1453232631&sid=1&Fmt=2&clientId=10361&RQT=309&VName=PQD.
Повний текст джерела(5930729), Ke Liu. "Pattern Exploration from Citizen Geospatial Data." Thesis, 2019.
Знайти повний текст джерела"The utility of geospatial data and information used in geographic information systems (GIS): An exploratory study into the factors that contribute to geospatial information utility." THE GEORGE WASHINGTON UNIVERSITY, 2008. http://pqdtopen.proquest.com/#viewpdf?dispub=3291997.
Повний текст джерелаZhang, Jingyuan. "Web geospatial visualisation for clustering analysis of epidemiological data." Thesis, 2014. https://vuir.vu.edu.au/25917/.
Повний текст джерелаLourenço, Fernando Correia. "Exploratory geospatial data analysis using self-organizing maps." Master's thesis, 2005. http://hdl.handle.net/10362/3647.
Повний текст джерелаThe rapidly increasing volume of digital geographic data is overwhelming for conventional analysis techniques and methods. Therefore new approaches are needed to transform data into information, and ultimately, into knowledge. Exploratory data analysis is a foundation stone in this process. It is concerned with the formation of a simplified overview of data sets. Clustering and projection are among the examples of useful methods to achieve this task. The Self-Organizing Map (SOM) algorithm performs both, in a non-linear mapping from a high-dimensional data space to a low-dimensional space aiming to preserve the topological relations in the data. The aim of this thesis is to demonstrate the effectiveness of SOM application in visual exploration of physical geography data to support the delineation of Portuguese mainland regions. The main justifications for the application of SOM in this issue are its features of stressing local factors and topological ordering. For experimental assessment, the public domain thematic maps from Instituto do Ambiente are used. Several authors’ maps of Portuguese regions are used for evaluation of empirical results.(...)
Lockwood, Anthony J. M. "Delineation of the geospatial dimensions of the residential real estate submarket structure." 2007. http://digital.library.adelaide.edu.au/dspace/handle/2440/48489.
Повний текст джерела"December 2007" Bibliography: leaves 247-253. Also available in print form.
Lockwood, Anthony J. M. "Delineation of the geospatial dimensions of the residential real estate submarket structure." 2008. http://hdl.handle.net/2440/48489.
Повний текст джерелаhttp://proxy.library.adelaide.edu.au/login?url= http://library.adelaide.edu.au/cgi-bin/Pwebrecon.cgi?BBID=1330874
Thesis (Ph.D.) -- University of Adelaide, School of Social Sciences, 2008
Atumane, Ali Ahamed Puna. "Geospatial Data for Sustainable Development in Mozambique: Challenges on Spatial Data Infrastructure Development & Ecosystem Service Integration in Decision Making." Doctoral thesis, 2021. http://hdl.handle.net/10362/130161.
Повний текст джерелаThe Agenda 2030 challenges the countries to use and produce new spatial data to support the path to Sustainable Development (SD). This requires development and adoption of Spatial Data Infrastructure (SDI), and the production of new relevant spatial data to support implementation, monitoring and reporting the progress on the targets on Sustainable Development Goals (SDGs). The importance of access to spatial data for development and resource management is widely acknowledged worldwide. Unrestricted, reliable and efficient access to accurate, timely, and upto- date spatial data may be achieved through a Spatial Data Infrastructure (SDI). Thus, most developed countries implemented and continue to develop their SDI. The Ecosystem Service (ES) is also crucially for SD and the concept needs to be expressed and communicated effectively to be successfully integrated into decision making. This study assessed the challenges and opportunities on SDI development and analyzed the documents relevant to LUP process and implementation. On the SDI, we identified and characterized through a survey the government institutions producing, sharing, and using spatial data in the country to estimate their potential contribution to the development of the Mozambican SDI. On the integration of ES into LUP, we conducted a review of relevant documents to Mozambique’s spatial planning by performing a content analysis based on ES categories. Based on the possible contribution of the institutions producing and using spatial data, we proposed an SDI for Mozambique based on four pillars: i) organizational framework; ii) legal framework; iii) technical framework; and iv) accessibility. The periodical revision of tools and participatory approaches in LUP opens opportunities for integrating ES into LUP processes. This integration could be achieved by establishing a SEA legal framework based on LUP and Environment legal frameworks assisted by a set of common planning tools that consider ES as an additional indicator applied to spatial planning in Mozambique.
Williams, Chaplin. "Crowd-sourced cadastral geospatial information : defining a workflow from unmanned aerial system (UAS) data to 3D building volumes using opensource applications." Master's thesis, 2018. http://hdl.handle.net/10362/33713.
Повний текст джерелаThe surveying field has been impacted over many decades by new inventions and improvements in technology. This has ensured that the profession remains one of high precision with the employment of sophisticated technologies by Cadastral Experts. The use of Unmanned Aerial Systems (UAS) within surveying is not new. However, the standards, technologies, tools and licenses developed by the open source community of developers, have opened new possibilities of utilising UAS within surveying. UASs are being constantly improved to obtain high quality imagery, so efforts were made to find novel ways to add value to the data. This thesis defines a workflow aimed at deriving Cadastral Geospatial Information (Cadastral GI), as three-dimensional (3D) building volumes from the original inputted UAS imagery. To achieve this, an investigation was done to see how crowd-sourced UAS data can be uploaded to open online repositories, downloaded by Cadastral Experts, and then manipulated using open source applications. The Cadastral Experts had to utilise multiple applications and manipulate the data through many data formats, to obtain the (3D) building volumes as final results. Such a product can potentially improve the management of cadastral data by Cadastral Experts, City Managers and National Mapping Agencies. Additionally, an ideal suite of tools is presented, that can be used store, manipulate and share the 3D building volume data while facilitating the contribution of attribute data from the crowd.
(6832553), Eslam A. Almorshdy. "EVALUATING SPATIAL QUERIES OVER DECLUSTERED SPATIAL DATA." Thesis, 2019.
Знайти повний текст джерелаDue to the large volumes of spatial data, data is stored on clusters of machines that inter-communicate to achieve a task. In such distributed environment; communicating intermediate results among computing nodes dominates execution time. Communication overhead is even more dominant if processing is in memory. Moreover, the way spatial data is partitioned affects overall processing cost. Various partitioning strategies influence the size of the intermediate results. Spatial data poses the following additional challenges: 1)Storage load balancing because of the skewed distribution of spatial data over the underlying space, 2)Query load imbalance due to skewed query workload and query hotspots over both time and space, and 3)Lack of effective utilization of the computing resources. We introduce a new kNN query evaluation technique, termed BCDB, for evaluating nearest-neighbor queries (NN-queries, for short). In contrast to clustered partitioning of spatial data, BCDB explores the use of declustered partitioning of data to address data and query skew. BCDB uses summaries of the underling data and a coarse-grained index to localize processing of the NN-query on each local node as much as possible. The coarse-grained index is locally traversed using a new uncertain version of classical distance browsing resulting in minimal O( √k) elements to be communicated across all processing nodes.
Gegana, Mpho. "Comparison of object and pixel-based classifications for land-use and land cover mapping in the mountainous Mokhotlong District of Lesotho using high spatial resolution imagery." Thesis, 2016. http://hdl.handle.net/10539/21645.
Повний текст джерелаThe thematic classification of land use and land cover (LULC) from remotely sensed imagery data is one of the most common research branches of applied remote sensing sciences. The performances of the pixel-based image analysis (PBIA) and object-based image analysis (OBIA) Support Vector Machine (SVM) learning algorithms were subjected to comparative assessment using WorldView-2 and SPOT-6 multispectral images of the Mokhotlong District in Lesotho covering approximately an area of 100 km2. For this purpose, four LULC classification models were developed using the combination of SVM –based image analysis approach (i.e. OBIA and/or PBIA) on high resolution images (WorldView-2 and/or SPOT-6) and the results were subjected to comparisons with one another. Of the four LULC models, the OBIA and WorldView-2 model (overall accuracy 93.2%) was found to be more appropriate and reliable for remote sensing application purposes in this environment. The OBIA-WorldView-2 LULC model was subjected to spatial overlay analysis with DEM derived topographic variables in order to evaluate the relationship between the spatial distribution of LULC types and topography, particularly for topographically-controlled patterns. It was discovered that although that there are traces of the relationship between the LULC types distributions and topography, it was significantly convoluted due to both natural and anthropogenic forces such that the topographic-induced patterns for most of the LULC types had been substantial disrupted.
LG2017
Sanchis, Huertas Ana. "Providing energy efficiency location-based strategies for buildings using linked open data." Master's thesis, 2012. http://hdl.handle.net/10362/8315.
Повний текст джерелаClimate change is a main concern for humanity from the ending of 20th century. To improve and take care of our environment, a set of measures has been developed to monitor, manage, reduce consumption and raise efficiency of buildings, including the integration of renewable energies and the implementation of passive measures like the improvement of the building envelope. Complex methodologies are used in order to achieve these objectives. Using different tools and data translating is needed, and the loss of accuracy from the detailed input information is most of the times unavoidable. Moreover, including these measures in the development of a project have become a try and error process involving building characteristics, location data and energy efficiency measures. The raising of new technologies, capable of dealing with location-based data and semantics to relate and structure information in a machine readable way, may allow us to provide a set of technical measures to improve energy efficiency in an accessible, open, understandable and easy way from a few data about location and building characteristics. This work tries to define a model and its necessary and sufficient set of data. Its application will provide customized strategies acting as pre-feasibility constraints to help buildings achieve their energy efficiency objectives from its very conception. The model intends to be useful for non-expert users who want to know about their energy savings possibilities, and for professionals willing to get a sustainable starting point for their projects.
Penedos, Pedro Pais. "Precision Agriculture Using Unmanned Aerial Systems: Mapping Vigor’s Spatial Variability On Low Density Agricultures Using a Canopy Pixel Classification And Interpolation Model." Master's thesis, 2018. http://hdl.handle.net/10362/33277.
Повний текст джерелаIt is becoming more present in agriculture’s practices the use of Unmanned Aerial Systems with sensors capable of capturing light, in the visible and in longer wavelengths of the electromagnetic spectrum once reflected on the field. These sensors have been used to perform Remote Sensing also in other knowledge fields, describing phenomenon without the risk, cost and the time consuming processes associated with in site samples collection and analysis by a technician or satellite imagery acquisition. The Vegetation Indexes developed can explain the vigor of the cultivation and its data collection processes are more cost and time efficient, allowing farmers to monitor plant grow in every critical stage. These Vegetation Indexes started by being calculated from satellite and airborne imagery, one of the main source for crop management tools, however UAS is becoming more present in Precision Agriculture, achieving better spatial and temporal resolution. This gap in spatial resolution when studying low density cultivations like olive groves and vineyards, creates Vegetation Index’s maps polluted with noise caused by the soil and therefore difficult to interpret and analyse. Hence, when the agriculture has spaced and low density vegetation becomes challenging to understand and extract information from these vegetation index’s maps regarding different spatial variability patterns of the tree canopy vigor. In these cases, where vegetation is spaced it is important to filter this noise. A Classification Model was developed with the objective of extracting just the vegetation’s canopy data. The soil was filtered and the canopy data interpolated using spatial analysis tools. The final interpolated maps produced can provide meaningful information regarding the spatial variability and be used to support decision making, identifying critical areas to be intervened and managed, or be used as an input for Variable Rate Technology applications.
Beerval, Ravichandra Kavya Urs. "Spatiotemporal analysis of extreme heat events in Indianapolis and Philadelphia for the years 2010 and 2011." Thesis, 2014. http://hdl.handle.net/1805/4083.
Повний текст джерелаOver the past two decades, northern parts of the United States have experienced extreme heat conditions. Some of the notable heat wave impacts have occurred in Chicago in 1995 with over 600 reported deaths and in Philadelphia in 1993 with over 180 reported deaths. The distribution of extreme heat events in Indianapolis has varied since the year 2000. The Urban Heat Island effect has caused the temperatures to rise unusually high during the summer months. Although the number of reported deaths in Indianapolis is smaller when compared to Chicago and Philadelphia, the heat wave in the year 2010 affected primarily the vulnerable population comprised of the elderly and the lower socio-economic groups. Studying the spatial distribution of high temperatures in the vulnerable areas helps determine not only the extent of the heat affected areas, but also to devise strategies and methods to plan, mitigate, and tackle extreme heat. In addition, examining spatial patterns of vulnerability can aid in development of a heat warning system to alert the populations at risk during extreme heat events. This study focuses on the qualitative and quantitative methods used to measure extreme heat events. Land surface temperatures obtained from the Landsat TM images provide useful means by which the spatial distribution of temperatures can be studied in relation to the temporal changes and socioeconomic vulnerability. The percentile method used, helps to determine the vulnerable areas and their extents. The maximum temperatures measured using LST conversion of the original digital number values of the Landsat TM images is reliable in terms of identifying the heat-affected regions.