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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Estimating and Mapping the LAI and Mean Crown Radius of Forest from Airborne Images: A Case Study in the Zaleski State Forest

Xi, Zhouxin 03 September 2013 (has links)
No description available.
2

Development of a multi-scale meteorological system to improve urban climate modeling

Mauree, Dasaraden 19 March 2014 (has links) (PDF)
This study consisted in the development of a canopy model (CIM), which could be use as an interface between meso-scale models used to simulate urban climate and micro-scale models used to evaluate building energy use. The development is based on previously proposed theories and is presented in different atmospheric conditions, with and without obstable. It has been shown, for example, that to be in coherence with the Monin-Obukhov Similarity Theory, that a correction term has to be added to the buoyancy term of the T.K.E. CIM has also been coupled with the meteorological meso-scale model WRF. A methodology was proposed to take advantage of both models (one being more resolved, the other one integrating horizontal transport terms) and to ensure a coherence of the results. Besides being more precise than the WRF model at the same resolution, this system allows, through CIM, to provide high resolved vertical profiles near the surface.
3

Urban Green Infrastructure: Modelling and Implications to Environmental Sustainability

January 2016 (has links)
abstract: The combination of rapid urban growth and climate change places stringent constraints on multisector sustainability of cities. Green infrastructure provides a great potential for mitigating anthropogenic-induced urban environmental problems; nevertheless, studies at city and regional scales are inhibited by the deficiency in modelling the complex transport coupled water and energy inside urban canopies. This dissertation is devoted to incorporating hydrological processes and urban green infrastructure into an integrated atmosphere-urban modelling system, with the goal to improve the reliability and predictability of existing numerical tools. Based on the enhanced numerical tool, the effects of urban green infrastructure on environmental sustainability of cities are examined. Findings indicate that the deployment of green roofs will cool the urban environment in daytime and warm it at night, via evapotranspiration and soil insulation. At the annual scale, green roofs are effective in decreasing building energy demands for both summer cooling and winter heating. For cities in arid and semiarid environments, an optimal trade-off between water and energy resources can be achieved via innovative design of smart urban irrigation schemes, enabled by meticulous analysis of the water-energy nexus. Using water-saving plants alleviates water shortage induced by population growth, but comes at the price of an exacerbated urban thermal environment. Realizing the potential water buffering capacity of urban green infrastructure is crucial for the long-term water sustainability and subsequently multisector sustainability of cities. Environmental performance of urban green infrastructure is determined by land-atmosphere interactions, geographic and meteorological conditions, and hence it is recommended that analysis should be conducted on a city-by-city basis before actual implementation of green infrastructure. / Dissertation/Thesis / Doctoral Dissertation Civil and Environmental Engineering 2016
4

Development of a multi-scale meteorological system to improve urban climate modeling / Developpement d'un système météorologique multi-échelle pour améliorer la modélisation du climat urbain

Mauree, Dasaraden 19 March 2014 (has links)
Ce travail a consisté à développer un modèle de canopée (CIM), qui pourrait servir d’interface entre des modèles méso-échelles de calcul du climat urbain et des modèles micro-échelles de besoin énergétique du bâtiment. Le développement est présenté en conditions atmosphériques variées, avec et sans obstacles, en s’appuyant sur les théories précédemment proposées. Il a été, par exemple, montré que, pour être en cohérence avec la théorie de similitude de Monin-Obukhov, un terme correctif devait être rajouté au terme de flottabilité de la T.K.E. CIM a aussi été couplé au modèle méso-échelle WRF. Une méthodologie a été proposée pour profiter de leurs avantages respectifs (un plus résolu, l’autre intégrant des termes de transports horizontaux) et pour assurer la cohérence de leurs résultats. Ces derniers ont montré que ce système, en plus d’être plus précis que le modèle WRF à la même résolution, permettait, par l’intermédiaire de CIM, de fournir des profils plus résolus près de la surface. / This study consisted in the development of a canopy model (CIM), which could be use as an interface between meso-scale models used to simulate urban climate and micro-scale models used to evaluate building energy use. The development is based on previously proposed theories and is presented in different atmospheric conditions, with and without obstable. It has been shown, for example, that to be in coherence with the Monin-Obukhov Similarity Theory, that a correction term has to be added to the buoyancy term of the T.K.E. CIM has also been coupled with the meteorological meso-scale model WRF. A methodology was proposed to take advantage of both models (one being more resolved, the other one integrating horizontal transport terms) and to ensure a coherence of the results. Besides being more precise than the WRF model at the same resolution, this system allows, through CIM, to provide high resolved vertical profiles near the surface.
5

Assessing, evaluating, and applying canopy models of urban vegetation from satellite-based height data / Erfassung, Bewertung und Anwendung von Kronenmodellen der Stadtvegetation aus satellitengestützten Höhendaten

Schreyer, Johannes 12 March 2024 (has links)
Städtische Gehölzflächen haben positive Auswirkungen für Mensch und Natur, wie die Abkühlung überhitzter Innenstädte. Detaillierte Angaben zur Lage, Höhe und Kronenstruktur sind zur Lokalisierung und Quantifizierung derartiger Wirkungen unentbehrlich, allerdings auf globalen Maßstab nur für wenige Siedlungsräume verfügbar. In dieser Arbeit werden städtische Baumkronenhöhenmodelle (BHM) aus global verfügbaren digitalen Höhenmodellen (DHM) der TanDEM-X-Mission unter Einbezug zusätzlicher Fernerkundungsdaten und übertragbarer Bildverarbeitungstechniken erstellt sowie deren Anwendbarkeit für stadtökologische Fragestellungen untersucht. Das übergeordnete Ziel der Arbeit ist die Bereitstellung von Ansätzen zur Erstellung und Einbindung großmaßstäblicher, mehrdimensionaler Informationen zu städtischen Gehölzflächen. In einem ersten Schritt wird ein BHM aus einem TanDEM-X DHM unter Verwendung eines zusätzlichen Geländemodells für verschiedene urbane Biotopen der deutschen Stadt Berlin abgeleitet und validiert. Im Anschluss wird in einem neuartigen Ansatz zuerst ein Gelände- und dann ein Kronenmodell für groß- und kleinflächige Gehölzbestände aus einem TanDEM-X-DHM abgeleitet, um die Unabhängigkeit zusätzlicher Höhendaten zu erreichen. Die Genauigkeiten beider Schritte variieren in Abhängigkeit des städtischen Kontextes, wobei Resultate gröber aufgelöster globaler Höhendaten übertroffen werden. Zur Ideenfindung zukünftiger Anwendungen eines BHM in der Stadtforschung wird eine schriftliche Expertenumfrage durchgeführt. Über die Ableitung und Einbindung eines BHM für die iranische Stadt Yazd werden die methodische Übertragbarkeit getestet und Anwendbarkeit demonstriert. Im Gesamtergebnis liefert diese Dissertation validierte Ansätze zur Erstellung und Einbindung großskaliger Flächen- und Höhendaten städtischer Vegetation, die neue Perspektiven für stadtökologische Fragestellungen bieten. / Urban trees and shrubs have a variety of positive effects on humans and nature, such as cooling overheated inner cities. Detailed information on the location, height, and canopy structure of urban woody plants is indispensable for locating and quantifying such effects, but they are only poorly available on large scales. The globally available digital elevation model (DEM) of the TanDEM-X mission seems suitable for deriving the height and structure of woody areas in cities. This work incorporates TanDEM-X’s DEM with additional remote sensing data and transferable image processing techniques to create urban tree canopy height models (CHM) of woody vegetation and investigate their applicability. The overall goal of this thesis is to provide approaches for creating and applying large-scale, multi-dimensional information on urban wooded areas in a holistic framework. In a first step, CHMs are derived from a TanDEM-X DEM and validated using an additional terrain model for different urban biotopes in Berlin, Germany. Next, first a terrain model and then a crown model are derived in a novel approach, to eliminate the need for an additional terrain model. The accuracies of both steps vary depending on the urban context, but exceed results based on global elevation data with coarser resolution. Then, to generate ideas for future applications of a CHM in urban research, a Berlin CHM is presented to a scientific audience in a written survey. By conducting an urban CHM for the Iranian city of Yazd and integrating it into an urban ecological study, the methodological transferability of the model is tested and the applicability is demonstrated. As an overall result, this thesis provides approaches for the processing and specific application of large-scale area and elevation data on urban vegetation, offering a variety of new perspectives on urban ecological issues.

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