41 research outputs found

    Combined Effects of Impervious Surface and Vegetation Cover on Air Temperature Variations in a Rapidly Expanding Desert City

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    The goal of this study is to improve our understanding of the interac- tive function of impervious and vegetation covers at different levels of the local and intra-urban spatial scales in relation to air temperatures in an urban environment. A multiple regression model was developed using impervious and vegetation frac- tions at different scales to predict maximum air temperature for the entire Phoenix metropolitan area in Arizona, USA. This study demonstrates that a small amount of impervious cover in a desert city can still increase maximum air temperature despite abundant vegetation cover.

    Per-Pixel Versus Object-Based Classification of Urban Land Cover Extraction Using High Spatial Resolution Imagery

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    In using traditional digital classification algorithms, a researcher typically encounters serious issues in identifying urban land cover classes employing high resolution data. A normal approach is to use spectral information alone and ignore spatial information and a group of pixels that need to be considered together as an object. We used QuickBird image data over a central region in the city of Phoenix, Arizona to examine if an object-based classifier can accurately identify urban classes. To demonstrate if spectral information alone is practical in urban classification, we used spectra of the selected classes from randomly selected points to examine if they can be effectively discriminated. The overall accuracy based on spectral information alone reached only about 63.33%. We employed five different classification procedures with the object-based paradigm that separates spatially and spectrally similar pixels at different scales. The classifiers to assign land covers to segmented objects used in the study include membership functions and the nearest neighbor classifier. The object-based classifier achieved a high overall accuracy (90.40%), whereas the most commonly used decision rule, namely maximum likelihood classifier, produced a lower overall accuracy (67.60%). This study demonstrates that the object-based classifier is a significantly better approach than the classical per- pixel classifiers. Further, this study reviews application of different parameters for segmentation and classification, combined use of composite and original bands, selection of different scale levels, and choice of classifiers. Strengths and weaknesses of the object-based prototype are presented and we provide suggestions to avoid or minimize uncertainties and limitations associated with the approach.

    The observation and simulation of diurnal surface thermal contrast in an Alaskan alpine pass

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    A simple surface climate simulator was employed in the analysis of thermal regimes in rough alpine terrain at Chitistone Pass, Alaska. The simulator favorably abstracts observations of thermal regimes on flat and sloping surfaces with variable thermal and radiative properties. It is shown that slope and exposure control variations in surface thermal regimes. The simulator predicts these controls and it is suggested that simulation of surface thermal regimes can be performed before and after field investigations, thus increasing the effective information content of thermal maps acquired using aircraft and orbital platforms. It is concluded that the removal by spatial filtering of the low frequency effects of slope and exposure on thermal maps is necessary before site material effects can be discriminated and analyzed. Ein einfaches Rechenmodell des Bodenklimas wurde auf die Analyse des Temperaturregimes im unebenen Terrain des Chitistone-Passes in Alaska angewandt. Das Modell bildet die beobachteten Temperaturregime ebener und geneigter Bodenflächen mit veränderlichen Wärmeleit- und Strahlungscharakteristiken zufriedenstellend ab. Es wird gezeigt, daß Hangneigung und Hanglage im wesentlichen das Bodentemperaturregime bedingen. Das Modell sagt diese Bedingungsfaktoren richtig voraus. Es wird daher vorgeschlagen, daß Modellrechnungen vor und nach Feldmessungen angestellt werden sollten, um den effektiven Informationsgehalt der Temperaturverteilungskarten zu erhöhen, die von Flugzeugen oder Satelliten vermessen wurden. Es wird darauf hingewiesen, daß die Unterdrückung niederfrequenter Effekte von Hangneigung und Hanglage auf die kartographisch festgehaltene Temperaturverteilung notwendig ist, bevor Bodenbeschaffenheitseffekte diskriminiert und analysiert werden können. Diese Unterdrückung kann durch räumliche Filterung geschehen.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/41669/1/704_2005_Article_BF02243725.pd

    Effects of Human Choices on Characteristics of Urban Ecosystems

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    Most urban ecology in cities remains an ecology in cities rather than an ecology of cities. Accomplishing the latter requires the inclusion of humans within the concept of ecosystem, both how humans alter the properties of urban ecosystems and how these alterations in turn influence human well-being. These influences are both direct (e.g., physiological and psychological influences on the human organism) and indirect, by influencing ecosystem sustainability. For the 2007 ESA meeting, Larry Baker, Loren Byrne, Jason Walker, and Alex Felson organized a symposium to address the relationships among human choices and urban ecosystems. In the introductory talk of this symposium, these authors discussed how the cumulative effect of individual household choices can have major effects on the properties of urban ecosystems
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