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1. The use of remote sensing and landscape metrics to describe structures and changes in urban land uses This paper identifies remote sensing technology potential for acquisition of detailed and accurate land-use information for management and planning of urban regions. This study introduces a methodology using information on image spatial formal landscape(More)
Insulator sequences guide the function of distantly located enhancer elements to the appropriate target genes by blocking inappropriate interactions. In Drosophila, five different insulator binding proteins have been identified, Zw5, BEAF-32, GAGA factor, Su(Hw) and dCTCF. Only dCTCF has a known conserved counterpart in vertebrates. Here we find that the(More)
—This study evaluated how spectral resolution of high-spatial resolution optical remote sensing data influences detailed mapping of urban land cover. A comprehensive regional spectral library and low altitude data from the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) were used to characterize the spectral properties of urban land cover. The(More)
This paper explores an addition to theory in urban geography pertaining to spatio-temporal dynamies. Remotely sensed data on the historical extent of urban areas were used in a spatial metrics analysis of geographical form of towns and cities in the Central Valley of California (USA). Regularities in the spatio-temporal pattern of urban growth were delected(More)
Insulator or enhancer-blocking elements are proposed to play an important role in the regulation of transcription by preventing inappropriate enhancer/promoter interaction. The zinc-finger protein CTCF is well studied in vertebrates as an enhancer blocking factor, but Drosophila CTCF has only been characterised recently. To date only one endogenous binding(More)
We investigate the spectral complexity and unique spectral characteristics of urban environments using a comprehensive regional field spectral library of more than 4500 individual spectra. Spectral properties of urban surface materials are presented and interpreted, and their separability is systematically analyzed using the Bhattacharyya distance(More)
The paper explores a framework combining remote sensing and spatial metrics aimed at improving the analysis and modeling of urban growth and land use change. While remote sensing data have been used in urban modeling and analysis for some time, the proposed combination of remote sensing and spatial metrics for that purpose is quite novel. Starting with a(More)
Recent sensor development including high spatial resolution spaceborne systems like IKONOS as well as hyperspectral sensors like AVIRIS have the potential for more detailed and accurate mapping of urban land cover and land use. However, the new spaceborne sensors are limited in their spectral resolution with just four multispectral bands and few studies(More)