نتایج جستجو برای: ikonos
تعداد نتایج: 845 فیلتر نتایج به سال:
Choi, J. K., Ryu, J. H. and Eom, J., 2011. Integration of spatial variables derived from remotely sensed data for the mapping of the tidal surface sediment distribution. Journal of Coastal Research, SI 64 (Proceedings of the 11th International Coastal Symposium), 1653 – 1657. Szczecin, Poland, ISSN 0749-0208 The sedimentary environments of tidal flats on the west coast of Korea are subjected to...
In monitoring vegetation change and urban planning, the measure and the mapping of the green vegetation over the Earth play an important role. The normalized difference vegetation index (NDVI) is the most popular approach to generate vegetation maps for remote sensing imagery. Unfortunately, the NDVI generates low-resolution vegetation maps. Highresolution imagery, such as IKONOS imagery, can b...
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When ordering very high resolution (VHR) imagery of IKONOS or QuickBird a cloud coverage up to 20 % within the scenes has to be accepted. This indicates the high impact of atmospheric conditions to VHR imagery. Beside clouds the images are influenced by haze oftentimes. This haze could be removed using new atmospheric correction algorithms, which were not available for VHR data so far. Furtherm...
Modelling and mapping of hooded warbler (Wilsonia citrina) nesting habitat in forests of southern Ontario were conducted using Ikonos and Landsat data. The study began with an analysis of skyward hemispherical photography to determine canopy characteristics associated with nest sites. It showed that nest sites had significantly less overhead canopy cover and larger maximum gap size than in non-...
The correlation between census population density and Ikonos image texture was explored. The spatial unit for the analysis was census blocks with homogenous land-use. Ikonos image texture was described using three methods: the graylevel co-occurrence matrix (GLCM), semi-variance, and spatial metrics. Linear regression was conducted to explore the correlation between image texture and population...
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