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Showing items 9487 through 9495 of 9522.
Image segmentation is a basic and important procedure in object-based classification of remote-sensing data.
A new locally-adaptive image classification method LAGMA (Locally-Adaptive Global Mapping Algorithm) has been developed to meet requirements of land cover mapping over large areas using remote-sensing data.
Dhaka city in Bangladesh has been passing through a hasty process of urbanization and population growth since the last few decades.
Potential data sets for landcover classification, such as Landsat (or pre-processed data such as the National Land Cover Dataset (NLCD)), are often too coarse for fine-scale research needs or are cost-prohibitive (Quickbird, Ikonos and Geoeye).
A modelling framework is developed to determine the joint economic and environmental net benefits of alternative land allocation strategies.
CONTEXT: With rapidly expanding urban regions, the effects of land cover changes on urban surface temperatures and the consequences of these changes for human health are becoming progressively larger problems.
In course of the research there were considered the problems of the land taxation. Special role of land tax in the system of rationalization of land use was revealed. The experiences of different countries about land taxes were analyzed.
The effect of 19 environmental variables on species richness of macrophytes was studied in 39 Slovak streams. The studied streams were poor in species; in total, 88 macrophyte taxa were found and the average number of macrophytes per sampling site was 4, ranging from 0 to15.
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