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Displaying 251 - 255 of 661Mapping urban land uses in the United States by census zone using nationally available data
Accurate identification of urban land use is essential for many applications. However, as physical surfaces of land-cover types are not necessarily related to their use and economic function, differentiating among thematically detailed urban land uses (single-family residential, multi-family residential, commercial, industrial, etc.) using remotely sensed imagery is a challenging task, particularly over large areas.
Effects of Land-Use Change on Soil Organic Carbon and Nitrogen
Although the literature is full of references to soil degradation under forest cultivation, very little information is available on changes in soil properties following deforestation of the Hyrcanian area in northern Iran. Also, the literature provides little information on the effects of conversion from deforested cropland to grazing, a likely direction of land-use change in northern Iran. The objective of this study was to assess the effect of conversion of native forests into farmlands and/or grazing lands on soil properties and nutrients in the Hyrcanian forest.
Centrarchid Assemblages in Floodplain Lakes of the Mississippi Alluvial Valley
The family Centrarchidae is a principal and visible component of the ichthyofauna in most warmwater ecosystems in North America, and many of its species provide key recreational fisheries. We examined the significance of various local environmental factors to 13 centrarchid species in 53 floodplain lakes (remnant channels) of the Mississippi alluvial valley to identify major environmental gradients influential in structuring centrarchid assemblages.
good shepherd: remedying the fencing syndrome
In this paper the use of fenced grazing camps to manage the rangeland commons is challenged. A historical perspective is presented on fencing and rotational grazing in South Africa. Two case studies in KwaZulu-Natal and the Northern Cape illustrate the factors that influence the management of rangelands under communal land tenure without the use of fences. It is argued that herding is preferred over fencing.
Kernel-based extreme learning machine for remote-sensing image classification
This letter evaluates the effectiveness of a new kernel-based extreme learning machine (ELM) algorithm for a land cover classification using both multi- and hyperspectral remote-sensing data. The results are compared with the most widely used algorithms – support vector machines (SVMs). The results are compared in terms of the ease of use (in terms of the number of user-defined parameters), classification accuracy and computation cost.