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Showing items 41869 through 41877 of 73379.With the ever-increasing number of satellites and the availability of data free of charge, the integration of multi-sensor images in coherent time series offers new opportunities for land cover and crop type classification.
Studies to understand litter processes and soil properties are useful for maintaining pastureland productivity as animal husbandry is the dominant occupation in the hot arid region.
This study aims at explaining property right changes in selected areas of Afar region in Ethiopia. Based on primary and secondary data, explanations are given on the existing types of land use arrangements and how the traditional communal rights of pastoralists have been changing.
Past empirical benefit measures and other information originally obtained through primary data collection can be used for assessing and analyzing current management and policy actions. This use of past valuation information for current policy analysis is called benefit transfer.
In this study, we augment an earlier study by estimating the effect of golf courses on housing values using a data set of single-family homes sold between 1994 and 2000. We find that there is generally a positive impact on houses proximate to open space (golf courses and neighborhood parks).
It is increasingly recognized that ecosystems provide varied services that should be considered in land management decisions. One of the challenges in the valuation of landscapes is that they often provide multiple services that combine into one social–ecological system.
This paper explores the use of ALOS (Advanced Land Observing Satellite) PALSARL-band (Phased Array type L-band Synthetic Aperture Radar) and RADARSAT-2 C-band data for land-cover classification in a tropical moist region.
There is increasing evidence that forests and forest soil contribute to the signature of chlorine composition in water bodies. However, little is known about the potential effects of land management activities on chlorine biogeochemistry.
Plant root systems can utilize soil water to depths of 10 m or more. Spatial pattern data of deep soil water content (SWC) at the regional scale are scarce due to the labour and time constraints of field measurements.
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