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Displaying 576 - 580 of 661Mapping sand dunes risk related to their terrain characteristics using SRTM data and cartographic modeling
Sand dunes encroachment is a challenge that faces land development in North African countries. Movement of these dunes threatens cultivated lands, roads, and urban settlements. Geographic information system (GIS) provides a tool for cartographic modeling of risk of sand dunes encroachment. This study modeled the potential risk of sand dunes encroachment related to their terrain characteristics in the Western Desert of Egypt. The Food and Agricultural Organization's land cover map of Egypt derived from Landsat Thematic Mapper was used to locate the sand dunes bodies.
agent-based model of agricultural innovation, land-cover change and household inequality: the transition from swidden cultivation to rubber plantations in Laos PDR
This article examines the transition from shifting cultivation to rubber production for a study area in northern Laos PDR using an agent-based model of land-cover change. A primary objective of the model was to assess changes in household-level inequality with the transition from shifting cultivation to rubber adoption. A secondary objective was to develop explanations for the rate of rubber adoption in the study area.
new hybrid land cover dataset for Russia: a methodology for integrating statistics, remote sensing and in situ information
Despite being recognized as a key baseline dataset for many applications, especially those relating to biogeochemical cycles, land cover products in their current form are limiting. Typically they lack the thematic detail necessary for driving the models that depend upon them. This study has demonstrated the ability to produce a highly detailed (both spatially and thematically) land cover/land use dataset over Russia – by combining existing datasets into a hybrid information system.
FEM–GIS based channel network model for runoff simulation in agricultural watersheds using remotely sensed data
Event based rainfall-runoff simulation is very important in water resources management. In this paper, an integrated watershed model considering important hydrological processes has been presented for the event based runoff simulation. Green–Ampt–Mein–Larson model has been used for the estimation of infiltration. For runoff estimation, kinematic wave equations are solved for a channel network using finite-element method. Remotely sensed data have been used for evaluating land use/land cover data.
multigradient algorithm using a mixture of experts architecture for land cover classification of multisensor images
An algorithm for supervised classification of multisensor images is proposed. The mixture of experts (ME) architecture with dynamic weight allocation is used for multiclass classification. Here the classification is treated as a maximum likelihood problem and the synaptic weights of the expert network and gating network are updated by a stochastic multigradient approach. Data from an optical sensor with four bands and a synthetic aperture radar (SAR) image of the same scene has been fused and classified.