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Effects of soil depth spatial variation on runoff simulation, using the Limburg Soil Erosion Model (LISEM), a case study in Faucon catchment, France
conditional simulation Faucon hydrograph kriging LISEM soil depth
2015/3/5
Soil depth is an important parameter for models of surface runoff. Commonly used models require not only accurate estimates of the parameter but also its realistic spatial distribution. The objective ...
Parametric approach to land evaluation for forest plantation: A methodological study using GIS model
Parametric approach forest land evaluation land characteristics GIS modeling
2011/1/11
In this study, the land suitability analysis has been carried out to identify suitable areas found in the Yeşilirmak Delta and the Central Black Sea Region of Turkey for afforest plantation. Clim...
Soil scientists often face the dilemma of wishing to study soil in remote areas because they are ideal places to study soil formation and distribution under natural conditions, but mapping them requir...
Soil Erosion Risk Assessment With ICONA Model：Case Study：Beypazarı Area
ICONA erosion model remote sensing geographic information system
2009/1/13
In this research, the applicability of geographic information system (GIS) and remote sensing (RS) techniques was tested to assess soil erosion risk with the ICONA erosion model. This study was carri...
Geographic Information System and Remote Sensing Based Land Evaluation of Beypazarı Area Soils by ILSEN Model
Land mapping units Land qualities Land utilization type Land evaluation
2009/1/13
Land evaluation is of great importance in guiding decisions on land uses in terms of their potential and conserving natural resources for future generations. The main objective of this study was to d...