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The available geotechnical information is used to map the soil types into the geometric model.
To prepare CN map, the soil map and land use map were uploaded to the arc view.
These functions were then applied to map the soil properties using the hyperspectral-derived digital surface soil property maps and the images of landscape covariates as input.
We set out to map the soil organic carbon (SOC) content, as an indicator of soil fertility, at the village scale, and to relate the SOC content to farm scale management and landscape scale characteristics.
The remote-sensing data with salinity measured data of the ground surface classes has been used to map the soil salinity using remote-sensing and apply a comparison with the map obtained by ordinary kriging.
Overall, we have suggested that the combination of two approaches, USLE and spectral indices, could be an indispensable tool for integrated soil management, especially with the perspective to evaluate and map the soil erosion risk.
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Cell-based algorithms were used to map the soil-landscape models spatially.
This forms a preliminary mapping product that demonstrates the feasibility of mapping the Soil Security concept.
Our results show that mapping the soil surface color at farm scale can be a low-cost tool for optimizing agricultural practices and recovering the natural vegetation.
Beside the soil map, the land suitability maps for wheat, alfalfa, potato and maize were also prepared.
The specific objectives of this paper were (i) to draw the VID semi-detailed soil map; (ii) to explain the variability of soil properties; and (iii) to map the main soil characteristics related to irrigation management.
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CEO of Professional Science Editing for Scientists @ prosciediting.com