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Evaluation of conditioned Latin hypercube sampling for soil mapping based on a machine learning method
Conditioned Latin hypercube sampling Soil mapping Representativeness Sample randomness
2024/1/12
Sampling design plays an important role in soil survey and soil mapping. Conditioned Latin hypercube sampling (cLHS) has been proven as an efficient sampling strategy and used widely in digital soil m...
Digital soil mapping from conventional field soil observations
field soil description fuzzy k-means pedometrics regression-kriging terrain
2015/3/9
We tested the performance of a formalized digital soil mapping (DSM) approach comprising fuzzy k-means (FKM) classification and regression-kriging to produce soil type maps from a fine-scale soil obse...
Building soil spectral library of the Czech soils for quantitative digital soil mapping
diffuse reflectance spectroscopy digital soil mapping soil spectral library
2015/3/3
Spectral libraries are the data archives of spectral signatures measured on natural and/or man-made materials. Here, the objective is to build a soil spectral library of the Czech soils (SSL-CZ). Furt...
Improving the Prediction Accuracy of Soil Mapping through Geostatistics
Soil Maps Geostatistics Soil Properties Prediction Accuracy Cross Validation
2013/3/8
This research aimed to implement and compare the accuracy of different interpolation methods using cross validation errors for interpolating the spatial pattern of soil properties. This paper investig...
Soil mapping approach in GIS using Landsat satellite imagery and DEM data
Soil survey soil mapping soil classification GIS DEM satellite data
2010/9/14
The objective of this study was to create base soil survey maps of the studied lands using Landsat satellite imagery and Digital Elevation Model (DEM) data in a GIS framework. Specific goals were to g...