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Analysis of land suitability classification systems as a basis to improve the Brazilian system of land suitability classificationAlmeida, Jeronimo Cunha. January 1978 (has links)
Thesis (M.S.)--Wisconsin. / Includes bibliographical references (leaves 161-164).
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De bodemgesteldheid van het Westland. Soil conditions in the Westland.Liere, Willem Johannis van, January 1948 (has links)
Proefschrift-Landbouwhogeschool te Wageningen. / "Stellingen" slip inserted at end. Summary and legends in English. Includes bibliographical references.
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Statistical analysis of variation of two soil properties along two transects on some forested soil bodies in WisconsinNwadialo, Bernard-Shaw E. January 1978 (has links)
Thesis (M.S.)--Wisconsin. / Includes bibliographical references (leaves 104-110).
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Development of on-the-go soil sensing technology for mapping soil, pH, potassium and nitrate contentsSethuramasamyraja, Balaji. January 1900 (has links)
Thesis (Ph.D.)--University of Nebraska-Lincoln, 2006. / Title from title screen (site viewed on Sept. 12, 2006). PDF text of dissertation: viii, 128 p. : ill. ; 1.84Mb. UMI publication number: AAT 3208086. Includes bibliographical references. Also available in microfilm, microfiche and paper format.
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Soil survey of La Lola cacao farmBazán S., Rufo. January 1963 (has links) (PDF)
Thesis (M. A.)--Inter-American Institute of Agricultural Science of the OAS, 1963. / Includes bibliographical references.
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Use of soil survey, field experiments and soil and plant analysis for defining areas of micronutrient deficiency /King, P. M. January 1974 (has links) (PDF)
Thesis (M.Ag.Sc. 1975) from the Department of Agronomy, University of Adelaide.
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Reconnaissance soil survey in Northern SurinamEyk, J. J. van der, January 1900 (has links)
Thesis (doctoral)--Landbouwhogeschool te Wageningen, 1957. / One folded map in pocket. Includes bibliographical references (p. 95-99).
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An analysis of the physiographic basis of soil surveysWebster, Richard January 1965 (has links)
No description available.
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The use of soil information systems in land planningPonce Hernandez, R. January 1987 (has links)
Computerized soil information systems (SIS) store and retrieve, much more efficiently than soil maps, the soil information collected from field survey which is essential for land-use planning. The soil is only observed and sampled at a limited number of locations, depths and for a limited number of properties. Information not recorded during survey is missing and if needed must be generated or predicted. New geostatistical techniques for spatial analysis and interpolation of soil data, i.e. the semi-variogram and Kriging, can now be included as on-line capabilities of SIS to equip users with a powerful tool for prediction of the missing information. When there are no records of the wanted property, its values can be estimated by a function on other recorded properties acting as its surrogates. A strategy for model development is provided for the construction of surrogate functions based on multiple regression and curve fitting techniques, to generate the information missing. When no records of the soil property at the depth wanted exist, the values at the required depths are interpolated by a function of the property on the soil depth. Equal-area spline curves reconstruct, piecewise, the depth function quite closely, enabling their use for interpolation of values and depths in a variety of formats. The equal-area spline algorithm is a capability of the Oxford SIS (OXSIS). When the wanted site was unvisited during survey, the information missing is provided by spatial prediction. The predictions may come from means of soil classes or mapping units from conventional survey, or from Kriging interpolation based on spatial analysis by the semi-variogram. In order to select the best predictive tool, the success of these techniques in different situations of sampling effort and variablity were compared. Semi-variograms depicted the spatial structures of 8 selected soil properties. Anisotropic variation in 4 of them was induced by strong trends. Where the semi-variogram was isotropic Kriging was the best tool for prediction if spatial dependence is strong. Fitting elliptical functions to find a model for anisotropy did not give satisfactory results. Where anisotropies or trends precluded ordinary Kriging, map unit means and class means, in that order, gave the best predictions. Success in prediction was related to the structures in the semi-variogram, which when used for reconnaissance helps to infer which technique will give the best predictions so that survey is designed accordingly. Accounting for the trends removed anisotropies and Kriging of de-trended data was possible. Partitioning trends by stratification based in soil mapping units gave a greater improvement in predictions than modelling trends by bicubic spline surfaces and then Kriging the residuals from trend. After trend removal, Kriging did not always make the best predictions and means from classes seemed equally as good as Kriging or even better in some cases. These results indicate that a critical point is to ascertain how to best sample to estimate a reconnaissance semi-variogram for survey design to provide the information missing necessary for land-use planning.
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The potential of soil survey data in a quantitative evaluation of surficial geology mapping in northern MaineEvans, Rosalia. January 1900 (has links)
Thesis (M.A.)--West Virginia University, 2002. / Title from document title page. Document formatted into pages; contains viii, 125 p. : ill., maps. Includes abstract. Includes bibliographical references (p. 80-82).
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