Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 10 of 10 for “"Digital soil mapping"”.
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Predicting soil properties using machine learning: a smartphone solution for stakeholders
Soil health is foundational to agricultural productivity, ecosystem sustainability, and climate regulation, yet traditional methods for assessing soil properties are labour-intensive, costly, and limited in spatial resolution. This thesis addresses these limitations by integrating machine learning …
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Developing and evaluating a method to disaggregate legacy SSURGO soil maps
For soil mapping, legacy (survey) data has its greatest potential in the disaggregation of complex soil mapping units. Disaggregation in this context is possible by relating different soils within a single map unit to other known characteristics of the landscape such as slope and curvature. For the …
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Utilizing Remotely Piloted Air Systems in the Delineation of Functional Land Management Zones
… medium through which food production occurs: the soil. Soil provides many of the ecosystem services provided by farmland and is essential for functions such as food production, water storage, carbon cycling and storage, functional and intrinsic biodiversity, as well as nutrient cycling. In order …
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An approach to map soil texture class on the Iowan Erosion Surface
The objective of this digital soil mapping (DSM) research was to compare approaches of new and legacy dataset combination to produce surface soil texture class maps on the Iowan Erosion Surface physiographic region (MLRA 104) using standard and novel predictor variables (covariates) for modeling. …
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Multi-temporal remote sensing for estimation of plant available water-holding capacity of soil
Soil maps are fundamental for agricultural management. However, mapping soils is a difficult task because of their high spatial variability and the challenge of choosing representative field sites for soil analysis. Globally, soil information is becoming a prioritized agenda, due to the increasing …
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Assessment of SWAT to Enable Development of Watershed Management Plans for Agricultural Dominated Systems under Data-Poor Conditions
… outputs due to input parameters, specifically soils and high resolution digital elevation models, which are likely to be lacking in data-poor environments, was quantified using Monte Carlo simulation. Two sources of soil parameter values (SSURGO and STATSGO) were investigated, as well as three …
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An examination of geographic patterns of soil climate and its classification in the U.S. system of soil taxonomy
<p>Soil climate, the record of temporal patterns of soil moisture and temperature, is an important component of the structure of U.S. Soil Taxonomy. The U.S. Soil Survey has used the Newhall Simulation Model (NSM) for estimating soil climate from atmospheric climate records at weather stations …
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Methodology for the disaggregation of polytaxic cartographic units in intensive conventional soil maps. Application towards the improvement of the integrated terroir zoning of the designation of origin campo de Borja
… Esto se consigue desde datos ambientales digitalizados y técnicas estadísticas cuantitativas, en el marco de la "Cartografía Digital de Suelos". Esta tesis propone una nueva metodología de disgregación que implica la selección de las covariables de mayor capacidad definitoria de las …