Poster Library

The Poster Library showcases research on soil science, digital soil mapping, geospatial modeling, and environmental analysis, presented at national and international conferences. Topics include improving soil fertility maps, predicting topsoil thickness with machine learning, using digital hillslope position for soil mapping, and identifying non-contributing watershed areas. Other studies focus on soil sampling optimization, historical geological mapping, and conservation practices like perennial vegetation strips. Environmental research includes heavy metal impacts from power plants and loess distribution in Iran, along with work refining definitions of colluvium and alluvium. These posters provide key insights into soil-landscape interactions, conservation, and land management.

Posters

Legacy Data Rescue

AI-OCR driven recovery of legacy soil data unlocks decades of buried information at a fraction of the original cost. This work demonstrates scalable methods for rescuing soil data from paper and PDF archives across universities and NRCS offices. Historical pedon records, which originally required $8,000–$10,000 per site to collect and analyze, were digitized and structured…

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Locally-enhanced Digital Soil Map for North Central Iowa

Poster – 2024 NCSS Regional Conference, Platteville, WI This study demonstrates that a bottom-up, locally enhanced DSM framework can exceed the performance of one of the most detailed conventional soil maps available. The LE-DSM product outperformed SSURGO for 46% of soil property and depth predictions, while SSURGO exceeded top-down DSM products in 75% of comparisons….

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GPT-4 Vision Recovers Legacy Soil Data

Meyer Bohn and Bradley Miller – National Cooperative Soil Survey National Conference June 23-25, 2025 GPT-4 TurboDownload Abstract Advancements in artificial intelligence (AI) and optical character recognition (OCR) technology are rapidly transforming how we process historical soils data. Just two years ago, large-scale soils legacy data rescue required manual entry, but today, AI offers a…

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Improving Digital Soil Maps for Site-specific Soil Fertility Management Using Feature Selection

Caner Ferhatoglu and Bradley Miller – North Central Soil Fertility Conference November 16-17, 2022 Caner-Ferhatoglu-Poster-North-Central-Soil-Fertility-Conference-Final-VersionDownload Abstract In this study, the effectiveness of six types of FS methods from four categories (filter, wrapper, embedded, and hybrid) were compared. These FS algorithms chose relevant covariates from a set of 1049 environmental covariates for predicting five soil fertility…

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Evaluating the Accuracy of Ensemble Machine Learning and Statistical Uncertainty: Spatial Prediction of Topsoil Thickness in Iowa

Meyer Bohn and Bradley Miller – Iowa Water Center Conference April 6-8, 2021 Bohn-Dows-Topsoil-Thickness-IWC Abstract Abstract The objectives of this study were to assess spatial predictions of topsoil thickness from models produced from ensemble machine learning algorithms along with assessing the uncertainty estimations associated with those models. Boosting is one example of an ensemble method,…

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Identifying Non-contributing Areas of Watersheds: A New and Repeatable Approach (2018 Environmental Science Seminar)

A new approach for delineating noncontributing areas of watersheds is presented. Maps of soil properties offer indicators of subtle landscape features and hydrologic functions. Our approach is to identify soil map units that reflect upland ponding and then define the sum of their watersheds as the noncontributing area. The decrease in time required to delineate…

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William Smith’s 1815 Delineation of the Strata of England and Wales with Part of Scotland: …Varieties of Soil According to the Variations in the Substrata (2018 EGU General Assembly)

The map produced by William Smith in 1815 is recognized as the first geological map of Britain, but it also represents a benchmark in cartography for the Earth sciences. Following the agrogeology concepts of the time, the title claims that by mapping the geologic strata, the varieties of soil are also shown. The new opportunity…

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