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- Landslides; geohazards; risk modeling (4)
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Articles 1 - 16 of 16
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Surficial Geologic Map Of The Summit 7.5-Minute Quadrangle, Kentucky, Antonia E. Bottoms, Ann Hislop, Matthew A. Massey, Max Hammond Iii, Michelle Mchugh, Emily Morris
Surficial Geologic Map Of The Summit 7.5-Minute Quadrangle, Kentucky, Antonia E. Bottoms, Ann Hislop, Matthew A. Massey, Max Hammond Iii, Michelle Mchugh, Emily Morris
Report of Investigations--KGS
The Summit 7.5-minute quadrangle is located south of Louisville and west of Elizabethtown along the boundary between Hardin and Grayson Counties and within the Mississippian Plateau physiographic region (McDowell, 1986). Topography is characterized by the low relief Pennyroyal region that sits at elevations between 560 to 650 ft above sea level, the low relief Mammoth Cave plateau at elevations between 750 to 900 ft, and the steep Dripping Springs escarpment that separates the two plains. Moore (1964) mapped the bedrock geology of the quadrangle, which was later digitized by Conley (2002). Mississippian bedrock is exposed throughout the quadrangle and is …
Phase I Activities Of The Earth Mapping Resources Initiative (Earth Mri) In The Western Kentucky Fluorspar District, Georgina Lukoczki, Craig Dietsch, John B. Hickman, Emily Morris, Douglas C. Curl, Carrie Pulliam, Stephanie Vicroy, William M. Andrews Jr.
Phase I Activities Of The Earth Mapping Resources Initiative (Earth Mri) In The Western Kentucky Fluorspar District, Georgina Lukoczki, Craig Dietsch, John B. Hickman, Emily Morris, Douglas C. Curl, Carrie Pulliam, Stephanie Vicroy, William M. Andrews Jr.
Report of Investigations--KGS
The Western Kentucky Fluorspar District (WKFD), which comprises the Kentucky portion of the Illinois–Kentucky Fluorspar District, is well known for the occurrence of strategically important critical mineral resources, such as fluorite (fluorspar) and rare earth elements (REEs). Due to technological advances, demand has increased for critical minerals used in cell phones, magnets in wind turbines, batteries for electric vehicles, smart weapons, and other devices and systems. The overall objective of the Earth Mapping Resources Initiative (Earth MRI) program, directed by the U.S. Geological Survey (USGS), is to gather information that will help better understand the distribution of critical minerals in …
Landslide Susceptibility Map Of Martin County, Kentucky, Matthew C. Crawford, Hudson J. Koch, Jason M. Dortch, William C. Haneberg
Landslide Susceptibility Map Of Martin County, Kentucky, Matthew C. Crawford, Hudson J. Koch, Jason M. Dortch, William C. Haneberg
Report of Investigations--KGS
The purpose of this map is to identify landslide-prone areas in Martin County in order to provide the public, as well as local and state government agencies, with information about where landslides are likely to occur. This map represents geomorphic-based susceptibility modeling that focuses on physical slope characteristics and morphology, the quality of which is dependent on data accuracy and resolution of terrain models. The availability of high-resolution (5-ft digital elevation model) lidar derived datasets allows for the generation of terrain elevation derivatives such as hillshades, slope, aspect, curvature, and roughness, as well as identification of existing landslide deposits. These …
Landslide Susceptibility Map Of Pike County, Kentucky, Matthew M. Crawford, Hudson J. Koch, Jason M. Dortch, William C. Haneberg
Landslide Susceptibility Map Of Pike County, Kentucky, Matthew M. Crawford, Hudson J. Koch, Jason M. Dortch, William C. Haneberg
Report of Investigations--KGS
The purpose of this map is to identify landslide-prone areas in Pike County in order to provide the public, as well as local and state government agencies, with information about where landslides are likely to occur. This map represents geomorphic-based susceptibility modeling that focuses on physical slope characteristics and morphology, the quality of which is dependent on data accuracy and resolution of terrain models. The availability of high-resolution (5-ft digital elevation model) lidar derived datasets allows for the generation of terrain elevation derivatives such as hillshades, slope, aspect, curvature, and roughness, as well as identification of existing landslide deposits. These …
Landslide Susceptibility Map Of Floyd County, Kentucky, Matthew M. Crawford, Hudson J. Koch, Jason M. Dortch, William C. Haneberg
Landslide Susceptibility Map Of Floyd County, Kentucky, Matthew M. Crawford, Hudson J. Koch, Jason M. Dortch, William C. Haneberg
Report of Investigations--KGS
The purpose of this map is to identify landslide-prone areas in Floyd County in order to provide the public, as well as local and state government agencies, with information about where landslides are likely to occur. This map represents geomorphic-based susceptibility modeling that focuses on physical slope characteristics and morphology, the quality of which is dependent on data accuracy and resolution of terrain models. The availability of high-resolution (5-ft digital elevation model) lidar derived datasets allows for the generation of terrain elevation derivatives such as hillshades, slope, aspect, curvature, and roughness, as well as identification of existing landslide deposits. These …
Landslide Susceptibility Map Of Magoffin County, Kentucky, Matthew M. Crawford, Hudson J. Koch, Jason M. Dortch, William C. Haneberg, Ashton A. Killen
Landslide Susceptibility Map Of Magoffin County, Kentucky, Matthew M. Crawford, Hudson J. Koch, Jason M. Dortch, William C. Haneberg, Ashton A. Killen
Report of Investigations--KGS
The purpose of this map is to identify landslide-prone areas in Magoffin County, Kentucky, in order to provide the public, as well as local and state government agencies, with information about where landslides are likely to occur. This map represents geomorphic-based susceptibility modeling that focuses on physical slope characteristics and morphology, the quality of which is dependent on data accuracy and resolution of terrain models. The availability of high-resolution (5-ft digital elevation model) lidar derived datasets allows for the generation of terrain elevation derivatives such as hillshades, slope, aspect, curvature, and roughness, as well as identification of existing landslide deposits. …
Landslide Susceptibility Map Of Johnson County, Kentucky, Matthew M. Crawford, Hudson J. Koch, Jason M. Dortch, William C. Haneberg
Landslide Susceptibility Map Of Johnson County, Kentucky, Matthew M. Crawford, Hudson J. Koch, Jason M. Dortch, William C. Haneberg
Report of Investigations--KGS
The purpose of this map is to identify landslide-prone areas in Johnson County in order to provide the public, as well as local and state government agencies, with information about where landslides are likely to occur. This map represents geomorphic-based susceptibility modeling that focuses on physical slope characteristics and morphology, the quality of which is dependent on data accuracy and resolution of terrain models. The availability of high-resolution (5-ft digital elevation model) lidar derived datasets allows for the generation of terrain elevation derivatives such as hillshades, slope, aspect, curvature, and roughness, as well as identification of existing landslide deposits. These …
A Method For Phenotyping Roots Of Large Plants, Brian Rinehart, Hanna J. Poffenbarger, Daniel Lau, David H. Mcnear
A Method For Phenotyping Roots Of Large Plants, Brian Rinehart, Hanna J. Poffenbarger, Daniel Lau, David H. Mcnear
Plant and Soil Sciences Faculty Publications
Linking root traits to plant functions can enable crop improvement for yield and ecosystem functions. However, plant breeding efforts targeting belowground traits are limited by appropriate phenotyping methods for large root systems. While advances have been made allowing for imaging large in situ root systems, many of these methods are inaccessible due to expensive technology requirements. The aim of this work was to develop a plant phenotyping platform and analysis method suitable for assessing root traits of large, intact root systems. With the use of a purpose-built imaging table and automated photo capture system, machine learning-based image segmentation, and off-the-shelf …
Are Soybean Models Ready For Climate Change Food Impact Assessments?, Kritika Kothari, Rafael Battisti, Kenneth J. Boote, Sotirios V. Archontoulis, Adriana Confalone, Julie Constantin, Santiago V. Cuadra, Philippe Debaeke, Babacar Faye, Brian Grant, Gerrit Hoogenboom, Qi Jing, Michael Van Der Laan, Fernando Antônio Macena Da Silva, Fabio R. Marin, Alireza Nehbandani, Claas Nendel, Larry C. Purcell, Budong Qian, Alex C. Ruane, Céline Schoving, Evandro H. F. M. Silva, Ward Smith, Afshin Soltani, Amit Srivastava, Nilson A. Vieira Jr., Stacey Slone, Montserrat Salmerón
Are Soybean Models Ready For Climate Change Food Impact Assessments?, Kritika Kothari, Rafael Battisti, Kenneth J. Boote, Sotirios V. Archontoulis, Adriana Confalone, Julie Constantin, Santiago V. Cuadra, Philippe Debaeke, Babacar Faye, Brian Grant, Gerrit Hoogenboom, Qi Jing, Michael Van Der Laan, Fernando Antônio Macena Da Silva, Fabio R. Marin, Alireza Nehbandani, Claas Nendel, Larry C. Purcell, Budong Qian, Alex C. Ruane, Céline Schoving, Evandro H. F. M. Silva, Ward Smith, Afshin Soltani, Amit Srivastava, Nilson A. Vieira Jr., Stacey Slone, Montserrat Salmerón
Plant and Soil Sciences Faculty Publications
An accurate estimation of crop yield under climate change scenarios is essential to quantify our ability to feed a growing population and develop agronomic adaptations to meet future food demand. A coordinated evaluation of yield simulations from process-based eco-physiological models for climate change impact assessment is still missing for soybean, the most widely grown grain legume and the main source of protein in our food chain. In this first soybean multi-model study, we used ten prominent models capable of simulating soybean yield under varying temperature and atmospheric CO2 concentration [CO2] to quantify the uncertainty in soybean yield …
Long-Term Sustainability Implications Of Diverse Commercial Pollinator Mixtures For The Conservation Reserve Program, Amanda J. Ashworth, Taylor Adams, Alayna Jacobs
Long-Term Sustainability Implications Of Diverse Commercial Pollinator Mixtures For The Conservation Reserve Program, Amanda J. Ashworth, Taylor Adams, Alayna Jacobs
Plant and Soil Sciences Graduate Research
The persistence of Conservation Reserve Program (CRP) seed mixtures following planting is crucial for the long-term support of pollinator habitat; however, the role of disturbance regimes and their interactions in supporting this ecosystem service are largely unknown. This study set out to evaluate how ecological disturbances (prescribed burn, light disking, or fallow control) and commercially available diverse species mixtures (‘Hamilton’, ‘Bamert’, and ‘Holland’) affect pollinator habitat and the flowering period of commonly used CRP species mixtures. Specifically, three pollinator species mixtures were assessed for plant stand dynamics (plant density, yield, and dual-use pollinator-lignocellulosic feedstock potential); the resulting soil properties; and …
Evaluating Split Timing Fertilizer Applications For Improving Bread Baking Quality Of Soft Red Winter Wheat In Kentucky, Ammar Al Zubade, Krista Jacobsen, Tim Phillips, Mark Williams, David Van Sanford
Evaluating Split Timing Fertilizer Applications For Improving Bread Baking Quality Of Soft Red Winter Wheat In Kentucky, Ammar Al Zubade, Krista Jacobsen, Tim Phillips, Mark Williams, David Van Sanford
Plant and Soil Sciences Graduate Research
There is growing interest among farmers to locally produce high protein and strong gluten wheat that is suitable for bread making and meet the demand of local artisanal bakers in Kentucky. The warm and humid weather in southeast region is ideal for soft red winter wheat (SRW) production which characterized by low protein content. The technique of splitting nitrogen (N) fertilization according to the growth stages has been suggested to improve protein content and its composition. This study evaluated the effect of split N application on yield and baking quality traits of two SRW wheat cultivars grown in the eastern …
How Much Margin Is Left For Degrading Agricultural Soils? The Coming Soil Crises, Maheteme Gebremedhin, Mark S. Coyne, Karamat R. Sistani
How Much Margin Is Left For Degrading Agricultural Soils? The Coming Soil Crises, Maheteme Gebremedhin, Mark S. Coyne, Karamat R. Sistani
Plant and Soil Sciences Faculty Publications
Agricultural soils are in peril. Multiple lines of observational and empirical evidence suggest that we are losing the world’s fertile soils at an alarming rate, worsening the on-going global food crisis. It is increasingly clear that the risk of soil crises driven by erratic precipitation, warming air, and farming mismanagement is coming sooner rather than later. At this critical time, society cannot avoid looking for ways to curb soil crises. We argue that now is the right time for science-based mitigation strategies and new insights to protect soils. We offer four research priority areas that society needs to address. Arresting …
Auxin/Cytokinin Antagonistic Control Of The Shoot/Root Growth Ratio And Its Relevance For Adaptation To Drought And Nutrient Deficiency Stresses, Jasmina Kurepa, Jan A. Smalle
Auxin/Cytokinin Antagonistic Control Of The Shoot/Root Growth Ratio And Its Relevance For Adaptation To Drought And Nutrient Deficiency Stresses, Jasmina Kurepa, Jan A. Smalle
Plant and Soil Sciences Faculty Publications
The hormones auxin and cytokinin regulate numerous aspects of plant development and often act as an antagonistic hormone pair. One of the more striking examples of the auxin/cytokinin antagonism involves regulation of the shoot/root growth ratio in which cytokinin promotes shoot and inhibits root growth, whereas auxin does the opposite. Control of the shoot/root growth ratio is essential for the survival of terrestrial plants because it allows growth adaptations to water and mineral nutrient availability in the soil. Because a decrease in shoot growth combined with an increase in root growth leads to survival under drought stress and nutrient limiting …
Soil Health – It's Not All Biology, Mark S. Coyne, E. M. Pena-Yewtukhiw, John H. Grove, A. C. Sant'anna, D. Mata-Padrino
Soil Health – It's Not All Biology, Mark S. Coyne, E. M. Pena-Yewtukhiw, John H. Grove, A. C. Sant'anna, D. Mata-Padrino
Plant and Soil Sciences Faculty Publications
Soil Health research tends to bias to a biology/microbiology emphasis. We believe this bias neglects important physical and chemical interactions in soil that are crucial to soil function. We offer several examples illustrating this bias, and how it may misrepresent management practices that have the greatest influence on Soil Health. Four suggestions are given as approaches to mitigate this bias. By appreciating soil structure as a foundation for Soil Health and its microbial community, we believe better recommendations can be made to assist the farm community in its stewardship of soil as a critical natural resource.
Automatic Segmentation Of Sinkholes Using A Convolutional Neural Network, Muhammad Usman Rafique, Junfeng Zhu, Nathan Jacobs
Automatic Segmentation Of Sinkholes Using A Convolutional Neural Network, Muhammad Usman Rafique, Junfeng Zhu, Nathan Jacobs
Faculty, Staff, and Affiliated Publications--KGS
Sinkholes are the most abundant surface features in karst areas worldwide. Understanding sinkhole occurrences and characteristics is critical for studying karst aquifers and mitigating sinkhole-related hazards. Most sinkholes appear on the land surface as depressions or cover collapses and are commonly mapped from elevation data, such as digital elevation models (DEMs). Existing methods for identifying sinkholes from DEMs often require two steps: locating surface depressions and separating sinkholes from non-sinkhole depressions. In this study, we explored deep learning to directly identify sinkholes from DEM data and aerial imagery. A key contribution of our study is an evaluation of various ways …
Geospatial Applications Of Cave Resource Data To Better Understand Epikarst And Unsaturated Zone Groundwater Flow Path Development, Sierra M. Heimel, Benjamin W. Tobin
Geospatial Applications Of Cave Resource Data To Better Understand Epikarst And Unsaturated Zone Groundwater Flow Path Development, Sierra M. Heimel, Benjamin W. Tobin
Faculty, Staff, and Affiliated Publications--KGS
The unsaturated zone is a critical component of karstic groundwater systems and is shown to provide substantial storage capacities. Understanding the spatial patterns and controls on flow path activation is often a challenge. Previous research focused on remotely sensed data or inferential analyses to quantify these patterns. Here, we use two cave systems—one in Arizona, USA and a second in Kentucky, USA—to show the value of the cave survey and inventory data in the direct observation of speleogenesis and unsaturated zone processes. Using geospatial statistical analyses, we show that passage size varies with distance from some faults, indicating that these …