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Full-Text Articles in Spatial Science

An Assessment Of Farmer Participation In The United States Department Of Agriculture, Natural Resources Conservation Services’ Conservation Technical Assistance Program In West Virginia, Matt D. Oliver Jan 2019

An Assessment Of Farmer Participation In The United States Department Of Agriculture, Natural Resources Conservation Services’ Conservation Technical Assistance Program In West Virginia, Matt D. Oliver

Graduate Theses, Dissertations, and Problem Reports

Food and fiber production on America’s farmlands have a major influence on the environment, therefore, soil and water conservation practices are critical. NRCS has provided no-fee technical assistance for nearly 100 years through the Conservation Technical Assistance (CTA) program. The CTA program is essential because it provides technical knowledge directly to farmers for planning and implementing conservation practices that are proven to benefit environmental health and on-farm production. CTA program funds support NRCS staff and training and are thereby the local service delivery vehicle for all NRCS programs. However, in recent years, funding for CTA has remained relatively constant while …


A Deep Dive Into The Land Development Dynamics Of A Complex Landscape, Pariya Pourmohammadi Jan 2019

A Deep Dive Into The Land Development Dynamics Of A Complex Landscape, Pariya Pourmohammadi

Graduate Theses, Dissertations, and Problem Reports

Land development is a complex and dynamic process simultaneously interacting with numerous environmental, cultural and economic procedures. In this research we studied past, present and future of land transformation in Appalachia. This dissertation is organized in three-essay format and each essay is focused on one aspect of land development processes in a sub-region in the Appalachian region. In the first essay, deep learning techniques are used to build predictive models for the land development. This study presets deconvolutional neural networks models in predicting land development. On the second essay, spatial data analysis and remote sensing are used to investigate the …


The Environmental, Social, And Economic Benefits Of Blue Green Infrastructure In An Urbanized Area, Joseph L. Oguns Jan 2019

The Environmental, Social, And Economic Benefits Of Blue Green Infrastructure In An Urbanized Area, Joseph L. Oguns

Graduate Theses, Dissertations, and Problem Reports

At present, it is evident that there is a shift from rural to an urban settlement which results in high demand for residential buildings and other urban infrastructure. Blue – Green Infrastructure (BGI) is a system of using blue (water) and green (nature) to address urban and environmental challenges. The purpose of this study is to evaluate the environmental, social, and economic benefits of blue-green infrastructure in an urbanized area in Pittsburgh, Pennsylvania, USA. The study involves the utilization of Geographic Information System (GIS) to determine water quality level resulting from nonpoint source pollution through acquiring elevation data; watershed; and …


Object-Based Supervised Machine Learning Regional-Scale Land-Cover Classification Using High Resolution Remotely Sensed Data, Christopher A. Ramezan Jan 2019

Object-Based Supervised Machine Learning Regional-Scale Land-Cover Classification Using High Resolution Remotely Sensed Data, Christopher A. Ramezan

Graduate Theses, Dissertations, and Problem Reports

High spatial resolution (HR) (1m – 5m) remotely sensed data in conjunction with supervised machine learning classification are commonly used to construct land-cover classifications. Despite the increasing availability of HR data, most studies investigating HR remotely sensed data and associated classification methods employ relatively small study areas. This work therefore drew on a 2,609 km2, regional-scale study in northeastern West Virginia, USA, to investigates a number of core aspects of HR land-cover supervised classification using machine learning. Issues explored include training sample selection, cross-validation parameter tuning, the choice of machine learning algorithm, training sample set size, and feature selection. A …


Multidimensional Analysis Of Vulnerability: Methodological Advances And A Case Study From Malawi., Park Mcmillan Muhonda Jan 2019

Multidimensional Analysis Of Vulnerability: Methodological Advances And A Case Study From Malawi., Park Mcmillan Muhonda

Graduate Theses, Dissertations, and Problem Reports

Since 1990s rural households in Malawi, constituting 85% of the population, have experienced deepening livelihood vulnerability, often manifested as persistent food insecurity. Livelihood crises have since been blamed on or attributed directly to weather perturbations/climatic shocks i.e. El-Nino induced climate variability/drought conditions. This study revealed that persistent livelihood crisis in rural Malawi cannot be attributed to or squarely blamed on weather shocks alone, rather it is at the intersection of various livelihoods shocks that rural livelihood vulnerability in Malawi is exacerbated i.e. worsening and deepening.

Thus, rural livelihood vulnerability to climate shocks in Malawi is manifest not in isolation but …