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West VirginiaView Factsheets
Yearly factsheets that highlight the efforts and success of West VirginiaView. -
Enhancing Reproducibility and Replicability in Remote Sensing Deep Learning R...
Many issues can reduce the reproducibility and replicability of deep learning (DL) research and application in remote sensing, including the complexity and customizability of... -
Forest Type Differentiation Using GLAD Phenology Metrics, Land Surface Parame...
This study investigates the mapping of forest community types for the entire state of West Virginia, United States, using Global Land Analysis and Discovery (GLAD) Phenology... -
Methods in Open Science
The primary goal of this course is to explore methods that scientists and analysts use to process, explore, and analyze data; document, present, and communicate results; and... -
Digital Cartography
Cartography is the knowledge associated with the art, science, and technology of maps. Maps portray spatial relationships among selected phenomena of interest and increasingly... -
Remote Sensing
This course explores the theory, technology, and applications of remote sensing. It is designed for individuals with an interest in GIS and geospatial science who have no prior... -
Open-Source Spatial Analytics (R)
In this course, you will learn to work within the free and open-source R environment with a specific focus on working with and analyzing geospatial data. We will cover a wide... -
GIScience
In this course, you will explore the concepts, principles, and practices of acquiring, storing, analyzing, displaying, and using geospatial data. Additionally, you will... -
Client-Side Web GIS
The World Wide Web has become a valuable means to display, collect, and share geospatial data and maps. This course will explore the use of web technologies for developing web... -
Open-Source GIScience Online Course
In this course, you will explore a variety of open-source technologies for working with geosptial data, performing spatial analysis, and undertaking general data science. The... -
Geospatial Deep Learning Seminar Online Course
This seminar is an applied study of deep learning methods for extracting information from geospatial data, such as aerial imagery, multispectral imagery, digital terrain data,... -
Open Source Workforce Development Training Courses
This course series was created by AmericaView and West Virginia View to support workforce development training at the United States Geological Survey (USGS). The first two... -
Is high spatial resolution DEM data necessary for mapping palustrine wetlands?
Digital elevation models (DEMs) have been found to be an effective data source for automated mapping of wetlands. However, it is unclear whether high spatial resolution DEMs,... -
Large-Area, High Spatial Resolution Land Cover Mapping Using Random Forests, ...
Despite the need for quality land cover information, large-area, high spatial resolution land cover mapping has proven to be a difficult task for a variety of reasons including... -
Thematic Classification Accuracy Assessment with Inherently Uncertain Boundar...
Accuracy assessment is one of the most important components of both applied and research-oriented remote sensing projects. For mapped classes that have sharp and easily... -
Mapping the Topographic Features of Mining-Related Valley Fills Using Mask R-...
Modern elevation-determining remote sensing technologies such as light-detection and ranging (LiDAR) produce a wealth of topographic information that is increasingly being used...