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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... -
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... -
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... -
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... -
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... -
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,...