-
Developing online training modules to support use of Google Earth Engine in...
Google Earth Engine (GEE) is a cloud-based platform that combines a catalog of satellite imagery and geospatial datasets with planetary-scale analysis capabilities. During GY19,... -
New HampshireView Fact Sheets
Yearly fact sheets that highlight the efforts and success of New HampshireView. -
UtahView Fact Sheets
Yearly fact sheets that highlight the efforts and success of UtahView. -
Multiuser GIS and Practical Workflow Replicability
Replicability and reproducibility (R&R) have always been core requirements of scientific research. Recently, cases of failure to replicate previously published findings have... -
Forest Type Differentiation Using GLAD Phenology Metrics, Land Surface...
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... -
Great Lakes Watersheds and Water Quality
A StoryMap-based lesson geared toward high school and community college audiences on watersheds and water quality in the Great Lakes region. -
AmericaView and its Landsat Connection
A highlight article by Russell G. Congalton, Roberta Lenczowski, Lisa Wirth, and Christopher McGinty published in Photographic Engineering & Remote Sensing in July 2022 that... -
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... -
Land Cover Change and Habitat Monitoring of Columbian Sharp- tailed Grouse...
Anthropogenic forces of land use and land cover change have affected Columbian Sharp-tailed grouse habitats in southeastern Idaho over the past century, with the assumption that... -
Unmanned Aircraft System (UAS) Photogrammetry for Tracking Streambank...
Excessive erosion and bank failure within river corridors pose a significant risk to infrastructure and natural systems and reliable characterization of bank erosion is a... -
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... -
GEE_2: Google Earth Engine Tutorial Pt. II
Clipping • How to clip a raster image to the extent of a vector polygon in order to speed up processing times as well to display only the imagery you want. -
Grassland Wildfires in the Southern Great Plains: Monitoring Ecological...
Devastating wildfires in Texas, Oklahoma, and Kansas in 2016 and 2017 resulted in significant social, economic, and environmental losses, with the agricultural sector among... -
Vine Water Status Mapping with Multispectral UAV imagery and Machine Learning
Optimizing water management has become one of the biggest challenges for grapevine growers in California, especially during drought conditions. Monitoring grapevine water status... -
OregonView Fact Sheets
Yearly fact sheets that highlight the efforts and success of OregonView. -
Georgia Image Atlas I: Urbanization: Poster Presentation at 2019 AAG Annual Meeting
As every corner of the world is affected by growing human population, the extent and rate of environmental changes are more dramatic than ever. To show the changes, this project... -
South Dakota Landsat 8 Imagery by County
Landsat 8 imagery for each of the counties in South Dakota is available for download in zipped format for various band combinations. The date of the 2014 imagery varies by... -
No-cost LANDSAT Data Redefines Student Research Projects In Applied Remote...
Students enrolled in an applied remote sensing class at University of Wyoming are required to complete a term research project. They have to apply the concepts learned... -
Applications of Small Unmanned Aircraft Systems Best Practices and Case Studies
Chapter 3: Multiuser Concepts and Workflow Replicability in sUAS Applications Jason A. Tullis, Katie Corcoran, Richard Ham, Bandana Kar, and Malcolm Williamson Advances in high... -
GEE_0: The Google Earth Engine Explorer
Training Classifiers, Supervised Classification and Error Assessment • How to add raster and vector data from the catalog in Google Earth Engine; • Train a classifier; • Perform...