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Social and Behavioral Sciences Commons™
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Full-Text Articles in Social and Behavioral Sciences
Student Led Area Measurement Assessments Using Virtual Globes And Pictometry Web-Based Interface Within An Undergraduate Spatial Science Curriculum, David Kulhavy, I-Kuai Hung, Daniel Unger, Yanli Zhang
Student Led Area Measurement Assessments Using Virtual Globes And Pictometry Web-Based Interface Within An Undergraduate Spatial Science Curriculum, David Kulhavy, I-Kuai Hung, Daniel Unger, Yanli Zhang
Faculty Publications
The use of Virtual Globes and Pictometry continues to expand and develop in undergraduate spatial science education. Spatial science undergraduates measured the area of 30 rectangles on the earth’s surface and compared them to Pictometry hyperspectral imagery measurements within a web-based interface and the Google Earth interface compared to ArcGIS Explorer, Map Developers and ArcMap using the ArcMap 10.5.2 interface. An analysis of variance of the absolute mean area errors (p-value of 0.009271) concluded the accuracy of the five area measurements were statistically different at the 95% confidence interval. A Tukey pair-wise test found that the Pictometry and Google Earth …
Integrating Unmanned Aircraft Systems To Measure Linear And Areal Features Into Undergraduate Forestry Education, Reid Viegut, David Kulhavy, Daniel Unger, I-Kuai Hung, Brian Humphreys
Integrating Unmanned Aircraft Systems To Measure Linear And Areal Features Into Undergraduate Forestry Education, Reid Viegut, David Kulhavy, Daniel Unger, I-Kuai Hung, Brian Humphreys
Faculty Publications
The use of Unmanned Aircraft Systems (UAS) in undergraduate forestry education continues to expand and develop. Accuracy of data collection is an important aspect of preparation for "society-ready" foresters to meet the complex sustainable environment managing for ecological, social and economic interests. Hands-on use of a DJI Phantom 4 Pro UAS by undergraduates to measure the length and area of 30 linear features and areal features on Earth's surface were estimated. These measurements were compared (measured within the ArcMap 10.5.2 interface) to hyperspectral Pictometry imagery measured on the web-based interface and the Google Earth Pro interface. Each remotely estimated measurement …
Accuracy Assessment Of Land Cover Maps Derived From Multiple Data Sources, Daniel Unger, Hillary Tribby, Hans Michael Williams, I-Kuai Hung
Accuracy Assessment Of Land Cover Maps Derived From Multiple Data Sources, Daniel Unger, Hillary Tribby, Hans Michael Williams, I-Kuai Hung
Faculty Publications
Maximum Likelihood (ML) and Artificial Neural Network (ANN) supervised classification methods were used to demarcate land cover types within IKONOS and Landsat ETM+ imagery. Three additional data sources were integrated into the classification process: Canopy Height Model (CHM), Digital Terrain Model (DTM) and Thermal data. Both the CHM and DTM were derived from multiple return small footprint LIDAR. Forty maps were created and assessed for overall map accuracy, user's accuracy, producer's accuracy, kappa statistic and Z statistic using classification schemes from U.S.G.S. 1976 levels 1 and 2 and T.G.l.C. 1999 levels 2 and 4. Results for overall accuracy of land …