Open Access. Powered by Scholars. Published by Universities.®
Physical Sciences and Mathematics Commons™
Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 2 of 2
Full-Text Articles in Physical Sciences and Mathematics
Rapid Response Tools And Datasets For Post-Fire Modeling: Linking Earth Observations And Process-Based Hydrological Models To Support Post-Fire Remediation, Mary Ellen Miller, Michael Billmire, William J. Elliot, K. A. Endsley, P. R. Robichaud
Rapid Response Tools And Datasets For Post-Fire Modeling: Linking Earth Observations And Process-Based Hydrological Models To Support Post-Fire Remediation, Mary Ellen Miller, Michael Billmire, William J. Elliot, K. A. Endsley, P. R. Robichaud
Michigan Tech Research Institute Publications
Preparation is key to utilizing Earth Observations and process-based models to support post-wildfire mitigation. Post-fire flooding and erosion can pose a serious threat to life, property and municipal water supplies. Increased runoff and sediment delivery due to the loss of surface cover and fire-induced changes in soil properties are of great concern. Remediation plans and treatments must be developed and implemented before the first major storms in order to be effective. One of the primary sources of information for making remediation decisions is a soil burn severity map derived from Earth Observation data (typically Landsat) that reflects fire induced changes …
Integrating Hands-On Undergraduate Research In An Applied Spatial Science Senior Level Capstone Course, David Kulhavy, Daniel Unger, I-Kuai Hung, David Douglass
Integrating Hands-On Undergraduate Research In An Applied Spatial Science Senior Level Capstone Course, David Kulhavy, Daniel Unger, I-Kuai Hung, David Douglass
Faculty Publications
A senior within a spatial science Ecological Planning capstone course designed an undergraduate research project to increase his spatial science expertise and to assess the hands-on instruction methodology employed within the Bachelor of Science in Spatial Science program at Stephen F Austin State University. The height of 30 building features estimated remotely with LiDAR data, within the Pictometry remotely sensed web-based interface, and in situ with a laser rangefinder were compared to actual building feature height measurements. A comparison of estimated height with actual height indicated that all three estimation techniques tested were unbiased estimators of height. An ANOVA, conducted …