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Custom Python Tool using UAS to aid in Search and Rescue
in Hays County Texas
Aaron Schroeder
Geographical Traditions
• Spatial Tradition
• Utilizing distance, space, and direction
• Modern computer technology allows for this analysis
Relevant Literature
• Zeiler : Modeling our World
• Allowed for key Python Scripting examples
• Best : Geospatial web services within a scientific workflow: Predicting marine mammal habitats in a dynamic environment
• Relatable workflow using a custom tool
Data source & problems
• National Land Cover Data - USGS
• National Elevation Dataset – USGS
• 30m elevation data is not the most accurate but it is the only publicly available data for the whole US.
• Aeiral Imagery – RP Flight Systems
Background in Search & Rescue
• Search and Rescue teams have just recently implemented UAS
• Past searches have relied solely on ground search teams
• Helicopters are expensive to use
• There is a lot of waiting time for searchers due to lack of terrain intel
Study area• The tool will allow an input of a polygon feature class which
will be the AOI
• This allows for the study area to be anywhere
• Specifically we are practicing on a location in Hays County Texas
Data flow model
Data flow model
Data flow model
Data flow model
Methods
• Custom tool interface
• Extract by mask tool
• Reclassify tool
• Path Distance tool
Results
• The resulting output raster from the custom python script will display locations a person is most likely to traverse from a last known location
• We are also working on implementing a time factor into the equation which will allow us to split the area into different zones representing the likely distance traveled in a certain amount of time
References
• Zeiler, M., Murphy, J. Modeling Our World: The ESRI Guide to Geodatabase Concepts. 2nd ed. Redlands, CA: ESRI, 2010. Print.