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Supervised Classification
- 1. Supervised Classification Identifying MethamphetamineLocations in Denver Colorado By: Chad Yowler
- 2. Overview • Meth –“Methamphetamine (Also Called Meth, Crystal, Chalk, And Ice, Among Other Terms) Is An Extremely Addictive Stimulant Drug That Is Chemically Similar To Amphetamine” (National Institute On Drug Abuse, 2014) • Economic, Social, And Environmental Effects • In 2008 – 8810 Meth Lab Seizures • Rural Low Income Areas Have A Higher Incident Rate • Chemical Dumping Damages Vegetation, Water, And Has Negative Effects On Wildlife
- 3. Why Remote Sensing? •Can Identify Changes In Landuse/Vegetation The Human Eye Cant Detect • Aerial Imagery As A Supplement For Ground Truth • Quick Analysis Of Many Areas Through One Signature • Potential Predictive Capabilities
- 4. Method Used InOther Research • Jasper County Missouri • Highly Rural • Highest Percentage Meth Lab Seizures Per Capita • Used Supervised Classification To Identify Healthy and Unhealthy Vegetation Percentages • Compared Meth Sites To Control Sites • Statistically Significant Results Source: Hall, 2014
- 5. Applying The Methodto an Urban Setting • Denver-low amount of incidents • 23rd Largest City by Population • Highly Urban • Easy Access to Data and Statistics • 4 Meth Lab Locations in 2008 • Good Study Area Source: HomeFacts.com, 2015
- 6. Research Plan • Locate2008 Data • Meth Lab locations • ShapeFiles • Images • Process Data • Locate/Develop Study Regions • ERDAS Image Processing • Created Signature • Performed Supervised Classification • Subset Control And Study Regions • Performed Visual Analysis • Performed Statistical Analysis Source: Montana State University, 2014
- 7. Data Acquisition • DenverOpen Data Catalog • DEA: Drug Enforcement Agency • Yourmapper • Allowed For Export Into Google Earth • Earth Explorer • USGS: United States Geological Survey
- 8. Geoprocessing • Points WerePut Into KML Format From Google Earth • ArcMap Tool To Create Shapefile From A KML • Used Select By Attribute To Select Only 2008 Locations • Created New “2008methlab.Shp File”
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- 10. Create Signature • CreateNew AOI Layer • Raster->Supervised->Signature Layer • Select Pixels From Map->Merge- >Name->Assign Color Healthy(Green) Unhealthy(Red)
- 11. Clip Study Regions/PerformSupervised Classification • Create New AOI->Draw Polygon->Select Raster->Subset & Chip->From AOI • Supervised Classification->Maximum Likelihood Region A Region B
- 12. Visual Analysis • MethLabs • Not Meth Labs A B B A
- 13. Statistics Meth Lab A Healthy%: 46.67 Standard Deviation(s): .514 P-Value: .314 Meth Lab B Healthy%: 32.17 Standard Deviation(s): 1.597 P-Value: .085 •Based On The Supervised Classification Of The Meth Lab Locations There Was Not A Statistically Significant Identified Change In Healthy Vegetation Percentage • Lab B Was Better Identified Using The Signature • Nearly No Difference In Meth Lab A Compared To Control Sites • At 90% Confidence Interval Meth Lab B Would Meet Threshold Of Statistical Significance One Tailed T-Test Confidence Interval α=.05 σ = 13.367 x̄ = 53.527
- 14. Conclusion • A LotOf Assumptions Made • Selection Bias • Could Be Improved With Random Sampling • Image Quality Too Low To Identify Great Change In Vegetation At A Parcel Level • Works Better With Open Fields (Rural Areas) • Supervised Classification Can Identify Healthy And Unhealthy Vegetation • Difficult To Use For Identifying Meth Lab Locations In An Urban Setting • Study Could Be Improved With More Samples • Better Classification Can Be Done With More Time, Better Images, And A Larger Sample
- 15. Work Cited • (n.d.).Retrieved December 8, 2015, from http://forensic-applications.com/meth/DEA_Druglab_list.pdf • City Mayors: Largest 100 US cities. (n.d.). Retrieved December 8, 2015, from http://www.citymayors.com/gratis/uscities_100.html • Denver, CO Former Drug Labs Information and Locations. (n.d.). Retrieved December 8, 2015, from http://www.homefacts.com/methlabs/Colorado/Denver-County/Denver.html • Hall, M. (2014). EVALUATING THE POTENTIAL OF USING MULTISPECTRAL IMAGERY TO IDENTIFY AREAS OF METHAMPHETAMINE PRODUCTION IN JASPER COUNTY, MISSOURI. • Home. (n.d.). Retrieved December 8, 2015, from http://www.fs.fed.us/lei/dangers-meth-labs.php • Methamphetamine. (n.d.). Retrieved December 8, 2015, from http://www.drugabuse.gov/publications/drugfacts/methamphetamine • Spectral Imager. (n.d.). Retrieved December 8, 2015, from http://www.coe.montana.edu/ee/seniordesign/archive/FL10/tethered_balloon/index.html