Upload
zena
View
29
Download
0
Tags:
Embed Size (px)
DESCRIPTION
Cassie Tamblyn Gainesville State College Fall 2012. Multi-Sensor Land Cover Mapping Using GEOBIA and Exploring E. Coli Correlations. OBJECTIVE. - PowerPoint PPT Presentation
Citation preview
Multi-Sensor Land CoverMapping Using GEOBIA and Exploring E. Coli Correlations
Cassie TamblynGainesville State CollegeFall 2012
OBJECTIVE Use geographical object based
image analysis (GEOBIA) to determine if there is a correlation between land cover classification and E. coli levels within the Flat Creek Watershed and its subwatersheds
BACKGROUND GEO-Object Based Image Analysis
Looks at images as groups of objects rather than pixels
More like how we see imagesCan use many layers to delineate objectsYields more accurate results (when applied
properly) E. Coli contamination
Easy way to measure fecal contamination100 cfu’s allowed during spring months for
fishing waters
DATA USED 15 LiDAR tiles (1.5m posts), 2010 42 CIR tiles (0.1524m spatial
resolution), 2010 Flat Creek watershed boundary &
subwatershed boundary shapefiles (created using ArcHydro)
E. Coli measurements during March & April 2012 (from Upper Chattahoochee Riverkeepers)
SOFTWARE USED ArcHydro
Delineate watershed Quick Terrain Modeler
Create nDSM (DSM-DEM) ERDAS Imagine
Mosaic imagery eCognition Developer
Develop and process rule set ArcMap
Develop Map Layout
AREA OF INTEREST Flat Creek Watershed (divided into 5
subwatersheds) Total area = 20,000,000 m2
Flat Creek starts in Gainesville and flows in a southwesterly direction to Lake Lanier
One of the most impacted streams of Georgia Most of land within watershed is covered by
impervious surfaces Industrial district contains chicken processing
plants and other factories Some agricultural land
AOI
RULE SET
POST PROCESSING RULE SET After processing entire AOI on the
server & merging the data again….
RESULTSArea by Land Classification for Flat Creek Watershed:Class Pixels Area (sq m) Percent of TotalBuildings 8.506E+07 1.976E+06 9.95Grass 1.399E+08 3.250E+06 16.37Trees 1.673E+08 3.885E+06 19.56Impervious 4.627E+08 1.075E+07 54.12Total 8.550E+08 1.986E+07 100.00
RESULTS for SUBWATERSHEDSArea by Land Classification for Each Subwatershed:
Class Pixels Area (sq m) Percent of Total E. Coli (cfu)Buildings 2.267E+07 5.266E+05 7.33 50Grass 6.051E+07 1.405E+06 19.57 155Trees 8.068E+07 1.874E+06 26.09 50Impervious 1.454E+08 3.376E+06 47.01 100Total 3.092E+08 7.182E+06 100.00 88.75
Subwatershed 1 (Southern/Old Flowery Branch Rd.)
Class Pixels Area (sq m) Percent of Total E. Coli (cfu)Buildings 1.762E+07 4.093E+05 9.68 155Grass 2.731E+07 6.342E+05 14.99 995Trees 4.328E+07 1.005E+06 23.76 260Impervious 9.392E+07 2.181E+06 51.57 310Total 1.821E+08 4.230E+06 100.00 430
Subwatershed 2 (Western/Dixie Dr.)
Class Pixels Area (sq m) Percent of Total E. Coli (cfu)Buildings 3.616E+07 8.398E+05 12.03 625Grass 3.506E+07 8.143E+05 11.66 730Trees 5.164E+07 1.199E+06 17.18 600Impervious 1.777E+08 4.128E+06 59.13 610Total 3.006E+08 6.981E+06 100.00 641.25
Subwatershed 3 (Northern/Atlanta Hwy.)
Class Pixels Area (sq m) Percent of Total E. Coli (cfu)Buildings 6.883E+06 1.599E+05 5.57 375Grass 1.657E+07 3.849E+05 13.42 995Trees 1.821E+07 4.229E+05 14.74 610Impervious 8.187E+07 1.902E+06 66.27 1460Total 1.235E+08 2.869E+06 100.00 860
Subwatershed 4 (Eastern/Dorsey St.)
Class Pixels Area (sq m) Percent of Total E. Coli (cfu)Buildings 4.201E+06 9.757E+04 7.22 2500Grass 9.452E+06 2.195E+05 16.25 605Trees 1.299E+07 3.017E+05 22.33 260Impervious 3.153E+07 7.323E+05 54.20 3105Total 5.817E+07 1.351E+06 100.00 1617.5
Subwatershed 5 (Central/Industrial Hwy.)
CORRELATION?
0 200 400 600 800 1000 1200 1400 1600 18000.00
10.00
20.00
30.00
40.00
50.00
60.00
70.00
E. coli (cfu) vs. Percent Impervious
Percent Impervious
CORRELATION, cont.
0 200 400 600 800 1000 1200 1400 1600 18000
5
10
15
20
25
E. coli (cfu) vs. Percent Grass
Percent Grass
ANALYSIS No correlation was found by this
assay in this watershed No manual editing was done which
may improve accuracy which could in turn improve correlation
Point sources could be added to correlation factor
Questions? Thank you!