Visualizing Land Use Changes in Brevard County, Florida: Historic Images Analysis

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Visualizing Land Use Changes based
on Historic Images of
Brevard County, Florida
Marnie Sippel,  MGIS Candidate
Penn State University GEOG 596A
May 5, 2014
Advisor: Dr. Jay Parrish
Capstone Presentation Overview
Project Objective
Study Area
Historic Aerial Photo Sources & Years
Research of Potential Software for the County
Methodology for determining Land Use Changes
Project Challenges
Web Deployment
Project Timeline
2
Project Objectives
Research potential software for Brevard County to utilize on
County-wide historic aerial project and make a recommendation for
the software.
Test potential software on small study area (6 x 6 miles).
Produce a user guide to be used by other county GIS volunteers to
develop countywide historic aerial layers.
Manually determine land change usage from 1943 to 2007 for my
study area. (1943, 1969, 1983, 2007)
3
Study Area
4
Study Area
Source: Brevard County Property
Appraiser Office   
https://www.bcpao.us/
5
Study Area
6
Historic Aerial Photos Sources/Years
1943 – University of Florida
1958 – University of Florida
1969 – University of Florida
1979 – University of Florida
1983 - Florida Department of Transportation
1993 - Florida Department of Transportation
2007 – Brevard County
2012 - Florida Department of Transportation
7
University of Florida
Flight Path Map with link to Photo
8
Florida Dept of Transportation
Thankfully, FTP downloads with Township
and Range numbers are available by request
9
Research of Potential Software
ESRI - ArcMap
Exelis - ENVI
Intergraph - ERDAS Imagine
Clark University- IDRISI
PCI GeoMatics – Historic Airphoto Processing
Blue Marble - Global Mapper
10
ArcMap Automatic Georeferencing
11
ArcMap - Manual Georeferencing
At least 12
control
points
12
Flight Path Overlap
13
Multiple
 Photos
Needed for Study Area
ArcMap Workflow
14
For each of the selected 7 years:
1.
Clip Photos
2.
Georeference photos for study area
3.
Mosaic photos into one file per year
Land Use Analysis for 4 years (1943, 1969, 1983, 2007):
1.
Digitize each land use type
2.
Assign land use type as an attribute
3.
Dissolve feature class per year based on classification
4.
Summarize land classification types per year
5.
Determine percent change from decade to decade
Methodology for determining
Land Use Change
Manual Classification of digitized polygons
Personal judgment/bias
Scale and Accuracy of digitization process
Classifications:
1.
Developed Land 
– residential, streets, industrial,
non-natural areas
2.
UnDeveloped Land 
– green areas, natural areas
3.
Water
 – man-made or natural bodies of water that
are not the river
4.
River
15
Final ArcMap
16
1969
2007
1969
Developed Land = 13%
Undeveloped Land = 86%
Inland Water = 1%
2007
Developed Land = 20%
Undeveloped Land = 64%
Inland Water = 16%
Better Workflow?
Exelis - ENVI
Intergraph - ERDAS Imagine
Clark University- IDRISI
PCI GeoMatics – Historic Airphoto Processing
Blue Marble - Global Mapper
……that is the question.
17
Project Challenges
An enormous amount of manual labor to georeference
the whole county for each year.
Quality Control and Assurance of digitization process.
Bias when visually digitizing land use.
Enlist students/volunteers to assist with digitization
process on 3 tiles in each time period.  Compare
differences in classification to assess accuracy of
classification levels.
Are Orthorectified photos necessary?
18
Web Deployment
Publish map service and deploy through
ArcGIS Server on EC2 as a tiled cache.
Use ArcGIS Viewer for Flex to create online
map.
Include Time Slide bar for users to change
photo images by year.
19
Anticipated Results
A paper that supports the recommendation of software
for the Brevard County historic aerial photo project.
Development of a “user-manual” for County volunteers
to continue the historic aerial photo project.
Development of a sample website to demonstrate to the
County the potential visualization of land use changes.
Land Use Analysis: expectation of seeing a significant
increase in developed land from 1943 to 2012.
20
Project Timeline
May
Test/Analyze
Software options
June
Georeference photos
of study area for each
time period
July
Manual Classification
of study area
August
Analysis of Land
Change
Deploy website with
disclaimers
Develop User’s Guide
September/October
Presentation
21
Presentation Possibilities
Central Florida GIS Workshop  Sept 15 – 16, 2014
Orlando, FL
Abstract Due:  July 1
South Florida GIS Expo Oct 2 -3, 2014
West Palm Beach, FL
Abstract Due:  date not published yet
Applied Geography Conference Oct 15 – 17, 2014
Atlanta, GA
 Abstract Due:  June 6
22
Acknowledgements
Dr. Jay Parrish, Advisor
Brevard County Dept of Natural Resources, FL
23
Sources
24
Brevard County Department of Natural Resources (2014).
http://www.brevardcounty.us/NaturalResources/Home
Brevard County Property Appraiser (2014). 
https://www.bcpao.us/
DiBiase, David (2014). GEOG 482: Nature of Geographic Information. Chapter 8, pg. 19. 
Classifying
Landsat Data for the National Land Cover Dataset
.   Retrieved from 
https://www.e-
education.psu.edu/natureofgeoinfo/c8_p19.html
ESRI ArcGIS Resources. (2012, June 20). 
How time is supported in spatial data
. Retrieved from:
http://resources.arcgis.com/en/help/main/10.1/index.html#/How_time_is_supported_in_spatial_data
/005z00000004000000/
ESRI ArcGIS Resources. (2013, Dec 17).  
ArcGIS Viewer for Flex. 
Retrieved from:
http://resources.arcgis.com/en/help/flex-viewer/concepts/index.html#//01m30000003n000000
ESRI Video. (2014). 
Improved Georeferencing Workflows in ArcGIS 10.1
. Retrieved from:
http://video.esri.com/watch/1924/improved-georeferencing-workflows-in-arcgis-101
Florida Department of Transportation. (1996 – 2014). 
 Surveying & Mapping, Get Aerials.  
Data
Retrieved from: 
http://www.dot.state.fl.us/surveyingandmapping/aerial_get.shtm
Sources
25
Florida Geographic Data Library. (2014) 
FGDL Metadata Explorer: Search & Download Data.  
Retreived
from: 
http://www.fgdl.org/metadataexplorer/explorer.jsp
Multi-Resolution Land Characteristics Consortium (2014, Apr 11). 
National Land Cover Database 2011. 
Retrieved from: 
http://www.mrlc.gov/nlcd11_leg.php
University of Florida, George A Smathers Libraries (2004 – 2013).  
Aerial Photography: Florida, Flights
By County
. Data Retrieved from: 
http://ufdc.ufl.edu/aerials/all/table
USGS (1976). Anderson, et. al. Geological Survey Professional Paper 964.  
A Land Use and Land Cover
Classification System For Use with Remote Sensor Data.  
Retrieved from:
http://landcover.usgs.gov/pdf/anderson.pdf
USGS Land Cover Institute (2012, Dec). 
NLCD Land Cover Class Definitions. 
Retrieved from:
http://landcover.usgs.gov/classes.php
Potential Software:
ESRI- 
http://www.esri.com/
ENVI - 
https://www.exelisvis.com/ProductsServices/ENVI/ENVI.aspx
ERDAS Imagine - 
http://www.hexagongeospatial.com/products/ERDAS-IMAGINE/Details.aspx
IDRISI - 
http://www.clarklabs.org/
PCI GeoMatics HAP - 
http://www.pcigeomatics.com/software/production-workflows
Global Mapper - 
http://www.bluemarblegeo.com/products/global-mapper.php
Questions
26
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Explore a fascinating project by Marnie Sippel, a Penn State University MGIS candidate, focusing on visualizing land use changes in Brevard County, Florida. The project involves studying historic aerial photos from various sources, researching software for analysis, and documenting changes in land use over different time periods. Through detailed analyses and mapping, this project aims to provide valuable insights into the evolving landscape of the county.

  • Land Use Changes
  • Brevard County
  • Florida
  • Historic Images Analysis
  • GIS

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  1. Visualizing Land Use Changes based on Historic Images of Brevard County, Florida Marnie Sippel, MGIS Candidate Penn State University GEOG 596A May 5, 2014 Advisor: Dr. Jay Parrish

  2. 2 Capstone Presentation Overview Project Objective Study Area Historic Aerial Photo Sources & Years Research of Potential Software for the County Methodology for determining Land Use Changes Project Challenges Web Deployment Project Timeline

  3. 3 Project Objectives Research potential software for Brevard County to utilize on County-wide historic aerial project and make a recommendation for the software. Test potential software on small study area (6 x 6 miles). Produce a user guide to be used by other county GIS volunteers to develop countywide historic aerial layers. Manually determine land change usage from 1943 to 2007 for my study area. (1943, 1969, 1983, 2007)

  4. 4 Study Area

  5. 5 Study Area Source: Brevard County Property Appraiser Office https://www.bcpao.us/

  6. 6 Study Area

  7. 7 Historic Aerial Photos Sources/Years 1943 University of Florida 1958 University of Florida 1969 University of Florida 1979 University of Florida 1983 - Florida Department of Transportation 1993 - Florida Department of Transportation 2007 Brevard County 2012 - Florida Department of Transportation

  8. 8 University of Florida Flight Path Map with link to Photo

  9. 9 Florida Dept of Transportation Thankfully, FTP downloads with Township and Range numbers are available by request

  10. 10 Research of Potential Software ESRI - ArcMap Exelis - ENVI Intergraph - ERDAS Imagine Clark University- IDRISI PCI GeoMatics Historic Airphoto Processing Blue Marble - Global Mapper

  11. 11 ArcMap Automatic Georeferencing

  12. 12 ArcMap - Manual Georeferencing At least 12 control points

  13. 13 Flight Path Overlap Multiple Photos Needed for Study Area

  14. 14 ArcMap Workflow For each of the selected 7 years: 1. Clip Photos 2. Georeference photos for study area 3. Mosaic photos into one file per year Land Use Analysis for 4 years (1943, 1969, 1983, 2007): 1. Digitize each land use type 2. Assign land use type as an attribute 3. Dissolve feature class per year based on classification 4. Summarize land classification types per year 5. Determine percent change from decade to decade

  15. 15 Methodology for determining Land Use Change Manual Classification of digitized polygons Personal judgment/bias Scale and Accuracy of digitization process Classifications: 1.Developed Land residential, streets, industrial, non-natural areas 2.UnDeveloped Land green areas, natural areas 3.Water man-made or natural bodies of water that are not the river 4.River

  16. 16 Final ArcMap 1969 Developed Land = 13% Undeveloped Land = 86% Inland Water = 1% 2007 Developed Land = 20% Undeveloped Land = 64% Inland Water = 16% 1969 2007

  17. 17 Better Workflow? Exelis - ENVI Intergraph - ERDAS Imagine Clark University- IDRISI PCI GeoMatics Historic Airphoto Processing Blue Marble - Global Mapper that is the question.

  18. 18 Project Challenges An enormous amount of manual labor to georeference the whole county for each year. Quality Control and Assurance of digitization process. Bias when visually digitizing land use. Enlist students/volunteers to assist with digitization process on 3 tiles in each time period. Compare differences in classification to assess accuracy of classification levels. Are Orthorectified photos necessary?

  19. 19 Web Deployment Publish map service and deploy through ArcGIS Server on EC2 as a tiled cache. Use ArcGIS Viewer for Flex to create online map. Include Time Slide bar for users to change photo images by year.

  20. 20 Anticipated Results A paper that supports the recommendation of software for the Brevard County historic aerial photo project. Development of a user-manual for County volunteers to continue the historic aerial photo project. Development of a sample website to demonstrate to the County the potential visualization of land use changes. Land Use Analysis: expectation of seeing a significant increase in developed land from 1943 to 2012.

  21. 21 Project Timeline May Test/Analyze Software options June Georeference photos of study area for each time period July Manual Classification of study area August Analysis of Land Change Deploy website with disclaimers Develop User s Guide September/October Presentation

  22. 22 Presentation Possibilities Central Florida GIS Workshop Sept 15 16, 2014 Orlando, FL Abstract Due: July 1 South Florida GIS Expo Oct 2 -3, 2014 West Palm Beach, FL Abstract Due: date not published yet Applied Geography Conference Oct 15 17, 2014 Atlanta, GA Abstract Due: June 6

  23. 23 Acknowledgements Dr. Jay Parrish, Advisor Brevard County Dept of Natural Resources, FL

  24. 24 Sources Brevard County Department of Natural Resources (2014). http://www.brevardcounty.us/NaturalResources/Home Brevard County Property Appraiser (2014). https://www.bcpao.us/ DiBiase, David (2014). GEOG 482: Nature of Geographic Information. Chapter 8, pg. 19. Classifying Landsat Data for the National Land Cover Dataset. Retrieved from https://www.e- education.psu.edu/natureofgeoinfo/c8_p19.html ESRI ArcGIS Resources. (2012, June 20). How time is supported in spatial data. Retrieved from: http://resources.arcgis.com/en/help/main/10.1/index.html#/How_time_is_supported_in_spatial_data /005z00000004000000/ ESRI ArcGIS Resources. (2013, Dec 17). ArcGIS Viewer for Flex. Retrieved from: http://resources.arcgis.com/en/help/flex-viewer/concepts/index.html#//01m30000003n000000 ESRI Video. (2014). Improved Georeferencing Workflows in ArcGIS 10.1. Retrieved from: http://video.esri.com/watch/1924/improved-georeferencing-workflows-in-arcgis-101 Florida Department of Transportation. (1996 2014). Surveying & Mapping, Get Aerials. Data Retrieved from: http://www.dot.state.fl.us/surveyingandmapping/aerial_get.shtm

  25. 25 Sources Florida Geographic Data Library. (2014) FGDL Metadata Explorer: Search & Download Data. Retreived from: http://www.fgdl.org/metadataexplorer/explorer.jsp Multi-Resolution Land Characteristics Consortium (2014, Apr 11). National Land Cover Database 2011. Retrieved from: http://www.mrlc.gov/nlcd11_leg.php University of Florida, George A Smathers Libraries (2004 2013). Aerial Photography: Florida, Flights By County. Data Retrieved from: http://ufdc.ufl.edu/aerials/all/table USGS (1976). Anderson, et. al. Geological Survey Professional Paper 964. A Land Use and Land Cover Classification System For Use with Remote Sensor Data. Retrieved from: http://landcover.usgs.gov/pdf/anderson.pdf USGS Land Cover Institute (2012, Dec). NLCD Land Cover Class Definitions. Retrieved from: http://landcover.usgs.gov/classes.php Potential Software: ESRI- http://www.esri.com/ ENVI - https://www.exelisvis.com/ProductsServices/ENVI/ENVI.aspx ERDAS Imagine - http://www.hexagongeospatial.com/products/ERDAS-IMAGINE/Details.aspx IDRISI - http://www.clarklabs.org/ PCI GeoMatics HAP - http://www.pcigeomatics.com/software/production-workflows Global Mapper - http://www.bluemarblegeo.com/products/global-mapper.php

  26. 26 Questions

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