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2nd Part MGL & Dialogo-GEOSAT Seminar

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Miriam Olivares

on 22 November 2014

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Transcript of 2nd Part MGL & Dialogo-GEOSAT Seminar

Current Access
Georeferencing
Web Mapping Services
Overview
Requirements
Sustainable approach
Scalability
Cost-effective
Internship style project
miriam olivares
sierra laddusaw
travis liska
mingde you
elvis takow
kathy weimer
miguel pavon
From archives to people's reach
Making Historic Aerials
Available Around the Clock
1
1
1
1
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2
3
1 Texas A&M University
2 NTCOG
3 TNRIS
Mission
Applicability
IN ORDER TO ENHANCE DATA UNDERSTANDING
Provide unlimited & intuitive access
to historic aerials
Researchers
Texas Citizens
World Users
Create preeminent collection of Brazos County aerial images
~5,000 frames from Texas A&M & TNRIS
1930s to 2010s
Coverage of Brazos County, Texas
R&D
expert consultation
georeferencing methods
web mapping services
Print outs available at the Map & GIS Library (MGL)
Need of a magnifier
User needs to locate frame # and generate a list
MGL staff needs to copy/paste/deliver data
Lessons Learned
Future considerations
Data one-click away
Promote use of data by simplification
Objective: Find out which common software is the most suitable for georeferencing historical aerial image collections.
Software: ArcGIS (10.x), ENVI (4.8), and ERDAS (9.2).
Criteria: Performance & cost.

Software Test*
* Subjective to staff member skills and preference

Efficient work flows
3 tool bars are easy to use
ArcGIS enables mouse wheel VS. mouse click
ArcGIS and ERDAS-image layer menu
ENVI-multiple windows/image
ERDAS and ENVI provide multiple resolution windows/image


Interface

Results from all software can maintain an average Root Mean Square Error (RMSE) below 15
For processing time, ArcGIS is the most efficient (subjective)
Flaw of ENVI: Black frame (need extra work to remove)

Georeference
Performance
Performance assessment:
ArcGIS >= ERDAS > ENVI -> ENVI is eliminated

Edge
Edge Matching
Expected long mosaicking process- need to pursue effective edge matching
ERDAS-automatically match neighboring images
ArcGIS-auto geoferencing to match edges

Edge Matching Comparison
SIMILAR

ArcGIS Output
ERDAS Output
Summary
Conclusion:
ArcGIS is recommended

Interface Assessment:
ArcGIS= ERDAS > ENVI
Goals:
Explore
various platforms
for hosting aerial images
Seamless
web-based platform for visualization
Delivery of aerials over different
time periods

Intuitive
and
reliable
interface for both GIS & non-GIS users

Web Portal
Search by location
Display images
Download images
Accessible
Platform Requirements
Recommendations
AOI selection by
current view
or
selection box
Cart or basket for multiple dowloads
Provide context with current basemap for image referencing
Compression options for large or multiple imagery
Open Source vs Proprietary
Questions?
sierra laddusaw
sladdusaw@library.tamu.edu

miriam olivares
olivares@tamu.edu

elvis takow
etakow@tamu.edu

mingde you
youmd@tamu.edu

World
Functional
Technical
Digest our scanned images
Out of the box tool for grid generation
Batch scripting for zipping multiple images
The Geospatial Approach: Bridging Science and Community Development
Mapping Social Justice: Using GIS to Support Decision-Making in the U.S.-Mexico Borderlands
Highlight opportunities and challenges
Meeting with High School students
Dr. Edelmiro Escamilla & Miriam Olivares
Analyzing perceptions of:
Construction Science as a college option
Construction Management as a profession
Illustrate distribution of income, big dollars in contracts and enrollment
Use GIS platform to promote an easier dialogue
weTable
Currently Experimenting with
Ubi and Kinect
Stay Tuned!
Thanks to:
Dialogo on the Border Steering Committee
Dr. Cecilia Giusti, CoA - LAUP
Dr. Edelmiro Escamilla, CoA - COSC
John Jacobs, Sea Grant & AgLife Extension (weTable)
Dialogo on the Border
Maps can be powerful to emphasize pressing challenges
Citizens, decision-makers and scientists can establish a dialogue
Maps simpler to decipher VS. lengthy documents
"Where is the Mayor? He needs to give us an explanation about the arsenic concentration"
-A concerned citizen
Brownsville
~120 participants: practitioners, scholars, NGOs, and HS students
Data Empower citizens
20+ Ground Control Points
3rd Order Polynomial
Platform
Search
Easy Access
Application
Establishing trust
Commitment to collaborate
Acquiring local knowledge
Exchanging ideas
Using GIS to plan expeditions
Predictions & Navigation Plan
Verification
Lessons Learned
Collaboration between NGOs, scientists and fishermen may fill government-function gaps
Local knowledge invaluable for prediction/verification program
Bathymetry + anecdotal information
Juxtaposition of fishermen knowledge + geomorphology based on scientific instruments - stronger predictions
GIS bridges all parts to generate a bigger outcome
A Fishermen Case Study: Predicting Reef Fish Spawning Aggregations
Fish spawning aggregations are shoals where fishes gather with the purpose to procreate
The conservation of reef fish spawning aggregations (FSAs) contributes to
sustainable marine ecosystems
and a
healthier economy
of the coastal communities.
Marine ecologists and conservation scientists have been working for decades on
characterizing
spawning aggregation sites for groupers and snappers, both commercially valuable and largely overfished, in the Meso-American Barrier Reef System (MBRS).
Prepping for Expedition
Available data
LandSat - looking for elbow shape
Bathymeyric maps
Area-specific Published papers
Maria Elena
Punta Herrero
Source: http://tcwp.tamu.edu/files/2012/06/TheweTablefactsheet-1011.pdf
Local Knowledge
Scuba Diving
Go Pro Monitoring
Getting there
2-hr drive AUS
2.5-hr Flight
6-hr Bus
2-hr Dirt Road
40-min Boat

Collecting Bathymetric Data
Eco sounder/Fish finder
Thanks to:
Dr. Will Heyman
Dr. Shin Kobara
COBI-Mexico
Fishermen Sian Ka´an Biosphere Reserve
Research Camp
Full transcript