tracking ice flow in two greenland outlet glaciers michael jefferson jr. elizabeth city state...
TRANSCRIPT
Tracking Ice Flow in Two Greenland Outlet GlaciersTracking Ice Flow in Two Greenland Outlet Glaciers
Michael Jefferson Jr.Elizabeth City State UniversityResearch & Discover Summer 2010
Mentor: Mark Fahnestock
Michael Jefferson Jr.Elizabeth City State UniversityResearch & Discover Summer 2010
Mentor: Mark Fahnestock
ObjectivesObjectives
• To identify the best pairs of files to investigate ice flow– There has to be a pair of images in order to see a change in the data
• Create a new program to process the images
• Gather the images and process them with the appropriate parameters
• Compare findings from each of the processed image pairs
• To identify the best pairs of files to investigate ice flow– There has to be a pair of images in order to see a change in the data
• Create a new program to process the images
• Gather the images and process them with the appropriate parameters
• Compare findings from each of the processed image pairs
Glaciers and Remote SensingGlaciers and Remote Sensing
• The Landsat 7 satellite orbits the earth and takes pictures of earth’s features
• The data collected by this satellite was used in my research
• The Landsat 7 satellite orbits the earth and takes pictures of earth’s features
• The data collected by this satellite was used in my research
LocationLocation
Nunatakavsaup Sermia(NKS)
• Latitude(74.6) ,Longitude( -56.0)
•The distance was 1300 km between the two glaciers
Selecting Image filesSelecting Image files
• Files where downloaded from the United States Geological Survey (USGS) GLObal VISsualization Viewer (GLOVIS) website
• There were many images with too much cloud cover– If clouds cover features then the changes can not be tracked
• 2004, 2005, 2007 used for KNS
• 2001, 2002, 2005, 2010 used for NKS
• Files where downloaded from the United States Geological Survey (USGS) GLObal VISsualization Viewer (GLOVIS) website
• There were many images with too much cloud cover– If clouds cover features then the changes can not be tracked
• 2004, 2005, 2007 used for KNS
• 2001, 2002, 2005, 2010 used for NKS
The ProgramThe Program
• To track features a program was used – The idea of tracking glaciers through pairs of images was developed 20 years ago• Dr. Bob Bindschalder and Dr. Ted Scambos
• Dr. Mark Fahnestock wrote the program– Restrictions: Only output the changes for one iteration over a single image
• To track features a program was used – The idea of tracking glaciers through pairs of images was developed 20 years ago• Dr. Bob Bindschalder and Dr. Ted Scambos
• Dr. Mark Fahnestock wrote the program– Restrictions: Only output the changes for one iteration over a single image
The Program(Cont’d)The Program(Cont’d)
• The program works by reading a line from a .txt file– A text file includes the two images and the geographic locations where the moving should be present
• The program works by reading a line from a .txt file– A text file includes the two images and the geographic locations where the moving should be present
Program IterationProgram Iteration
• Example of a single point of an iteration
• Describes the correlation over the source and destination
• The closer to the color red means the more “good” unique points
• Example of a single point of an iteration
• Describes the correlation over the source and destination
• The closer to the color red means the more “good” unique points
Creating a New ProgramCreating a New Program
• The previous program only ran one set of iterations per image
• Not all sections of the image had distinct features
• Not all images were 100% cloud free
• A new program was created to display more than one
iteration on a single image
• The previous program only ran one set of iterations per image
• Not all sections of the image had distinct features
• Not all images were 100% cloud free
• A new program was created to display more than one
iteration on a single image
Pic of one iteration
New Program: Multi-Velocity
New Program: Multi-Velocity
• Display multiple iterations with different parameters
• Display the average velocity of the “good points”
• Good points were the iteration points that had a unique correlation surface values over a specified amount
• Display multiple iterations with different parameters
• Display the average velocity of the “good points”
• Good points were the iteration points that had a unique correlation surface values over a specified amount
Output from New Program
Output from New Program
Green Plus- Best Correlation
Red Hexagon - Worst Correlation
2003-20052003-2005
•In years there was a large Ice front retreat this is what drove the large change in velocity over the years
•Figure by: Ryan Cassotto
20052006200720082009
20002001200220032004
Results for KNSResults for KNS
Around 1 to 1.5 Km from the ice front my data was approximately the same through the years
ConclusionConclusion
• There was a large change in velocity in the northern glacier NKS during the years of 2002-2005
• There was no apparent changes in the southernmost glacier KNS
• There was a large change in velocity in the northern glacier NKS during the years of 2002-2005
• There was no apparent changes in the southernmost glacier KNS
Future WorkFuture Work
• Research more glaciers to investigate more velocity changes using satellite data
• Change the program to be more efficient to run on larger collections of data
• Research more glaciers to investigate more velocity changes using satellite data
• Change the program to be more efficient to run on larger collections of data
AcknowledgementsAcknowledgements
• Dr. George Hurtt(Research & Discover)
• Dr. Mark Fahnestock (UNH Researcher)
• USGS GLOVIS (Image Database)• Ryan Cassotto(Graduate Student)• Stephen Hale(UNH Professor)
• Dr. George Hurtt(Research & Discover)
• Dr. Mark Fahnestock (UNH Researcher)
• USGS GLOVIS (Image Database)• Ryan Cassotto(Graduate Student)• Stephen Hale(UNH Professor)