IFSAR and terrestrial LIDAR for vegetation study in Sonora, Texas

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Presentation transcript:

IFSAR and terrestrial LIDAR for vegetation study in Sonora, Texas Created for GIS in Water Resources 2013 by Kendall Ernst

Agenda Background Method and Results Future Work Acknowledgments Questions

Background Purpose: improve existing carbon biomass estimation techniques by applying higher resolution remote sensing data Furthering current methods Broader impacts for developing countries through the UN Collabrative Programme on Reducing Emissions from Deforestation and Forest Degredation in Developing Countries (UN-REDD) Research team at Texas A&M and UT Knoxville Image source: http://storiesrhymesandsingalongtimes.blogspot.com

Background Study Site: Sonora, TX Texas Sonora AgriLife Research Station (SARS) divided into 5 different prescribed fire frequencies Representative vegetation

Method and Results DSM DTM Technology NEXTmap interferometric synthetic aperture RADAR (IFSAR) ± 30-cm to 3-m vertical accuracy 0.9-m baseline at 5-m X 5-m pixel resolution Terrestrial laser scanning (TLS) 360° horizontal and a 270° vertical field of view 532 nm green laser with a pulse of 55,000 points per second spot diameter size up to a range of 50-m of 4.5mm with a ± 2mm ranging accuracy DSM DTM Specs provided by Washington-Allen and Delgado

Method and Results Plot 5 Sampling Error TLS samples taken in 30 m x 30m plots Six 5 m x 5 m IFSAR cells in each sample area Error Radar penetrates tree cover, which necessitates calibration. TLS provides highly accurate height data and is used to calibrate height across the plot Plot 5

Method and Results: DSM Heights

TLS Data: Plot 5

Future Work Extract height data for only 30 m x 30 m plots Perform statistical analysis to calibrate height data Potentially extract tree data using TreeVaw or ArcGIS Density Crown width Etc. Potentially apply allometric equations to determine carbon content

Ackowledgements Dr. Robert Washington-Allen Alfredo Delgado Dr. Maidment and Dr. Tarboton

Questions?