Remote Sensing of Tree Islands in Sian Ka’an:

an update

Dr. Barrett N. Rock

Complex Systems Research Center

University of New Hampshire


A range of various remote sensing tools and methods (multispectral, hyperspectral, thermal, microwave, etc.) may be used to detect, discriminate, map, and monitor vegetation type and condition on tree islands of both the Everglades and Sian Ka’an, Quintana Roo, Mexico. Researchers at the University of New Hampshire will present findings from their remote sensing study of Sian Ka’an and Akumal, and well as data from recent trips (January 10-16, and March 13-20, 2010) to potential study sites at both locations. The data will include laboratory spectra of the foliage of dominant species, Landsat TM/ETM multi-date data, and field photography. The major focus of the Sian Ka’an/Akumal study is on developing more effective methods for mapping mangroves. In addition, a discussion will be presented on the potential benefits of acquiring future airborne hyperspectral data, TIR data, and microwave data for the purpose of mapping and monitoring mangroves as potential bio-indicators of sea level rise.  

Masters Candidate Sam Meacham