Processing Multitemporal TM Imagery to Extract Forest Cover Change Features in Cleveland National Forest, Southern California

Start Date: 
01/01/2000
End Date: 
01/01/2003
Project Call: 
Earth Observing System
Science Theme: 
Predictive Land Use Modeling
Observations and Data
Regional Initiative: 
North American Carbon Project
Region: 
North America
Continental U.S.
Solicitation: 
LCLUC-99
Distribution of Project Team Members Institutions
marker Principal Investigator   marker Co-Investigator   marker Collaborator   marker Postdoc Researcher   marker Graduate Student Researcher   marker Other
Team members: 
Person Name Person role on project Affiliation
Janet Franklin Principal Investigator Arizona State University, San Diego, United States


Abstract: 

Multitemporal Spectral Mixture Analysis • Highly accurate in depicting changes in forest cover: Soil, NPV and GV are sensitive to inter-date change in ‘natural’ cover • Decision Tree Classifier outperformed a Conventional Maximum Likelihood Classifier by 10% overall and by an average of 9% for each cover change class • Inclusion of ancillary data sets to reduce spectral confusion and texture images to enhance accuracy

Project Documents

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