HR: 1340h
AN: B43B-0274    [Abstracts]
TI: Using MODIS Imagery to Detect the Invasive Species Cheatgrass in Northwestern Utah
AU: Quarm, A
EM: Joseph.W.Skiles@nasa.gov
AF: NASA Ames Research Center, Mail Stop 239-20, Moffett Field, Ca 94035 United States
AU: Risman, S
EM:
AF: NASA Ames Research Center, Mail Stop 239-20, Moffett Field, Ca 94035 United States
AU: Glennon, T
EM:
AF: NASA Ames Research Center, Mail Stop 239-20, Moffett Field, Ca 94035 United States
AU: * Ashktorab, M
EM:
AF: NASA Ames Research Center, Mail Stop 239-20, Moffett Field, Ca 94035 United States
AU: Schmidt, C
EM:
AF: NASA Ames Research Center, Mail Stop 239-20, Moffett Field, Ca 94035 United States
AU: Skiles, J
EM: Joseph.W.Skiles@nasa.gov
AF: NASA Ames Research Center, Mail Stop 239-20, Moffett Field, Ca 94035 United States
AB: Cheatgrass (Bromus tectorum) is a widespread invasive species that has invaded the semi-arid shrub- steppe region of the Great Basin in the western US because of its hardiness, phenology and recovery from fire abilities. Cheatgrass infested areas possess a distinctive appearance on satellite imagery which can be seen by comparing images across the course of a year. The DEVELOP student intern research group at NASA Ames Research Center has created a predictive percent coverage map for cheatgrass using field data points combined with NDVI MODIS values, and a customized regression model (CART). After a three-part accuracy assessment was performed, the map showed an overall accuracy of 76% for prediction of absence/presence of B. tectorum with an overall accuracy of 62% across two cover classes and 39% across all six cover classes. Characteristics of cheatgrass as well as the methodology used in the CART and a discussion of the study results will be presented.
DE: 0498 General or miscellaneous
SC: Biogeosciences [B]
MN: Fall Meeting 2005