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Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling (SAHM)
 

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling (SAHM)

Article DOI: 10.3791/54578-v • 12:26 min • October 11th, 2016
October 11th, 2016 •
1, 1, 2, 1, 1, 2, 3, 3, 1
1Natural Resource Ecology Laboratory, Colorado State University, 2U.S. Geological Survey, Fort Collins Science Center, 3U.S. Geological Survey - U.S. Department of the Interior, North Central Climate Science Center

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We demonstrate the utility of remotely sensed data and the newly developed Software for Assisted Habitat Modeling (SAHM) in predicting invasive species occurrence on the landscape. An ensemble of predictive models produced highly accurate maps of tamarisk (Tamarix spp.) invasion in Southeastern Colorado, USA when assessed with subsequent field validations.

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Keywords: Remote Sensing Species Distribution Models Tamarisk Invasive Plant Species Software For Assisted Habitat Modeling (SAHM) Natural Resource Management Ecosystem Protection Phenology Landsat Satellite Data
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