<p class='jove_content'>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 (<em>Tamarix</em> spp.) invasion in Southeastern Colorado, USA when assessed with subsequent field validations.</p>

integrating-remote-sensing-with-species-distribution-models-mapping

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

Early detection of invasive plant species is vital for the management of natural resources and protection of ecosystem processes. The use of satellite ...

Institution - U.S. Geological Survey, Fort Collins Science Center

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