Using multi-date satellite imagery to monitor invasive grass species distribution in post-wildfire landscapes: An iterative, adaptable approach that employs open-source data and software
Amanda M. West(Colorado State University), Stephen M. Chignell(Colorado State University), Paul Evangelista(Colorado State University), Catherine S. Jarnevich(United States Geological Survey), Matthew W. Luizza(Colorado State University), Aaron Swallow(US Forest Service)
International Journal of Applied Earth Observation and Geoinformation
March 31, 2017
Cited by 50
Related Papers
Iterative near-term ecological forecasting: Needs, opportunities, and challenges
|Proceedings of the National Academy of Sciences|2018|624
The area under the precision‐recall curve as a performance metric for rare binary events
|Methods in Ecology and Evolution|2018|380
Development and Delivery of Species Distribution Models to Inform Decision-Making
|BioScience|2019|346
Caveats for correlative species distribution modeling
|Ecological Informatics|2015|316
Improving and integrating data on invasive species collected by citizen scientists
|Biological Invasions|2010|261