“Here, we extend these frameworks to larger landscapes with a machine learning approach that integrates large-scale, high-resolution vegetation data with identified ecological states from a data-driven state-and-transition model developed for a landscape-scale Ecological Site Group.”
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Kleist, N. J., C. T. Domschke, A. C. Knight, T. W. Nauman, M. C. Duniway, and S. K. Carter. 2025. “ Mapping Predicted Ecological States at Landscape Scales Using Remote-Sensing Data and Machine Learning.” Ecosphere 16(4): e70243. https://doi.org/10.1002/ecs2.70243