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A Semi-Automated Object-Based Gully Networks Detection Using Different Machine Learning Models: A Case Study of Bowen Catchment, Queensland, Australia
Gully erosion is a dominant source of sediment and particulates to the Great Barrier Reef (GBR) World Heritage area. We selected the Bowen catchment, a tributary of the Burdekin Basin, as our area of study; the region is associated with a high density of gully networks. We aimed to use a semi-automa...
Autores principales: | Shahabi, Hejar, Jarihani, Ben, Tavakkoli Piralilou, Sepideh, Chittleborough, David, Avand, Mohammadtaghi, Ghorbanzadeh, Omid |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6891561/ https://www.ncbi.nlm.nih.gov/pubmed/31717546 http://dx.doi.org/10.3390/s19224893 |
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