Identifying the essential flood conditioning factors for flood prone area mapping using machine learning techniques
2018 · CATENA · 371 citations
https://doi.org/10.1016/j.catena.2018.12.011
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Mahyat Shafapour Tehrany
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Mahyat Shafapour Tehrany is an academic researcher from Kandilli Observatory and Earthquake Research Institute. The author has contributed to research in topics: Flood Risk Assessment and Management & Landslides and related hazards & Fire effects on ecosystems. The author has an h-index of 31, co-authored 39 publications.
ORCID: 0000-0003-4272-7796Papers by this author
worksFlood susceptibility mapping using integrated bivariate and multivariate statistical models
2014 · Environmental Earth Sciences · 341 citations
https://doi.org/10.1007/s12665-014-3289-3
GIS-based spatial prediction of flood prone areas using standalone frequency ratio, logistic regression, weight of evidence and their ensemble techniques
2017 · Geomatics Natural Hazards and Risk · 289 citations
https://doi.org/10.1080/19475705.2017.1362038
Invasive weed species’ threats to global biodiversity: Future scenarios of changes in the number of invasive species in a changing climate
2020 · Ecological Indicators · 108 citations
https://doi.org/10.1016/j.ecolind.2020.106436
Forecasting Brassica napus production under climate change with a mechanistic species distribution model
2023 · Scientific Reports · 22 citations
https://doi.org/10.1038/s41598-023-38910-3
Habitat in flames: How climate change will affect fire risk across koala forests
2023 · Environmental Technology & Innovation · 9 citations
https://doi.org/10.1016/j.eti.2023.103331
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