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A novel machine learning tool for current and future flood susceptibility mapping by integrating remote sensing and geographic information systemsNARA Subscribed
Journal of Hydrology · 2024 · Vol. 632 · Elsevier
Afshin Amiri; Keyvan Soltani; Isa Ebtehaj; Hossein Bonakdari
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The seed germination spectrum of 486 plant species: A global meta-regression and phylogenetic pattern in relation to temperature and water potentialNARA Subscribed
Agricultural and Forest Meteorology · 2024 · Vol. 346 · Elsevier
Keyvan Maleki; Elias Soltani; Charlotte E. Seal; Louise Colville; Hugh W. Pritchard; Jay Ram Lamichhane
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Terrestrial water storage anomaly estimating using machine learning techniques and satellite‐based data (a case study of Lake Urmia Basin)NARA Subscribed
Irrigation and Drainage · 2024 · Vol. 73 · Issue 1 · Wiley
Keyvan Soltani; Arash Azari
In this study, the Terrestrial Water Storage Anomaly (TWSA) in the Lake Urmia Basin (LUB) was obtained by using the GRACE satellites. The whole study area was covered by 10 GRACE/GFO pixels, and the TWSA value was calculated for these 10 pixels. Examining the changing trend showed that the value of TWSA in the LUB has a decreasing trend and fluctuates from approximately −200 to +200 compared to the average value. The TWSA was...
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Forecasting monthly fluctuations of lake surface areas using remote sensing techniques and novel machine learning methodsNARA Subscribed
Theoretical and Applied Climatology · 2021 · Vol. 143 · Issue 1-2 · Springer
Keyvan Soltani; Afshin Amiri; Mohammad Zeynoddin; Isa Ebtehaj; Bahram Gharabaghi; Hossein Bonakdari
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