Typical lake area is accurately predicted and assessed based on deep learning algorithms and associated physical mechanisms
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s12145-024-01282-x.pdf
Reference42 articles.
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2. Ali A, Dunlop P, Coleman S, Kerr D, McNabb RW, Noormets R (2023) Glacier area changes in Novaya Zemlya from 1986–89 to 2019–21 using object-based image analysis in Google Earth Engine. J Glaciol 1–12. https://doi.org/10.1017/jog.2023.18
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4. Babaeian E, Paheding S, Siddique N, Devabhaktuni VK, Tuller M (2022) Short-and mid-term forecasts of actual evapotranspiration with deep learning. J Hydrol 612:128078. https://doi.org/10.1016/j.jhydrol.2022.128078
5. Chen H, Huang JJ, Dash SS, Wei Y, Li H (2022) A hybrid deep learning framework with physical process description for simulation of evapotranspiration. J Hydrol 606:127422. https://doi.org/10.1016/j.jhydrol.2021.127422
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