A newly developed model for estimating snow depth in ungauged areas-Reference-Cited by-同舟云学术

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A newly developed model for estimating snow depth in ungauged areas

Published:2024-06 Issue: Volume:134 Page:103588
ISSN:1474-7065
Container-title:Physics and Chemistry of the Earth, Parts A/B/C
language:en
Short-container-title:Physics and Chemistry of the Earth, Parts A/B/C

Author:

Hashemireza Firooze,Sharafati Ahmad^ORCID,Raziei Tayeb,Kheyruri Yusef

Publisher

Elsevier BV

Reference71 articles.

1. Potential impacts of climate change on global solar radiation and PV output using the CMIP6 model in West Africa;Agbor;Cleaner Engineering and Technology,2023

2. Remote sensed and/or global datasets for distributed hydrological modelling: a review;Ali;Remote Sensing 2023,2023

3. Transfer learning approach based on satellite image time series for the crop classification problem;Antonijević;Journal of Big Data,2023

4. Estimation of soil moisture from remote sensing products using an ensemble machine learning model: a case study of Lake Urmia Basin, Iran;Asadollah;Earth Science Informatics,2023

5. The rain versus snow threshold temperatures;Auer;Weatherwise,2010

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