Application of machine learning-based post-processing to improve crowd-sourced urban rainfall categorizations
In recent years, citizen science has gained significant attention in the hydrometeorological sciences as an alternative to traditional monitoring systems while also raising awareness of natural processes. Crowd participation in reporting rainfall, known as crowdsourcing rainfall, has the potential t...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-06-01
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| Series: | Applied Computing and Geosciences |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590197425000370 |
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