Site identification and discharge measurements through Mobile Crowdsensing in the Mar Menor region

Hydrological models need continuous streamflow data for calibration, however these data are not always available due to the lack of monitoring stations or properly functioning ones. Mobile Crowdsensing (MCS) can help alleviate this problem. MCS relies on data collection from mobile sensing devices, it is inexpensive and its spatial coverage can be outstanding. Moreover, it can be an effective way of increasing local and citizen awareness of socio-environmental issues.

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Cite as

Peña-Haro S. Cecilia J. M. Blanco-Gómez P. Prandi C. y Senent-Aparicio J. Site identification and discharge measurements through Mobile Crowdsensing in the Mar Menor region. IAHS2022, 2022. https://doi.org/10.5194/iahs2022-196

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Retrieved: 20 Jan 2025 22:50:27

Metadata

Basic information
Resource type Article
Date of creation 2024-11-05
Date of last revision 2025-01-20
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Metadata identifier d30da892-4bdd-5190-a912-a5060704620d
Metadata language Spanish
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High-value dataset category Earth observation and environment
ISO 19115 topic category
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Bibliographic information
Name of the dataset creator Peña-Haro, S., Cecilia, J. M., Blanco-Gómez, P., Prandi, C. y Senent-Aparicio, J.
Name of the dataset editor IAHS2022
Other identifier DOI: 10.5194/iahs2022-196, 2022.
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