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.

Data and Resources

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

Clipboard Icon
Retrieved: 07 Nov 2025 05:40:33
RIS BibTeX

Metadata
Download
DCAT-AP/NTI-RISP

Basic information
Resource type Article
Date of creation 2024-11-05
Date of last revision 2024-11-05
Show changelog
Metadata identifier d30da892-4bdd-5190-a912-a5060704620d
Metadata language Spanish
Themes (NTI-RISP)
High-value dataset category Earth observation and environment
ISO 19115 topic category biota
Keyword URIs
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.
Identifier of the dataset creator
Email of the dataset creator
Website of the dataset creator
Provenance
Lineage statement
Metadata Standard
Version notes
Version