Main findings
When compared to official, highly accurate sensors, the low cost sensors followed various trends:
A relatively high correlation between timeseries.
A considerable underestimation of absolute rainfall rates, leading to...
... overlooking some peak rainfall events.
A relatively high correlation between timeseries.
A considerable underestimation of absolute rainfall rates, leading to...
... overlooking some peak rainfall events.
The gathering of data using the low-cost sensors was complicated in multiple ways:
- new sensors still faced BATTERY ISSUES during winter.
- In an URBAN CONTEXT, the installation of low-cost sensors is challenging.
> it is crucial to limit obstruction by neighbouring objects as well as to
favorize a S-SW orientation.
> The placement of one personal, LoRa gateway per sensor helps overcoming connectivity issues and loss of data packages in urban contexts.
=> CONCLUSION: technology not mature yet