Results 131 to 140 of about 3,557 (141)

Precipitation Estimates From Commercial Microwave Links: Practical Approaches to Wet-Antenna Correction

IEEE Transactions on Geoscience and Remote Sensing, 2022
Jaroslav Pastorek, Martin Fencl, Jörg Rieckermann   +2 more
exaly  

Commercial microwave links instead of rain gauges: fiction or reality?

Water Science and Technology, 2015
Martin Fencl, Jörg Rieckermann, David Stransky   +2 more
exaly  

Measuring urban rainfall using microwave links from commercial cellular communication networks

Water Resources Research, 2011
Aart Overeem, Hidde Leijnse, Remko Uijlenhoet   +2 more
exaly  

Empirical Study of the Quantization Induced Bias in Commercial Microwave Links’ Min/Max Attenuation Measurements for Rain Monitoring

Environments - MDPI, 2018
Jonatan Ostrometzky, Adam Eshel
exaly  

Quantifying Wet Antenna Attenuation in 38-GHz Commercial Microwave Links of Cellular Backhaul

IEEE Geoscience and Remote Sensing Letters, 2019
Martin Fencl, Pavel Valtr, Milan Kvicera   +2 more
exaly  

Quantitative precipitation estimation using commercial microwave links

2012
Overeem, A., Leijnse, H., Uijlenhoet, R.
openaire   +1 more source

Countrywide and transboundary spatial reconstruction of rainfall using commercial microwave links

Rainfall strongly influences the availability of water on the land surface, and hence, its quantification is utterly relevant for addressing a variety of social, economic, and environmental matters. Quantification via traditional rainfall measuring devices has its limitations and can be supported by opportunistic sensors like commercial microwave links
openaire   +1 more source

Detection of Precipitation Based on the Received Signal Level of Commercial Microwave Links and GRU Neural Networks

Zoran Stanković, Zlatica Marinkovic
exaly  

Real-time adjusting of rainfall estimates from commercial microwave links

2017
Fencl, Martin, Dohnal, Michal, Vojtěch Bareš   +2 more
openaire   +1 more source

Classification of Dry and Wet Periods Using Commercial Microwave Links: A One-Class Classification Machine Learning Approach Based on Autoencoders

IEEE Transactions on Geoscience and Remote Sensing
Peng Zhang, Xichuan Liu, Kang Pu
exaly