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Abstract :
Understanding the effect of the droughts on the mountain snowpack is crucial. The SnowHow project provides measurements of key variables (including: soil moisture, air/soil temperature, snow depth, and air relative humidity) by deploying low-power mesh networks across the California Sierra Nevada. Off-the-shelf commercial solutions are available today which offer >99.999% end-to-end data reliability and a decade of battery lifetime. A new wireless network can be deployed in a couple of hours and report sensor data minutes after it was measured.

Inria
Thomas Watteyne, faculty
Keoma Brun-Laguna, PhD Student
Ziran Zhang, Post-doctoral Research Lead

University of California, Berkeley
Steven Glaser, Professor
Sami Malek, PhD Candidate
Carlos Oroza, Post-doctoral Research Lead
Francesco Avanzi, Post-doctoral Research Lead
Tessa Maurer, PhD Student

University of Michigan
Brando Kerkez, Professor
Date of production :
Duration (mn) :
00:01:13
Language :
Muet avec titrages anglais
Available languages :
Muet avec titrages anglais
Research project-team :
EVA
Research center :
Keywords :
Master N° :
1121
Production :
Inria - Direction de la communication
Author director :
Langlois, Arnaud
Permalink :
Inria-1121_SnowHow.mp4

Format : .mp4
95,4 MB
1920 x 1080 pixels
Inria-1121_SnowHow_BDWeb.MP4

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512 kbits/s
Encodage PAL .MP4 H264
512 kbits/s
Inria-1121_SnowHow_HD.MP4

Format : .mp4
43,7 MB
1024 x 576 pixels
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Encodage PAL .MP4 H264
5 Mbits/s
Encodage PAL .MP4 H264
5 Mbits/s
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