Evidence map›Paper›PMID 35492035›Full record

ArticleHardwareX2021

SitkaNet: A low-cost, distributed sensor network for landslide monitoring and study.

Max Chu, Annette Patton, Josh Roering, Cora Siebert, John Selker, Cara Walter, Chet Udell

Abstract read
In one paragraph

Article in HardwareX, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Education and technology synergy in environmental sensing.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Max ChuOPEnS Lab, Oregon State University, Corvallis, OR, United States.
Annette PattonDepartment of Earth Sciences, University of Oregon, Eugene, OR, United States.
Josh RoeringDepartment of Earth Sciences, University of Oregon, Eugene, OR, United States.
Cora SiebertSitka Sound Science Center, Sitka, AK, United States.
John SelkerOPEnS Lab, Oregon State University, Corvallis, OR, United States.
Cara WalterOPEnS Lab, Oregon State University, Corvallis, OR, United States.
Chet UdellOPEnS Lab, Oregon State University, Corvallis, OR, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Landslides threaten the infrastructure and safety of communities. Soil conditions can predict landslide threat, but the cost and complexity of sensing systems for documenting hazardous conditions across a heterogeneous spatial area prevent widespread utilization. The SitkaNet system is a low-cost, easier to install alternative that allows for numerous sites to be monitored with real-time reporting and expands the accessibility of data-driven landslide forecasting. Using a combination of industry-proven sensors and cheaper alternatives, each SitkaNet node can measure the rainfall, six soil moisture sensors at varying depths, water table, atmospheric pressure, humidity, and temperature at each site for less than one-fifth the cost of existing solutions (<$1000/node). The SitkaNet nodes transmit data wirelessly at five-minute intervals over LoRa network to an Ethernet connected hub instead of more traditional on-site cellular or satellite methods. The node electronics are packaged with 3D printed components in a small waterproof case mounted on a hand-driven well-point utilized for the water level measurement. Each node is intended for operation for more than six months on a lithium-ion battery pack: no solar panel is needed, so amenable to low-light sites. The installation process is streamlined which allows for a node to be installed in less than a day compared to multi-day procedures required by other systems.

Indexed as

ArduinoBarometric pressureData loggingHumidityLandslideLoRaMonitoringNear real time dataPiezometerRainfallSoil moistureWireless data transmission

Identifiers

PMID35492035
PMCPMC9041236

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.