SEA96LA053
1996-03-02 · GARDEN VALLEY, Idaho, United States · None · 1 aircraft · Status: Completed
Airport U88
Current FAA registration · N2925V
- Make / Model
- CESSNA R172K
- Year of manufacture
- 1977 · 19 years old at event
- Engine
- CONT MOTOR IO-360 SER (300 hp)
- Seats / Engines
- 4 seats · 1 engine
- Last airworthiness date
- 19770404
- ADS-B equipped
- Yes — Mode-S A30003
Source: FAA Aircraft Registry (releasable master file).
Aircraft involved
Probable cause & findings
The pilot's selection of an unsuitable landing area. The snow covered runway was a related factor.
Factual narrative
On March 2, 1996, at 1700 mountain standard time, a Cessna R172K, N2925V, registered to and operated by the pilot as a 14 CFR Part 91 personal flight, nosed over during the landing roll at the Garden Valley Airport, Garden Valley, Idaho. Visual meteorological conditions prevailed at the time and no flight plan was filed. The airplane was substantially damaged and the private pilot and his passenger were not injured. The flight originated from Nampa, Idaho, about 40 minutes prior to the accident. The pilot reported that he made two passes over the airport and thought that there were only about three inches of snow on the runway surface. An approach for a soft field landing was made to runway 10. During the landing roll, the airplane's nose wheel dug into the snow and the airplane nosed over. It was later determined that there were approximately 15 inches of snow on the runway. The Airport/Facility Directory for the Garden Valley Airport indicates that the airport is unattended and there is no winter maintenance. The pilot reported that he made two passes over the snow-covered runway and estimated only about three inches of snow on the surface. An approach for a soft field landing was made. During the landing roll, the nose wheel dug into the snow and the airplane nosed over. After the accident, about 15 inches of snow was found on the runway surface. Source: NTSB Aviation Accident Database (Pre-2008 Archive) Retrieved: 2026-02-12
Verbatim from NTSB's published report. Source file
NTSB_1996_SEA96LA053.txt.
Findings + structured fields enriched from FAA avall.mdb.
Full investigation docket on
data.ntsb.gov ↗.
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Related research
Matched on aircraft type or causal vocabulary (maintenance). All research papers
- Embry-Riddle Scholarly Commons 2026 · Journal article (IJAAA) From Reactive to Predictive: A hybrid Trust-Mediated Adoption Framework for Data-Driven Maintenance in Distributed-Authority Aviation Environments
Modern aviation maintenance operates within increasingly data-intensive technological environments, yet the operational integration of predictive maintenance into routine decision-making remains incon…
- Semantic Scholar 2026 · Article (Reliability Engineering & System Safety) Understanding human error in military aviation maintenance: The role of Performance shaping factors, cognitive workload and error orientation
- Semantic Scholar 2025 · Article (Applied Sciences) Decision-Making Framework for Aviation Safety in Predictive Maintenance Strategies
The implementation of predictive maintenance (PM) in aviation presents unique challenges due to strict safety requirements, complex operational environments, and regulatory constraints.
- Semantic Scholar 2024 · Article (Defence Science Journal) Modelling of Human Factors in Aviation Maintenance Using HFACS ME Human Factors Analysis and Classification System Maintenance Extension and Bayesian Network
Aircraft maintenance is a complex task involving a skilled human workforce, spare parts, and various other resources. Human factors are an inherent element of the human workforce.
- Embry-Riddle Scholarly Commons 2024 · Journal article (JAAER) A New Trajectory in UAV Safety: Leveraging Reinforcement Learning for Distance Maintenance Under Wind Variations
In the field of aviation, safety is a critical cornerstone, and the operation of Unmanned Aerial Vehicle (UAV) systems is deeply connected with this principle.
- Embry-Riddle Scholarly Commons 2024 · Journal article (JAAER) Low-Resource Automatic Speech Recognition Domain Adaptation – A Case-Study in Aviation Maintenance
With timeliness and efficiency being critical in the aviation maintenance industry, the need has been growing for smart technological solutions that optimize and streamline the different underlying ta…