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Project: Unstable Slopes Criteria - Object-Based Landform Mapping

  • Status: Delayed
  • Current Phase: Report Writing

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Project Timeline:

January 1, 2019 - June 30, 2025

CMER Scientist:

Elise Freeman

Project Manager:

Theryn Henkel

Rule Group:

Unstable Slopes

SAG:

UPSAG (Upslope Processes Science Advisory Group)

Project Description

Washington Administrative Code (WAC) Section 222-16-050(1)(d)(i) lists the five rule-identified landforms (RIL) and directs the reader to Section 16 of the board manual where the RIL and their criteria are described in detail. Those five RIL are utilized by DNR’s FPA approval process to determine if timber harvest has the potential to deliver sediment or debris to a public resource or in a manner that would threaten public safety (WAC 222-10-030(2)(b), SEPA policies for potentially unstable slopes and practices).

The Unstable Slope Criteria Project will evaluate the degree to which the landforms described in the unstable slopes rules and board manual identify potentially unstable areas that are likely to impact public resources or threaten public safety. Current RIL definitions and criteria are based on landforms and processes that are inferred to yield relatively high landslide densities, are influenced by forest management, and are likely to have a probable significant adverse impact (WAC 222-10-030(2)(c)). They were developed from field observations, regional research, and watershed analysis data collected from various sources and methods. Observations of storm-induced landslides that have occurred since the current rules were implemented have shown that a sizable proportion of delivering hillslope landslides may originate from terrain that does not meet RIL criteria. Likewise, while models have been built that predict maximum runout potential, there are no explicit criteria for assessing delivery to public resources or risk to public safety.

The studies included in the Unstable Slopes Criteria Project use lidar-based landslide inventories and landform mapping, and assessment of vegetation and precipitation history to calculate shallow landslide susceptibility. The landform mapping study seeks to develop reliable methods to automate the mapping of landforms, including the current RILs, across a variety of physiographic settings.

Project Team

Theryn Henkel

Project Manager

Elise Freeman

Principal Investigator, NWIFC

Dan Miller

Project Team Member, M2 Environmental Services

Julie Dieu

Project Team Member, Rayonier Inc.

Ted Turner

Project Team Member, Weyerhaeuser

Jeff Keck

Project Team Member, DNR

Tiffany Justice

Project Team Member, Weyerhaeuser

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Phase

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Phase Timeline

Project Initiation
Jan 2016
Scoping
Jan 2017
Study Design
Jan 2018
Implementation
Mar 2020
Data Analysis
Jan 2022
Report Writing
Jan 2023
Dec 2025
* horizontal lines represent phase overlap

2023-2025 Biennium Budget

Biennium Budget Status

  • $27,287(92.57%)
  • $29,476
  • Expended To Date
  • Planned Budget
* Project Budgets do not include AMP Staff Salaries

2023-2024

2024-2025