Opportunity Information: Apply for L14AS00284
Apply for L14AS00284
- The Bureau of Land Management in the natural resources sector is offering a public funding opportunity titled "BLM OR WA Landslide LiDAR Mapping within Mill Creek Watershed, Coos Bay District" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 15.236 Environmental Quality and Protection Resource Management.
- This funding opportunity was created on Jul 30, 2014 and posted on Jul 30, 2014.
- Applicants must submit their applications by Aug 28, 2014. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- The funding agency has allocated a total of $50,000.00 to eligible and selected applicants.
- Each selected applicant is eligible to receive up to $20,000.00 in funding.
- The number of recipients for this funding is limited to 1 candidate(s).
- Eligible applicants include: State governments.
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Opportunity Summary:
The Bureau of Land Management (BLM) opportunity titled "BLM OR WA Landslide LiDAR Mapping within Mill Creek Watershed, Coos Bay District" (Funding Opportunity Number L14AS00284) is a discretionary cooperative agreement focused on natural resource management and geologic hazard identification. The core purpose is to use existing LiDAR data to produce a detailed inventory and map of landslide-related landforms within the Mill Creek Watershed in the Coos Bay District, covering about 23,808 acres. BLM highlights that LiDAR provides a much clearer view of surface geomorphology than many older datasets, which makes it especially useful for recognizing landforms associated with past slope failures and for building a consistent baseline for later hazard evaluation and land-use planning.
The project is framed as the first detailed LiDAR-based landslide mapping effort in this district, and it is intended to support practical management needs such as forest and land management decisions, road planning and construction, and broader disaster prevention and risk reduction work. The mapping is to be completed to State of Oregon standards, meaning the deliverable is not just a generalized hazard discussion but a standardized, GIS-ready landslide feature dataset and map products that align with established state expectations for how landslide inventories are delineated and attributed.
BLM specifies the kinds of landslide features that are typically visible in the LiDAR for this area, emphasizing features that existed prior to the LiDAR flight (2008). These include debris fans, deep-seated slides, earthflows, and rock falls. The announcement also notes a common limitation: shallow soil slides are often not apparent in LiDAR imagery, so the inventory is expected to focus more heavily on larger or more geomorphically expressed features. In addition to drawing or mapping the landslide features, the recipient is expected to compile a list of attributes for each mapped feature, which generally implies populating a geodatabase with standardized descriptive fields (for example, feature type and other classification details) so that the inventory can be used for subsequent analysis and decision-making.
The work is described as primarily office-based, with about 90 percent of the effort completed through desktop interpretation of LiDAR-derived products and related GIS compilation. Field verification is included but described as occurring "as time allows," indicating that limited ground-truthing may be performed to confirm or refine interpretations, rather than extensive field campaigns for every feature. The overall emphasis is on generating a comprehensive, standards-based landslide inventory from the LiDAR dataset, supplemented by targeted field checks where feasible.
From an administrative standpoint, BLM anticipated making one award under this opportunity. The total estimated funding available for the announcement is listed as $50,000, with an award ceiling of $20,000 and an award floor of $1. There is no cost sharing or matching requirement. Eligible applicants are limited to state governments. The opportunity falls under CFDA 15.236 (Environmental Quality and Protection Resource Management). It was posted on July 30, 2014, with an application deadline of August 28, 2014, and it was later archived on July 29, 2015. Applicants were directed to the full announcement and application package via the application materials referenced in the notice, and a BLM Grants Management Specialist, Sheri Dowley (503-808-6243, sdowley@blm.gov), was provided as the point of contact for access or submission issues.
Frequently Asked Questions (FAQs)
1) What is the title of this BLM grant opportunity?
The opportunity is titled "BLM OR WA Landslide LiDAR Mapping within Mill Creek Watershed, Coos Bay District."
2) What is the Funding Opportunity Number (FON)?
The Funding Opportunity Number is L14AS00284.
3) What type of funding instrument is being offered?
This opportunity is a discretionary cooperative agreement.
4) What is the main purpose of the project?
The core purpose is to use existing LiDAR data to produce a detailed inventory and map of landslide-related landforms within the Mill Creek Watershed in the Coos Bay District. The intent is to create a consistent baseline that can support later hazard evaluation and land-use planning.
5) Where will the work be focused?
The work focuses on the Mill Creek Watershed in the Coos Bay District (BLM OR/WA).
6) How large is the mapping area?
The mapping area is approximately 23,808 acres.
7) What data source is the project based on?
The project is based on existing LiDAR data. The announcement highlights that LiDAR provides a clearer view of surface geomorphology than many older datasets.
8) What is the significance of the LiDAR timing mentioned in the announcement?
The opportunity emphasizes landslide features that existed prior to the LiDAR flight in 2008, meaning the mapping is expected to capture landforms visible in that LiDAR dataset rather than changes that occurred afterward.
9) What kinds of landslide features are expected to be visible and mapped?
BLM notes that typical landslide-related features visible in the LiDAR for this area include debris fans, deep-seated slides, earthflows, and rock falls.
10) Are shallow soil slides expected to be included?
The announcement notes a limitation that shallow soil slides are often not apparent in LiDAR imagery for this area. As a result, the inventory is expected to focus more on larger or more geomorphically expressed features.
11) What are the required deliverables?
The deliverable is a standardized, GIS-ready landslide feature dataset and map products created to State of Oregon standards. The work is framed as an inventory and mapping effort, not just a narrative hazard discussion.
12) What does "to State of Oregon standards" imply for outputs?
It implies the landslide inventory should be delineated and attributed in a way that aligns with established state expectations, producing map products and a GIS dataset suitable for consistent use in later analyses and decision-making.
13) Will the project include attribute data for each mapped feature?
Yes. In addition to drawing/mapping landslide features, the recipient is expected to compile a list of attributes for each mapped feature, generally implying population of a geodatabase with standardized descriptive fields (such as feature type and classification details).
14) How much of the work is expected to be office-based versus field-based?
The work is described as primarily office-based, with about 90 percent completed through desktop interpretation of LiDAR-derived products and GIS compilation.
15) Is field verification required?
Field verification is included, but it is described as occurring "as time allows." This indicates limited, targeted ground-truthing to confirm or refine interpretations rather than extensive field campaigns for every mapped feature.
16) What management needs is this project intended to support?
The inventory is intended to support practical management needs including forest and land management decisions, road planning and construction, and broader disaster prevention and risk reduction efforts.
17) Is this the first LiDAR-based landslide mapping effort for the district?
Yes. The project is framed as the first detailed LiDAR-based landslide mapping effort in this district.
18) How many awards did BLM anticipate making under this opportunity?
BLM anticipated making one award.
19) What is the total estimated funding available?
The total estimated funding available for the announcement is listed as $50,000.
20) What are the award ceiling and award floor?
The award ceiling is $20,000 and the award floor is $1.
21) Is cost sharing or matching required?
No. There is no cost sharing or matching requirement stated for this opportunity.
22) Who is eligible to apply?
Eligible applicants are limited to state governments.
23) What CFDA number is associated with this opportunity?
The opportunity falls under CFDA 15.236 (Environmental Quality and Protection Resource Management).
24) When was the opportunity posted?
It was posted on July 30, 2014.
25) What was the application deadline?
The application deadline was August 28, 2014.
26) Is the opportunity still active?
No. The notice indicates it was later archived on July 29, 2015.
27) Where were applicants directed to find the full announcement and application package?
Applicants were directed to the full announcement and application package via the application materials referenced in the notice.
28) Who is the point of contact for access or submission issues?
The listed point of contact is BLM Grants Management Specialist Sheri Dowley. Phone: 503-808-6243. Email: sdowley@blm.gov.
29) What is the broader program area or theme of this project?
The project is focused on natural resource management and geologic hazard identification, using LiDAR-based geomorphic interpretation to build a landslide inventory suitable for planning and risk reduction.
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