PNW 5C FFS Wildland-Urban Interface Risk Approaches
ID: 1240BG25Q0009Type: Combined Synopsis/Solicitation
AwardedAug 4, 2025
$380.7K$380,732
AwardeeGEOSPATIAL MEASUREMENT SOLUTIONS, LLC Newberg OR 97132 USA
Award #:1240BG25P0030
Overview

Buyer

AGRICULTURE, DEPARTMENT OFFOREST SERVICEROCKY MTN RESEARCH STATIONFORT COLLINS, CO, 80526, USA

NAICS

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518210)

PSC

SUPPORT- PROFESSIONAL: OTHER (R499)

Set Aside

Total Small Business Set-Aside (FAR 19.5) (SBA)
Timeline
    Description

    The Department of Agriculture, specifically the Forest Service's Rocky Mountain Research Station, is seeking proposals from small businesses for the development of a comprehensive database focused on wildfire-affected structures in the wildland-urban interface (WUI). The project aims to create a detailed database that includes building footprints, construction materials, and risk assessments from 2010 to 2022, utilizing high-resolution pre- and post-fire vegetation data to enhance understanding of fire risk relationships and evaluate current WUI definitions. This initiative is critical for improving wildfire risk assessment methodologies and enhancing community resilience against fire threats. Proposals must be submitted electronically by July 2, 2025, with inquiries due by June 25, 2025; interested parties can contact Anthony O Salas at anthony.salas@usda.gov for further information.

    Point(s) of Contact
    Anthony O Salas
    anthony.salas@usda.gov
    Files
    Title
    Posted
    The USDA is soliciting contractor services to develop a comprehensive database examining the factors influencing wildland-urban interface (WUI) risk assessments. The project aims to create a database of wildfire-affected building footprints from 2010 to 2022, incorporating pre- and post-fire vegetation data, building types, construction materials, and defensive actions. The objectives include acquiring aerial imagery, assessing uncertainties in correlation studies, evaluating WUI definitions, and refining existing risk assessment frameworks. Key tasks entail using high-resolution data to enhance understanding of fire risk relationships, determining the impact of defensive actions, and publishing findings, including technical reports and interactive web resources. The contractor must meet specific technical requirements, engage in collaborative efforts with USDA representatives, and provide deliverables over a two-year timeline, all while ensuring compliance with relevant data rights and accessibility standards. This initiative underscores the government’s commitment to improving wildfire risk assessment methodologies, ultimately enhancing community resilience against fire threats.
    The document outlines the evaluation criteria for proposals related to wildland-urban interface (WUI) fire research, issued by the USDA. It emphasizes the need for technical expertise in data integration and geospatial analysis pertaining to WUI fires. The evaluation structure includes four main factors: Skills, Experience, Past Performance, and Technical Capability, subdivided into various subfactors detailing specific qualifications, such as training, certification, and relevant project experience. Candidates are expected to demonstrate proficiency in geospatial science, integration of defensive action data, and familiarity with the Fire Dynamics Simulator. Past experience with LIDAR technology, recreation of fire event timelines, and utilization of platforms like ArcGIS Online is also critical. A significant emphasis is placed on documenting past work through peer-reviewed articles and relevant databases. The goal is to ensure that proposals are assessed on their technical merit and ability to deliver value, relevant to the USDA's focus on fire management and safety in WUI areas. The evaluation process will prioritize applicants with a proven capability to comprehensively analyze and manage fire-related data, enhancing the USDA’s ability to address the complexities of fire incidents in urban-wildland interfaces.
    The solicitation numbered 1240BG25Q0009 is a Request for Quotations (RFQ) aimed at acquiring services for the development of a comprehensive database concerning wildfire-affected structures, focusing on building types, materials, and risk assessments over the period of August 1, 2025, to July 31, 2027. It is exclusively open to small businesses, as defined by the NAICS code 518210, which has a size standard of $40 million. Key deliverables include the acquisition of aerial imagery, database creation, uncertainty assessments, examination of wildfire definitions, and the final project report. The proposal process requires submissions of both technical and price quotes, adhering to guidelines ensuring that offeror qualifications assess their capacity. Proposals must be submitted electronically by July 2, 2025, and inquiries are due by June 25, 2025. The evaluation criteria underscore importance on price, qualifications, past performance, and technical capabilities. The project underscores the government's commitment to enhancing understanding and mitigation of wildfire risks, thereby aiding in the protection of communities and infrastructure in wildfire-prone areas.
    The document outlines the solicitation number 1240BG25Q0009, which involves a Request for Quotes (RFQ) for a project focused on wildfire risk assessment in urban interfaces. The procurement is specifically set aside for small businesses, with a contract period from August 1, 2025, to July 31, 2027. The project aims to develop a comprehensive database of wildfire-affected buildings, categorized by structure characteristics and assessed for risk factors. Key tasks include data integration from past wildfires, auditing related projects, ongoing modeling assistance, and producing a final project report. Offerors are required to submit both technical and price quotes by July 2, 2025, and must register with the System for Award Management. Evaluation criteria consist of price, qualifications, experience, and past performance. The document emphasizes compliance with various federal regulations and highlights the potential for enhancing current risk assessment methodologies in wildfire-prone areas. Overall, it illustrates an effort to improve data utilization and modeling for better understanding and management of wildfire risks in urban settings.
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