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  4. ›HIGH-ACCURACY MAPS POST-FIRE VEGETATION

U.S. Department Of The Interior·California

HIGH-ACCURACY MAPS POST-FIRE VEGETATION

Closes 9/16/2026$200k – $500kRequest for Quotation
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Description

The U.S. Geological Survey (USGS) seeks a qualified vendor to produce a single, high‑accuracy, 3‑meter‑resolution fractional‑cover vegetation map for the 2015 Soda Wildfire area plus a 100‑meter buffer, covering the 2025 growing season. The deliverable must include separate layers for bare soil, exotic annual grasses, perennial herbs, shrubs, and sagebrush, accompanied by quantitative accuracy/error assessments and metadata compliant with FGDC CSDGM and ISO 19115. Work involves multi‑date satellite imagery acquisition, machine‑learning model development, validation, and electronic delivery of the final GIS product. The contract will be awarded as a firm‑fixed‑price purchase order, with quotations due 09/16/2026 and delivery required by 09/30/2026. • One complete digital geospatial mapping product (3 m pixel) for ~285,000 acres + 100 m buffer. • Fractional‑cover layers: bare soil, exotic annual grasses, perennial herbs, shrubs, sagebrush. • Use at least 12 multispectral image dates (May 1 – Aug 6 2025) meeting 3 m, 6‑band specifications. • Provide quantitative error/accuracy analysis and metadata (FGDC CSDGM, ISO 19115). • Deliver electronically by 09/30/2026; award will be a single firm‑fixed‑price PO. • Technical proposal must include methodology, relevant experience (≥3 similar projects), data sources, software tools, and UEI.

Attached files

Contact

Joel Berberena(Contracting Officer)

[email protected]

(000) 000-0000

Key dates

Opened
9/14/2026
Closes
9/16/2026
Duration
30 days

Last updated

Details

Type
Request for Quotation
Industry
Engineering Services
NAICS
541370
Solicitation №
140G0326Q0222

Budget estimate

$200,000 – $500,000

The solicitation does not disclose a dollar value. Similar high‑resolution, multi‑date satellite mapping contracts for federal agencies typically range from a few hundred thousand dollars to low‑single‑million dollars, depending on data licensing, processing complexity, and deliverable volume. Considering the 285,000‑acre area, 3‑meter resolution, machine‑learning model development, and required metadata, a reasonable ballpark is $200,000 – $500,000. Factors influencing the final amount include the cost of acquiring premium satellite imagery, licensing of proprietary software, and the extent of validation work.

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