BLM OR WA CESU Terrestrial LiDAR Laser Scanning in Panther Creek | Apply Online

Opportunity Summary:

The grant opportunity titled "BLM OR WA CESU - Terrestrial LiDAR Laser Scanning in Panther Creek" (Funding Opportunity Number L11AS00246) is a Bureau of Land Management (BLM) discretionary funding announcement structured as a cooperative agreement under the Natural Resources activity category. It is focused on generating high-quality Terrestrial LiDAR Laser Scanning (TLS) data for the Oregon State Panther Creek research site, with the broader intent of strengthening forest and natural resource research through detailed, repeatable ground-based remote sensing methods. The opportunity is tied to CFDA 15.228, "National Fire Plan - Wildland Urban Interface Community Fire Assistance," which signals a connection to fuels, fire-related landscape understanding, and community-focused resource management, even though the immediate project tasks center on data collection and analysis rather than direct treatment implementation.

The project purpose is straightforward but technically significant: BLM wants TLS data collected across study plots that are already established at Panther Creek, then properly archived, shared, and analyzed so the information can be used by scientists working at the site. TLS is a ground-based laser scanning approach that produces dense 3D point clouds, capturing fine-scale forest structure in a way that traditional field plots or coarse remote sensing often cannot. In practical terms, the deliverables are expected to include raw and/or processed TLS point cloud datasets and TLS-derived inventories. These inventories typically translate point clouds into usable measurements such as tree locations, stem density, diameter estimates, tree height, crown structure, basal area, downed wood characteristics, and other structural attributes depending on the analysis methods used. The announcement emphasizes not only producing these products, but also ensuring they are organized in a way that supports long-term storage and access, which is critical for research sites intended for multi-year monitoring and cross-project use.

A central theme of the funding is repeatability and methodological standardization. The BLM is not just paying for a one-time scan; it is explicitly calling for a method that can be repeated in many different areas. That usually means developing and documenting a consistent field scanning protocol (scan positions, target placement or georeferencing approach, calibration checks, vegetation/occlusion considerations, and metadata standards), along with a processing workflow that can be applied again later without reinventing the approach. This matters because one of the strongest uses of TLS is change detection and monitoring over time. If a site is rescanned later using the same protocol, researchers can more confidently compare forest structure, fuels, or biomass-related indicators across years, disturbance events, or management actions.

Another key reason BLM is investing in TLS at Panther Creek is its value as a calibration and validation dataset for other remote sensing tools. The announcement points to future work where TLS data could help calibrate other approaches, which typically means linking detailed ground-based 3D measurements with airborne LiDAR, photogrammetry, satellite-derived products, or other landscape-scale datasets. TLS can serve as a bridge between traditional plot data and broader remote sensing because it captures 3D structure at very high resolution. When aligned with airborne or satellite data, TLS can improve model accuracy for estimating forest attributes over larger areas, and it can help quantify error and uncertainty in those larger-scale products. The opportunity also notes that Panther Creek hosts a wide array of scientific projects, suggesting the data are intended to be reused by multiple teams for multiple questions, rather than being confined to one narrow study.

From an administrative and eligibility standpoint, the announcement anticipated a single award (Expected Awards: 1) with an estimated total funding amount of $93,848. The award ceiling is also listed as $93,848, meaning the agency was likely planning to fund one project at roughly that full amount, while the award floor is shown as $1. There is no cost-sharing or matching requirement, which reduces barriers for eligible applicants. Eligibility is limited to public and state-controlled institutions of higher education, indicating this was designed for a university or similar public academic entity with the technical capacity to conduct TLS fieldwork, manage large geospatial datasets, and produce analytical outputs that meet research and agency standards.

The timeline included a posting date of August 26, 2011, with an original and current closing date of September 9, 2011, and an archive date of August 26, 2012. This short application window is typical of some targeted cooperative agreement opportunities, especially those issued under established partnership frameworks such as CESU (Cooperative Ecosystem Studies Units), which often streamline collaboration between federal agencies and academic partners. The listing directs applicants to download full instructions and the application package via the announcement, and it provides a grants management contact: Teresa E. Spickerman, Grants Management Officer, at 503-808-6243 and teresaespickerman@blm.gov, for assistance accessing materials.

Overall, this opportunity funded the creation of a carefully collected and well-documented TLS dataset at a dedicated research site, paired with derived forest inventories and an emphasis on protocols that can be replicated elsewhere. The work is positioned as foundational infrastructure for longer-term science and management applications: enabling consistent monitoring, supporting multi-project research at Panther Creek, and improving the accuracy of broader remote sensing products by providing a high-resolution ground reference.

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