R--BLM ID AML DIGITAL INVENTORY

STATEMENT OF WORK (SOW)Digital AML Inventory ServicesBureau of Land management Idaho May 2026 BLM POC Colt Dickman Idaho State Office Hazardous Materials Management Program Lead jdickman@blm.gov 208-373-4036 1. Purpose The purpose of this contract is to help advance the Abandoned Mine Lands Program in Idaho by utilizing advanced technologies like LiDAR technology to digitally inventory, spatially document, field validate, and risk-rank Abandoned Mine Land (AML) features within the defined project area in alignment with national BLM data standards and the Abandoned Mine Site Cleanup Module (AMSCM) schema. Inventoried features will include, but are not limited to, shafts, adits, waste rock dumps, mill tailings, prospect pits and trenches, and in some cases AML structures. The final deliverables will provide two essential tools for the BLM Idaho AML Program: A field-oriented, defensible, and standardized dataset capable of supporting strategic work planning, prioritization of high-density and high-risk areas for field verification, and development of physical safety mitigation and remediation strategies. A comprehensive, AMSCM-compatible dataset that meets BLM AML data standards and can be efficiently uploaded into the AMSCM system, substantially advancing completion of the inventory phase for the Idaho AML program. Remaining inventory actions will be streamlined through use of the validated dataset described above. 2. Background The Bureau of Land Management (BLM) Idaho Abandoned Mine Lands (AML) Program has conducted systematic inventory and documentation of legacy hard‑rock mining features on BLM‑administered lands since 2000. Over the past 26 years, this program has identified and recorded more than 9,000 features, including shafts, adits, stopes, prospect pits, trenches, waste rock dumps, mill tailings, and other environmental and physical hazards. These inventories have been developed through a combination of field surveys, legacy datasets, and evolving geospatial methods. As a result, some data quality and positional accuracy vary across the existing AML record. To ensure effective planning, risk assessment, and long‑term program management, the Idaho AML Program requires a comprehensive digital inventory update that confirms the accuracy of existing records and identifies any unmapped or previously undocumented AML features. The BLM seeks to incorporate advanced remote sensing and potentially analytic technologies—including high‑resolution LiDAR, multispectral and hyperspectral data, machine‑learning‑enabled feature extraction, and other geospatial tools—to close existing data gaps, enhance spatial precision, and support a modernized, enterprise‑ready AML database. This supports BLM’s broader objectives for public safety hazard mitigation, risk‑based prioritization, data modernization, and long‑term stewardship of abandoned mine lands within the State of Idaho. The resulting digital inventory will provide a consistent, defensible foundation for future AML planning, project development, and program decision‑making. 3. Scope of Work Task 1: Contract Administration Conduct kickoff meeting and finalize project work plan. Confirm BLM’s proposed plan of action, to determine if there might be a better way to accomplish the objective. Confirm data standards and documentation methodologies Align data collection methodology with BLM AML standards and the minimum required AMSCM schema to allows intuitive importing into AMSCM. Hold monthly progress meetings Work with BLM Idaho subject matter experts, as necessary to adjust actions as needed to be as efficient as possible in accomplishing the objective. Task 2: Project Planning and Document Review Review all the relevant documents related to BLM Idaho’s approach to this objective. BLM Idaho, FY18 Inventory Plan BLM Idaho’s planned process BLM MT, Dillon Field Office, approach BLM CA, Physical Inventory work BLM Idaho Mine Closure Team Standard Operating Procedure BLM Idaho AMSCM Data schema, and BLM Idaho’s adjusted schema BLM Idaho Risk Prioritization metrics for the project Collaboratively assess what is missing, or what can be performed more efficiently. to have a more meaningful impact on the outcome of the project. Evaluate the spatial data/imagery BLM Idaho has, generally QL-3, and if necessary determine what quality of GPS spatial data is necessary to best identify AML features, and build a plan to determine if that quality of data is able to be acquired without having to manually collect the data. Conduct at least two sample inventory actions, one from northern Idaho in the Silver Valley, and one in Southern Idaho near Silver City, and work with BLM Idaho SMEs to determine effectiveness and adjust approach if necessary. Once the methodology has been confirmed with BLM Idaho, refine the standardized process to be repeatable for the rest of the digital inventory. Task 3: Digital Inventory Visually and digitally scan all BLM Idaho managed lands to capture required attribute data for each feature. Confirm data is sortable for field work and importable for records in AMSCM. Apply BLM-provided risk prioritization matrix to each feature. Conduct internal QA/QC prior to submission. Submit geospatial data that matches BLM’s format. Develop Federal Geographic Data Committee (FGDC)/Department of Interior (DOI)-compliant metadata documentation. Task 4: Work with BLM Idaho to develop an appropriate risk analysis, and proposed fieldwork plan to physically confirm high-risk, and high-density areas which pose the highest risk to human safety on public lands. Optional Task 5: If there is an area which would benefit from a higher quality of image resolution, e.g. QL-1 or QL-2 instead of the more readily available QL-3 data, and if the BLM has resources, they will build a plan to fly this area to obtain this higher quality data. Optional Task 6: Use BLM Idaho’s IMCT SOP to begin ground truthing …