AML_work_statement_1.docx

STATEMENT OF WORK (SOW)

Digital AML Inventory Services Bureau 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 (conducting physical inventory) the AML sites.

Optional Task 7:

· Document the process in a final report that can be used to export this model to other federal agencies for conducting this type of inventory.

4. Project Area Geographic Area: BLM managed land within the borders of BLM Idaho (see Section 10)

· Idaho Acreage: ~12,000,000 Estimated Number of AML Features: 14000 – 15,000 (9,000 existing in AMSCM already)

· As a baseline for this analysis BLM Idaho took US Geological Survey (USGS) Topographically Occurring Mine Symbols (TOMS) symbols and conducted an initial analysis of known areas where BLM Idaho felt as though they completed a thorough inventory. The number of actual AML features against TOMS data was compared to reveal a rough ratio of what we should expect within each field office of actual featuresvs. how many TOMS are present. That ratio range was 1:3 – 1:15 and BLM Idaho contract POC feels about 70% confident in that ratio which yielded a rough projection of about 14,000-15,000 AML features on BLM-managed lands in Idaho.

5. Contractor Requirements The Contractor is required to provide all labor, supplies, and equipment needed to conduct work in this work requirement. All work shall be performed in accordance with this statement of work and all federal, state and local laws and regulations. To some degree, productivity will be dependent on available GIS data, technology limitations, and unforeseen issues.

The government recommends that features are identified with human eyes to record and confirm feature location(s) in the form of lines, points and polygons. The contractor can discuss with the government how they can use machine learning or other technology to complete the inventory to the same standard as achieved by the human eye.

Attributes to be collected:

Confirm that existing AMSCM data is valid and present in the LiDAR data, and annotate where (if any) AMSCM data seems to be misrepresented.

In some cases data may have been collected using analog methods, or perhaps different standards. The contractor will identify those anomalies and make proposed corrections based on the data standards, and what they are seeing on the maps/imagery.

Type of feature (Potential Adit, Potential Shaft, Potential Waste Rock Dump, etc.).

Standard Naming Nomenclature.

Proximity to known human activities like roads/trails, campgrounds, or other places where people are regularly present and have a high likelihood of interacting with the feature.

· This may require interviews with BLM staff to help determine unofficial human presence in some cases.

Risk level, (from mutually developed risk matrix) Data validation and transfer to BLM should occur on a monthly basis as to not lose any data.

The data transfer can be electronic or supplied on a storage device. The final dataset will be submitted as an Abandoned Mines Feature spreadsheet of inventoried features, with all applicable data. The data will be quality checked by a BLM approved method prior any transfer to the BLM.

6. Government Furnished No government furnished property is provided for this project. BLM will provide:

· A copy of documents outlining how BLM Idaho developed this project.

· BLM Idaho Proposed Process

· BLM Montana, Dillon Field Office, test case

· BLM California, documentation of the physical inventory they did

· Idaho Mine Closure Team (IMCT) SOP for reference on how we have done the work

· A copy of the AMSCM data schema.

· A copy of the AMSCM data BLM Idaho already has for AML sites/features.

· A copy of the TOMS kmz file for the contractor, if they cannot obtainit themselves.

· The LiDAR layers BLM Idaho has accumulated so far to complete the task, if they are not able to find better data.

· See section 12 for an example.

· A copy of the GIS data for the lands that BLM Idaho manages.

7. Deliverables and Schedule Task 1: Contract Administration Kick Off Meeting (within 30 days of award).

Project Work Plan and Schedule (Within 45 days of Award).

Creation of data sharing platform so that the BLM and the contractor can access the information and transfer information efficiently.

Monthly update meetings, performance report, and data submission.

Final Geodatabase with all required attributes populated. This will be sortable by risk categories to help prioritize field work.

Metadata package that meets DOI standards.

Risk analysis report with contractor’s recommendation on prioritization for field ground-truthing of digital data at high-risk and high-density sites.

QA/QC Certification Statement.

Task 2: Project Planning and Document Review

· Host collaborative meetings to discuss approach to project, culminating in a document about initial approach (process) to validate for the project.

· An email to confirm the contractor has sufficiently detailed GIS data and imagery to begin the project and meet the projects objectives

· Create two concise sample inventory reports and presentations from northern Idaho in the Silver Valley, and in Southern Idaho near Silver City, to demonstrate the effectiveness of the initial approach.

· Make necessary recommendations on adjustments to the process to ensure the project achieves its objectives in the most efficient way possible

· Present those to BLM Idaho and facilitate discussion on any revisions to the process.

· If necessary refine and create a new document demonstrating the standardized process to be repeatable for the rest of the digital inventory.

Task 3: Digital Inventory

· Digitally scan all BLM managed lands to capture required attribute data for each feature, estimated 14,000-15,000 features, 9,000+ of which are already identified.

· All data will go into a central database/spreadsheet

· Confirm data is sortable by the fields in the AMSCH schema, 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.

· Once competed, facilitate the efficient transfer of the data to the BLM.

· Monthly as we go, and cumulatively at the conclusion of the project.

Task 4: Field Workplan

· After Task 3 is complete, create a report and presentation demonstrating 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 exercised, obtain data at the agreed upon level, in the agreed upon areas.

· Conduct Task 3 in that area again.

Optional Task 6:

· If executed, develop field work plan, and present to BLM Idaho and appropriate field office(s)

· Conduct field work collecting all the applicable data in the inventory section of the IMCT SOP

· Facilitate the transfer of all data to the BLM’s records management system.

Optional Task 7:

· If executed, prepare an intuitive, and concise report documenting the process, and articulating the positives aspects of the project, and the shortcomings that future similar projects could use to have a better outcome.

· The purpose of this report would be a repeatable model that other federal agencies could use for this type of work.

Period of Performance end date is April 3, 2028.

8. Inspections and Acceptance All work shall be subject to acceptance by the Contracting Officers Representative. Acceptance criteria is based upon accuracy, conformity and timeliness of submissions. The COR will provide the contractor feedback within 5 working days after receipt of the information. Should any data be lost, corrupted, or inaccurate the contractor will be required to reperform the information.

All required fields populated and validated.

Risk matrix applied to all inventoried features.

Metadata approved by BLM.

Written acceptance by the Contracting Officer’s Representative (COR).

9. Data Ownership & Rights All data, imagery, field notes, and derivative products generated under this contract shall be the property of the Bureau of Land Management. Data shall not be externally distributed without written authorization.

10. Maps

12. Examples of existing imagery for BLM Idaho AML SitesPotential Adits & Waste Rock Piles Potential Sheer Face Potential Prospect Pits Pit Potential Prospect Trench image1.png image2.png