Introduction:

This e-learning course will introduce you to the idea of continuous degradation detection, or CODED, and how it can be used to monitor and forecast forest health. By taking this course you will learn about:

1. The challenges of forest degradation monitoring

2. The methodology and purpose of CODED algorithm

3. Spectral un-mixing and the Normalized Difference Fraction Index (NDFI)

4. How degradation and natural disturbances are distinguished from deforestation

Audience:

Who will benefit from this course include:

1. Remote sensing specialist in countries reporting to REDD+

2. Officials working on understanding the role of forest degradation on carbon emission

3. Students of remote sensing in forestry applications

4. Individuals interested in estimation of land cover change using earth observation

Duration:

Approximately 2 hours

Introduction:

This e-learning course will introduce you to the idea of continuous degradation detection, or CODED, and how it can be used to monitor and forecast forest health. By taking this course you will learn about:

1. The challenges of forest degradation monitoring

2. The methodology and purpose of CODED algorithm

3. Spectral un-mixing and the Normalized Difference Fraction Index (NDFI)

4. How degradation and natural disturbances are distinguished from deforestation

Audience:

Who will benefit from this course include:

1. Remote sensing specialist in countries reporting to REDD+

2. Officials working on understanding the role of forest degradation on carbon emission

3. Students of remote sensing in forestry applications

4. Individuals interested in estimation of land cover change using earth observation

Duration:

Approximately 2 hours

Target Audience:  

1. Remote sensing specialist in countries reporting to REDD+
2. Officials working on understanding the role of forest degradation on carbon emission
3. Students of remote sensing in forestry applications
4. Individuals interested in estimation of land cover change using earth observation

Summary and Objectives:  This e-learning course will introduce you to the implementation of Landsat-based detection of Trends in Disturbance and Recovery (LT) Algorithms in Google Earth Engine (LT GEE), and how it can be used to monitor and forecast forest health.

By the end of this course, you will have learned about:

1. How LandTrendr algorithms distinguish the disturbances and changes in the forest in a different time series.
2. The methodology and purpose of the LandTrendr algorithms (LT-GEE).
3. Explore and identify the requirements to run each LT algorithm in GEE.

Course Contact:  Monica Jeada  mjeada@contractor.usgs.gov or Sylvia Wilson snwilson@usgs.gov

Target Audience:  REDD+ reporting managers

Summary and Objectives:  This e- learning module has been developed as a collaboration between the US SilvaCarbon program as one of GFOl's capacity building leads together with their partners at The Nature Conservancy and Conservation International.

The purposes of this e-learning module are to provide background and context for REDD+ through the analysis of the key decisions adopted by the United Nations Framework Convention on Climate Change's COP. Review the range of REDD+ standards and financing options that already exist, and the major reporting differences between these different standards. It also highlights, guess, emerging developments that may impact REDD+ standards, financing and reporting going forward.

And finally, it provides a comprehensive list of resources for participants to consult, particularly countries in helping them to consider which REDD+ scheme may best suit their own unique national needs.

Goals 

1. To provide background and context of the UN Climate Change initiative, Reducing Emissions from Deforestation and Forest Degradation plus the role of enhancing forest carbon stocks through conservation, protection, and sustainable forest management (or REDD+) through the major decisions adopted at the UNFCCC COPs (reiterate the importance of these decisions in (1) driving the standards designs and (2) financing needs/options available).
2. To review the range of REDD+ standards that exist, the financing options that currently exist, and the major reporting differences that exist amongst the standards.
   
3. To provide an overview of selected REDD+ standards for which methodologies and financing exist.
   
4. To highlight the emerging developments that may impact REDD+ standards, financing and reporting.
   
5. To provide a comprehensive list of additional resources for the -learning participants to consult.
   

Course Contact:  Monica Jeada (202) 394-5059 mjeada@contractor.usgs.gov or Sylvia Wilson (571) 286-0680 snwilson@usgs.gov 

Target Audience:  Remote sensing specialists in countries reporting to REDD+, officials working on uncertainty and data analysis for carbon accounting, and students of remote sensing in forestry applications

Summary and Objectives:  Google Earth Engine (GEE) developed a robust visualization and analysis tool that help to perform a complex geospatial analysis in both local and global scale. Earth engine is a useful tool for scientists, researchers, and non-traditional users around the globe in monitoring and forecasting forest health. And it became a container or environment for developing and applying different applications and tools that help in monitoring and observing changes and trends in forest in different time series.

To meet REDD+ reporting criteria of unbiasedness and uncertainty quantification, google earth engine platforms are necessary and indispensable for reporting and monitoring forest carbon stock and providing information on land use, deforestation and forest degradation.

To introduce participants to the concept, platforms and applications of google earth engine (GEE).

You will learn about

1. What the google earth engine and how it works 
2. Accessing google earth engine.
3. Google earth engine platforms and applications
4. Geospatial data available in google earth catalog
5. The strength of google earth engine

Course Structure

• E-learning: Google earth engine
• Concepts
• Platforms 
• Applications
• Course Self-assessment Questions

Course Contact:  Monica Jeada mjeada@contractor.usgs.gov or Sylvia Wilson snwilson@usgs.gov

Target Audience:  Individuals who will benefit from this course include:

1. Remote sensing specialists in countries reporting to REDD+
2. Officials working on uncertainty and data analysis for carbon accounting
3. Students of remote sensing in forestry applications

Summary and Objectives:  This e-Learning course will introduce you to the implementation of the BULC algorithm in Google Earth Engine, or BULC and how it can be used to monitor and forecast forest health. By the end of this course, you will learn about:

1. How BULC algorithms distinguish the disturbances and changes in the forest in a different time series.
2. The methodology and purpose of the Bayesian Updating of Land-Cover algorithm.
3. Explore the requirements to run the BULC algorithm.

This course requires a basic understanding of the use of the Google Earth Engine platform.

System Requirements:  The online version of this course runs on the latest version of Microsoft edge, Firefox, Chrome and Safari. There is no downloadable version of the course currently.

Course Contact:  Monica Jeada mjeada@contractor.usgs.gov or Sylvia Wilson snwilson@usgs.gov

Target Audience:  All financial disclosure filers and other covered employees as designated by the Bureau or Office Ethics Counselor. 

Summary and Objectives:   An online presentation including PowerPoint video and interactive questions that will remind DOI employees the Executive Ethics Rules including criminal conflict of interest statutes, Employee Standards of Conduct, and the DOI supplemental ethics regulations.

Target Audience:  New DOI employees who were directed to complete this training prior to onboarding.

Summary and Objectives:  The Controlled Unclassified Information (CUI) Module is an introduction to the Federal CUI Program that was authorized by 32 CFR Part 2002, Controlled Unclassified Information (CUI), released September 14, 2016 and went into effect November 14, 2016. This course covers:

• Purpose, goals and objectives
• Introduces key CUI terminology and concepts
• Covers CUI practices (designating, handing, marking, safeguarding and decontrol)
• Summarizes how the CUI relates to other information and information management programs
• Introduces the CUI Programs driving authorities
• Covers the Federal CUI Program implementation requirements, compliance timeline and Interior's Implementation Compliance Plan.

Target Audience:  USGS Water Science Center Employees

Summary and Objectives:  The use of the index-velocity method has benefitted the USGS stream gaging program by providing a means to obtain more accurate streamflow data in challenging measurement environments. The goal of this online course is to provide students with the basic knowledge needed to attend the SW1319 Streamflow Record Computation Using ADVMs and Index-Velocity Methods training course, including a familiarity of:

• • The index-velocity method and when it should be used
  • Acoustic measurement theory
  • Reconnaissance techniques and site selection
  • Types of ADVMs
  • ADVM mounts and installation options
  • Basic ADVM configuration settings

The course also is a valuable refresher for students who are already familiar with the index-velocity method.

Course Contact:  Travis Knight (239) 579-6068 tknight@usgs.gov

Target Audience:  ​Any persons assisting with the Wild Horse & Burro Program including BLM employees, Contractors, and Partners.

This 1 hour long annual training class will provide learners with an overview of the comprehensive animal welfare standards that apply to Off-Range Corrals, Transportation and Adoption/Sale Events and an overview of the following:

• What is Animal Welfare?
• Why is Animal Welfare Important?
• What is the CAWP?
• What is the purpose of the WHB CAWP?
• What components make up the CAWP?
• How do the elements of the CAWP work?
• How the assessment process works.
• Required documentation and what are the responsibilities of the authorized officer.

Course Objectives: Completion of this course will enable you to:

• Understand the importance of Animal Welfare.
• Learn the standards of the CAWP for Off-Range Corrals, Transportation, and Adoption/Sale Events.
• Be informed on the CAWP assessment process at Off-Range Corrals, Transportation, and Adoption/Sale Events.

Target Audience:  All DOI employees who wish to obtain the bicycle subsidy benefit.

Description:  This course will provide an overview of the Federal government's bicycle subsidy benefit.  It will discuss benefit requirements, internal controls and participant roles and responsibilities.  Successful completion of this course is required for DOI employees who wish to obtain the bicycle subsidy benefit in FY 2025.

Target Audience: All DOI employees who wish to obtain transit benefits in FY 2025.

Description: This course will provide an overview of the Federal government's transit benefit. It will discuss benefit requirements, internal controls and participant roles and responsibilities. Successful completion of this course is required for DOI employees who wish to obtain transit benefits in the FY 2025.

Target Audience:  Hydrographers who work with sediment acoustic index method.

Summary and Objectives:  This web-based course will teach hydrographers the basic fundamentals of the sediment acoustic index method, using a single frequency ADVM, and how to establish a sediment acoustic index station. The material presented will summarize and augment information in the USGS Techniques and Methods 3C-5 report “Sediment Acoustic Index Method for Computing Continuous Suspended-Sediment Concentrations”. This web-based course provides introductory material and is a prerequisite to the full, week-long USGS course H-17-037 Acoustic Index Method for Estimating Fluvial Suspended Sediment. The course also is a valuable refresher for students who are already familiar with the sediment acoustic index method.

Course Contact: Paul Diaz Jr pdiaz@usgs.gov

This course will introduce you to the Archeological Resources Protection Act (ARPA), a critical piece of legislation that preserves and safeguards archeological sites across the United States. You’ll learn ARPA concepts through videos and audio clips, along with an in-depth review of an ARPA case and interactive course activities.  When you complete this 2 to 3 hour course, you will have a foundation for response to actual cases, field practice with an ARPA team, and more advanced learning.

Objectives:

• Explain how an understanding of ARPA processes, laws, and law enforcement (LE) investigative techniques help you do your job to protect resources.
• Describe the six Elements of ARPA
• Explain the types and purposes of ARPA documentation.
• Explain your role in an ARPA investigation.
• Describe the role and responsibilities of the Assistant U.S. Attorney in ARPA cases.
• Create an ARPA go-kit and preparedness plan.

Target Audience:

Archeologists, law enforcement officers, cultural resource specialists, legal professionals, superintendents, or any other professional responsible for protecting the nation's cultural resources.

As the foundational required course for the NCSP, this training provides a brief introduction to NPS Chainsaw Safety Policy, including terminology and concepts that provide the foundation for safe chainsaw operations. By completing this training, you will fulfill one prerequisite to being qualified as a Sawyer, Working Faller, Journey Level Faller, or Master Faller on NPS lands. Once you fulfill all required prerequisites and competencies, you may request qualification review by an NPS Competency Evaluator or register for training to build competencies to prepare for evaluation at any level.