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A-450 Small UAS Basic Remote Pilot

This is the fundamental small UAS course for individuals wanting to become qualified to operate small UAS for the Department of the Interior (DOI)/US Department of Agriculture's Forest Service (USDA-FS). A-450 will utilize small UAS aircraft (less than 55lbs) to provide the basic academic and flight training necessary to conduct missions as Remote Pilot-in-Command (RPIC) for DOI/FS.

Candidates must be nominated by National UAS Program Managers or designee.

Students should meet the prerequisite requirements prior to attending A-450. Some required IAT courses may not be available prior to A-450 training selection, but UAS pilots must complete all IAT training requirements within 6 months of A-450 selection.

Note: For further information, contact your DOI National Aviation Manager or USFS Regional UAS Specialist for guidance regarding how to begin a UAS program.


M-3 Aviation Management Training for Supervisors

This course provides mandatory training required for all DOI managers and supervisors who are responsible for administering oversight of programs that utilize aviation personnel and resources, both manned and unmanned (UAS/Unmanned Aircraft Systems), to accomplish missions and flight activities.

Note: This course meets the DOI requirements of 352 DM (1.5 B)

A-200 Mishap Review

This course provides an annual overview of the National Transportation Safety Board releasable information from the DOI and USDA-FS aviation mishaps and lessons learned. Instructors authorized to teach this course are required to coordinate with the appropriate agency DOI OAS Chief, Aviation Safety, Training, Program Evaluations & Quality Management, or USDA-FS Regional Aviation Safety Manager (RASM).

For additional USDA-FS information, contact the USDA-FS National Aviation Training Program Manager.

Integrated Charge Card Program Overview (170601) 
Purchase Business Line (170602) 
Travel Business Line (170603) 
IG Fraud Waste and Abuse

This course is the IG video

Basics of Museum Collections Care

This course is designed as an introduction to basic concepts of museum collections care and management for DOI employees, collateral duty employees, contractors, and volunteers. This course will help you to identify when it is appropriate and necessary to call a curator, conservator, or specialist.

Supervisory Skill and Competency Refresher

Departmental policy and section 412.202 of title 5, Code of Federal Regulations require all supervisors to receive and complete supervisory refresher training every three years of their career as a supervisor.  This certification has been assigned to you as a supervisor of record in the Department who is required to complete supervisory refresher training. 

To meet this requirement you will need to create a supervisory IDP to track your progress towards your supervisory development goal.   

This course is a self certification for the creation of a supervisory Refresher IDP. This course will be a part of the Supervisory Refresher certification and when a user creates and completes a supervisory IDP the user will mark this complete.

Privacy for System Managers (RBPT)

This course is designed to provide Privacy Act System Managers with guidance on the handling and safeguarding of privacy protected information in the course of performing official duties in compliance with the Privacy Act and related privacy laws and policies.

DOI Incident Response (IR) Overview

This course is designed to provide staff with Privacy or Significant Security responsibilities with an Overview for departmental Incident Response (IR) policy and guidance. Learners will develop an understanding of guidance related to incidents and events. Training Objectives: • Define terms, identify organizations, and outline the general functions of a Computer Security Incident Response Team (CSIRT).

  • Awareness of laws, Departmental policies, and procedures, and will identify best practices employed to protect against these threats.
  • Understand scenarios to build IR skills and identify potential issues that may be encountered during the IR processes. 


Subject Matter Expert: Lance Kelson


Information Management and Technology (IMT) Awareness Training
Target Audience: New Employees

Description:  As a part of the mandatory initial and annual Information Management and Technology (IMT) training, this course fulfills legal requirements for:

  • Privacy Awareness
  • Paper Reduction Act
  • Records Management Awareness
  • Section 508 Awareness
  • Federal Information System Security Awareness (FISSA)
  • Annual acknowledgement of Rules of Behavior for Computer Network Users
BIA Travel eBook 
Nature's Notebook How To--Retired

Target Audience:  Materials will be used by the thousands of participants already registered as users of Nature’s Notebook, including USGS, NPS, BLM and USFWS professionals, as well as new participants from a variety of disciplines and backgrounds.

Course Summary and Objectives:  A presentation to help you use Nature's Notebook for recording species (plants and animals), phenology, and other biological/environmental activities within a site you choose to observe.

This course will provide you with step-by-step instructions for getting started with tracking plant and/or animal phenology using Nature’s Notebook. You will learn a standardized approach to observing phenology; these methods have been broadly vetted, published in the peer-reviewed literature, and can be adapted to a variety of questions, sampling designs and ecosystems.

Performance Objectives:  At the conclusion of this course, you will be able to:

  • Navigate through the Nature’s Notebook program.
  • Recognize relationships between plant and animal seasonal life cycle events (phenology) and environmental variation including climate change.
  • Design and implement a phenology monitoring program in a variety of settings to enhance existing science, management and outreach/education goals.
  • Recognize the value of phenology to research, natural resource management, and decision-making.
Duration:  1 hr

Surface-Water Procedures and Policies

Intended Audience:  Any scientist who performs surface-water data collection activities. 

Course Summary and Objectives:  This is an introductory course.This course is designed to introduce and review basic procedures that underlie much of what is done in the field and office when producing daily and instantaneous values of streamflow discharge.

  • Demonstrate basic procedures used to collect surface-water data.
  • Explain why we use those procedures.
  • Define why USGS employs these procedures where we do.
  • Demonstrate safe conduct of these procedures.

Duration:  6 hours

Course restoration in progress 
Sampling-Based Estimation of Area and Map Accuracy

Audience:

Individuals who will benefit from this course include: 
  1. Remote sensing specialist in countries reporting to REDD+ 
  2. Officials working on uncertainty and data analysis for carbon accounting 
  3. Students of remote sensing in forestry applications 
Course Summary and Objectives:

Reducing emissions from deforestation and forest degradation and the role of conservation, sustainable management of forests and enhancement of forest carbon stocks in developing countries (REDD+) is a framework under the United Nations Framework Convention on Climate Change (UNFCCC) with the goal of building international cooperation to achieve climate mitigation from forests.    

A core element of REDD+ MRV is the monitoring and tracking of forest conversions to other lands due to human activities.  Satellite information is the data source with enough periodicity and coverage to provide information on land use, type and intensity of land changes, deforestation and forest degradation. In order to meet REDD+ reporting criteria of unbiasedness and uncertainty quantification, sampling-based approaches for the estimation of area and map accuracy are necessary. This e-learning course will introduce participants to the concept, rationale and how-to of sampling-based estimation. 

Please Note:  This course is available in different languages.  Please select the best one for you:
The online version of this course runs on the latest versions of Chrome and Safari. There is no downloadable version of the course currently. 

Duration:  Approximately 2 hours.  



Sampling-based Estimation of Area and Map Accuracy--Spanish Version

USGS Logo

Audiencia:

Las personas que se beneficiarán de este curso incluyen:

1. Especialista en teledetección en países que reportan a REDD +

2. Funcionarios que trabajan en análisis de datos e incertidumbre para la contabilidad del carbono

3. Estudiantes de teledetección en aplicaciones forestales

Resumen y objetivos del curso:

La reducción de las emisiones derivadas de la deforestación y la degradación forestal y el papel de la conservación, la gestión sostenible de los bosques y la mejora de las reservas de carbono forestal en los países en desarrollo (REDD +) es el contexto de la Convención Marco de las Naciones Unidas sobre el Cambio Climático (CMNUCC) con el objetivo de crear cooperación para lograr la mitigación climática de los bosques.

El elemento central de REDD + MRV es el monitoreo y seguimiento de conversiones de bosques a otras tierras debido a actividades humanas. La información satelital es la fuente de datos con suficiente periodicidad y cobertura para proporcionar información sobre el uso de la tierra, el tipo y la intensidad de los cambios en la tierra, la deforestación y la degradación forestal. Para cumplir con los criterios de reportes de REDD + de cuantificación de imparcialidad e incertidumbre, es necesario hacer enfoques basados ​​en muestreo para la estimación de la precisión del área y del mapa. Este curso presenta a los participantes el concepto, la justificación y los procedimientos para la estimación basada en las técnicas de muestreo.

 Requisitos del sistema

 La versión en línea de este curso se ejecuta en las últimas versiones de Chrome y Safari. Actualmente no hay una versión descargable del curso.

Duración: Aproximadamente 2 horas.

Please Note:  This course is available in different languages.  Please select the best one for you:

Comience haciendo clic en el enlace ("Muestreo") debajo del tema "Curso de aprendizaje electrónico".


Sampling-based Estimation of Area and Map Accuracy--Vietnamese Version

Audience:

Individuals who will benefit from this course include: 

1.     Remote sensing specialist in countries reporting to REDD+ 

2.     Officials working on uncertainty and data analysis for carbon accounting 

3.     Students of remote sensing in forestry applications 

Course Summary and Objectives:

Reducing emissions from deforestation and forest degradation and the role of conservation, sustainable management of forests and enhancement of forest carbon stocks in developing countries (REDD+) is a framework under the United Nations Framework Convention on Climate Change (UNFCCC) with the goal of building international cooperation to achieve climate mitigation from forests.    

A core element of REDD+ MRV is the monitoring and tracking of forest conversions to other lands due to human activities.  Satellite information is the data source with enough periodicity and coverage to provide information on land use, type and intensity of land changes, deforestation and forest degradation. In order to meet REDD+ reporting criteria of unbiasedness and uncertainty quantification, sampling-based approaches for the estimation of area and map accuracy are necessary. This e-learning course will introduce participants to the concept, rationale and how-to of sampling-based estimation. 

Please Note:  This course is available in different languages.  Please select the best one for you:

System Requirements 

The online version of this course runs on the latest versions of Chrome and Safari. There is no downloadable version of the course currently. 

Duration:  Approximately 2 hours.  


Sampling-based Estimation of Area and Map Accuracy--French Version

Audience:

Individuals who will benefit from this course include: 

1.     Remote sensing specialist in countries reporting to REDD+ 

2.     Officials working on uncertainty and data analysis for carbon accounting 

3.     Students of remote sensing in forestry applications 

Course Summary and Objectives:

Reducing emissions from deforestation and forest degradation and the role of conservation, sustainable management of forests and enhancement of forest carbon stocks in developing countries (REDD+) is a framework under the United Nations Framework Convention on Climate Change (UNFCCC) with the goal of building international cooperation to achieve climate mitigation from forests.    

A core element of REDD+ MRV is the monitoring and tracking of forest conversions to other lands due to human activities.  Satellite information is the data source with enough periodicity and coverage to provide information on land use, type and intensity of land changes, deforestation and forest degradation. In order to meet REDD+ reporting criteria of unbiasedness and uncertainty quantification, sampling-based approaches for the estimation of area and map accuracy are necessary. This e-learning course will introduce participants to the concept, rationale and how-to of sampling-based estimation. 

Please Note:  This course is available in different languages.  Please select the best one for you:

System Requirements 

The online version of this course runs on the latest versions of Chrome and Safari. There is no downloadable version of the course currently. 

Duration:  Approximately 2 hours.  

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