NASA Applied Remote Sensing Training Program (ARSET)
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Transcript of NASA Applied Remote Sensing Training Program (ARSET)
NASA Applied Remote
Sensing Training Program (ARSET)
Dr. Ana. I. Prados Joint Center for Earth Systems Technology (JCET)University of Maryland Baltimore County
NASA GSFCCode 614, Atmospheric Chemistry and Dynamics Laboratory
NASA AQAST Meeting, June 13-15, 2012
Applied Sciences: Capacity Building
NASA sponsored activities and resources that build capability and skills to utilize NASA data for policy and environmental management in both the public and private sectors
NASA Applied Sciences: Capacity Building Programs
SERVIRDEVELOPGulf of Mexico InitiativeApplied Remote Sensing Training
GOAL:
Increase utilization of NASAobservational and modeldata for decision-support
Applied Remote Sensing Training (ARSET)
Objectives:
• Provide end-user communities and institutions with professional hands-on technical workshops
• Build long term partnerships with end-user communities and institutions in the public and private sectors
ARSET
DEVELOP
SERVIR
GOMI
NASA
Applied Sciences
PIs
NASA
Applied Research
NASA Data Centers
ARSET disseminates the usage of existing NASA data, web tools,
DecisionSupport Systems and applied research,in addition to collaborating with othercapacity building programs within
NASA
Health (Air Quality) (AQ) http://airquality.gsfc.nasa.gov/ • 2008 – present • 25 Trainings• +500 end-users
Water Resources and Disasters http://water.gsfc.nasa.gov/
• April 2011 – presentEcological Forecasting
• Est. 2013 Other Health and Disasters Application Areas • Est. 2014
ARSET Timeline
Air Quality 2008
2009 ARSET
Web Page Outreach
AQ ModelingFall 2009
Winter 2010
AQ Industry
West Coast
AQ Fall 2010
Fall 2011 First
Online
AQ/Health Fall 2011
Fall 2011
Water/Disaste
r
Snow/ET
2012
2013 Ecological Forecast.
Water (other)
Health/Disasters (other)
2014
Project LeadDr. Ana Prados (GSFC/UMBC)
Air Quality•Pawan Gupta (GSFC/GESTAR) •Richard Kleidman (GSFC/SSAI) •Yang Liu (Emory University)• Jacquie Witte (GSFC/SSAI)
Water & Disasters•Amita Mehta (GSFC/UMBC)•Tom Painter and Chris Mattmann (JPL/Caltech)
•Cindy Schmidt (AMES/Baeri)
Other Support •Marines Martins (GSFC/SSAI)•Annelise Carleton-Hug (Trillium A./Evaluation)
Students•Maria Stenborg (UMCP)•Alison Hoy (UMCP)
ARSET Team Members
ARSET Trainings at a Glance
Trainings have also been conducted in Costa Rica, Colombia, Canada, Italy, Australia, Singapore, and Vietnam
Number of NASA online or hands-on trainings per state.
ARSET Trainings at a Glance: International
Trainings have also been conducted in Costa Rica, Colombia, Canada, Italy, Australia, Singapore, and Vietnam and at the World Bank (Washington D.C)
ARSET Trainings by Societal Benefit Area
Health/Air Quality Water Resources Disasters 0
5
10
15
20
25
30
3532
8
1
Series1
Nu
mb
er
of
Tra
inin
gs
2009 – March 2013
ARSET Program Logic Model
ARSET Program Logic Model
ARSET Program Logic Model
ARSET Program Logic Model
Different language, expectations, and sometimes technical capacity
On Different Sides of the Fence
NASA Earth Science
Decision
Support
ARSETARSET
Knowledge gaps• Cost: Not aware that NASA data are
free• Data Access: Not aware of resources
available for easy access(e.g. web to order data)
• Benefits: Not aware of potential applications of NASA data to environmental management activities
Lack of institutional capacity:
Prioritization, lack of man-power and needed technical expertise
Barriers to NASA Data Utilization
Question 1
ARSET Best Practices
1. Trainers first: Skill building for NASA Scientists 2. Leveraging of multiple NASA resources - Applied Sciences Program PIs and applied research - NASA Data Centers - Other Capacity Building Programs 3. Gradual learning approach - ABCs of NASA Data: What and what for ? - Access and analysis - Application to decision-support 4. Heavily focused hands-on learning 5. Continued/ongoing interaction with end-users 6. Workshop Surveys 7. Ongoing Project Evaluation Plan
Basic Training:
•Individuals and institutions new to remote sensing•Trainings at professional conferences
Online Training (WebEx)• Overview of products to prepare for
advanced training Advanced Trainings
• Focused on a specific application/problem: for example impact of snow melt in California on stream flow
• Requires Base of WebEx training
Gradual Learning ApproachARSET Applied Sciences Workshops
• Public Sector: U.S EPA, USDA, BLM, NOAA, regional, state, county agencies, Tribal Nations, water resources managers, watershed and reservoir managers
• Private Sector: Industry, agricultural sector, NGOs • Attendees at Professional Conferences• Participants of NASA Campaigns
End-User Feedback:
• Positive reviews from ‘Training customer satisfaction surveys’.
• Continued requests for follow-up trainings: California Air Resources Board, LADCO
• Increase in number of end-users trained per year since 2008
• Students Becoming Teachers as trainers !
NASA Training for California Air Resources Board, Sacramento, CA December 2011
Seeking to better engage the NGO community, industry and
Tribal Nations in 2012+
Who is ARSET Training ?
ARSET Training for Lake Michigan Air Directors Consortium (LADCO)
NASA training in progress at the University of Wisconsin Madison facility. The course had 20 attendees from the Lake Michigan Air Directors Consortium (LADCO), Minnesota Pollution Control Agency, Michigan Department of Environmental Quality (DEQ), Wisconsin Department of Natural Resources, Idaho DEQ, Oklahoma DEQ, Indiana Department of Environmental Management, US Environmental Protection Agency (EPA) Region 5, Michigan Tech Research Institute and Environment Canada. End-user feedback from a NASA air quality online course held in February 2012 was used to tailor this training event to mid-western environmental management issues and to refine the agenda to focus on 1) less NASA products in greater detail and 2) inter-comparisons between NASA data and air quality model output.
• A three day in-person training on the use of NASA satellite data for air quality applications reached 20 attendees from federal agencies in the U.S and Canada and 6 state agencies in the U the mid western and central
• Co-sponsored by the NASA Applied Sciences Program and the Lake Michigan Air Directors Consortium (LADCO)
• Attendees learned how to apply NASA satellite data, imagery and web tools to air quality management problems in their region.
• Collaboration between LADCO member
states and AQAST: AQAST presentations held during the training.
• The workshop built basic skills on image access and interpretation.
• Participants prepared and presented air quality case studies of their choosing and provided feedback to NASA instructors on the utility of NASA resources.
Publicly available Modules
Case Studies
http://airquality.gsfc.nasa.gov/
Upcoming trainings
Identify Host Institution
End-user Needs Assessment
Adapt training modules
Conduct Training : Online
PresentationsHands-on activities
Case Studies
Project Evaluation: Surveys and Feedback
• Advertise via list-serv and Webpage
• Collaborate with NASA Applied Science PIs
• Collaborate with NASA Data Centers
• Work with Advisory Group
• Attend professional conferences
ARSET Training Workshop Lifecycle
Objectives: Provide the NASA Applied Sciences Program with ongoing feedback on:
1) ARSET project impact on end-user decision-making activities and changes in data utilization
2) End-user needs and barriers to utilization of NASA resources (in conjunction with parallel NASA AQAST project- Bryan Duncan/Ana Prados).
3) Type of environmental management activities where NASA resources are being integrated
NASA Remote Sensing Training Program Evaluation
Question 7 & 10
ARSET/AQAST Collaborations
ARSET can bring help you (AQAST PIs) disseminate appliedresearch results and methodologies.
Get involved in the planning of future ARSET trainings
Other ideas ?
Creating an Objective “AQAST Recommendations for Air Quality Satellite
Missions” Document for NASA Mission Planners
Bryan Duncan, PINASA GSFCCode 614, Atmospheric Chemistry and Dynamics Laboratory
Ana. I. Prados, co-IJoint Center for Earth Systems Technology (JCET)University of Maryland Baltimore County andNASA GSFCCode 614, Atmospheric Chemistry and Dynamics Laboratory
AQAST Tiger Team Project (Duncan)
Tiger Team Project Overview
Long Term Objective
Inform a NASA AQAST mission recommendations document by leveraging ARSET end-user interactions and program evaluation surveys
Identify Host Institution
End-user Needs Assessment
Adapt training modules
Conduct Training : Online
PresentationsHands-on activities
Case Studies
Project Evaluation: Surveys and Feedback
• Advertise via list-serv and Webpage
• Collaborate with NASA Applied Science PIs
• Collaborate with NASA Data Centers
• Work with Advisory Group
• Attend professional conferences
ARSET Training Workshop Lifecycle
Tiger Team: Missions Recommendations
Document
NASA PI Surveys
ARSET Program Logic Model
Tiger Team Project Overview
Short Term Objectives
• Identify Data Needs: What do end-users see as their most pressing near-immediate data needs for:
regulatory activities health applications other policy formulation
NOx, ozone or PM2.5 monitoring, better emissions inventories, model evaluation ?
• Identify Barriers to Data Utilization: why are NASA resources not being used or why weren’t they used in the recent past (prior to ARSET or another intervention)
Possible barriers Lack of knowledge of data availability
Problems with data access dataLack of suitability of data for applicationsInstitutional/organizational barriers that inhibit use of NASA data
Recommendations for overcoming noted barriers
Methodology and Timeline 1) Establish end-user parameters (Summer 2012): Defining the population sample (include ARSET advisory group members).
Federal/state/local/Tribal Private sector (for profit) NGOs
2) Identify +8 key informants (Summer 2012) (OMB restriction) Both end users who ARE and who ARE NOT using NASA
resources Interviews with informants will be conducted by ARSET
external evaluator Annelise Carleton-Hug Interview responses will be used to inform subsequent
online survey questions for ARSET and Tiger Team project
3) Prepare interview guide and conduct interviews (Summer 2012) Both end-users and NASA scientists4) Provide interim report to AQAST (Fall 2012).
Methodology and Timeline
5) Develop online survey (Fall 2012)
6) Survey +500 ARSET attendees after OMB approval (Winter 2013)
7) Final report to AQAST (Winter/Spring 2013).
Methodology: Sample End-users QuestionsConducted by external evaluator
Are there critical data missing? Describe the kind of data you would like to have available that would help you do your job more efficiently and effectively. Now let’s focus on your experience with the NASA data products. Can you describe for me how you (or others in your office/agency) are currently using NASA data products?
[for interviewees who are not using NASA data] If you’re not currently using NASA data, please explain the reasons for not using the data. We are very interested in learning about the barriers or challenges that prevent you from using the data, so please be specific.
Do some AQ professionals consider that the NASA data is not suitable for their applications? Can you explain in what ways the data might not be suitable? What are some suggestions to improve the suitability of the data?
Interview key NASA civil servants** involved with satellite dataproduct development and mission planning (e.g. Aura, Earth
Venture).
***No OMB limit for civil servants !!! ****
Potential questions:1) What are the key challenges in using satellite data for AQ
applications?2) What are the barriers/impediments to utilization of NASA data
products among AQ applications end-users ?3) Are the current planned missions (NASA, ESA, or other)
adequate for meeting the needs of the AQ applications end-users ?
Methodology: Sample Scientist QuestionsConducted by Bryan Duncan and Ana Prados
ARSET or
Questions ?
Collaboration with other Tiger Teams
DISCUSSION ?
Back up slides
3) Utilization of image analysis tools
1) Access to NASA imagery2) Access to other data: model,
in-situ, etc.
4) Assessment: Precipitation propagation and its geographical impacts.
Case Studies and Hands-On ActivitiesExercises with Step-by-Step Instructions
Question 1: scientific/technological & question 3
GEOSS Hydrological and Space network of Information for Latin American and the Caribbean
(CIEHLYC) )
• Representatives from South and Central America and the Caribbean.
• Colombian Floods in May 2011: TRMM rain rate, AIRS clouds, MERA winds.
• Climate variability and El Niño/Niña over south America: TRMM rain rate, AIRS Sea Surface Temperature (SST).
• Access to snow cover imagery in Chile and Argentina from MODIS and MERRA (model).
Cartagena, Colombia Water TrainingNovember 28-29, 2011