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Workshop: Integrated Systems for Agriculture 30 July 2006 Organizing Committee Verne Kaupp & Tim Haithcoat University of Missouri and Charles Hutchinson University of Arizona Applied Sciences PROGRAM SUPPORT

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Page 1: Workshop: Integrated Systems for Agriculture 30 July 2006 Organizing Committee Verne Kaupp & Tim Haithcoat University of Missouri and Charles Hutchinson

Workshop: Integrated Systems for Agriculture

30 July 2006

Organizing Committee

Verne Kaupp & Tim HaithcoatUniversity of Missouri

andCharles Hutchinson

University of Arizona

Applied Sciences PROGRAM SUPPORT

Page 2: Workshop: Integrated Systems for Agriculture 30 July 2006 Organizing Committee Verne Kaupp & Tim Haithcoat University of Missouri and Charles Hutchinson

Workshop: Integrated Solutions for Sustainable Resources

30 July 2006

Organizing Committee

Verne Kaupp & Tim HaithcoatUniversity of Missouri

andCharles Hutchinson

University of Arizona

Applied Sciences PROGRAM SUPPORT

Page 3: Workshop: Integrated Systems for Agriculture 30 July 2006 Organizing Committee Verne Kaupp & Tim Haithcoat University of Missouri and Charles Hutchinson

THE NASA APPLIED SCIENCES PROGRAM

• Extends benefits to society from NASA Earth Science Program,• Fills gap between Earth-science results and operational uses,• Promotes uses of measurements and models for

– Enhanced decisions support capabilities for twelve applications of national priority at

• Partnering Federal agencies, and from them to• Government agencies at all levels.

Ecological Forecasting

AgriculturalEfficiency

Air Quality Aviation

Energy Management

CarbonManagement

Homeland Security

Disaster Management

Coastal Management

InvasiveSpecies

WaterManagement

PublicHealth

Page 4: Workshop: Integrated Systems for Agriculture 30 July 2006 Organizing Committee Verne Kaupp & Tim Haithcoat University of Missouri and Charles Hutchinson

WORKSHOP AGENDA – AM

• Welcome & Logistics (Verne Kaupp)• Part I – Understanding the NASA Applied Sciences

Program– Purpose of Workshop– Goal(s) of Workshop– Introduction & Concepts of the ISS Process– Rapid Prototyping Capability

• Part II – Examining a successful example of the program– Integrated Systems for Agriculture

• PECAD/FAS/USDA (Ed Sheffner & Brad Doorn)

• Break• Part III – Introducing the next generation of NASA science

missions (Steve Volz)– Current – Traditional land-imaging Missions– Future – Focus on next generation observing systems and their input for

science• CloudSat• CALIPSO

• Part IV – Questions & Answers (All)

• 8:00

• 9:00

• 10:00• 10:30

• 11:30

Page 5: Workshop: Integrated Systems for Agriculture 30 July 2006 Organizing Committee Verne Kaupp & Tim Haithcoat University of Missouri and Charles Hutchinson

WORKSHOP AGENDA – PM

• Welcome & Logistics (Verne Kaupp)• Part I – Understanding the NASA Applied Sciences

Program– Purpose of Workshop– Goal(s) of Workshop– Introduction & Concepts of the ISS Process– Rapid Prototyping Capability

• Part II – Examining a successful example of the program– Integrated Solutions for Sustainable Resources

• SERVIR (Danny Hardin)

• Break• Part III – Introducing the next generation of NASA science

missions (Steve Volz)– Current – Traditional land-imaging Missions– Future – Focus on next generation observing systems and their input for

science• CloudSat• CALIPSO

• Part IV – Questions & Answers (All)

• 1:00

• 2:00

• 3:00• 3:30

• 4:30

Page 6: Workshop: Integrated Systems for Agriculture 30 July 2006 Organizing Committee Verne Kaupp & Tim Haithcoat University of Missouri and Charles Hutchinson

WECOME & LOGISTICS

Page 7: Workshop: Integrated Systems for Agriculture 30 July 2006 Organizing Committee Verne Kaupp & Tim Haithcoat University of Missouri and Charles Hutchinson

Applied Sciences Homepagehttp://science.hq.nasa.gov/earth-sun/applications/index.html

NASA Earth Science Homepagehttp://science.hq.nasa.gov/earth-sun/index.html

NASA Science Mission Directoratehttp://science.hq.nasa.gov/index.html

Applied Sciences Program Implementation Working Grouphttp://aiwg.gsfc.nasa.gov/

SOME USEFUL URLs

Page 8: Workshop: Integrated Systems for Agriculture 30 July 2006 Organizing Committee Verne Kaupp & Tim Haithcoat University of Missouri and Charles Hutchinson

• Inform participants about how to plan to work in the NASA Applied Sciences Program in general and about the next generation of research missions in particular that are becoming available. The workshop is organized into four distinct parts to achieve this. These are:– Part 1: Introduce the Applied Sciences Program functional

framework, known as Integrated Systems Solutions (ISS) and the various concepts and definitions needed to prepare a proposal for submission to the next Applied Sciences Program solicitation opportunity,

– Part 2: Illustrate the application of the concepts via an example

– Part 3: Focus on the next generation (future) NASA missions and their non-traditional flavor (e.g., CloudSat &

CALIPSO)

– Part 4: Conduct Q & A period.

PURPOSE OF THE WORKSHOPS

Page 9: Workshop: Integrated Systems for Agriculture 30 July 2006 Organizing Committee Verne Kaupp & Tim Haithcoat University of Missouri and Charles Hutchinson

• User Community – Develop a broad applied sciences community-of-practice capable of deriving practical benefit from all NASA science results,

• New Missions – Engage the community-of-practice in a dialogue designed to elicit ideas for the Applied Sciences Program to consider in future NASA proposal opportunities,

• Proposals – Stimulate the community-of-practice to develop proposals offering new and creative ideas in response to future NASA proposal opportunities for novel approaches in deriving benefit from the missions, models, and geophysical parameters becoming available from these new systems.

GOALS OF THE WORKSHOPS

Page 10: Workshop: Integrated Systems for Agriculture 30 July 2006 Organizing Committee Verne Kaupp & Tim Haithcoat University of Missouri and Charles Hutchinson

PART 1

Understanding the NASA Applied Sciences Program

Page 11: Workshop: Integrated Systems for Agriculture 30 July 2006 Organizing Committee Verne Kaupp & Tim Haithcoat University of Missouri and Charles Hutchinson

• Research Program – How it drives Applied Sciences Program– Research Program – Drivers, research strategy & science themes – Overview of Missions – To be discussed in Part III

• Current Assets – Both “applied” and “un-applied” measurements & models• Future Assets – Measure new components (e.g., CALIPSO & CloudSat)

– Overview of Measurements (Geophysical parameters)– Overview of Models

INTRODUCTION & CONCEPTS: Understanding the NASA Applied Sciences Program

• Applied Sciences Program – How does this program work?– Architectural Framework – The big picture – A lofty view

– Program Components – Where you fit in! – Down One Level of Detail• Solutions Networks• Integrated Systems Solutions• Rapid Prototyping Capability & Knowledge Base

– Applied Sciences Program – ISS Proposal Line of Sight

Page 12: Workshop: Integrated Systems for Agriculture 30 July 2006 Organizing Committee Verne Kaupp & Tim Haithcoat University of Missouri and Charles Hutchinson

Examine the Earth Science Program to Understand the NASA Applied Sciences

Program

The “VALUE CHAIN” concept is an effective way to view the Applied Sciences Program. This is not official NASA policy, but consider that a “VALUE CHAIN” starts with the Earth Science Research Program and ends with the Applied Sciences Program:EARTH SCIENCE RESEARCH PROGRAM > APPLIED SCIENCES PROGRAM

To understand the Applied Sciences Program, we have to examine the Earth Science Research Program

The Earth Science Research Program will be presented as a “VALUE CHAIN” from NASA missions and measurements to models.

The Applied Sciences Program extends those “VALUE CHAIN” benefits to society by promoting use in DSSs of priority National Applications.

Page 13: Workshop: Integrated Systems for Agriculture 30 July 2006 Organizing Committee Verne Kaupp & Tim Haithcoat University of Missouri and Charles Hutchinson

Earth Science Program Drivers

The NASA Earth Science Research Program is derivative from national needs and concerns and coincident with global concerns for the continued improvement of life for mankind on this planet.

Page 14: Workshop: Integrated Systems for Agriculture 30 July 2006 Organizing Committee Verne Kaupp & Tim Haithcoat University of Missouri and Charles Hutchinson

NASAs RESEARCH PROGRAM

NASA’s Earth Science Research Program is developing a scientific understanding of the Earth system and its response to natural and human-induced changes to enable improved prediction capability for climate, weather, and natural hazards.

The fundamental research question is: How is the Earth changing and what are the consequences for life on Earth?

Variability: How is the global system changing?Forcing: What are the primary forcing’s of the Earth system?Response: How does the Earth system respond to natural and human-induced changes?Consequence: What are the consequences of change in the Earth system for human civilization?Prediction: How well can we predict future changes in the Earth system?

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Page 15: Workshop: Integrated Systems for Agriculture 30 July 2006 Organizing Committee Verne Kaupp & Tim Haithcoat University of Missouri and Charles Hutchinson

The Earth Science Research Program part of the “VALUE” Chain

• A simplified construct to view the NASA Research Program shows:– QUESTIONS are defined to answer a part of the scientific puzzle via

research and analysis,– MISSIONS are defined to provide essential measurements for research and

analysis,– MEASUREMENTS are collected for research and analysis– MODELS are developed from research and analysis.

• An evolutionary “VALUE CHAIN” of the Earth Science Research Program at NASA, then, would show:

QUESTIONS > MISSIONS > MEASUREMENTS > MODELS

• We therefore examine NASA research missions, measurements and models, next.

Page 16: Workshop: Integrated Systems for Agriculture 30 July 2006 Organizing Committee Verne Kaupp & Tim Haithcoat University of Missouri and Charles Hutchinson

MISSIONS, MEASUREMENTS AND MODELS

MISSIONS MEASUREMENTS MODELS

This part will be given by Steve Volz in Part III.

Present Set of Missions

Future Set of Missions

QUESTIONS > MISSIONS > MEASUREMENTS > MODELS

Page 17: Workshop: Integrated Systems for Agriculture 30 July 2006 Organizing Committee Verne Kaupp & Tim Haithcoat University of Missouri and Charles Hutchinson

`

MISSIONS

Topographic Experiment/Poseidon - (TOPEX/Poseidon)

• TOPEX/Poseidon: joint mission France (CNES) & the U.S. (NASA)To monitor global ocean circulation, to improve global climate predictions, and to monitor events such as El Niño Southern Oscillation conditions and ocean eddies. 

• VITAL FACTS:Orbit Type: Non Sun-SynchronousAltitude: 1336 kmInclination: 66°Launch Date: 08/10/1992Design Life: 5yrs; Actual Life 13 yrs. End of Mission: Jan 18, 2006.Measurements: Ocean topography

• SENSORS:GPS Receiver -Global Positioning System ReceiverLRA - Laser Retroreflector ArrayTMR - TOPEX Microwave RadiometerSSALT - Solid State Radar ALTimeterDORIS - Doppler Orbitography and Radiopositioning Integrated by SatelliteNRA - NASA Radar Altimeter

Page 18: Workshop: Integrated Systems for Agriculture 30 July 2006 Organizing Committee Verne Kaupp & Tim Haithcoat University of Missouri and Charles Hutchinson

`

MISSIONS (Cont.)

Topographic Experiment/Poseidon - (TOPEX/Poseidon)

• PRODUCTS: TOPEX/Poseidon:

Along Track Gridded Sea Surface Height AnomalyGDR Correction Product (GCP)Geophysical Data Record (GDR)Merged Geophysical Data Record generation B (MGDR-B)Near Real Time Sea Surface Height AnomalySea Surface Height Anomaly

TOPEX:Columnar Water Vapor ContentGeostrophic Velocity VectorsSea Surface HeightSignificant Wave HeightTotal Electron ContentWind Speed

• LINKS: http://topex-www.jpl.nasa.gov/

Page 19: Workshop: Integrated Systems for Agriculture 30 July 2006 Organizing Committee Verne Kaupp & Tim Haithcoat University of Missouri and Charles Hutchinson

MEASUREMENTSGEOPHYSICAL PARAMETERS

TOPEX: Sea Surface Height

The TOPEX sea surface height (SSH) productComputed from altimeter range and satellite altitude above the reference ellipsoid. The "reference ellipsoid" is the definition of the non-spherical shape of the Earth as an ellipsoid of revolution. Sea surface height is often shown as a sea-surface anomaly or deviation, this is the difference between the SSH at the time of measurement and the average SSH for that region and time of year.

Accuracy: ±4 - 5 centimetersIntrinsic Spatial Resolution: 1°Applications: Visualization of ocean currents, seasons, research,

input to numerical ocean models, educationParameters: + Ocean Surface TopographyWeb Links: + http://topex-www.jpl.nasa.gov/index.htmlPrincipal Investigator(s): Braulio V. SanchezDistribution: + Physical Oceanography Distributed Active Archive Center (PODAAC)

Spatio-Temporal Grid Resolution:• 0.5° x 0.5° - Daily• 1° x 1° - Daily

Page 20: Workshop: Integrated Systems for Agriculture 30 July 2006 Organizing Committee Verne Kaupp & Tim Haithcoat University of Missouri and Charles Hutchinson

MODELS

Ocean Model - (GMAO Ocean)• Poseidon Quasi-isopycnal Ocean Model

provides 3-D ocean salinity field, temperature field, 3-D ocean velocity components and sea surface height predictions for use in global ocean state seasonal forecasts, ocean data assimilation, and ocean process studies for short-term climate variability.

• INPUTS:– ocean bottom topography– Surface momentum, heat flux and fresh water forcing products– TOPEX/Poseidon and JASON data.TOPEX/Poseidon and JASON data.

• OUTPUTS:– 3-D ocean temperature field– 3-D ocean salinity field– 3-D ocean velocity components– Sea surface height

Page 21: Workshop: Integrated Systems for Agriculture 30 July 2006 Organizing Committee Verne Kaupp & Tim Haithcoat University of Missouri and Charles Hutchinson

MODELS (Cont.)

Ocean Model - (GMAO Ocean)• Resolution:

– Temporal: monthly means– Vertical: 27 layers for V4, 34 layers for V5– Horizontal: 1/3 deg. latitude X 5/8 deg. longitude

• Range– Temporal: 1981 to present– Vertical: upper 1500 m for V4; full ocean depth for V5– Horizontal: South Pole to 72 deg.

• Validation: Borovikov, A, M.M. Rienecker and P.S. Schopf, J. Climate, V14, 2624-2641, 2001

• POC: Michele Rienecker, NASA

[email protected] Phone #: 301-614-6142

• Website: http://nsipp.gsfc.nasa.gov/research/ocean/ocean_descr.html

• Model Partner: George Mason University

Page 22: Workshop: Integrated Systems for Agriculture 30 July 2006 Organizing Committee Verne Kaupp & Tim Haithcoat University of Missouri and Charles Hutchinson

NASA-RELATED APPLIED RESEARCH LEGACY

An Example of What you See Today

Multispectral

A major proportion of the NASA-related applied research to date has utilized land remote sensing systems such as Landsat, MODIS, etc.

Basically, applied NASA-related research as we know it today is:

• Derived from Earth system science being conducted in response to those questions,

• Develops geophysical parameters gathered from land-imaging and multispectral remote sensing tools and technologies.

A significant proportion of existing mission measurements and models have not been employed in NASA-related applied research; they remain “Un-Applied” to date.

Page 23: Workshop: Integrated Systems for Agriculture 30 July 2006 Organizing Committee Verne Kaupp & Tim Haithcoat University of Missouri and Charles Hutchinson

NASA-RELATED EMERGING APPLIED RESEARCHIn keeping with the NASA Earth Science Program objectives to support research designed to answer the 23 science questions:

• Some current and future missions measure components of the Earth system not observable from the Landsat- or MODIS-type of sensor.

• To date, the majority of the current science results falling in this category remain “Un-Applied.”

To promote deriving societal benefit from these current and future observations and models, future solicitations will emphasize that class of sensors and their scientific results.

Traditional land imaging, multispectral analysis with standard remote sensing tools and technologies will continue to be important.New proposals, however will be expected to set forth a plan to use both these and the future missions and current “Un-Applied” sensor results in creative ways.

Since NASA science missions have finite lifetimes, the Applied Sciences Program will seek to time its solicitations for proposals to permit:

• Proposing prior to launch for projects which apply future missions science results,• Conducting the project to permit deriving societal benefit throughout the mission

lifetime.

Page 24: Workshop: Integrated Systems for Agriculture 30 July 2006 Organizing Committee Verne Kaupp & Tim Haithcoat University of Missouri and Charles Hutchinson

• Works toward national and global science requirements• Science QUESTIONS – Weather, climate & natural hazards• Future MISSIONS – Measure Earth system components currently

unobservable• Current MISSIONS - Continue to be important

– Program emphasis on “Un-Applied” missions, measurements and models

– Landsat- & MODIS-style of missions, measurements and models as appropriate

• MEASUREMENTS• MODELS• “VALUE CHAIN” line of sight:

QUESTIONS > MISSIONS > MEASUREMENTS > MODELS

Take Away for Earth Science Research Program

Next, we see how the Applied Sciences Program extends the value chain.

Page 25: Workshop: Integrated Systems for Agriculture 30 July 2006 Organizing Committee Verne Kaupp & Tim Haithcoat University of Missouri and Charles Hutchinson

APPLIED SCIENCES PROGRAM

Why does it exist?What is it designed to do?

How does it do it?Who may participate?

When may they participate?Where can projects be conducted?

Page 26: Workshop: Integrated Systems for Agriculture 30 July 2006 Organizing Committee Verne Kaupp & Tim Haithcoat University of Missouri and Charles Hutchinson

With limited resources, NASA’s Applied Sciences Program is about forging and adding links for DECISIONS to the science program “VALUE CHAIN” by more rapidly applying research and analysis results for improved decision support in 12 applications of national priority.

A reasonable, fundamental applied sciences question is: How can NASA science results be expeditiously used to improve national management and policy decisions for societal benefit?

The Applied Sciences Program is working with 12 applications of national priority to address the one question.

Significance –• Applicable to all levels of national governmentLimit the set of topics to increase the pace–• The potential needs are uncountable

• Focus on first tier of national applications• Select 12 priority applications from that set

• Work with only 12 themes and provide decision support needs for themBenefits to all of society –• The Applied Sciences Program works only with the first tier of 12 national applications,• Secondary national tier served by those applications

Why does The Applied Sciences Program exist?

Page 27: Workshop: Integrated Systems for Agriculture 30 July 2006 Organizing Committee Verne Kaupp & Tim Haithcoat University of Missouri and Charles Hutchinson

• The Applied Sciences Program is designed to:– Promote the acceptance, utilization, and exploitation of NASA-inspired science

results (missions, measurements and models) by improving existing decision support systems that all levels of government use for policy and management decision-making, and

– Extend the benefits from the Earth Science Program to society.EARTH SCIENCE RESEARCH PROGRAM > APPLIED SCIENCES PROGRAM

and now

QUESTIONS > MISSIONS > MEASUREMENTS > MODELS > DECISIONS

What is it designed to do?

• NASA routinely promotes transition of DATA to INFORMATION.

• The Applied Sciences Program must go beyond this. It is designed to make it possible to convert:– DATA into INFORMATION,– INFORMATION into relevant KNOWLEDGEKNOWLEDGE, and– Relevant Relevant KNOWLEDGEKNOWLEDGE into informed DECISIONS!

orDATA > INFORMATION > KNOWLEDGEKNOWLEDGE > > DECISIONS

Page 28: Workshop: Integrated Systems for Agriculture 30 July 2006 Organizing Committee Verne Kaupp & Tim Haithcoat University of Missouri and Charles Hutchinson

ARCHITECTURAL FRAMEWORK –The big picture

The big picture – I have to start somewhere and we are here to talk about the Applied Sciences Program and how it functions, so … let’s look at its scope from a lofty vantage point.

The Q&A material (Part IV) has a few slides outlining the basis for developing successful proposals to initiate a discussion about the next Applied Sciences Program call for proposals.

How does it do it?

Page 29: Workshop: Integrated Systems for Agriculture 30 July 2006 Organizing Committee Verne Kaupp & Tim Haithcoat University of Missouri and Charles Hutchinson

Applied Sciences Program and Six Essential

Architectural Components

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SolutionsNetworks

Rapid

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Applied Sciences Program

Page 30: Workshop: Integrated Systems for Agriculture 30 July 2006 Organizing Committee Verne Kaupp & Tim Haithcoat University of Missouri and Charles Hutchinson

NASA APPLIED SCIENCES PROGRAM

Inputs

MissionsEart

h S

cience

Solu

tions

Know

ledge B

ase

Solutions Networks(Broad Community of Research Practice)

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Other

AppliedSciences

(ISS Projects)

SI

SI

RapidPrototypingCapability

OperationsSolutions

KnowledgeBase

SI

MAPS

Models

OSSEs

Data

A Framework: Down one level of architectural detail.

Data to Information

SI

Page 31: Workshop: Integrated Systems for Agriculture 30 July 2006 Organizing Committee Verne Kaupp & Tim Haithcoat University of Missouri and Charles Hutchinson

NASA APPLIED SCIENCES PROGRAM

InputsSIMissions

Solutions Networks(Broad Community of Research Practice)

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(ISS Projects)

SI

SI

RapidPrototypingCapability

OperationsSolutions

KnowledgeBase

SI

MAPS

Models

OSSEs

Data

SOLUTIONS NETWORKS(Forging links for DECISIONS)

Eart

h S

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Solu

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Know

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Inventory of available measurements and models

Page 32: Workshop: Integrated Systems for Agriculture 30 July 2006 Organizing Committee Verne Kaupp & Tim Haithcoat University of Missouri and Charles Hutchinson

This is where the Applied Sciences Program extends benefit to the Earth Science Program “VALUE CHAIN” by adding links for DECISIONS :The primary function of the Applied Sciences Program is to promote the acceptance, utilization, and exploitation of NASA-inspired science results (missions, measurements and models) by improving existing decision support systems at all levels of government use for policy and management decision-making, and extend the benefits from the Earth Science Program to society. This was previously described as:

EARTH SCIENCE RESEARCH PROGRAM > APPLIED SCIENCES PROGRAM

and now

QUESTIONS > MISSIONS > MEASUREMENTS > MODELS > DECISIONS

In the following, we illustrate the process employed at the Applied Sciences Program to achieve the desired results. From a high-level point of view, the project architectural framework to do this is known as:

Integrated Systems Solutions(linking EARTH SCIENCE RESEARCH with DECISIONS for societal benefit).

INTEGRATED SYSTEMS SOLUTIONS(Program Architecture Framework)

Page 33: Workshop: Integrated Systems for Agriculture 30 July 2006 Organizing Committee Verne Kaupp & Tim Haithcoat University of Missouri and Charles Hutchinson

Knowledge to Decisions

Data to Information

MEASUREMENTS

MODELS

MISSIONS

DECISIONS

Line of sight

Page 34: Workshop: Integrated Systems for Agriculture 30 July 2006 Organizing Committee Verne Kaupp & Tim Haithcoat University of Missouri and Charles Hutchinson

Data to Information

Policy

Management

DecisionsDeci

sions

ImpactArena

Outcomes

Knowledge to Decisions

Outputs

DecisionSupportSystems

Partner

Partnership Area

NASA APPLIED SCIENCES PROGRAM

InputsSIMissions

Eart

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cience

Solu

tions

Know

ledge B

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Solutions Networks(Broad Community of Research Practice)

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SI

SI

RapidPrototypingCapability

OperationsSolutions

KnowledgeBase

SI

MAPS

Models

OSSEs

Data

How and where do you interact?

Line of sight

Page 35: Workshop: Integrated Systems for Agriculture 30 July 2006 Organizing Committee Verne Kaupp & Tim Haithcoat University of Missouri and Charles Hutchinson

NASA’s Integrated Systems Solutions for Agricultural Efficiency:

NASA – FAS/PECAD – WAOB (Line of sight)

Knowledge System

DSS DMS DSE

Data

Decision Support Tools

PECAD/CADRE (Crop Assessment Data Retrieval and Evaluation)•Generated time-series graphs for rainfall, temperature, and soil moisture

•Multiyear time series/crop comparisons

•Vegetation anomaly detection

•Automated Web products

Value and Benefits

•Early warning of problems in major agricultural commodities

•Better seasonal yield estimates

•Early warning of food shortages

•Greater economic security for agriculture sector

EarthObservatories

•Land: Acqua, Terra, Landsat 7, SRTM, TOPEX, Jason – 1, NPP*, NPOESS*, Hydros*•Atmosphere: TRMM, OCO*, GPM•Ocean: SeaWIFS, QuikSCAT, AQUA, Aquarius*

*Future mission

Earth Science Models

•Agricultural Meteorological Model AGRMET•Two-Layer soil moisture models•Crop models: CERES, AGRISTARS, Mass, URCROP, Sinclair

Observations

•Biomass•Land cover/use•Land surface Topograpy Ocean surface currents Global precipitation Soil moisture Reservoir level Evapo – transpiration Radiation

Predictions/ Forecasts

•12-month Global seasonal surface temperature/soil moisture / precipitation forecast•Crop maturity•Crop yield•Water availability

Partner’s General Areaof Interest

NASA’s General Areaof Interest

Impact ArenaPartnershipArea

Inputs Outcomes ImpactsOutputs

Knowledge to Decisions

Data to Information

Line of sight

Page 36: Workshop: Integrated Systems for Agriculture 30 July 2006 Organizing Committee Verne Kaupp & Tim Haithcoat University of Missouri and Charles Hutchinson

Proposal Requirements:Systematic Approach

Formulation of architecture for enhancing a Decision Support System through an integrated system solution

Evaluation of potential capacity for NASA research results to contribute to partnering agency decision support tools (What is the value?)

Verification that components can be physically connected into system configuration

Validation of science and technology performance of the system through rigorous analysis of flow through of science data products in the integrated system

Benchmarking of performance of the integrated system solution outputs in terms of value to decision makers.

Page 37: Workshop: Integrated Systems for Agriculture 30 July 2006 Organizing Committee Verne Kaupp & Tim Haithcoat University of Missouri and Charles Hutchinson

Decision Support SystemState 1 (“As is”)

User

Request for Decision Support Information

Decision

DecisionSupport

Decision Support SystemState 2 (“Target”)

User

Request for Enhanced Decision Support Information

EnhancedDecision

EnhancedDecisionSupport

Problem Problem

Enhancement

1. Feasibility Assessment (Evaluation)

State n 1

Start

DSS S

tate

n

1. Feasibility Assessment (Evaluation)

2. Requirements Study

2

2’

Sta

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=0

1. Feasibility Assessment (Evaluation)

2. Requirements Study3. System Design

3

3’4. Subsystem Design & Construction/Interfaces

4

Page 38: Workshop: Integrated Systems for Agriculture 30 July 2006 Organizing Committee Verne Kaupp & Tim Haithcoat University of Missouri and Charles Hutchinson

Decision Support SystemState 1 (“As is”)

User

Request for Decision Support Information

Decision

DecisionSupport

Decision Support SystemState 2 (“Target”)

User

Request for Enhanced Decision Support Information

EnhancedDecision

EnhancedDecisionSupport

Problem Problem

Enhancement

1. Feasibility Assessment (Evaluation)

State n 1

Start

DSS S

tate

n

1. Feasibility Assessment (Evaluation)

2. Requirements Study

2

2’

Sta

te n

=0

1. Feasibility Assessment (Evaluation)

2. Requirements Study3. System Design

3

3’4. Subsystem Design & Construction/Interfaces

4

4. Subsystem Design & Construction/Interfaces5. Integration

5

4. Subsystem Design & Construction/Interfaces5. Integration6. Full System Test – V & V

6

4. Subsystem Design & Construction/Interfaces5. Integration6. Full System Test – V & V7. Transition to Operations

7 State n+1

DSS State n+1

8. Analysis/Benchmarking

8

BenchmarkReport

8. Analysis/Benchmarking9. Evolution Decision

9

8. Analysis/Benchmarking9. Evolution Decision10. Decommission/Stop

Stop

10

Page 39: Workshop: Integrated Systems for Agriculture 30 July 2006 Organizing Committee Verne Kaupp & Tim Haithcoat University of Missouri and Charles Hutchinson

RAPID PROTOTYPING CAPABILITYand KNOWLEDGE BASE

(Forging links for DECISIONS)

NASA APPLIED SCIENCES PROGRAM

Inputs

Missions

Solutions Networks(Broad Community of Research Practice)

NA

SA

Oth

er

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ence

Rese

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Rose

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Oth

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s(S

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Other

AppliedSciences

(ISS Projects)

RapidPrototypingCapability

OperationsSolutions

KnowledgeBase

MAPS

Models

OSSEs

Data

Eart

h S

cience

Solu

tions

Know

ledge B

ase

Virtual process for pre-formulation of Integrated Systems Solutions projects and conceptual warehouse of available

measurements and models

SI

SI

SI

SI

Page 40: Workshop: Integrated Systems for Agriculture 30 July 2006 Organizing Committee Verne Kaupp & Tim Haithcoat University of Missouri and Charles Hutchinson

APPLIED SCIENCES PROGRAM

Who may participate?When may they participate?

Where and what kind of projects can be conducted?

Page 41: Workshop: Integrated Systems for Agriculture 30 July 2006 Organizing Committee Verne Kaupp & Tim Haithcoat University of Missouri and Charles Hutchinson

Applications of National Priority

Ecological Forecasting

AgriculturalEfficiency

Air Quality Aviation

Energy Management

CarbonManagement

Homeland Security

Disaster Management

Coastal Management

InvasiveSpecies

WaterManagement

PublicHealth

Who may participate?

When may they participate?

Where and what kind of projects can be conducted?

Page 42: Workshop: Integrated Systems for Agriculture 30 July 2006 Organizing Committee Verne Kaupp & Tim Haithcoat University of Missouri and Charles Hutchinson

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CrosscuttingSolutions

National Applications

Research And Analysis

Program

Applied Sciences Program

SocietalBenefits

•Evaluation •Benchmarking

supply demand

Operations

Integrated System

Solutions (ISS)

Uncertainty Analysis

Scientific Rigor

Government Agencies

&National

Organizations

NASA EarthScience

Research SolutionsNetwork (SN)

Rapid PrototypingCapability

(RPC)

•V & V

A FINAL LOOK AT THEAPPLIED SCIENCES PROGRAM

EARTH SCIENCE RESEARCH PROGRAM > APPLIED SCIENCES PROGRAM

Knowledge to Decisions

Data to Information

Page 43: Workshop: Integrated Systems for Agriculture 30 July 2006 Organizing Committee Verne Kaupp & Tim Haithcoat University of Missouri and Charles Hutchinson

From Part I you should have noted:

• NASA’s Earth science research program formally derives from national needs and concerns coincident with global concerns for the continued improvement of life for mankind on this planet.

• The Applied Sciences Program was established to expedite benefits from Earth science, technology and data results beyond the traditional science community and to address practical, near-term problems.

• Rapid Prototyping Capability - Virtual process for pre-formulation of Integrated Systems Solutions projects and conceptual warehouse of available measurements and models

• The why, what, how, who, when, and where of the Integrated Systems Solution architecture.

• Solutions Networks – Inventory of available measurements & models

• Expectations for future proposals to the Applied Sciences Program.

Page 44: Workshop: Integrated Systems for Agriculture 30 July 2006 Organizing Committee Verne Kaupp & Tim Haithcoat University of Missouri and Charles Hutchinson

• Evolutionary “VALUE CHAIN” from Earth Science Research to the Applied Sciences Program at NASA:

QUESTIONS > MISSIONS > MEASUREMENTS > MODELS (and now) > DECISIONS

• Rationale for Applied Sciences Program structure– Limited set of topics – 12 National Applications

– Defined partners and their roles – Federal agencies with decision support needs

– Benefits to all of society – Federal partners with extension to national governmental agencies

• Range of NASA products that have potential value for DECISIONS– Landsat and MODIS land products are proven

– All models, many current “Un-Applied” and all future missions have untapped potential value (to be discussed in Part III)

Continued

Page 45: Workshop: Integrated Systems for Agriculture 30 July 2006 Organizing Committee Verne Kaupp & Tim Haithcoat University of Missouri and Charles Hutchinson

Requirements for a successful ISS proposal

• WHO – Defined DSS owner agency partner and all participants with roles and responsibilities consistent with the 12 National Applications.

• WHAT – Defined DSS with pre-formulation characterization of State 1.

• WHY – Established proof-of-concept and potential value of State 2 via the “VALUE CHAIN” (using the Rapid Prototyping Capability, as appropriate).

• HOW – Propose a plan to enhance the DSS to function at State 2 with NASA missions, models and geophysical parameters via the Solutions Network as appropriate:

– Propose an Integrated System Solution architectural framework using, especially, “Un-Applied” and future mission results,

– Plan to conduct Verification & Validation on the missions, models and geophysical parameters to verify suitability for the planned operational need, and

– Plan to measure system performance – Benchmark the DSS performance change.

• WHERE – The DSS owner agency can be at any level of government but the DSS enhancement must have national or large regional applicability.

• WHEN – Within 1 – 3 years of award and with sufficient mission life remaining after transition to operations.

Page 46: Workshop: Integrated Systems for Agriculture 30 July 2006 Organizing Committee Verne Kaupp & Tim Haithcoat University of Missouri and Charles Hutchinson

PART II

Examining a successful example of the program

Page 47: Workshop: Integrated Systems for Agriculture 30 July 2006 Organizing Committee Verne Kaupp & Tim Haithcoat University of Missouri and Charles Hutchinson

AM

Example of the process – Integrated Systems for Agriculture

PECAD/FAS/USDA(Morning workshop – Ed Sheffner & Brad Doorn)

Page 48: Workshop: Integrated Systems for Agriculture 30 July 2006 Organizing Committee Verne Kaupp & Tim Haithcoat University of Missouri and Charles Hutchinson

PM

Example of the process –

Integrated Solutions for Sustainable Resources

SERVIR(Danny Hardin)

Page 49: Workshop: Integrated Systems for Agriculture 30 July 2006 Organizing Committee Verne Kaupp & Tim Haithcoat University of Missouri and Charles Hutchinson

PART III

NASA Missions:Introducing the new

dimensions of science – Steve Volz

Page 50: Workshop: Integrated Systems for Agriculture 30 July 2006 Organizing Committee Verne Kaupp & Tim Haithcoat University of Missouri and Charles Hutchinson

PART IV

Questions&

Answers

Page 51: Workshop: Integrated Systems for Agriculture 30 July 2006 Organizing Committee Verne Kaupp & Tim Haithcoat University of Missouri and Charles Hutchinson

THE END

Thank you for participating in this workshop.

We hope you find it to be useful.