Geospatia

l S

cie

nce P

rog

ram

Ne

ed

Baselin

e e

colo

gic

al in

form

ation is n

eeded to

assis

t in

managem

ent decis

ions. T

here

is a

n

abundance o

f data

colle

ction a

nd m

onitoring to

be c

onducte

d.

Ap

pro

ac

hIn

tern

s, th

rough the O

ffic

e o

f E

ducational

Pro

gra

ms, sp

en

d 1

0 w

ee

ks u

sin

g r

ad

io

tele

metr

y, G

PS

, G

IS, and c

onducting fie

ld

researc

h.

Be

ne

fits

Stu

dents

obta

in h

ands o

n e

xperience learn

ing

field

techniq

ues a

nd u

sin

g G

IS a

nd G

PS

syste

ms. B

NL g

ain

s a

wealth o

f in

form

ation that

the c

urr

ent sta

ff w

ould

not be a

ble

to o

bta

in

without assis

tance.

PO

C:

Jennifer

Hig

bie

, hig

bie

@bnl.gov

Bro

okhaven N

ational Labora

tory

Tra

inin

g t

he N

ext

Gen

era

tio

n

Lo

ca

tin

g G

PS

co

ord

ina

tes

to t

ake s

ed

imen

t sam

ple

s

A s

tud

en

t u

se

d G

PS

an

d G

IS t

o m

ap

veg

eta

tio

n f

rom

a r

em

ed

iati

on

pro

ject

Geospatia

l S

cie

nce P

rog

ramCh

eat

Gra

ss P

hen

olo

gy

Mo

del

Ne

ed

A m

odel th

at

rela

tes c

limate

and t

opogra

phic

al

data

to c

heat gra

ss g

reen u

p a

nd s

enescence in

ord

er

to d

ete

rmin

e o

ptim

al tim

e w

indow

s t

o c

olle

ct

sate

llite

im

agery

for

dete

ction a

nd m

appin

g.

Ap

pro

ac

hC

om

pare

MO

DIS

ND

VI, w

ith

fie

ld,

clim

ate

, and

topogra

phic

al data

to d

evelo

p a

model fo

r w

hen

cheat gra

ss g

reens u

p.

Be

ne

fits

Model w

ill a

llow

end-u

sers

to s

ave m

oney o

n im

agery

and a

naly

sis

costs

by r

educin

g d

ata

redundancy.

Model m

ay a

lso incre

ase a

ccura

cy o

f oth

er

dete

ction

and m

appin

g m

eth

ods b

y r

educin

g the a

mount of

unneeded d

ata

that

may a

dd e

rro

r to

or

“co

nfu

se

”curr

ently u

sed d

ete

ction a

nd m

appin

g techniq

ues.

PO

C:

Randy L

ee, R

andy.L

ee@

inl.gov

Idaho N

ational Labora

tory

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ng

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cie

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ram

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fere

nce

imagery

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sin

g u

nm

anned a

uto

nom

ous v

ehic

les

without th

e u

se o

f gro

und c

ontr

ol poin

ts.

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pro

ac

h

Utiliz

e d

ata

co

llecte

d b

y th

e in

ert

ial n

avig

atio

n

syste

m o

n th

e a

ircra

ft a

lon

g w

ith

GP

S p

ositio

n

to c

alc

ula

te g

round p

ositio

n o

f im

agery

.

Be

ne

fits

Imagery

can b

e v

iew

ed in r

eal-tim

e b

y a

n

analy

st or

mis

sio

n c

om

mander

from

whic

h

decis

ions c

an b

e m

ade w

ithout th

e n

eed for

manned a

ircra

ft o

r putt

ing g

round p

ers

onnel in

a

possib

le d

angero

us s

ituation. Im

agery

can b

e

quic

kly

analy

zed w

ith o

ther

geospatial

info

rmation in a

GIS

.

Da

ta A

cq

uis

itio

n a

nd

Dir

ec

t R

efe

ren

cin

g

PO

C:

Randy L

ee, R

andy.L

ee@

inl.gov

Idaho N

ational Labora

tory

Geospatia

l S

cie

nce P

rog

ram

Map

pin

g M

icro

bia

l D

ivers

ity

Ne

ed

Esta

blis

h a

sin

gle

poin

t fr

om

whic

h s

cie

ntists

a

nd

re

se

arc

he

rs c

an

lo

ca

te p

hysic

al

chara

cte

ristics a

nd a

ssocia

ted m

icro

org

anis

ms

of Y

ello

wsto

ne N

ational P

ark

hot springs.

Ap

pro

ac

h

Colle

ct exis

ting p

apers

, stu

die

s, and m

aps o

f Y

NP

hot springs r

ela

ted to e

xtr

em

e

mic

roorg

anis

ms a

nd p

lace in a

rela

tional

data

base. T

ie d

ata

to s

patial fe

atu

res a

nd

develo

p m

ap s

erv

er

to a

ccess info

rmation.

Be

ne

fits

Pro

vid

es a

n e

ffic

ient pla

nnin

g tool fo

r re

searc

hes w

ho a

re lookin

g for

specific

m

icro

org

anis

ms a

nd s

erv

es a

s a

data

repository

fo

r fu

ture

stu

die

s.

PO

C:

Randy L

ee, R

andy.L

ee@

inl.gov

Idaho N

ational Labora

tory

Geospatia

l S

cie

nce P

rog

ram

Ch

allen

ges o

f C

ou

ple

d S

pati

al

Dyn

am

ic M

od

elin

g

Ne

ed

Spatial m

odels

of sin

gle

syste

ms lend insig

ht

into

pro

cesses, but not th

eir c

onte

xt. C

hanges in

com

ponents

exte

rnal to

models

can h

ave s

evere

ra

mific

ations to m

odelin

g r

esults.

Ap

pro

ac

h

Couplin

g tw

o d

ynam

ic s

patial m

odels

necessitate

s the u

nders

tandin

g o

f both

the

pro

cesses b

ein

g m

odele

d a

s w

ell

as the

com

puta

tional needs o

f each m

odel.

Be

ne

fits

In the e

xam

ple

pre

sente

d h

ere

, th

e

consequences o

f severe

Wild

fire

Ris

k a

nd

Urb

aniz

ation c

an b

e taken into

account in

m

akin

g m

anagem

ent decis

ions a

bout each

dom

ain

.

PO

C:

Noah G

old

ste

in (

Gold

ste

in8@

llnl.gov),

Jeff S

tew

art

(S

tew

art

28@

llnl.gov)

Law

rence L

iverm

ore

National Labora

tory

Th

is w

ork

wa

s p

erf

orm

ed

un

de

r th

e a

usp

ice

s o

f th

e U

. S

. D

ep

art

me

nt of E

ne

rgy

by t

he

Un

ive

rsity o

f C

alif

orn

ia,

La

wre

nce

Liv

erm

ore

Na

tio

na

l L

ab

ora

tory

un

de

r

Co

ntr

act

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. W

-74

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g-4

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CR

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S-2

18

05

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del

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ualit

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conom

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nds a

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ther

prim

arily

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nerg

y r

ela

ted u

ses.

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pro

ac

h

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sin

g e

xplo

rato

ry a

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odelin

g techniq

ues o

f sp

atia

l sta

tistics, a

uxili

ary

da

ta c

an

be

in

corp

ora

ted into

energ

y m

odels

, at diffe

rent

sp

atia

l sca

les.

Be

ne

fits

Ge

ne

raliz

ed

mo

de

ls o

f kn

ow

n d

ata

ca

n b

e

made, and e

stim

ate

s o

f err

or

in m

odels

can b

e

assessed, le

adin

g to a

better

unders

tandin

g o

f err

or

in the u

nderlyin

g p

rocesses g

oin

g into

energ

y m

odels

.

PO

C:

Gard

ar

Johanesson

(Johannesson1@

llnl.gov),

Je

ff S

tew

art

(S

tew

art

28@

llnl.gov)

Law

rence L

iverm

ore

National Labora

tory

Th

is w

ork

wa

s p

erf

orm

ed

un

de

r th

e a

usp

ice

s o

f th

e U

. S

. D

ep

art

me

nt of E

ne

rgy

by t

he

Un

ive

rsity o

f C

alif

orn

ia,

La

wre

nce

Liv

erm

ore

Na

tio

na

l L

ab

ora

tory

un

de

r

Co

ntr

act

No

. W

-74

50

-En

g-4

8. U

CR

L-P

RE

S-2

18

05

0

Geospatia

l S

cie

nce P

rog

ram

Geo

sp

ati

al A

pp

licati

on

s o

f th

e S

yste

m a

nd

D

ecis

ion

Scie

nces S

ecti

on

PO

C:

Jeff S

tew

art

(S

tew

art

28@

llnl.gov),

Noah G

old

ste

in (

Gold

ste

in8@

llnl.gov)

Law

rence L

iverm

ore

National Labora

tory

Th

is w

ork

wa

s p

erf

orm

ed

un

de

r th

e a

usp

ice

s o

f th

e U

. S

. D

ep

art

me

nt of E

ne

rgy

by t

he

Un

ive

rsity o

f C

alif

orn

ia,

La

wre

nce

Liv

erm

ore

Na

tio

na

l L

ab

ora

tory

un

de

r

Co

ntr

act

No

. W

-74

50

-En

g-4

8. U

CR

L-P

RE

S-2

18

05

0

The g

oal is

to c

onstr

uct

a m

od

el th

at

rela

tes t

he o

bserv

ed s

patial

data

to t

he u

nkno

wn p

rocess o

f in

tere

st

and c

an b

e u

se

d t

o

pre

dic

t th

e p

rocess a

t an

y s

ite/a

rea o

f in

tere

st, a

long w

ith a

n

uncert

ain

ty m

easure

Th

e u

nk

no

wn

Ta

rge

t P

roc

es

s

La

rge

-sc

ale

tren

d

(un

kn

ow

n)

Ex

tern

al

data

(k

no

wn

)

Sm

all

-sc

ale

pro

ce

ss

(un

kn

ow

n)

Ob

se

rve

d

are

al

da

ta

Ob

se

rve

d

po

int

da

ta

Ne

ed

Ad

va

nce

d G

eo

sp

atia

l sta

tistics a

nd

Sp

atia

l D

ynam

ic M

odelin

g h

ave long b

een left o

ut of

so

lutio

ns to

so

lve

th

e D

OE

’sM

issio

n’s

Go

als

.

Ap

pro

ac

h

The L

LN

L G

eoS

patialA

naly

sis

and M

odelin

g

Team

is a

gro

up o

f m

ultid

iscip

linary

scie

ntists

w

ho u

se the late

st in

advanced techniq

ues to

solv

e G

eoS

patialp

roble

ms.

Be

ne

fits

By incorp

ora

ting G

eoS

patialand D

ynam

ic

Modelin

g techniq

ues, w

e c

an p

roduce b

etter

estim

ate

s o

f energ

y a

nd s

ecurity

pro

ble

ms,

accounting for

the s

patial and tem

pora

l dim

ensio

ns o

f th

e d

ata

, as w

ell

as the v

ariance

and d

om

inant tr

ends in the p

rocess o

r syste

m.

Geospatia

l S

cie

nce P

rog

ram

En

terp

rise G

IS D

esig

n

PO

C:

Paul R

ich,

pm

r@la

nl.gov

Los A

lam

os N

ational Labora

tory

Ne

ed

Pro

vid

e a

ccess to s

hare

d g

eospatial data

and a

naly

sis

capabili

ties.

Ap

pro

ac

h

Cyberinfr

astr

uctu

re=

inte

gra

ted c

om

puting

environm

ent fo

r access to k

ey d

ata

and

GIS

erv

ices.

Co

mp

lete

Ge

osp

atia

l D

ata

Cycle

en

su

res d

ata

are

relia

ble

, docum

ente

d, secure

, and

acce

ssib

le.

Consid

er

div

ers

e s

takehold

er

needs.

Em

plo

y o

ut-

of-

the-b

ox s

olu

tions w

here

availa

ble

and c

usto

m tools

where

necessary

.

Be

ne

fits

Enhanced a

bili

ty o

f pro

jects

to e

mplo

y G

IS

capabili

ties; cost savin

gs thro

ugh s

hare

d G

IS

infr

astr

uctu

re.

Spa

tial

Data

Engin

e

Web

Serv

er

Web

Serv

er

Ma

p

Serv

er

Ma

p

Serv

er

Data

Ware

house

First

Respond

er

First

Respond

er

Public

Public

Analy

st

Analy

st

Model

Ware

house

Decis

ion M

ake

rD

ecis

ion M

ake

rK

no

wle

dg

e B

ase

Pro

cess M

ode

ls

Opera

tions M

odels

Fie

ld

Measure

ment

Sensor

Netw

ork

Rem

ote

Sensin

g

Da

tab

ase

Da

tab

ase

•fo

rmat

•Q

A

•m

eta

data

•arc

hitectu

re

•data

deliv

ery

•access

contr

ol

•m

anagem

ent

•b

ackup

Data

Ste

ward

s

Geospa

tial D

ata

Ware

house

•update

s

•derived d

ata

•ch

an

ge

co

ntr

ol

En

terp

rise

En

terp

rise

GIS

GIS

Da

ta

Inte

gra

tion

Data

Inte

gra

tio

nV

isualiz

atio

n2D

, 3D

maps

Vis

ua

lizatio

n2D

, 3D

maps

Mo

de

ling

Mod

elin

g

De

cis

ion

Su

pp

ort

Decis

ion

Su

pp

ort

Ana

lysis

Analy

sis

So

urc

eS

ou

rce

Ap

plic

atio

ns

Ap

plic

atio

ns

Use

rsD

ata

ba

se

Da

tab

ase

•fo

rmat

•Q

A

•m

eta

data

•arc

hitectu

re

•data

deliv

ery

•access

contr

ol

•m

anagem

ent

•b

ackup

Data

Ste

ward

s

Geospa

tial D

ata

Ware

house

•update

s

•derived d

ata

•ch

an

ge

co

ntr

ol

En

terp

rise

En

terp

rise

GIS

GIS

Da

ta

Inte

gra

tion

Data

Inte

gra

tio

nV

isualiz

atio

n2D

, 3D

maps

Vis

ua

lizatio

n2D

, 3D

maps

Mo

de

ling

Mod

elin

g

De

cis

ion

Su

pp

ort

Decis

ion

Su

pp

ort

Ana

lysis

Analy

sis

So

urc

eS

ou

rce

Ap

plic

atio

ns

Ap

plic

atio

ns

Use

rs

Com

ple

te "

Geospatial D

ata

Cycle

"

Cyberinfr

astr

uctu

re:

Inte

gra

tion o

f G

IS

Geospatia

l S

cie

nce P

rog

ram

GIS

Ed

ucati

on

an

d O

utr

each

PO

Cs:

Byro

n Y

epa,

byepa@

lanl.gov

/ D

oug W

alther,

walther@

lanl.gov

Los A

lam

os N

ational Labora

tory

Ne

ed

GIS

education a

nd technic

al outr

each for

Native A

mericans.

Ap

pro

ac

h

Focus o

n A

ccord

Pueblo

s (

San Ild

efo

nso,

Santa

Cla

ra, C

ochiti, J

em

ez)

adja

cent to

Los A

lam

os N

ational Labora

tory

.

GIS

education for

trib

al hig

h s

chools

.

Technic

al assis

tance to b

uild

tribal G

IS

facili

ties.

Be

ne

fits

Near-

term

enhancem

ent of tr

ibal G

IS

facili

ties a

nd long-t

erm

develo

pm

ent of

Native A

merican technic

al w

ork

forc

e.

Geospatia

l S

cie

nce P

rog

ram

GIS

Lin

ks w

ith

Rem

ote

Sen

sin

g

PO

C:

Mary

Gre

ene,

mgre

ene@

lanl.gov

Los A

lam

os N

ational Labora

tory

Ne

ed

GIS

support

for

Advanced C

hem

istr

y

Identification T

echnolo

gy (

AC

IT),

Airborn

e

Spectr

al P

hoto

metr

ic C

olle

ction T

echnolo

gy

(AS

PE

CT

), a

nd A

ngel F

ire.

Ap

pro

ac

h

Develo

p G

IS lin

ks w

ith r

em

ote

sensin

g (

file

convers

ion, vecto

r overlay o

n im

agery

, etc

.).

Develo

p m

ulti-scale

base m

ap c

ata

log.

Pro

vid

e a

ccess to G

IS tools

for

vis

ualiz

ation,

analy

sis

, and d

ata

managem

ent.

Be

ne

fits

Advanced technolo

gy for

rem

ote

monitoring

(reconnais

sance,tr

ackin

g c

hem

ical plu

mes,

real-tim

e r

em

ote

sensin

g, etc

.).

Geospatia

l S

cie

nce P

rog

ram

Mic

roclim

ate

PO

C:

Paul R

ich,

pm

r@la

nl.gov

Los A

lam

os N

ational Labora

tory

Ne

ed

GIS

-based m

icro

clim

ate

and e

nerg

y b

ala

nce

models

to c

hara

cte

rize s

urf

ace c

limate

variabili

ty.

Ap

pro

ac

h

Form

ula

te s

patiote

mpora

l th

eory

of

mic

roclim

ate

.

Develo

p G

IS-b

ased tools

to m

odel sola

r ra

dia

tion a

nd e

nerg

y b

ala

nce.

Apply

tools

for

pre

cis

ion a

griculture

.

Be

ne

fits

Applic

ations for

land m

anagem

ent, a

griculture

, clim

ato

logy, ecolo

gy, and h

ydro

logy.

GIS

-based

So

lar

Too

ls

Bro

ad

App

lica

tions

LW

H

G

SW

SW

LW

LW

LE

G

H

LW

LE

DR

YM

OIS

TW

ate

r

SW

SW

Energ

y B

ala

nce M

ode

l

Geospatia

l S

cie

nce P

rog

ram

Sp

ati

al D

ecis

ion

Su

pp

ort

Syste

m D

esig

n

PO

C:

Gord

on K

eating,

gkea@

lanl.gov

Los A

lam

os N

ational Labora

tory

Ne

ed

Spatial decis

ion s

upport

syste

m (

SD

SS

) conceptu

al fr

am

ew

ork

applic

able

for

div

ers

e

pro

jects

.

Ap

pro

ac

h

SD

SS

conceptu

al fr

am

ew

ork

inte

gra

tes

data

/models

and p

rovid

es d

ecis

ion tools

to

vis

ualiz

e a

ltern

ative s

cenarios.

Know

ledge b

ase a

ppro

ach lin

ks d

ivers

e p

roje

ct

ele

ments

(decis

ion tools

, M

MV

, pro

cess

models

, hig

h-level m

odels

) via

data

lib

raries.

Be

ne

fits

Better

info

rmed d

ecis

ions.

Sta

keh

old

ers

Events

???

Scenarios

Decis

ion

s

Data

ne

utr

al

Info

rma

tio

nin

terp

reta

tion

Kn

ow

led

ge

conte

xt,

purp

ose

Ste

ward

sh

ipconse

quences

Ge

ore

fere

nc

ed

Da

tacolle

ction,

org

an

ization

, sto

rage

GIS

-Bas

ed

Da

ta/M

od

el

Inte

gra

tio

npro

ce

ss c

ouplin

g

Decis

ion

spo

licy, action

An

aly

sis

scen

ari

o e

valu

ation

risk a

ssessm

ent

Sta

keh

old

ers

Sta

keh

old

ers

Events

???

Scenarios

Decis

ion

s

Events

???

Scenarios

Decis

ion

s

Data

ne

utr

al

Info

rma

tio

nin

terp

reta

tion

Kn

ow

led

ge

conte

xt,

purp

ose

Ste

ward

sh

ipconse

quences

Data

ne

utr

al

Info

rma

tio

nin

terp

reta

tion

Kn

ow

led

ge

conte

xt,

purp

ose

Ste

ward

sh

ipconse

quences

Ge

ore

fere

nc

ed

Da

tacolle

ction,

org

an

ization

, sto

rage

GIS

-Bas

ed

Da

ta/M

od

el

Inte

gra

tio

npro

ce

ss c

ouplin

g

Decis

ion

spo

licy, action

An

aly

sis

scen

ari

o e

valu

ation

risk a

ssessm

ent

Ge

ore

fere

nc

ed

Da

tacolle

ction,

org

an

ization

, sto

rage

GIS

-Bas

ed

Da

ta/M

od

el

Inte

gra

tio

npro

ce

ss c

ouplin

g

Decis

ion

spo

licy, action

An

aly

sis

scen

ari

o e

valu

ation

risk a

ssessm

ent

SD

SS

Conceptu

al F

ram

ew

ork

Know

ledge B

ase A

ppro

ach

De

cis

ion

To

ols

•D

ata

Acce

ss

•D

ata

/mo

del in

tegra

tion

•M

ap

-based a

naly

sis

and

vis

ualiz

ation

Kn

ow

led

ge

Ba

se

Da

ta W

are

ho

use

Mod

el W

are

ho

use

Hig

h-L

eve

l M

od

els

Pro

ces

s M

od

els

•In

teg

rate

d s

yste

m b

ehavio

r

•Q

uic

k a

na

lysis

Me

as

ure

me

nt,

Mo

nit

ori

ng

,

& V

eri

fic

ati

on

(M

MV

)

•R

em

ote

se

nsin

g

•S

ensor

arr

ays /

netw

ork

s

•G

rou

nd t

ruth

•P

hysic

al m

odels

•O

pe

ration

s m

od

els

•S

cena

rio a

naly

sis

•M

MV

lib

raries

•In

pu

t lib

raries

•S

cena

rio lib

raries

•M

od

el com

po

ne

nt

arc

hiv

e

De

cis

ion

To

ols

•D

ata

Acce

ss

•D

ata

/mo

del in

tegra

tion

•M

ap

-based a

naly

sis

and

vis

ualiz

ation

Kn

ow

led

ge

Ba

se

Da

ta W

are

ho

use

Mod

el W

are

ho

use

Hig

h-L

eve

l M

od

els

Pro

ces

s M

od

els

•In

teg

rate

d s

yste

m b

ehavio

r

•Q

uic

k a

na

lysis

Me

as

ure

me

nt,

Mo

nit

ori

ng

,

& V

eri

fic

ati

on

(M

MV

)

•R

em

ote

se

nsin

g

•S

ensor

arr

ays /

netw

ork

s

•G

rou

nd t

ruth

•P

hysic

al m

odels

•O

pe

ration

s m

od

els

•S

cena

rio a

naly

sis

•M

MV

lib

raries

•In

pu

t lib

raries

•S

cena

rio lib

raries

•M

od

el com

po

ne

nt

arc

hiv

e

Geospatia

l S

cie

nce P

rog

ram

Dis

aste

r U

tility

Metr

ics a

nd

Sp

ati

al

Co

rrela

tio

ns

for

Hi-

Res P

op

ula

tio

n

Ne

ed

Hi-re

s p

opula

tion v

s. ancill

ary

variable

s, m

etr

ics

to e

valu

ate

utilit

y o

f popula

tion for

dis

aste

r m

anagem

ent, a

nd d

isaste

r risk m

anagem

ent.

Ap

pro

ac

h

Spatial auto

-and c

ross-c

orr

ela

tions, new

skill

m

easure

s c

om

bin

e “

equitable

thre

at score

s”

from

mete

oro

logic

al pre

dic

tions a

nd “

RO

C

curv

es”

from

sig

nal pro

cessin

g, and e

nhanced

risk a

naly

ses a

nd thre

at conto

urs

.

Be

ne

fit

Pattern

s in c

orr

ela

tion w

ith r

egio

nal variance,

utilit

y for

dis

aste

r m

anagem

ent critically

depends

on m

odelin

g m

eth

ods a

nd the u

se o

f availa

ble

in

form

ation, and r

isk a

naly

sis

benefits

decis

ions

and p

olic

y.

PO

C:

Budhendra

Bhaduri,

bhaduribl@

orn

l.gov

Oak R

idge N

ational Labora

tory

Geospatia

l S

cie

nce P

rog

ram

Ed

ucati

on

al

an

d C

om

mu

nit

y O

utr

each

Ne

ed

To d

evelo

p a

world-c

lass p

ool of qualif

ied s

cie

ntists

and r

esearc

hers

for

the g

eospatial scie

nces.

Ap

pro

ac

hO

ak R

idge N

ational Labora

tory

GIS

T g

roup r

outinely

offers

a w

ide s

ele

ction o

f sum

mer

and o

ne-y

ear

inte

rnship

appoin

tments

. In

additio

n,

GIS

sta

ff a

re

actively

engaged locally

via

active p

art

icip

ation in a

com

munity c

olle

ge G

IT s

teering c

om

mitte

e,

local hig

h

school speakin

g e

ngagem

ents

for

geospatial scie

nces,

and e

ven e

lem

enta

ry s

chool w

orld g

eogra

phy

assis

tance thro

ugh v

isual aid

s.

Be

ne

fit

Education a

nd c

om

munity o

utr

each incre

ases g

enera

l aw

are

ness o

f th

e c

riticalit

y o

f geospatial scie

nces a

nd

facili

tate

s th

e s

uccessfu

l develo

pm

ent

of

a f

utu

re

geospatial w

ork

forc

e f

or

the n

ation.

Ph

D,

Pri

nce

ton

Un

ive

rsity

Da

vid

Po

tere

MS

, U

niv

ers

ity o

f N

ort

h C

aro

lina

La

ure

n P

att

ers

on

MS

, U

niv

ers

ity o

f S

ou

th C

aro

lina

Aa

ron

Mye

rs

Ph

D,

Re

nsse

lae

r P

oly

Te

ch

An

il C

he

riya

da

t

MS

, U

niv

ers

ity o

f C

alif

orn

ia –

Sa

nta

Ba

rba

ra

Ka

ren

McN

ea

ny

Ac

ad

em

ic I

nsti

tuti

on

Su

mm

er

20

05

Pa

rtic

ipa

nt

PO

C:

Budhendra

Bhaduri,

bhaduribl@

orn

l.gov

Oak R

idge N

ational Labora

tory

Geospatia

l S

cie

nce P

rog

ram

HP

C In

Tera

scale

Sp

ati

al D

ata

In

teg

rati

on

an

d V

isu

alizati

on

Ne

ed

Incre

asin

g d

imensio

n (

3D

), r

esolu

tion, and

availa

bili

ty o

f spatial data

requires e

ffic

ient

pro

cessin

g a

nd v

isualiz

ation b

eyond c

urr

ent

deskto

p c

apabili

ties.

Ap

pro

ac

h

Develo

pm

ent of hig

h-p

erf

orm

ance, clu

ste

r com

puting techniq

ues for

data

pro

cessin

g.

Imple

menta

tion o

f G

RA

SS

GIS

in a

clu

ste

r com

puting a

nd 3

5 m

egapix

el vis

ualiz

ation

environm

ent.

Be

ne

fit

Fast and e

ffic

ient pro

cessin

g o

f spatial data

in

clu

din

g h

igh

-re

so

lutio

n im

ag

ery

fo

r in

form

atio

n

extr

action, fu

sio

n, and q

uery

. H

igh-p

erf

orm

ance

vis

ualiz

ation a

llow

s e

nhanced u

nders

tandin

g o

f th

e q

ualit

y c

hara

cte

ristics o

f data

, m

odel and

sim

ula

tion r

esults. P

OC

: B

udhendra

Bhaduri,

bhaduribl@

orn

l.gov

Oak R

idge N

ational Labora

tory

Geospatia

l S

cie

nce P

rog

ram

Imm

ers

ive V

isu

alizati

on

Ne

ed

Pro

vid

e a

ccess to G

IS info

rmation in a

n

imm

ers

ive

fa

sh

ion

to

fa

cili

tate

on

-site

opera

tions.

Ap

pro

ac

h

Explo

re the u

se o

f C

OT

S h

ard

ware

and

open s

ourc

e s

oftw

are

solu

tions to

pro

vid

e the u

ser

with a

weara

ble

, unte

there

d, im

mers

ive e

xperience.

Be

ne

fit

Pro

toty

pe s

yste

ms h

ave b

een d

evelo

ped

and d

em

onstr

ate

d. T

he s

yste

m is

cu

sto

m d

esig

ne

d fo

r a

n a

pp

lica

tio

n a

nd

exte

nsib

le b

y the e

nd-u

ser.

PO

C:

Budhendra

Bhaduri,

bhaduribl@

orn

l.gov

Oak R

idge N

ational Labora

tory

Geospatia

l S

cie

nce P

rog

ram

Inte

gra

tin

g D

isp

ara

te S

pati

al D

ata

Ne

ed

Pro

vid

e a

ccess to d

ispla

y, analy

ze, and inte

ract

with b

oth

locally

sto

red a

nd inte

rnet-

accessib

le

GIS

data

to u

sers

in m

ultip

le locations u

sin

g a

variety

of opera

ting s

yste

ms.

Ap

pro

ac

h

Usin

g o

ff-t

he-s

helf technolo

gy a

nd c

usto

m

develo

pm

ent, a

thin

-clie

nt bro

wser

applic

ation

wa

s c

rea

ted

to

pa

ss X

ML

re

qu

ests

to

a s

erv

er

wh

ere

pro

ce

ssin

g o

f sp

atia

l d

ata

wa

s p

erf

orm

ed

.

Be

ne

fit

A c

lient applic

ation that ru

ns w

ithin

most in

tern

et

bro

wsers

was d

evelo

ped to p

rovid

e a

ccess to

multip

le m

aps fro

m d

iffe

rent data

pro

vid

ers

sim

ultaneously

. T

hese d

ata

can b

e levera

ged

again

st each o

ther

in a

sin

gle

, w

eb a

ccessib

le

inte

rface.

Lo

cal

Data

So

urc

e

Ex

tern

al

Da

ta

So

urc

e

PO

C:

Budhendra

Bhaduri,

bhaduribl@

orn

l.gov

Oak R

idge N

ational Labora

tory

Geospatia

l S

cie

nce P

rog

ram

Lan

dS

can

Glo

bal P

op

ula

tio

n

Ne

ed

Accura

te d

epic

tions o

f glo

bal popula

tion

dis

trib

ution a

re c

ritical fo

r a w

ide v

ariety

of

researc

h n

eeds inclu

din

g r

esourc

e m

anagem

ent,

polic

y a

naly

sis

, and e

merg

ency p

repare

dness a

nd

response. C

ata

str

ophic

events

such a

s n

atu

ral

dis

aste

rs,

terr

orist

incid

ents

, and o

ther

thre

ats

pla

ce v

ast popula

tions a

t risk.

Ap

pro

ac

hLandS

can u

tiliz

es G

IS a

nd R

em

ote

Sensin

g d

ata

and t

echnolo

gie

s t

hro

ugh a

multi-

variable

, dasym

etr

ic m

odelin

g a

ppro

ach.

Be

ne

fit

LandS

can is a

n a

mbie

nt

(24-h

our

avera

ge),

hig

h-

resolu

tion (

~1km

) popula

tion d

istr

ibution that

depic

ts a

more

realis

tic,

non-u

niform

dis

trib

ution o

f popula

tion. T

he d

istr

ibution is u

pdate

d a

nd

modifie

d a

nnually

and the fin

est glo

bal popula

tion

data

ever

is p

roduced.

Slo

pe

Slo

pe

Land

Cover

Land

Cover

Nig

htt

ime

Lig

hts

Nig

htt

ime

Lig

hts

Road

Pro

xim

ity

Road

Pro

xim

ity

Popula

tion

Data

Popula

tion

Data

La

nd

Sca

n G

lob

al P

op

ula

tion

PO

C:

Budhendra

Bhaduri,

bhaduribl@

orn

l.gov

Oak R

idge N

ational Labora

tory

Geospatia

l S

cie

nce P

rog

ram

Lan

dS

can

US

A

Ne

ed

Accura

te, hig

h-r

esolu

tion p

opula

tion c

ounts

are

critical fo

r em

erg

ency p

repare

dness a

nd

response. T

ypic

ally

, popula

tion d

ata

are

report

ed

by a

dm

inis

trative o

r accounting u

nits a

nd

repre

sent

“resid

ential”

or

“nig

httim

e”

popula

tion.

Ap

pro

ac

hLandS

can U

SA

utiliz

es G

IS a

nd R

em

ote

Sensin

g

data

and t

echnolo

gie

s t

hro

ugh a

dasym

etr

ic

modelin

g a

ppro

ach. Locating d

aytim

e p

opula

tions

requires n

ot only

census d

ata

, but data

on p

laces

of

work

, jo

urn

ey t

o w

ork

, and o

ther

mobili

ty

facto

rs.

Be

ne

fit

The L

andS

can U

SA

Popula

tion is a

very

hig

h-

resolu

tion (

90-m

ete

r cell)

popula

tion d

istr

ibution

that

depic

ts a

more

realis

tic,

non-u

niform

, tim

e-

dependent dis

trib

ution o

f popula

tion.

Nig

ht

Da

y

PO

C:

Budhendra

Bhaduri,

bhaduribl@

orn

l.gov

Oak R

idge N

ational Labora

tory

Geospatia

l S

cie

nce P

rog

ram

Mu

ltiv

ari

ate

an

d M

ult

i-scala

r A

naly

sis

in

Sp

ace a

nd

Tim

e

Nu

meri

ca

l W

eath

er P

red

icti

on

Mo

del

Ou

tpu

ts

Rem

ote

Sen

sors

Grou

nd

Measu

rem

ents

Prec

ipit

ati

on

Pre

dic

tion

Syst

em

Mean

an

d

Un

cert

ain

ty

Pro

pag

ati

on

La

rge-

Sca

le

Dyn

am

ics

Sm

all

-Sca

le

Dyn

am

ics

Sci

en

tifi

c

Da

taba

se

Rea

l-ti

me

Rea

l-ti

me

So

urc

e f

or

pic

ture

s:

NO

AA

(In

tern

et)

So

urc

e f

or

pic

ture

s:

So

urc

e f

or

pic

ture

s:

NO

AA

(In

tern

et)

NO

AA

(In

tern

et)

So

urc

e f

or

pic

ture

: U

CA

R (

Inte

rnet)

So

urc

e f

or

pic

ture

: U

CA

R (

Inte

rne

t)S

ou

rce

fo

r p

ictu

re:

UC

AR

(In

tern

et)

Nu

meri

ca

l W

eath

er P

red

icti

on

Mo

del

Ou

tpu

ts

Rem

ote

Sen

sors

Grou

nd

Measu

rem

ents

Prec

ipit

ati

on

Pre

dic

tion

Syst

em

Mean

an

d

Un

cert

ain

ty

Pro

pag

ati

on

La

rge-

Sca

le

Dyn

am

ics

Sm

all

-Sca

le

Dyn

am

ics

Sci

en

tifi

c

Da

taba

se

Rea

l-ti

me

Rea

l-ti

me

So

urc

e f

or

pic

ture

s:

NO

AA

(In

tern

et)

So

urc

e f

or

pic

ture

s:

So

urc

e f

or

pic

ture

s:

NO

AA

(In

tern

et)

NO

AA

(In

tern

et)

So

urc

e f

or

pic

ture

: U

CA

R (

Inte

rnet)

So

urc

e f

or

pic

ture

: U

CA

R (

Inte

rne

t)S

ou

rce

fo

r p

ictu

re:

UC

AR

(In

tern

et)

Ne

ed

Multiv

ariate

and m

ulti-scale

dependence

analy

sis

in s

pace a

nd tim

e, m

ultiv

ariate

pre

dic

tive m

odels

with u

ncert

ain

ty p

ropagation,

pre

curs

ors

for

rare

events

, and c

hange fro

m

spatio-t

em

pora

l analy

sis

.

Ap

pro

ac

h

Spatial corr

ela

tions a

nd k

ern

el estim

ate

s,

nonlin

ear

dependence, te

leconnections, best fit

pre

dic

tive m

odelin

g s

trate

gy w

ith lin

ear

and

nonlin

ear

meth

ods, anom

aly

dete

ction, pro

cess

dete

ction, hypoth

esis

genera

tion, and e

xtr

em

al

analy

sis

.

Be

ne

fit

Focused m

eth

odolo

gie

s for

geospatial-te

mpora

l know

ledge d

iscovery

, applic

ation s

olu

tions in

multip

le d

om

ain

s lik

e c

limate

, sensor

netw

ork

s,

an

d n

atio

na

l se

cu

rity

.

PO

C:

Budhendra

Bhaduri,

bhaduribl@

orn

l.gov

Oak R

idge N

ational Labora

tory

Geospatia

l S

cie

nce P

rog

ram

Para

llel V

isu

alizati

on

fo

r G

IS

Ne

ed

Abili

ty to v

isually

com

pre

hend e

ver-

gro

win

g

geogra

phic

data

sets

is lim

ited b

y the insuffic

ient

reso

lution o

f d

eskto

p m

on

ito

rs.

To

ad

dre

ss t

he

lim

itation, dis

pla

ys c

onstitu

ted

of

ma

ny m

on

ito

rs a

re

use

d.

Ho

weve

r, s

oft

wa

re t

ha

t su

pp

ort

su

ch

configura

tions is lackin

g.

Ap

pro

ac

hW

e h

ave d

evelo

ped a

module

for

a fre

ely

availa

ble

G

RA

SS

GIS

that can u

tiliz

e the c

apabili

ties o

f m

ulti-

scre

en d

ispla

y e

nvironm

ents

driven b

y L

inux-b

ased

PC

clu

ste

rs.

Be

ne

fit

The u

se o

f a s

tandard

GIS

in

the c

luste

r environm

ent

allo

ws u

s to e

mplo

y a

ll com

mon G

IS c

apabili

ties to

facili

tate

vis

ualiz

ation o

f very

larg

e g

eogra

phic

data

sets

on m

ulti-scre

en d

ispla

ys.

PO

C:

Budhendra

Bhaduri,

bhaduribl@

orn

l.gov

Oak R

idge N

ational Labora

tory

Geospatia

l S

cie

nce P

rog

ram

Sp

ati

al-

Tem

po

ral P

op

ula

tio

n D

yn

am

ics

NIG

HT

DA

Y

Devic

e f

or

executing m

odel

mod

elin

grel

ati

on

sim

ula

tion

rel

ati

on

Str

uctu

re f

or

genera

ting b

ehavio

r

cla

imed t

o r

epre

sent

real w

orld

Population Data

from Real World

Measurements

Population Data

from Real World

Measurements

Experim

enta

l F

ram

e Population

Population

Dynamics

Dynamics

Model

Model

Simulator

Simulator

Ne

ed

Typic

ally

Census d

ata

is s

tatic a

nd d

oes n

ot

repre

sent th

e d

ynam

ic b

ehavio

r of popula

tion

over

space a

nd tim

e.

Ap

pro

ac

h

By inte

gra

ting h

igh-r

esolu

tion p

opula

tion d

ata

w

ith s

ocio

-econom

ic a

nd b

ehavio

ral

assum

ptions a

nd tra

nsport

ation m

odelin

g

fram

ew

ork

s, m

obili

ty a

nd s

ocia

l dynam

ics o

f popula

tion a

re b

ein

g m

odele

d.

Be

ne

fit

Allo

ws a

deta

iled u

nders

tandin

g o

f popula

tion

movem

ent over

space a

nd tim

e, assessm

ent of

tim

e s

pecific

popula

tion d

istr

ibution, and

assessm

ent of socia

l dynam

ics a

nd inte

ractions

am

ong d

em

ogra

phic

gro

ups to e

valu

ate

possib

le

diffu

sio

n o

f dis

eases a

nd ideas thro

ugh c

onta

ct

and c

om

munic

ation.

PO

C:

Budhendra

Bhaduri,

bhaduribl@

orn

l.gov

Oak R

idge N

ational Labora

tory

Geospatia

l S

cie

nce P

rog

ram

Tera

-Scale

Data

In

teg

rati

on

Ne

ed

To a

ssis

t th

e T

ennessee B

ase M

appin

g P

rogra

m

(TN

BM

P)

in d

evelo

pin

g m

eth

ods o

f sto

ring, updating,

and p

rovid

ing a

ccess to larg

e s

patial data

sets

.

Ap

pro

ac

hU

sin

g o

ff-t

he-s

helf p

roducts

and c

usto

m d

evelo

pm

ent,

an e

ffic

ient

meth

odolo

gy w

as o

utlin

ed to h

andle

larg

e

scale

data

update

s a

nd to s

erv

e t

hat

data

thro

ugh t

he

US

GS

National M

ap. C

oopera

tion w

ith the T

NB

MP

te

am

and the U

SG

S e

nsure

d t

he f

lexib

ility

and

functionalit

y r

equired b

y b

oth

org

aniz

ations.

Be

ne

fit

Thro

ugh c

oopera

tion w

ith b

oth

org

aniz

ations, a

pro

toty

pe w

as d

evelo

ped to b

e u

sed a

s a

model fo

r th

e T

NB

MP

team

to p

rovid

e their

data

to t

he N

ational

Ma

p a

nd

assis

t T

NB

MP

fo

r tr

ackin

g c

hanges in s

patial

da

ta r

ecord

s.

PO

C:

Budhendra

Bhaduri,

bhaduribl@

orn

l.gov

Oak R

idge N

ational Labora

tory