• Five MODLAND babies in 2000, more on the way…

• MODLAND Validation Update for Terra and Aqua (on-line)

• Jaime Nickeson: additional support for Validation

• Core Site ftp directories: MODIS subsets, ETM+, ASTER

• "MODIS Tool"

• MELite portable Mercury metadata editor

• Mercury spatial & temporal search

• ORNL "Best Practices" guide document

• Airborne/Tasking plans: ER-2 deployment, MQUALS 2001 flight plan, Ikonos tasking

What’s New: Outline What’s New: Outline

• IKONOS tasking for Springs needs to be tasked in February

• Airborne plans should be shared during breakout in order to maximize multiple use.

Airborne/Tasking plans: ER-2 deployment,

Airborne/Tasking plans: ER-2 deployment,

Likely targets:

• SALSA- Walnut Gulch flight in January with Rachel Pinker

• JORNEX dry and wet seasons with USDA-ARS

• Harvard Forest

• Konza

Possible targets:

• LBA (one or two sites)

• Mondalbobi, Mongolia

Airborne/Tasking plans: MQUALS 2001 flight plan,

Airborne/Tasking plans: MQUALS 2001 flight plan,

• Need to submit early growing season requests in early February

• May want to specify viewing geometry in tasking request

• Will explore coordination with Stennis validation efforts

• All data from 2000 available to any NASA funded investigator

• ER-2 Airborne plans should be shared during breakout in order to maximize multiple use.

Airborne/IKONOSTasking plansAirborne/IKONOSTasking plans

MODLAND validation home pagehttp://modarch.gsfc.nasa.gov/MODIS/LAND/VAL

MODLAND validation home pagehttp://modarch.gsfc.nasa.gov/MODIS/LAND/VAL

Web structure for Core Site dataWeb structure for Core Site data

MODIS Validation Page

http://modarch.gsfc.nasa.gov/MODIS/LAND/VAL/

Core Sites Overview

./core_sites.html

MODLAND Product specific sites

(listed on “val” page)

…

Satellite imagery

Locally maintained data and information

Field and Airborne data

Ancillary data and background information

(links for all 24 sites, follow “shortcuts” from top page)

“vital” statistics: coordinates, contact, …

Core Site data summaryCore Site data summary

AR

M/C

AR

T

Bar

ton

Ben

dish

Bon

dvil

le,I

L

BO

RE

AS,

NSA

BO

RE

AS

SSA

/B

ER

MS

Cas

cade

sLT

ER

Har

vard

For

est

How

land

Ji-

Par

ana

Jor

nada

LT

ER

Kon

za P

rari

e

Kra

snoy

arsk

Man

dolg

obi

Mar

icop

a A

g.

Mon

gu

SA

LSA

Sev

ille

ta L

TE

R

Sku

kuza

Tap

ajos

Uar

dry

USD

A A

RS

VC

R

Wal

ker

Bra

nch

Wis

c.P

ark

Fal

ls

MODIS Subsets * * *

SeaWiFS subsets

Ancillary report (CRESS)

Ancillary data (GLCF)

ETM+ (with # of acquis itions) 7 3 5 4 5 2 1 7 2 5 5 5

Ikonos 1-DEM 2 1 1 1 2 2 1 2 4 2 Airborne (MQUALs or ER-2, both) AT

Global Land Cover Test Sites

GeoCover: 1990 TM data

Aeronet CIMEL (planned)

EO-1 coverage - planned

ASTER & MISR local mode - planned 1

EDC DAAC Data Support for EOS Validation

EDC DAAC Data Support for EOS Validation

John DwyerORNL DAACJanuary 2001

NASA EOS Validation ProgramNASA EOSDIS DAAC

EOS Validation FTP Site Activity for 2000

0

5000

10000

15000

20000

25000

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

Monthly Summary

To

tal

MB

yte

s

Core Validation Site Data Retrieval

EOS Validation FTP Site Activity for 2000

0

5000

10000

15000

20000

25000

Tota

l MB

yte

sCore Validation Site Data Retrieval

/1999 /2000 /2001

EOS Land Product Validation FTP Server

/GLCTS /Landsat7

/”site name”

/Geocover /MODIS /ASTER

/”site name”/”site name”

Level-0RLevel-1G

MOD09A1MOD13A2MOD43B3

AST_L1B

• Accessible from Land Validation Web Site or ORNL DAAC Mercury

http://modis-land.gsfc.nasa.gov/val/http://mercury.ornl.gov/

SOUTH DAKOTA SCHOOL OF MINES AND TECHNOLOGYSOUTH DAKOTA SCHOOL OF MINES AND TECHNOLOGY

COLLEGE OF SYSTEMS ENGINEERINGCOLLEGE OF SYSTEMS ENGINEERING

MODIS MAP REPROJECTION TOOLMODIS MAP REPROJECTION TOOL

Projections•UTM•Lambert Conformal Conic•Lambert Azimuthal•Sinusoidal•Mollweide•Hammer•Polar Stereographic•Interrupted Goode Homolosine

Platforms•Windows 95,98•WindowsNT•Solaris•IRIX SG•Linux

Formats•HDF-EOS•GeoTiff•Multi-file

SOUTH DAKOTA SCHOOL OF MINES AND TECHNOLOGYSOUTH DAKOTA SCHOOL OF MINES AND TECHNOLOGY

COLLEGE OF SYSTEMS ENGINEERINGCOLLEGE OF SYSTEMS ENGINEERING

MODIS MAP REPROJECTION TOOLMODIS MAP REPROJECTION TOOL

BEFOREBEFORE AFTERAFTER

MODIS MAP REPROJECTION TOOLMODIS MAP REPROJECTION TOOL

StatusStatus

• Initial public release scheduled for Feb 28Initial public release scheduled for Feb 28

Support of 2-D dataSupport of 2-D data

Bug fixesBug fixes

Selected enhancements Selected enhancements

• Second release (TBD)Second release (TBD)

4-D data4-D data

Other enhancementsOther enhancements

ORNL Data Support for EOS Validation

ORNL Data Support for EOS Validation

Dick Olson, Bob Cook, Les HookORNL DAACJanuary 2001

NASA EOS Validation ProgramNASA EOSDIS DAAC

http://daac.ornl.gov/eos_land_val/valid.html

Objective

OverviewOverview

• Validation data available from ORNL DAAC– Gap-filled flux data compiled for 11 core sites

– Real-time Validation Exercise underway

– Site ancillary data available for core sites

– MODIS products to be posted (proposed)

• > 80 Land Validation data sets registered in Mercury • Mercury and ORNL Metadata Editor available,

enhancements planned

Individual Site Data

ValidationData SetsRegisteredin Mercury

FLUXNETGap-filledNEE, LE,

others

MODIS products (MODAPS)

11x11cutouts

ModelersReal-TimeValidation Exercise

DAACArchive

Validation ActivitiesValidation Activities

ORNL DAAC

Mercury FLUXNETWeb Page

ValidationWeb Page

MODISLand

Validation

EDCDAAC

200X200cutouts

Links tosite info,imagery,

EDC,CRESS

ImageryETM

GLCTS

Registered Data in Mercury Registered Data in Mercury

• 27 BigFoot - Tom Gower, Dave Turner• 8 Wisc. Study - Tom Gower, Sean Burrows• 4 KonVEx - Dave Meyer, Jeff Morisette, Carol Bruegge • 1 FLUXNET - Dick Olson, Dennis Baldocchi• 1 SAVE - Jeff Privette • 13 Surface Radiation, Saudi Aradia - Darryl Myers• 2 LAI - Ranga Myneni• 8 ETM Imagery, MQUALS - Jeff Morisette • 3 SALSA/Maricopa - Susan Moran• 1 CD - Mandalgobi, Mongolia - Dr Honda• 11 ORNL DAAC validation-related data sets• 81 data sets entered by 16 PI’s (64 have User Ids)

or enter specificcoordinates

2. Spatial Search(use cursor to define

area of interest)

Mercury Searching

3. Temporal Search

1. Fielded Search(using picklists for

Project, Site PI, Parameter, etc.)

Web Browse Tree Searchprovides organized “pick lists” for predefined hierarchies of metadata, e.g.,parameters within sensors within sites

2. Select Site

3. SelectSensor

4. Select Parameter to bring

up metadata for data sets

1. Select order in which to retrieve

available dataset listings

MELite for MercuryMELite for Mercury

• ORNL Metadata Editor (OME) – on-line editor that produces formatted files

containing metadata for Mercury

• Metadata Editor Lite (MELite)– standalone (PC platforms) editor that produces

files to be uploaded to the on-line OME– developed by S2K Project (Dozie Ezigbalike),

available for download from the S2K Web site

ORNL Metadata Editor (OME) Screen

Picklistfor Site

Typical MELiteInput Screens -

Parameters

Typical MELiteInput Screens -

Parameters

SmartPicklists

Page orientation

Data ConcernsData Concerns

• Availability: not all validation data are being registered in Mercury– even with NASA “6-month” Data Policy– investigators may be performing validation without

registering data in Mercury for sharing– encouragement from NASA Program Managers – promote Mercury with metadata entry tools– provide Mercury status reporting tools

• Documentation: different formats, file organization, units of measure– distribute “Best Practices”

Posting MODIS ProductsPosting MODIS Products

• UMt group is extracting 11x11 km cutouts for MODIS products for core and flux sites– .hdf format, integerized-sinusoidal projection– LC/LCC (MOD_12), VI (MOD13), fPAR/LAI (Mod-15),

GPP (MOD-17), others?– 8-day composites

• ORNL proposes to post cutouts– re-project to appropriate projection (UTM) to relate to field

work with desired positional accuracy– re-format into an ASCII table– need agreement on common projection and process

Re-projecting MODIS DataRe-projecting MODIS DataWisconsin Park Falls Site

UTM

Geog.

MODIS sinusoidal

Best Practices for Preparing Ecological

and Ground-Based Data Sets

to Share and Archive

Robert B. Cook, Richard J. Olson,

Paul Kanciruk, and Leslie A. Hook

Environmental Sciences Division

Oak Ridge National Laboratory

• Prepared by ORNL (Cook et al.)• Best Practices include:

1. Assign Descriptive File Names 2. Use Consistent and Stable File Formats 3. Define the Parameters 4. Use Consistent Data Organization 5. Perform Basic Quality Assurance 6. Assign Descriptive Data Set Titles 7. Provide Documentation

• Provided this document to SAFARI 2000, EOS Land Validation, BigFoot, and LBA projects

• Available on-line, in booklets, Ecol. Bull. (in press)(http://www.daac.ornl.gov/DAAC/PI/bestprac.html)

Best Practices for Preparing Ecological and Ground-Based Data Sets to Share and Archive

Best Practices for Preparing Ecological and Ground-Based Data Sets to Share and Archive

How can we best support validation?

How can we best support validation?

• What are the biggest obstacles for EOS validation, what can be done to help?

• Should the DAAC post a selected set of 8-d MODIS products for the 11x11 cutouts for core sites?

• Do links to imagery at EDC that are in the Land Validation Web site need to go into Mercury?

• Would MELite for Mercury be used by field investigators?