Land Atmosphere Near real-time Capability for EOSDIS (LANCE)

Karen Michael, Kevin Murphy, Dawn Lowe, Jeanne Behnke - ESDIS Project, GSFC Martha Maiden, NASA HQ Chris Justice (UMd), Michael Goodman (NASA HQ) UWG Co-Chairs

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lance.nasa.gov

The Land, Atmosphere Near-real-time Capability for EOS(LANCE)

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• Building on existing EOSDIS elements LANCE provides data from MODIS, OMI, AIRS, MLS, and AMSR-E instruments in near real-time (< 3 hours from observation)

• Utilizes algorithms used for Standard Science Products, but relaxes requirements for slower ancillary data inputs

• High operational availability • Applications of LANCE data

include:

– Numerical weather & climate prediction/forecasting

– Monitoring of Natural Hazards

– Drought Early Warning

– Disaster Relief

– Agricultural Monitoring

– Air Quality

– Homeland Security

• A stand alone system Ocean Color Web has been developed for NRT applications

lance.nasa.gov

LANCE System Architecture

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lance.nasa.govLeverages existing EOS processing and distribution capabilities at multiple locations, collocated with science expertise.Provides users with a ‘one-stop-shop’ for EOS near real-time products through the LANCE web portal.Primary driver of latency is in the spacecraft to ground transmission. New approaches and capabilities are being evaluated to effect latency improvements.

TERRA

AQUA / AURA

lance.nasa.gov

High Operational Availability withMeasurable Latency

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LANCE vs. Standard Product Latency – MODIS Example

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Standard Processing LANCE Processing(typical)

Product Category Terra(hrs) Aqua(hrs) Terra/Aqua (hrs)

L1/Cloud Mask 8 25 1.7

L2 Snow 8 25 1.8

L2 Sea Ice 8 25 2.0

L2 Fire 8 25 1.9

L2 Clouds 32 32 2.2

L2 Aerosol 32 32 2.2

L2 LSR 40 41 2.1

lance.nasa.gov

Near Real-Time vs. Science Quality Products – MODIS Example

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Science Product Near Real-Time Product

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Near Real-Time vs. Science Quality Products – MODIS Example

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Short Name

Science Data Match

(% Global)

#pixel

(%Global)

Omission Error

#pixel (%)

Commission Error

#pixel (%)

MOD09 LSR-B1 98.94 N/A N/A N/A

MOD09 LSR-B2 99.12 N/A N/A N/A

MOD09 LSR-B3 99.32 N/A N/A N/A

MOD09 LSR-B4 99.16 N/A N/A N/A

MOD10 L2 Snow 99.97 31831094 (2.1%) 39751 (0.13%) 44255 (0.14%)

MOD29 L2 Sea Ice 99.95 14471848 (5.5%) 8383 (0.06%) 14812 (0.1%)

MOD14 L2 Fire 99.97 3207 (0%) 2 (0.06%) 3 (0.09%)

• For LSR the Match is the percentage of NRT data with <1% error margin when compared to the operational Collection 5 codes

• For Snow, Sea Ice, and Fire, the Match is the exact pixel to pixel match between NRT and operational Collection 5 codes

• Omission and Commission errors are computed as a percentage of the snow, sea ice, fire in the operational Collection 5 products

lance.nasa.gov

Brokerage and Direct Access

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LANCE focuses on providing data to brokers who perform value added processing and services for downstream users.

LANCE provides limited services that enable brokers to quickly create products for hazard, forecasting and disaster response

All requests for LANCE enhancements are reviewed by the user working group to ensure enhancements are coordinated with LANCE capabilities and resources

ApplicationBrokers

ApplicationBrokers

ApplicationBrokers

ApplicationBrokers

Direct Access

lance.nasa.gov

AIRS/MLS Products

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LANCE-AIRS-Aqua Icelandic Volcano Ash Plume

Eyjafjallajokull April 15, 2010LANCE AIRS/MLS

AIRS L1B channel subsets are available in BUFRAIRS L2 quality improved using NOAA/NCEP Global Forecast SystemAIRS is availble in the following formats PNG, GeoTIFF, and KMZ formats using the Open Geospatial Consortium (OGC) Web Map Service (WMS)

Instrument Product Categories Average Latency

AIRS Radiances, Temperature and Moisture Profiles, Clouds and Trace Gases

75 – 140 minutes

MLS Ozone, Temperature 75 – 140 minutes

Visible 3km SO2 10km

Processing Lead: Bruce Vollmer

lance.nasa.gov

AMSR-E Products

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LANCE-AMSR-E-AquaHurricane Alex, July 1, 2010,08:26

UTCAMSR-ECurrently implementing Baseline Near Real-time processing at the AMSR-E SIPSEnhancements will include development of an L2A algorithm specialized for near-real time processing and rapid deployment of updated L2B and L3 algorithms operating at the SIPS.

Instrument Product Categories Average Latency

AMSR-E Brightness Temperatures, Soil Moisture, Rain Rate, Ocean Products

80 - 135 minutes

Processing Lead: Helen Conover

lance.nasa.gov

OMI Products

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LANCE-OMI-AuraIcelandic Volcano Eyjafjallajokull April 15, 2010, 11:58-12:04 UTC

LANCE OMIOMI NRT products are available through LANCE to registered users including OMTO3 (Total Column Ozone), OMSO2 (Sulphur Dioxide) and OMAERUV (Aerosol).

Instrument Product Categories Average Latency

OMI Ozone, Sulfur Dioxide, Aerosols

100 – 165 minutesLatency excludes L3

Processing Lead: Curt Tilmes

lance.nasa.gov

MODIS Products

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LANCE-MODIS-TerraOil Spill in Gulf of Mexico May 24, 2010 16:50 UTCLANCE MODIS

Currently implementing geographic, parameter and band subsetting in addition to pan sharpening, reprojection, mosaicing, sub-sampling, flood mapping and Geo Tiff format conversion.Future developments include integration of the MODIS Rapid Response, Web Coverage and Mapping along with the Fire Information for Resource Management System

Instrument Product Categories Average Latency

MODIS Radiances, Cloud/Aerosols, Water Vapor, Fire, Snow Cover, Sea Ice, Land Surface Reflectance, Land Surface Temperature

90 – 145 minutesLatency excludes L2G and L3

Processing Lead: Edward Masuoka

lance.nasa.gov

MODIS Global Time FiresLast 10 days

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lance.nasa.gov

Fire Information for Resource Management

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• FIRMS provides the MODIS fire information in small, easy to use formats through the internet and fire email alerts.

• Capabilities• Interactive Web GIS• Email alerts (sent to over 100 countries) • Subsets of MODIS images• Active fire data downloads (KML, Shape, Text files and plug-ins for Google Earth and

NASA World-Wind)

• FIRMS provides the MODIS fire information in small, easy to use formats through the internet and fire email alerts.

• Capabilities• Interactive Web GIS• Email alerts (sent to over 100 countries) • Subsets of MODIS images• Active fire data downloads (KML, Shape, Text files and plug-ins for Google Earth and

NASA World-Wind)

FIRMSFire Information for Resource Management

University of Maryland, NASA GSFC, Sigma Space, UN FAO

lance.nasa.gov

Active Fire Mapping

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Source: http://activefiremaps.fs.fed.us/index.phpUSDA/USFS

lance.nasa.gov

Flood Mapping

16Dartmouth Flood Observatory

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Sea - Ice Monitoring

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Source: http://www.ec.gc.ca/glaces-ice/default.asp?lang=En&n=D32C361E-1

Canadian Ice Service

lance.nasa.gov

Dust Detection Over Land

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The Approach:Use multi-spectral MODIS data to identify dust via color, thermal, spectral (11/12) contrast, and 1.38 cirrus filtering.

())Vis/NIR IndexVis/NIR IndexTemperature Temperature

Cirrus FlagCirrus FlagSplit WindowSplit Window

dust

The Application: Depicting dust storms over the bright deserts through enhanced imagery.

DoD Context:Mission planning, aircraft routing/launch/recovery, weapons selection.

Source: Jeff Hawkins

Naval Research Laboratory Monterey

Dec 3-18, 2007Dec 19-Jan1, 2008Jan 1-Jan 16, 2008Jan 17 – Feb 1, 2008Feb 2 – Feb 17, 2008Feb 18 – March 4, 2008March 5- March 20, 2008March 21- Apr 5, 2008

Drought Monitoring

April 6- Apr 21, 2008

Source: NASA MODIS NDVI

Vegetation Index Time Series for Cropped Areas in Iraq

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Current Season (2007-2008)

Mean (2000-2007)Source: NASA MODIS NDVI

Mean Vegetation

Index

Mean Vegetation

Index

Drought Impacted Vegetation Index (2007-08)

Drought Impacted Vegetation Index (2007-08)

averageaverage

average USDA FAS / UMD / GSFC

lance.nasa.gov

GEO Agricultural Monitoring Community of Practice

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• Several global/regional scale systems in place – many use MODIS data• Data latency is critical for all of these programs

lance.nasa.gov

Way Forward

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• Initial System Review and User Forum Held (Dec 2009) • Decisions on LANCE Registration• Need for a User Working Group recognized to guide system development and prioritize activities

• Weekly Project Telecons to coordinate common issues across processing systems – web portal, metrics, reducing latency, algorithm succession, outreach • LANCE User Working Group being formed (Fall Meeting Planned, DC Area) – topics include:

- Prioritization of development activities - Further Latency improvements being worked- Access improvements- NASA Near Real Time Symposium Planned for Spring 2011

• Join us at the Fall 2010 AGU

• IN07: Current Capabilities and Future Needs of Near Real-Time Data: Perspectives from Users and Producers