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EOS Terra MODIS Land Processing and Distribution Overview

EOS Terra MODIS Land Processing and Distribution Overview. Joseph M Glassy, Director, MODIS Software Development at NTSG School of Forestry, Numerical Terradynamics Simulation Group University of Montana, Missoula Montana USA. Introduction. Goal:

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EOS Terra MODIS Land Processing and Distribution Overview

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  1. EOS TerraMODIS Land Processingand Distribution Overview Joseph M Glassy, Director, MODIS Software Development at NTSG School of Forestry, Numerical Terradynamics Simulation Group University of Montana, Missoula Montana USA

  2. Introduction • Goal: • describe overall MODIS Processing sequence for Land Product suite from instrument to user • summarize MODIS distribution flows

  3. Generalized Data Flow • Terra Platform / MODIS Instrument to… • EDOS/White Sands ground station • Reston, Virginia, Level 0 ingest • Goddard DAAC: L0, L1, L1B processing • Goddard MODIS Adaptive Processing System (MODAPS) for Level 2, 3, 4 • EROS Data Center DAAC - product ingest • EDC Distribution via Web EOS Data Gateway

  4. EOS Terra Overview • MODIS: Moderate Resolution imaging spectroradiometer: 36 channel, 3 nested resolutions {250m,500m,1km}, for daily land, atmosphere, oceans global products • MISR: Multi-angle Imaging Spectroradiometer. 4 color, multi-angle emphasis • MOPPITT: Canadian; measures atmospheric pollution • CERES: (Clouds and Earth’s radiance system) measures top-of-atmosphere cloud, energy analysis • ASTER: Japan; Advanced Spaceborne Thermal Emission and Reflection Radiometer. Emphasis: high resolution, local & regional earth imagery in 14 colors

  5. EOS Distributed Information SystemEOS-DIS Components • EOSDIS Distributed Active Archive Centers • EOSDIS Flight Operations Segment • EDOS: EOS Data and Operations Segment • SDPS: Science Data Processing Segment • SIPS: Science Investigator-led Processing Segment • SDVF: Software Development and Validation Facility

  6. Major EOSDIS Sites

  7. Role of Science Compute Facilities(like Univ. Montana SCF) • PI led, responsible for algorithm S/W development, test, maintenance • SCF algorithms routed to NASA for integration • Perform near real time Quality Assurance (QA) • Participate in global, regional Validation activities • Network: Abilene DS-3 connectivity • “Lite” hardware relative to DAACs

  8. Science Compute FacilityResources • Network: Abilene DS-3 connectivity to GSFC and to Eros Data Center EDC DAAC • Hardware configuration is “lite” relative to Team Leader Compute Facility and MODAPS • SCF System Concept: a flow directed, segmented architecture to enhance net through-put

  9. MODIS At A Glance • Software lines of code: 377,680, just for Production Generation Executables (PGEs) • MODIS data volumes: ca 665 Gb / day… • ca 931 MODIS ESDTs, of which ca 50 are Land products... • Land mask defines (ca 270) 10-deg tiles, each 1200x1200 pixels (388,800,000 pixels/ESDT) • Production uses new Integerized Sinusoidal grid...

  10. Integerized Sinusoidal Grid10-deg (36x18 tiles globally)

  11. More information? • http://terra/nasa.gov • http://modis-land.gsfc.nasa.gov/ • http://modis-land.gsfc.nasa.gov/validation • http://modis-and.gsfc.nasa.gov/reference/#product • http://edcdaac.usgs.gov/dataproducts.html • http://observer.gsfc.nasa.gov (ECS info) • http://www.forestry.umt.edu/ntsg

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