VIIRS Land PEATE Masuoka, Wolfe, Isaacman and Devadiga.

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Presentation transcript:

VIIRS Land PEATE Masuoka, Wolfe, Isaacman and Devadiga

Land PEATE Overview  The NPOESS Preparatory Project (NPP) VIIRS Land Product Evaluation and Algorithm Test Element (PEATE) supports the NPP Science Team in assessing the utility of NPP Land Environmental Data Records (EDRs) for climate research  Land PEATE builds upon the MODIS approach and infrastructure for science team support, product generation and quality assessment  VIIRS product generation software runs in MODAPS  Gridded (Level 3) products (Diagnostic Data Records) facilitate comparison with MODIS products and ground-truth  Products available online for Science Team evaluation  LDOPE (Land Data Operational Product Evaluation) team works with Science Team in evaluating product quality  Land PEATE supports CERES on NPP with reprocessing of VIIRS SDR and aerosol products

Page 3 Land PEATE Context Diagram SD3E Ancillary Data Providers CLASS (ADS) MODAPS CasaNOSA I&TSE Ancillary data Algorithm updates Management direction Algorithm updates Algorithms & data Processing requests SCIENCE TEAM Processing requests MODIS products PSOE Test results SDS Teams SDS Elements External Systems KEY Direct Readout Lab Algorithm updates Pre-flight algorithms, data and information xDRs, IPs and ancillary data (if unavailable from SD3E) xDRs, IPs and ancillary data SDR evaluation results, algorithm updates Data Tools Ported Algorithm Code Processing requests xDR evaluation results, algorithm updates Known issues, algorithms & data SPA Validation NICSE VIIRS Land PEATE

Page 4 Product Evaluation Flow

Land PEATE Architecture - Overview  Uses MODAPS software for processing and distribution  Scalable clusters of inexpensive Intel-based servers running open source software  Now: 16 servers and 20TB storage running VIIRS SCI and OPS s/w and Science Team improvements.  At launch, 120 servers and 600GB storage, run processing at least 10x

Upcoming Milestones  Power installed for servers and storage – September 2008  360TB of storage and 40 more servers installed – October 2008  Upgrade network bandwidth (1GigE to 10 GigE) – December 2008  Launch-ready build of Land PEATE (Build 3) – March 2009  Functional thread tests (ingest XDRs, validate XDRs, support Cal.) – June 2009  “Day in the Life” test with NPP SDS – January 2010

Page 7 LPEATE L2 PROCESSING SCIENCE CODE OPS V1.4 SCI, OPS V1.4,1.5 CLOUD MASK FIRE MASK AEROSOL PARTICLE SIZE SEA ICE AEROSOL OPTICAL THICKNESS AEROSOL SUSPENDED MATTER LAND SURFACE TEMP SNOW SURFACE TYPE CLOUD OPTICAL PROPS NPPDAPS ARCHIVE PROXY SDRS GRIB FILES GLOBAL GRIDDED DATA MODAPS ARCHIVE PROXY SDRS GRIB FILES GLOBAL GRIDDED DATA GRANULATION LAND SURFACE REFL EVI AND NDVI

Page 8 LPEATE DIAGNOSTIC DATA RECORDS 0.0. MODAPS ARCHIVE L2 FIRE MASK L2 SURF REFL L2 VEG INDX L2 SURF TEMP L2 SNOW COV L2 SEA ICE 8/16/QUARTERLY GRIDS DAILY GRIDS “POINTER” FILES GEOLO- CATION ANGLES GLOBAL GRIDDED POINTERS 8-DAY FIREMASK 8-DAY SURFACE REFL 8-DAY SURFACE TEMP L2G FIREMASK L2G VEGETATION INDEX DAILY LAND SURFACE REFL 16-DAY VEGETATION INDEX L2G SNOW COVER L2G LAND SURFACE TEMP L2G SEA ICE 8-DAY SNOW COVER 16-DAY BRDF_/ ALBEDO COMING FALL 2008 QUARTERLY SURFACE TYPE COMING FALL 2008

OPS code re-integration (Build 1.5) SoftwareStatus Fire MaskCompleted Cloud MaskCompleted Aerosol Optical ThicknessCompleted Surface ReflectanceMay Vegetation IndexMay Land Surface TemperatureJune Aerosol Particle Size, Suspended MatterJune Surface TypeJune Land Surface AlbedoJuly Cloud Optical PropertiesJuly SnowJuly Sea Ice Characterization, Ice Surface Temp.August

Build 1.5 integration and DDRs SoftwareStatus RDR-SDR-GEO CodeJune-July OPS Granulation/Gridding WrapperJune-July Granulation to Gridding RoutinesJuly Gridding to Gridding RoutinesAugust Adapt MODIS L2g to VIIRS geometryCompleted VIIRS L2g pointers and L2g geo-anglesCompleted Daily Surface Reflectance, Fire and Snow DDRCompleted 8-day Surface Reflectance, Surface Temperature, Snow and Fire June-Sept 16-day BRDR/Albedo, VIOctober 96-day Surface TypeDecember

Page 11 LPEATE LEVEL 1 & 2 HDF5->4 AGGREGATOR IDPS 48-SCAN SINGLE-BAND HDF5 PRODUCTS AGGREGATED HDF4 APPROXIMATE 5-MINUTE GRANULES MODERATE RES. SDR BAND M1 MODERATE RES. SDR BAND M2 MODERATE RES. SDR BAND M15 MODERATE RES. SDR BAND M16 MODERATE RES. SDR BAND M1 MODERATE RES. SDR BAND M2 MODERATE RES. SDR BAND M15 MODERATE RES. SDR BAND M16 MODERATE RES. SDR BAND M1 MODERATE RES. SDR BAND M2 MODERATE RES. SDR BAND M15 MODERATE RES. SDR BAND M16 MODERATE RES. SDR BAND M1 MODERATE RES. SDR BAND M2 MODERATE RES. SDR BAND M15 MODERATE RES. SDR BAND M16

Page 12 HDF 5->4 AGGREGATOR GUI

Page 13 Algorithm Comparison Land Surface Reflectance (2002/222 19:40) NPP Build 1.4/1.5MODIS Aqua C5 UNREALISTIC VALUES DUE TO OVERCORRECTION BOWTIE DELETIONS (REMOVED ON REPROJECTION)

Page 14 FireMask Algorithm Comparison Science Code Algorithm OPs V1.4 Code Algorithm OPs V1.5 Code Algorithm Comparison of one scene between Fire Mask generated by the original Science Code algorithm and masks generated by OPs code V1.4 and V1.5 versions of the algorithm. Data were generated using proxy data from MODIS Aqua :45 Namibia