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Flow Charts for NPP VH

Flow Charts for NPP VH. 8/30/2012. MODIS. 250m 16 days NDVI (MYD13Q1) 290 tiles , 29GB/period, HDF 11 years: 7800 GB. 1km 8 days LST (MYD11A2) 317 tiles, 1.2GB /period, HDF 11 years: 600 GB. 500m 16 days NDVI Climatology GVI grid, 8x8 files, HDF 3.5GB/period 11 years: 75GB.

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Flow Charts for NPP VH

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  1. Flow Charts for NPP VH 8/30/2012

  2. MODIS 250m 16 days NDVI (MYD13Q1) 290 tiles, 29GB/period, HDF 11 years: 7800 GB 1km 8 days LST (MYD11A2) 317 tiles, 1.2GB /period, HDF 11 years: 600 GB 500m 16 days NDVI Climatology GVI grid, 8x8 files, HDF 3.5GB/period 11 years: 75GB 500m 16 days NDVI GVI grid, 8x8 files, HDF 1GB/period, 11year: 200GB 1km 8 days LST GVI grid,4x4 files, HDF 170MB/period 11 year: 80GB 1km 8 days LST Climatology GVI grid, 4x4 files, HDF 650MB/period 11 years: 30GB 4km 16 days NDVI Climatology GVI grid, 1 file, HDF 4km 16 days NDVI GVI grid,1 file, HDF 4km 8 days LST GVI grid, 1 file, HDF 4km 16 days 8 days LST Climatology GVI grid, 1 file, HDF 23x4 Images: NDVI_MEAN NDVI_MAX, NDVI_MIN, NDVI_STDDEV WEB:MODIS_VH/4km/16days/ 23 x11 Images: Mean_NDVI WEB:MODIS_VH/4km/16days/ 46 x11 Images: Mean_LST WEB:MODIS_VH/4km/8days/ 23x4 Images: LST_MEAN LST_MAX, LST_MIN, LST_STDDEV WEB:MODIS_VH/4km/8days/

  3. VIIRS VH 375m VIIRS image bands SVI01, SVI02, SVI05, IICMO, GMTCO 1014 granules per day, HDF5 IGBP landtype 1.1 km 500m GVI weekly Composite Reflectance of band 1 and 2 Temperature of band 5 4 geometry angles Packed_cloud_mask GVI grid, 8x8 files, HDF 500m GVI daily map Reflectance of band 1 and 2 Temperature of band 5 4 geometry angles Packed_cloud_mask GVI grid, 8x8 files, HDF 500m GVI ND file NDVI BT GVI grid, 8x8 files, HDF 500m GVI SM file SMN SMT GVI grid, 8x8 files, HDF Landseamask1.1 500m Climatology derived from MODIS GVI grid, 8x8 files, HDF 500m GVI VH file VCI TCI VHI GVI grid, 8x8 files, HDF 4km Climatology derived from AVHRR GVI grid, 8x8 files, HDF ?

  4. VIIRS VH Flow chart VIIRS 375m image bands SVI01, SVI02,SVI05, IICMO,GMTCO 1014 granules /day, HDF5 VIIRS 500m smoothed NDVI and BT (SM file) VIIRS 500m daily GVI VIIRS 500m weekly GVI VIIRS 500m NDVI and BT (ND file) Use similar procedure as AVHRR VH algorithm MODIS 10 years’ 250m 16-days NDVI 1000m 8-days LST MODIS 10 years Climatology: NDVI In 500m GVI grid LST in 1000m GVI grid Re-mapping VIIRS (combined) 1000m VIC/TCI/VHI (VH file) VH Calculator Merging VIIRS,MODIS, AVHRR AVHRR 30 years Climatology: NDVI and BT4 in 4km GVI grid

  5. GVI Sub-regions for VIIRS 500m VH product The GVI regions covers latitude zone from 55.152S to 75.024N It was divided into 8 x8 sub-regions with the same size Each region covers 45° x 16.27 ° degree, For VIIRS 500m VH product, each region has 1000x3616 grid cells All images are available at: http://www.star.nesdis.noaa.gov/smcd/emb/vci/VH/modis_browse16daysNDVI.php

  6. Scaling NDVI from various satellites • NDVI derived from: • AVHRR on NOAA-7,9,11,14,16,18,19 • MODIS on Aqua • VIIRS on Soumi NPP • Find the relationship: • NDviirsandNDmoids • NDviirs and NDN19 • NDmoidsand NDN19 • Proposal: Use the N19 as standard so that the VH is comparable to VH from AVHRR • scale VIIRS NDVI to N19 equivalent NDVI • scale MODIS NDVI climatology to N19 equivalent NDVI, interpolation need be done for 23 16-days periods to 52 weeks.

  7. Landsea mask • Source: • MOD44W : 250m water mask from MODIS Terra satellite • Invalid cells on 500m MODIS NDVI climatology (during the 11 years, there is no valid NDVI on these pixels.) • Land mask: • is a dataset of land flag • with 0 for water, 1 for land or coast • Option: When calculate weekly composite, do not output water pixels. • Option: When do ND, skip water pixel

  8. Land mask from MOIDS water mask (MOD44W) from MOIDS NDVI climatology (MYD13Q1)

  9. Comparison on two land mask data sets row, col, bath=water inconsistent both=land 1 1 18992671 783 1101197 16065349 1 2 8421520 1293 4225631 23511556 1 3 19313583 4066 2462572 14379779 1 4 25014343 11568 605778 10528311 1 5 19077478 1670 1912508 15168344 1 6 8601509 646 1466096 26091749 1 7 2423178 227 853016 32883579 1 8 12358880 8102 1055113 22737905 2 1 35212924 63 268690 678323 2 2 5622135 236 1829918 28707711 2 3 16280379 4340 2168491 17706790 2 4 32928547 92 234996 2996365 2 5 6810672 249 741940 28607139 2 6 8321 28 1671572 34480079 2 7 107383 67 549321 35503229 2 8 30397483 96 277123 5485298 3 1 36158972 0 1001 27 3 2 14051343 275 295749 21812633 3 3 27495136 672 367955 8296237 3 4 29137721 102 77110 6945067 3 5 12028872 292 417303 23713533 3 6 653991 53 1546090 33959866 3 7 9038828 2657 548848 26569667 3 8 35092248 56 61924 1005772 4 1 36076598 49 11917 71436 4 2 30777361 76 117998 5264565 4 3 32320206 1518 320053 3518223 4 4 23158988 22 75887 12925103 4 5 1849343 275 168895 34141487 4 6 19150055 4436 262379 16743130 4 7 22470080 1392 456117 13232411 4 8 36140922 47 14217 4814 row, col, bath=water inconsistent both=land 5 1 36152728 477 5001 1794 5 2 36118373 1 12029 29597 5 3 13284167 178 513973 22361682 5 4 31801319 22 68372 4290287 5 5 7333873 134 641121 28184872 5 6 34245177 590 45234 1868999 5 7 27949898 2035 597779 7610288 5 8 34110328 3530 135144 1910998 6 1 36039375 218 82869 37538 6 2 36159998 1 1 0 6 3 12180913 44 225698 23753345 6 4 30696263 250 41788 5421699 6 5 15097367 79 421132 20641422 6 6 34398758 115 45738 1715389 6 7 28668248 312 239483 7251957 6 8 29702269 846 297311 6159574 7 1 36157284 6 1968 742 7 2 36156970 57 1867 1106 7 3 20030388 146 288028 15841438 7 4 36090174 30 9283 60513 7 5 27099280 139 74555 8986026 7 6 35822546 6 5057 332391 7 7 25421762 184 112811 10625243 7 8 23466642 200 168537 12524621 8 1 36151155 7 4426 4412 8 2 36159999 0 1 0 8 3 29527264 983 627356 6004397 8 4 36127577 63 7342 25018 8 5 36156453 0 1542 2005 8 6 36092018 180 19363 48439 8 7 36159999 0 1 0 8 8 34589404 117 112750 1457729

  10. Consistency between NDVI and land-mask from MOD44W

  11. Using high resolution (500m) land mask derived from MODIS NDVI climatology

  12. links • Idl_GVI/prog/data  ~/DATA • VHP/code/scripts/data  ~/DATA • Mcidas/bin2/data  ~/DATA • Mcidas/data  /data/smcd/wguo/mcidas_data

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