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MODIS/Aqua Net Primary Production Gap-Filled (NPP) at Alaska ARM AMF3 Oliktok

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BandDescriptionData BandsQuality Filtered and ScaledSummary Data
Npp_500mNet Primary Productivity csv json csv jsoncsv json
Npp_QC_500mQuality Control Bits csv json
All Bandscsv jsoncsv jsoncsv json

See File Formats documentation for details. Pixel Numbering Scheme

ProductMODIS/Aqua Net Primary Production Gap-Filled (NPP)
CoordinatesLatitude: 70.495328, Longitude: -149.882297 (WGS84 datum)
Areal ExtentApproximately 8.5 km [17 Pixels] Wide x 8.5 km [17 Pixels] High
Subset Date Range2002-01-01 (2002001) to 2023-01-01 (2023001)
Site IDus_alaska_arm_amf3_oliktok
Quality Control ConditionsAs Specified by Science Team (See QC Details tab)

Cite the Fixed Sites Subsets Tool [1] and the subset product [2] with the following citations. You may also download BibTeX citation

[1] ORNL DAAC. 2018. Fixed Sites Subsetting and Visualization Tool. ORNL DAAC, Oak Ridge, Tennessee, USA. Accessed December 15, 2025. Subset obtained for MYD17A3HGF product at site id 'us_alaska_arm_amf3_oliktok'. https://doi.org/10.3334/ORNLDAAC/1567

[2] S. Running, Zhao, M. 2021. MYD17A3HGF MODIS/Aqua Net Primary Production Gap-Filled Yearly L4 Global 500 m SIN Grid V061. NASA EOSDIS Land Processes DAAC. https://doi.org/10.5067/MODIS/MYD17A3HGF.061

Location Details

Latitude [70.495328] Longitude [-149.882297]: Horizontal Tile [12] Vertical Tile [01] Sample [1194] Line [1140]

Subset area boundarySubset area boundary
Corner Coordinates
Northwest Corner Latitude,Longitude: 70.530750 N, 150.250617 WNortheast Corner Latitude,Longitude: 70.530750 N, 150.038096 W
Southwest Corner Latitude,Longitude: 70.459917 N, 149.727121 WSoutheast Corner Latitude,Longitude: 70.459917 N, 149.515341 W
  • QC Filter Conditions
  • QC explanation for MODIS/Aqua Net Primary Production Gap-Filled (NPP_QC)
  • QC bit word numbering (0,1,2,3,4,5,6,....n):(n=7 or 15 or 31)
Filter ClassBitsBinaryQA-bitsValue
(Bin)
Value
(Int)
Bands
applied
QC bandDescriptionDisplay
Fill_Value8noNA255NAallNpp_QC_500mFill ValueSupressed
Fill_Value16noNA32761NANpp_500mNpp_500mland cover assigned as unclassified or (not able to determine)Supressed
Fill_Value16noNA32762NANpp_500mNpp_500mland cover assigned as urban/built-upSupressed
Fill_Value16noNA32763NANpp_500mNpp_500mland cover assigned as permanent wetlands/inundated marshlandSupressed
Fill_Value16noNA32764NANpp_500mNpp_500mland cover assigned as perennial snow,ice.Supressed
Fill_Value16noNA32765NANpp_500mNpp_500mland cover assigned as barren,sparse veg (rock,tundra,desert)Supressed
Fill_Value16noNA32766NANpp_500mNpp_500mland cover assigned as perennial salt or inland fresh waterSupressed
Fill_Value16noNA32767NANpp_500mNpp_500mFill ValueSupressed

Timeseries View

MYD17A3HGF / Npp_500m (All acceptable pixels)

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Gridded View



Additional Information

MODIS Landcover IGBP Classification Scheme (Type_1 MCD12Q1)

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BandDescriptionData Bands
LC_Type1Land Cover Type 1: Annual International Geosphere-Biosphere Programme (IGBP) classification csv json

Shannon Diversity Components: Richness= Evenness=

User Guide for the MODIS Land Cover Type Product (MCD12Q1)PDF

MODIS Phenology time series (MCD12Q2)

Phenology region for user selected area 8.5 km wide x 8.5 km high

Cycle 1

Cycle 2
  • Greenup: Average date of the greenup (date when EVI2 first crossed 15% of amplitude) in the subset area
  • MidGreenup: Average date of the mid greenup (date when EVI2 first crossed 50% of amplitude) in the subset area
  • Maturity: Average date of the maturity (date when EVI2 first crossed 90% of amplitude) in the subset area
  • Peak: Average date of the peak (date when EVI2 reached maximum amplitude) in the subset area
  • Senescence: Average date of the senescence (date when EVI2 last crossed 90% of amplitude) in the subset area
  • MidGreendown: Average date of the mid greendown (date when EVI2 last crossed 50% of amplitude) in the subset area
  • Dormancy: Average date of the dormancy (date when EVI2 last crossed 15% of amplitude) in the subset area

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ProductData Bands
MCD12Q2.061 csv json

User Guide for the MODIS Land Cover Dynamics Product (MCD12Q2)PDF

Resources

Create statistics plots in R
Visualize the data from the 'Downloads' section above as informative plots in R. Using the provided scripts, different statistical plots can be easily generated, such as plots of mean monthly values or mean yearly values, frequency histograms, time series plots with years stacked, etc.