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MODIS/Terra Gross Primary Productivity (GPP) at California Sagehen Creek Field Station

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BandDescriptionData BandsQuality Filtered and ScaledSummary Data
Gpp_500mGross Primary Production csv json csv jsoncsv json
PsnNet_500mNet Photosynthesis csv json csv jsoncsv json
Psn_QC_500mQuality Control bits csv json
All Bandscsv jsoncsv jsoncsv json

See File Formats documentation for details. Pixel Numbering Scheme

ProductMODIS/Terra Gross Primary Productivity (GPP)
CoordinatesLatitude: 39.4315, Longitude: -120.2398 (WGS84 datum)
Areal ExtentApproximately 8.5 km [17 Pixels] Wide x 8.5 km [17 Pixels] High
Subset Date Range2000-02-18 (2000049) to 2019-02-18 (2019049)
Site IDus_california_sagehen_creek_field_station
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 March 26, 2019. Subset obtained for MOD17A2H product at site id 'us_california_sagehen_creek_field_station'. https://doi.org/10.3334/ORNLDAAC/1567

[2] S. Running, Q. M., M.Zhao. 2015. MOD17A2H MODIS/Terra Gross Primary Productivity 8-Day L4 Global 500m SIN Grid V006. NASA EOSDIS Land Processes DAAC. https://doi.org/10.5067/MODIS/MOD17A2H.006

Location Details

Latitude [39.4315] Longitude [-120.2398]: Horizontal Tile [08] Vertical Tile [05] Sample [855] Line [68]

Subset area boundarySubset area boundary

Corner Coordinates
Northwest Corner Latitude,Longitude: 39.466917 N, 120.34682 WNortheast Corner Latitude,Longitude: 39.466917 N, 120.255066 W
Southwest Corner Latitude,Longitude: 39.396083 N, 120.224534 WSoutheast Corner Latitude,Longitude: 39.396083 N, 120.132873 W

  • QC Filter Conditions
  • QC explanation for MODIS/Terra Gross Primary Productivity (GPP_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
SCF_QC8yes0-20000allPsn_QC_500mVery best possiblePresented
SCF_QC8yes0-200132allPsn_QC_500mGood,very usable, but not the best(saturation in FPAR/LAI has occured)Presented
SCF_QC8yes0-201064allPsn_QC_500mSubstandard due to geometry problems - use with cautionSupressed
SCF_QC8yes0-201196allPsn_QC_500mSubstandard due to other than geometry problems - use with cautionSupressed
SCF_QC8yes0-2100128allPsn_QC_500mCouldn't retrieve pixel (NOT PRODUCED AT ALL - non-terrestrial biome)Supressed
SCF_QC8yes0-2111224allPsn_QC_500mFill ValuePresented

Timeseries View

MOD17A2H / PsnNet_500m (All acceptable pixels)

Toggle Time Series Visualization
Data are being created, check progress bar and log
Includes all pixels that have acceptable quality

MOD17A2H / Gpp_500m (All acceptable pixels)

Toggle Time Series Visualization
Data are being created, check progress bar and log
Includes all pixels that have acceptable quality

Gridded View



Additional Information

MODIS Landcover IGBP Classification Scheme (Type_1 MCD12Q1 2016)

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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 Timeseries

Phenology region for user selected area 8.5 km wide x 8.5 km high (Collection 5 MCD12Q2)

Cycle 1

Cycle 2
  • Increase: Average date of the greenness increase onset in the subset area
  • Maximum: Average date of the maximum greenness onset in the subset area
  • Decrease: Average date of the greenness decrease onset in the subset area
  • Minimum: Average date of the minimum greenness onset in the subset area

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ProductData Bands
MCD12Q2.005 csv json

User Guide for the MODIS Land Cover Dynamics Product (MCD12Q2)PDF. MODIS phenology known issuesPDF

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.