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MODIS/Terra+Aqua Leaf Area Index/FPAR (LAI/FPAR) at Colorado NEON CPER

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BandDescriptionData BandsQuality Filtered and ScaledSummary Data
Fpar_500mFraction of photosynthetically active radiation csv json csv jsoncsv json
Lai_500mLeaf area index csv json csv jsoncsv json
FparExtra_QCExtra detail Quality for LAI and FPAR csv json
FparLai_QCQuality for LAI and FPAR csv json
FparStdDev_500mStandard deviation of FPAR csv json
LaiStdDev_500mStandard deviation for LAI csv json
All Bandscsv jsoncsv jsoncsv json

See File Formats documentation for details. Pixel Numbering Scheme

ProductMODIS/Terra+Aqua Leaf Area Index/FPAR (LAI/FPAR)
CoordinatesLatitude: 40.812444, Longitude: -104.744238 (WGS84 datum)
Areal ExtentApproximately 8.5 km [17 Pixels] Wide x 8.5 km [17 Pixels] High
Subset Date Range2002-07-04 (2002185) to 2018-11-25 (2018329)
Site IDus_colorado_neon_cper
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 14, 2018. Subset obtained for MCD15A2H product at site id 'us_colorado_neon_cper'. https://doi.org/10.3334/ORNLDAAC/1567

[2] R. Myneni, Y. K., T.Park. 2015. MCD15A2H MODIS/Terra+Aqua Leaf Area Index/FPAR 8-day L4 Global 500m SIN Grid V006. NASA EOSDIS Land Processes DAAC. https://doi.org/10.5067/MODIS/MCD15A2H.006

Location Details

Latitude [40.812444] Longitude [-104.744238]: Horizontal Tile [10] Vertical Tile [04] Sample [86] Line [1102]

Subset area boundarySubset area boundary

Corner Coordinates
Northwest Corner Latitude,Longitude: 40.847833 N, 104.846972 WNortheast Corner Latitude,Longitude: 40.847833 N, 104.753332 W
Southwest Corner Latitude,Longitude: 40.777000 N, 104.735098 WSoutheast Corner Latitude,Longitude: 40.777000 N, 104.641558 W

  • QC Filter Conditions
  • QC explanation for MODIS/Terra+Aqua Leaf Area Index/FPAR (LAI/FPAR_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_QC8yes0-20000allFparLai_QCMain (RT) algorithm used, best result possible (no saturation)Presented
SCF_QC8yes0-200132allFparLai_QCMain (RT) algorithm used, saturation occured. Good, very usable.Presented
SCF_QC8yes0-201064allFparLai_QCMain algorithm failed due to bad geometry, empirical algorithm usedSupressed
SCF_QC8yes0-201196allFparLai_QCMain algorithm failed due to problems other than geometry, empirical algorithm usedSupressed
SCF_QC8yes0-2100128allFparLai_QCPixel not produced at all, value coudn't be retrieved (possible reasons: bad L1B data, unusable MODAGAGG data)Supressed

Timeseries View

MCD15A2H / Lai_500m (All acceptable pixels)

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

MCD15A2H / Fpar_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

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.