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Description
The MOD15A2H Version 6 data product was decommissioned on July 31, 2023. Users are encouraged to use the MOD15A2H Version 6.1 data product.
The MOD15A2H Version 6 Moderate Resolution Imaging Spectroradiometer (MODIS) combined Leaf Area Index (LAI) and Fraction of Photosynthetically Active Radiation (FPAR) product is an 8-day composite dataset with 500 meter (m) pixel size. The algorithm chooses the “best” pixel available from all the acquisitions of the Terra sensor from within the 8-day period.
LAI is defined as the one-sided green leaf area per unit ground area in broadleaf canopies and as one-half the total needle surface area per unit ground area in coniferous canopies. FPAR is defined as the fraction of incident photosynthetically active radiation, 400-700 nanometers (nm), absorbed by the green elements of a vegetation canopy.
Science Datasets (SDSs) in the Level 4 (L4) MOD15A2H product include LAI, FPAR, two quality layers, and standard deviation for LAI and FPAR. Two low resolution browse images, LAI and FPAR, are also available for each MOD15A2H granule.
The following changes and improvements were implemented for inputs to MODIS Version 6 LAI and FPAR data products: (1) The Version 6 product uses the daily L2G-lite surface reflectance as input as opposed to MODAGAGG used in Version 5, (2) Products are generated at native resolution of 500 m rather than the 1000 m of the Version 5, and (3) Version 6 uses an improved multi-year land cover product.
Land Processes Distributed Active Archive Center (LP DAAC)
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MODIS Adaptive Processing System, Terrestrial Information Systems Laboratory, Earth Sciences Division, Science and Exploration Directorate, Goddard Space Flight Center, NASA (NASA/GSFC/SED/ESD/TISL/MODAPS)
Concept ID
C2763298089-LPCLOUD
Data State
DEPRECATED
Number of Files/Granules
0
Processing Level
4
Published
Updated
Science Keywords
Fraction Of Absorbed Photosynthetically Active Radiation (fapar)
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Citation is critically important for dataset documentation and discovery. This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use and Citation Guidance.
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Citation Copied
Myneni, R., Knyazikhin, Y., & Park, T. (2015). MOD15A2H MODIS/Terra Leaf Area Index/FPAR 8-Day L4 Global 500m SIN Grid V006 [Dataset]. NASA Land Processes Distributed Active Archive Center. https://doi.org/10.5067/MODIS/MOD15A2H.006 Date Accessed: 2026-08-13
Reference Dataset:
All data was accessed through Google Earth Engine
Gorelick, N., Hancher, M., Dixon, M., Ilyushchenko, S., Thau, D., & Moore, R. (2017). Google Earth Engine: Planetary-scale geospatial analysis for everyone. Remote Sensing of Environment.
MODIS Version 6 Leaf Area Index/FPAR 4-day L5 Global 500m
Myneni, R., Y. Knyazikhin, T. Park. MOD15A2H MODIS/Terra Leaf Area Index/FPAR 8-Day L4 Global 500m SIN Grid V006. 2015, distributed by NASA EOSDIS Land Processes DAAC, https://doi.org/10.5067/MODIS/MOD15A2H.006
Landsat 5/7/8 Collection 1 Surface Reflectance
Landsat Level-2 Surface Reflectance Science Product courtesy of the U.S. Geological Survey.
Masek, J.G., Vermote, E.F., Saleous N.E., Wolfe, R., Hall, F.G., Huemmrich, K.F., Gao, F., Kutler, J., and Lim, T-K. (2006). A Landsat surface reflectance dataset for North America, 1990–2000. IEEE Geoscience and Remote Sensing Letters 3(1):68-72. http://dx.doi.org/10.1109/LGRS.2005.857030.
Vermote, E., Justice, C., Claverie, M., & Franch, B. (2016). Preliminary analysis of the performance of the Landsat 8/OLI land surface reflectance product. Remote Sensing of Environment. http://dx.doi.org/10.1016/j.rse.2016.04.008.
National Land Cover Dataset (NLCD)
Yang, Limin, Jin, Suming, Danielson, Patrick, Homer, Collin G., Gass, L., Bender, S.M., Case, Adam, Costello, C., Dewitz, Jon A., Fry, Joyce A., Funk, M., Granneman, Brian J., Liknes, G.C., Rigge, Matthew B., Xian, George, A new generation of the United States National Land Cover Database—Requirements, research priorities, design, and implementation strategies: ISPRS Journal of Photogrammetry and Remote Sensing, v. 146, p. 108–123, at https://doi.org/10.1016/j.isprsjprs.2018.09.006
Resource Software Recommended: Microsoft Excel,url: https://www.microsoft.com/en-us/microsoft-365/excel
Resource Title: LAI_training_samples_CONUS.
File Name: LAI_train_samples_CONUS_v0.1.1.csv
Resource Description: This CSV file consists of the training samples for estimating Leaf Area Index based on Landsat surface reflectance images (Collection 1 Tire 1). Each sample has a MODIS LAI value and corresponding surface reflectance derived from Landsat pixels within the MODIS pixel.
Contact: Yanghui Kang (kangyanghui@gmail.com)
Latitude: Latitude (WGS84) of the MODIS LAI pixel center
Longitude: Longitude (WGS84) of the MODIS LAI pixel center
MODIS_LAI: MODIS LAI value in "m2/m2"
MODIS_LAI_std: MODIS LAI standard deviation in "m2/m2"
MODIS_LAI_sat: 0 - MODIS Main (RT) method used no saturation; 1 - MODIS Main (RT) method with saturation
NLCD_class: Majority class code from the National Land Cover Dataset (NLCD)
NLCD_frequency: Percentage of the area cover by the majority class from NLCD
Biome: Biome type code mapped from NLCD (see below for more information)
Blue: Landsat surface reflectance in the blue band
Green: Landsat surface reflectance in the green band
Red: Landsat surface reflectance in the red band
Nir: Landsat surface reflectance in the near infrared band
Swir1: Landsat surface reflectance in the shortwave infrared 1 band
Swir2: Landsat surface reflectance in the shortwave infrared 2 band
Sun_zenith: Solar zenith angle from the Landsat image metadata. This is a scene-level value.
Sun_azimuth: Solar azimuth angle from the Landsat image metadata. This is a scene-level value.
NDVI: Normalized Difference Vegetation Index computed from Landsat surface reflectance
EVI: Enhanced Vegetation Index computed from Landsat surface reflectance
NDWI: Normalized Difference Water Index computed from Landsat surface reflectance
GCI: Green Chlorophyll Index = Nir/Green - 1
1 - Deciduous Forest
2 - Evergreen Forest
3 - Mixed Forest
4 - Shrubland
5 - Grassland/Pasture
6 - Cropland
7 - Woody Wetland
8 - Herbaceous Wetland
Reference Dataset:
All data was accessed through Google Earth Engine
Gorelick, N., Hancher, M., Dixon, M., Ilyushchenko, S., Thau, D., & Moore, R. (2017). Google Earth Engine: Planetary-scale geospatial analysis for everyone. Remote Sensing of Environment.
MODIS Version 6 Leaf Area Index/FPAR 4-day L5 Global 500m
Myneni, R., Y. Knyazikhin, T. Park. MOD15A2H MODIS/Terra Leaf Area Index/FPAR 8-Day L4 Global 500m SIN Grid V006. 2015, distributed by NASA EOSDIS Land Processes DAAC, https://doi.org/10.5067/MODIS/MOD15A2H.006
Landsat 5/7/8 Collection 1 Surface Reflectance
Landsat Level-2 Surface Reflectance Science Product courtesy of the U.S. Geological Survey.
Masek, J.G., Vermote, E.F., Saleous N.E., Wolfe, R., Hall, F.G., Huemmrich, K.F., Gao, F., Kutler, J., and Lim, T-K. (2006). A Landsat surface reflectance dataset for North America, 1990–2000. IEEE Geoscience and Remote Sensing Letters 3(1):68-72. http://dx.doi.org/10.1109/LGRS.2005.857030.
Vermote, E., Justice, C., Claverie, M., & Franch, B. (2016). Preliminary analysis of the performance of the Landsat 8/OLI land surface reflectance product. Remote Sensing of Environment. http://dx.doi.org/10.1016/j.rse.2016.04.008.
National Land Cover Dataset (NLCD)
Yang, Limin, Jin, Suming, Danielson, Patrick, Homer, Collin G., Gass, L., Bender, S.M., Case, Adam, Costello, C., Dewitz, Jon A., Fry, Joyce A., Funk, M., Granneman, Brian J., Liknes, G.C., Rigge, Matthew B., Xian, George, A new generation of the United States National Land Cover Database—Requirements, research priorities, design, and implementation strategies: ISPRS Journal of Photogrammetry and Remote Sensing, v. 146, p. 108–123, at https://doi.org/10.1016/j.isprsjprs.2018.09.006
Resource Software Recommended: Microsoft Excel,url: https://www.microsoft.com/en-us/microsoft-365/excel}, publisher={ICPSR - Interuniversity Consortium for Political and Social Research}, author={US Department of Agriculture and National Agricultural Library}, year={2026}, language={en} }
Myneni, R., Knyazikhin, Y., & Park, T. (2015). MOD15A2H MODIS/Terra Leaf Area Index/FPAR 8-Day L4 Global 500m SIN Grid V006 [Dataset]. NASA Land Processes Distributed Active Archive Center. https://doi.org/10.5067/MODIS/MOD15A2H.006 Date Accessed: 2026-08-13
Myneni, Ranga, et al. “MOD15A2H MODIS/Terra Leaf Area Index/FPAR 8-Day L4 Global 500m SIN Grid V006.” NASA Land Processes Distributed Active Archive Center, 2015, https://doi.org/10.5067/MODIS/MOD15A2H.006. Date Accessed: 2026-08-13
File Naming Convention
MOD15A2H.A2002273.h20v06.006.2015151112325.hdf
The file name begins with the Product Short Name (MOD15A2H) followed by the Julian Date of Acquisition formatted as AYYYYDDD (A2002273), the Tile Identifier which is horizontal tile and vertical tile provided as hXXvYY (h20v06), the Version of the data collection (006), the Julian Date and Time of Production designated as YYYYDDDHHMMSS (2015151112325), and the Data Format (hdf).
Zhou, T., College of Earth Science, Chengdu University of Technology, Chengdu 610059, China, Lai, Y. S., Yang, Z. H., Shi, Y. H., Luo, X. R., Liu, L., Yu, P., Chen, G., Cao, L. X., Fan, S. H., Cai, C. J., Sun, J., Chen, S. H., Lu, H. Y., Ma, X. L., Li, S. D., Tang, X. L.
Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Carbon, Cation Exchange Capacity, Organic Matter
Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Surface Soil Moisture
Levine, Paul A., Bloom, A. Anthony, Bowman, Kevin W., Reager, John T., Worden, John R., Liu, Junjie, Parazoo, Nicholas C., Meyer, Victoria, Konings, Alexandra G., Longo, Marcos
Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Carbonaceous Aerosols, Nitrogen Oxides, Particulates, Hydrogen Cyanide, Emissions, Non-methane Hydrocarbons/Volatile Organic Compounds, Particulate Matter, Fire Occurrence, Nitrogen Oxides, Sulfur Dioxide, Carbon And Hydrocarbon Compounds