This data set is only available for a restricted user group, please contact us if you want to access these data.
Coverage, spatial and temporal resolution
Time period and temporal resolution:
Spatial coverage and resolution:
- Global or split into tiles of ~10° latitude and 10+° longitude (see image)
- Spatial resolution: Climate Modeling Grid (CMG): 0.5° x 0.5°; tiles: 1km x 1km, MODIS sinusoidal grid
- Geographic Latitude: CMG: -89.75 to 89.75; tiles: depends on tile
- Geographic Longitude: CMG: -179.75 to 179.75; tiles: depends on tile
- Dimension: CMG: 360 rows x 720 columns; tiles: 1200 rows x 1200 columns per tile
- Altitude: following terrain
The data set contains retrieval uncertainties for both parameters LAI and FAPAR.
The data set contains in addition a number of quality flags.
The most simple one distinguishes between the methods used and allows us to discriminate between areas with very good retrievals, where the main method based on radiative transfer modeling was used and areas with "just" good retrievals, where the main method needed to be replaced by an empirical method because, e.g., a too low solar elevation. This latter issue is the reason why in some maps - depending on geographic latitude and season - LAI and FAPAR retrieval standard deviations are missing.
The other quality flags (3 layers) give information about the land cover other than the biomes used, e.g. whether snow has been detected or whether the area is mainly a built-up one, about the influence of clouds and aerosol (with or without aerosol or clouds, cirrus or no cirrus, cloud shadows, etc.) and for those who prefer really detailed information there is a detailed quality flag - where one can find for instance where a pixel was just assumed to be cloud free.
The references list selected literature dealing with MODIS LAI and FAPAR evaluation - mainly for the collection 5 MODIS LAI & FAPAR data. The paper by Disney et al. (2016) contains a good overview about differences in methodology between different approaches and points to the potential limitations of this data set.
We recommend to also take a look at the comments about data quality for the combined AVHRR-LAI data set.
Climate and Vegetation Research Group
Department of Earth and Environment, Boston University, MA, U.S.A.
email: myneni (at) bu.edu
ICDC / CEN / University of Hamburg
email: stefan.kern (at) uni-hamburg.de
Please cite the data as follows (please choose correction option from ):
Globally gridded MODIS LAI and FPAR data at 0.5 resolution derived at ICDC (http://icdc.cen.uni-hamburg.de) from Myneni, R., Knyazikhin, Y., Park, T. (2015). MOD15A2H MODIS/Terra Leaf Area Index/FPAR 8-Day L4 Global 500m SIN Grid V006. NASA EOSDIS Land Processes DAAC. doi.org/10.5067/MODIS/MOD15A2H.006
The data are distributed by the Land Processes Distributed Active Archive Center (LP DAAC), located at the U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center (lpdaac.usgs.gov), provided in netCDF format [on tiles][on 0.5 degree climate modeling grid] by the Integrated Climate Data Center (ICDC, icdc.cen.uni-hamburg.de) University of Hamburg, Hamburg, Germany.