Leaf Area Index Data Access and Tools
NASA has leaf area index datasets that help researchers characterize vegetation around Earth. Access a range of data and data tools to make the most of leaf area index data. Foe example, AppEEARS offers a simple and effective way to extract, transform, visualize, and download MODIS and VIIRS vegetation-related data products. AppEEARS allows users to subset data by defining specific point(s) or area(s) of interest, and output data can be downloaded in csv (point), GeoTIFF (area) or NetCDF4 (area) format.
Leaf Area Index Datasets
| Dataset Sort descending | Version | Platform | Instrument | Temporal Extent | Spatial Extent | Spatial Resolution | Data Format |
|---|---|---|---|---|---|---|---|
| LBA-ECO LC-19 Soil and Vegetation Data for Cerrado and Forested Sites, Brazil: 2002 | 1 | FIELD INVESTIGATION | THERMOMETERS | 2002-06-10 to 2002-07-30 |
N: -2.857 S: -15.75 E: -47.6 W: -54.959 |
CSV | |
| Leaf Area Index Data (OTTER) | 1 | FIELD INVESTIGATION | CAMERAS | 1991-05-13 to 1991-05-15 |
N: 44.67 S: 44.29 E: -121.33 W: -123.27 |
ASCII | |
| Leaf Area Index Maps at 30-m Resolution, Selected Sites, Canada | 1 | LANDSAT-7, FIELD INVESTIGATION, LANDSAT-5 | ETM+, CAMERA, TM | 2000-01-01 to 2001-12-31 |
N: 63.1444 S: 44.2284 E: -65.0035 W: -135.05 |
GeoTIFF | |
| Leaf Area Index Maps at 30-m Resolution, VALERI Site, Larose, Canada | 1 | FIELD INVESTIGATION, LANDSAT-5, LANDSAT-7, SPOT-4 | CAMERA, TM, ETM+, HRVIR | 2003-05-08 to 2003-08-19 |
N: 45.394 S: 45.3671 E: -75.1979 W: -75.2364 |
multiple | |
| MERRA-2 tavg1_2d_lnd_Nx: 2d,1-Hourly,Time-Averaged,Single-Level,Assimilation,Land Surface Diagnostics 0.625 x 0.5 degree V5.12.4 (M2T1NXLND) at GES DISC | 5.12.4 | MERRA-2 | NOT APPLICABLE | 1980-01-01 to Present |
N: 90 S: -90 E: 180 W: -180 |
0.625 Decimal Degrees x 0.5 Decimal Degrees | |
| MERRA-2 tavgM_2d_lnd_Nx: 2d,Monthly mean,Time-Averaged,Single-Level,Assimilation,Land Surface Diagnostics 0.625 x 0.5 degree V5.12.4 (M2TMNXLND) at GES DISC | 5.12.4 | MERRA-2 | NOT APPLICABLE | 1980-01-01 to Present |
N: 90 S: -90 E: 180 W: -180 |
0.625 Decimal Degrees x 0.5 Decimal Degrees | |
| MERRA-2 tavgU_2d_lnd_Nx: 2d,diurnal,Time-Averaged,Single-Level,Assimilation,Land Surface Diagnostics 0.625 x 0.5 degree V5.12.4 (M2TUNXLND) at GES DISC | 5.12.4 | MERRA-2 | NOT APPLICABLE | 1980-01-01 to Present |
N: 90 S: -90 E: 180 W: -180 |
0.625 Decimal Degrees x 0.5 Decimal Degrees | |
| MISR Level 3 Component Global Land Product covering a day V004 | 004 | Terra | MISR | 1999-12-18 to Present |
N: 90 S: -90 E: 180 W: -180 |
HDF-EOS2 | |
| MISR Level 3 Component Global Land Product covering a month V004 | 004 | Terra | MISR | 1999-12-18 to Present |
N: 90 S: -90 E: 180 W: -180 |
HDF-EOS2 | |
| MISR Level 3 Component Global Land Product covering a quarter (seasonal) V004 | 004 | Terra | MISR | 1999-12-18 to Present |
N: 90 S: -90 E: 180 W: -180 |
HDF-EOS2 | |
| MISR Level 3 Component Global Land product in netCDF format covering a day V004 | 004 | Terra | MISR | 1999-12-18 to Present |
N: 90 S: -90 E: 180 W: -180 |
netCDF-4 | |
| MISR Level 3 Component Global Land product in netCDF format covering a month V004 | 004 | Terra | MISR | 1999-12-18 to Present |
N: 90 S: -90 E: 180 W: -180 |
netCDF-4 | |
| MISR Level 3 Component Global Land product in netCDF format covering a year V004 | 004 | Terra | MISR | 1999-12-01 to Present |
N: 90 S: -90 E: 180 W: -180 |
netCDF-4 | |
| MISR Level 3 Component Global Land Regional public Product covering a month V002 | 002 | Terra | MISR | 2002-03-01 to 2007-09-30 |
N: 90 S: -90 E: 180 W: -180 |
0.5 Decimal Degrees x 0.5 Decimal Degrees | HDF-EOS2 |
| MISR Level 3 FIRSTLOOK Global Land product in netCDF format covering a day V002 | 002 | Terra | MISR | 1999-12-18 to Present |
N: 90 S: -90 E: 180 W: -180 |
netCDF-4 | |
| MISR Level 3 FIRSTLOOK Global Land product in netCDF format covering a month V002 | 002 | Terra | MISR | 1999-12-18 to Present |
N: 90 S: -90 E: 180 W: -180 |
0.5 Decimal Degrees x 0.5 Decimal Degrees | netCDF-4 |
| MODIS/Aqua Leaf Area Index/FPAR 8-Day L4 Global 500m SIN Grid V006 | 006 | Aqua | MODIS | 2002-07-04 to 2023-02-25 |
N: 90 S: -90 E: 180 W: -180 |
500 Meters x 500 Meters | HDF-EOS2 |
| MODIS/Aqua Leaf Area Index/FPAR 8-Day L4 Global 500m SIN Grid V061 | 061 | Aqua | MODIS | 2002-07-04 to Present |
N: 90 S: -90 E: 180 W: -180 |
500 Meters x 500 Meters | HDF-EOS2 |
| MODIS-derived Aggregate, Woody and Herbaceous Leaf Area Index for Africa, 2002-2022 | 1 | Terra, Aqua | MODIS | 2002-07-05 to 2022-07-29 |
N: 20.02 S: -40.02 E: 63.8625 W: -21.2839 |
netCDF-4 | |
| MODIS-derived Vegetation and Albedo Parameters for Agroecosystem-Climate Modeling | 1 | COMPUTERS, Aqua, Terra | Computer, MODIS | 2003-01-01 to 2010-12-31 |
N: 49.1525 S: 15.1525 E: -51.9489 W: -139.051 |
netCDF-4 classic | |
| MODIS/Terra Gap-Filled, Smoothed LAI-FPAR 8-Day L4 Global 1km SIN Grid | 6 | Terra | MODIS | 2001-01-01 to 2017-01-01 |
N: 90 S: -90 E: 180 W: -180 |
500 Meters x 500 Meters | HDF-EOS |
| MODIS/Terra Leaf Area Index/FPAR 8-Day L4 Global 500m SIN Grid V006 | 006 | Terra | MODIS | 2000-02-18 to 2023-02-17 |
N: 90 S: -90 E: 180 W: -180 |
500 Meters x 500 Meters | HDF-EOS2 |
| MODIS/Terra Leaf Area Index/FPAR 8-Day L4 Global 500m SIN Grid V061 | 061 | Terra | MODIS | 2000-02-18 to Present |
N: 90 S: -90 E: 180 W: -180 |
500 Meters x 500 Meters | HDF-EOS2 |
| MODIS/Terra+Aqua Leaf Area Index/FPAR 4-Day L4 Global 500m SIN Grid V006 | 006 | Terra, Aqua | MODIS | 2002-07-04 to 2023-02-17 |
N: 90 S: -90 E: 180 W: -180 |
500 Meters x 500 Meters | HDF-EOS2 |
| MODIS/Terra+Aqua Leaf Area Index/FPAR 4-Day L4 Global 500m SIN Grid V061 | 061 | Terra, Aqua | MODIS | 2002-07-04 to Present |
N: 90 S: -90 E: 180 W: -180 |
500 Meters x 500 Meters | HDF-EOS2 |
Featured Leaf Area Index Observation Method: MODIS
The Moderate Resolution Imaging Spectroradiometer (MODIS) continually collects reflectance and other data across 36 channels with global coverage every one to two days. The broad spectral range enables MODIS data to be used in studies across numerous disciplines, including vegetative health as well as changes in land cover and land use.
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