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 Data Access and Tools
Leaf Area Index Datasets
| Dataset | Version | Platform | Instrument | Temporal Extent | Spatial Extent | Spatial Resolution | Data Format |
|---|---|---|---|---|---|---|---|
| MODIS/Terra Gap-Filled, Smoothed LAI-FPAR 8-Day L4 Global 1km SIN Grid | 6 | Terra | MODIS | 2001-01-01 to 2020-12-27 |
N: 90 S: -90 E: 180 W: -180 |
1 Kilometers x 1 Kilometers | HDF-EOS |
| 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) | 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) | 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) | 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 | |
| North American Land Carbon Reanalysis, 2012-2024 | 1 | COMPUTERS | Computer | 2012-07-15 to 2024-07-15 |
N: 85 S: 7 E: -20 W: -179 |
COG | |
| CARDAMOM Carbon-Water-Energy Reanalysis v1100.1, 2001-2021 | 1 | GOSAT, OCO-2, MODELS, Terra, Aqua | TANSO-FTS-2, OCO SPECTROMETERS, Computer, MODIS | 2001-01-01 to 2021-12-31 |
N: 82 S: -54 E: 180 W: -180 |
multiple | |
| Vegetation Biophysical Data (FIFE) | 1 | FIELD INVESTIGATION, LABORATORY | LICOR LEAF AREA METER, INCLINOMETERS, BALANCE | 1987-05-26 to 1989-08-18 |
N: 39.12 S: 38.98 E: -96.45 W: -96.61 |
multiple | |
| LAI (Indirect): Light Wand - KSU (FIFE) | 1 | FIELD INVESTIGATION | LICOR PLANT CANOPY ANALYZER | 1988-06-29 to 1989-10-31 |
N: 39.1 S: 38.98 E: -96.45 W: -96.61 |
multiple | |
| LAI & PAR Data: Light Bar - KSU (FIFE) | 1 | FIELD INVESTIGATION | LICOR QUANTUM SENSOR | 1989-07-03 to 1989-10-31 |
N: 39.1 S: 38.98 E: -96.45 W: -96.61 |
multiple | |
| SiB4 Modeled Global 0.5-Degree Daily Carbon Fluxes and Pools, 2000-2018 | 1 | MODELS | Computer | 2000-01-01 to 2018-12-31 |
N: 90 S: -90 E: 180 W: -180 |
netCDF-4 classic | |
| BOREAS Follow-On DSP-10 Regridded FPAR and LAI Maps for 1994 | 1 | NOAA-11 | AVHRR | 1994-05-21 to 1994-09-11 |
N: 60 S: 48 E: -90 W: -111 |
BMP | |
| BOREAS Follow-On DSP-06 CASI LAI and Canopy Closure of Conifer Flux Tower Sites | 1 | PIPER NAVAJO CHIEFTAIN | CASI | 1994-02-07 to 1994-02-11 |
N: 60 S: 48 E: -90 W: -111 |
BMP | |
| 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 | |
| SNF Forest Phenology/Leaf Expansion Data | 1 | FIELD INVESTIGATION | VISUAL OBSERVATIONS | 1984-05-10 to 1984-06-12 |
N: 48.1697 S: 47.6575 E: -91.7658 W: -92.5058 |
ASCII | |
| BOREAS TF-11 SSA-Fen 1995 Leaf Area Index Data | 1 | FIELD INVESTIGATION | LICOR LEAF AREA METER | 1995-05-20 to 1995-09-29 |
N: 53.8 S: 53.8 E: -104.62 W: -104.62 |
ASCII | |
| BOREAS RSS-07 LAI, Gap Fraction, and FPAR Data | 1 | FIELD INVESTIGATION | LICOR QUANTUM SENSOR, LICOR PLANT CANOPY ANALYZER | 1993-08-09 to 1994-09-17 |
N: 55.94 S: 53.63 E: -98.19 W: -106.2 |
ASCII | |
| BOREAS RSS-04 1994 Southern Study Area Jack Pine LAI & FPAR Data | 1 | FIELD INVESTIGATION | LICOR LEAF AREA METER, LICOR QUANTUM SENSOR | 1993-08-14 to 1994-08-05 |
N: 53.99 S: 53.65 E: -104.64 W: -105.32 |
ASCII | |
| Global Leaf Area Index from Field Measurements, 1932-2000 | 1 | FIELD INVESTIGATION | LICOR LEAF AREA METER | 1932-01-01 to 2000-12-31 |
N: 71.3 S: -54.5 E: 172.75 W: -156.67 |
Text File | |
| 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 | |
| SAFARI 2000 Leaf Area Measurements at the Mongu Tower Site, Zambia, 2000-2002 | 1 | FIELD INVESTIGATION | LICOR PLANT CANOPY ANALYZER, LICOR LEAF AREA METER | 2000-10-09 to 2002-04-13 |
N: -14.9342 S: -16.8667 E: 24.2773 W: 22.0276 |
CSV | |
| SAFARI 2000 LAI and FPAR Measurements at Sua Pan, Botswana, Dry Season 2000 | 1 | FIELD INVESTIGATION | SUNFLECK CEPTOMETER, LICOR LEAF AREA METER | 2000-08-20 to 2000-08-28 |
N: -20.5168 S: -20.5259 E: 26.0394 W: 26.0297 |
CSV | |
| SAFARI 2000 Leaf Spectral Measurements, Kalahari Transect, Wet Season 2000 | 1 | FIELD INVESTIGATION | SPECTRORADIOMETERS | 2000-03-03 to 2000-03-18 |
N: -15.4378 S: -24.127 E: 25.494 W: 21.709 |
Shapefile | |
| SAFARI 2000 Leaf Measurements of Dominant Trees, Kalahari Sites, Wet Season 2000 | 1 | NOT APPLICABLE | NOT APPLICABLE | 2000-02-28 to 2000-03-18 |
N: -18.657 S: -24.164 E: 25.5 W: 21.713 |
CSV | |
| SAFARI 2000 Leaf Area Index and Canopy Structure, Kalahari Transect, 1999-2000 | 1 | FIELD INVESTIGATION | PYRANOMETERS | 1999-08-10 to 2000-12-19 |
N: -15.4378 S: -24.1475 E: 25.5003 W: 21.6964 |
Shapefile | |
| SAFARI 2000 LAI Measurements at Kalahari Transect Sites, Wet Season 2000 | 1 | FIELD INVESTIGATION | LICOR PLANT CANOPY ANALYZER | 2000-03-04 to 2000-03-16 |
N: -18.66 S: -24.127 E: 25.494 W: 21.709 |
CSV |
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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