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: 2026-08-14

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)

Column description

UID: Unique identifier. Format: LATITUDE_LONGITUDE_SENSOR_PATHROW_DATE

Landsat_ID: Landsat image ID

Date: Landsat image date in "YYYYMMDD"

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: 2026-08-14

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: 2026-08-14