N: 90 S: -90 E: 180 W: -180
Description
The Terra Moderate Resolution Imaging Spectroradiometer (MODIS) MOD16A2GF Version 6.1 Evapotranspiration/Latent Heat Flux (ET/LE) product is a year-end gap-filled 8-day composite dataset produced at 500 meter (m) pixel resolution. The algorithm used for the MOD16 data product collection is based on the logic of the Penman-Monteith equation, which includes inputs of daily meteorological reanalysis data along with MODIS remotely sensed data products such as vegetation property dynamics, albedo, and land cover.
The MOD16A2GF will be generated at the end of each year when the entire yearly 8-day MOD15A2H is available. Hence, the gap-filled MOD16A2GF is the improved MOD16, which has cleaned the poor-quality inputs from 8-day Leaf Area Index and Fraction of Photosynthetically Active Radiation (LAI/FPAR) based on the Quality Control (QC) label for every pixel. If any LAI/FPAR pixel did not meet the quality screening criteria, its value is determined through linear interpolation. However, users cannot get MOD16A2GF in near-real time because it will be generated only at the end of a given year.
Provided in the MOD16A2GF product are layers for composited ET, LE, Potential ET (PET), and Potential LE (PLE) along with a quality control layer. Two low resolution browse images, ET and LE, are also available for each MOD16A2GF granule.
The pixel values for the two Evapotranspiration layers (ET and PET) are the sum of all eight days within the composite period, and the pixel values for the two Latent Heat layers (LE and PLE) are the average of all eight days within the composite period. The last acquisition period of each year is a 5 or 6-day composite period, depending on the year.
Known Issues
- Operational and uncertainty issues are provided under Section 3 in the User Guide.
- For complete information about known issues please refer to the MODIS/VIIRS Land Quality Assessment website.
Version Description
Product Summary
Citation
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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File Naming Convention
The file name begins with the Product Short Name (MOD16A2GF) followed by the Julian Date of Acquisition formatted as AYYYYDDD (A2024361), the Tile Identifier which is horizontal tile and vertical tile provided as hXXvYY (h01v10), the Version of the data collection (061), the Julian Date and Time of Production designated as YYYYDDDHHMMSS (2025019222926), and the Data Format (hdf).
Documents
USER'S GUIDE
ALGORITHM THEORETICAL BASIS DOCUMENT (ATBD)
PRODUCT QUALITY ASSESSMENT
SCIENCE DATA PRODUCT VALIDATION
Publications Citing This Dataset
| Title | Year Sort ascending | Author | Topic |
|---|---|---|---|
| Streamflow estimation using satellite-retrieved water fluxes and machine learning technique over monsoon-dominated catchments of India | Dayal, Deen, Gupta, Praveen K., Pandey, Ashish | Evapotranspiration, Photosynthesis, Primary Production, Latent Heat Flux, RADAR IMAGERY, Terrain Elevation, Digital Elevation/Terrain Model (DEM) | |
| Simulating future groundwater recharge in coastal and inland catchments | Busico, Gianluigi, Ntona, Maria Margarita, Carvalho, Silvia C. P., Patrikaki, Olga, Voudouris, Konstantinos, Kazakis, Nerantzis | Evapotranspiration, Photosynthesis, Primary Production, Latent Heat Flux | |
| Water footprints of irrigated crop production and meteorological driving factors at multiple temporal scales | Gao, Jie, Xie, Pengxuan, Zhuo, La, Shang, Kehui, Ji, Xiangxiang, Wu, Pute | Evapotranspiration, Photosynthesis, Primary Production, Latent Heat Flux | |
| Quantifying the Impact of Evapotranspiration at the Aquifer Scale via Groundwater Modelling and MODIS Data | Colombani, Nicolo, Gaiolini, Mattia, Busico, Gianluigi, Postacchini, Matteo | Evapotranspiration, Photosynthesis, Primary Production, Latent Heat Flux | |
| Retrieval of daily reference evapotranspiration for croplands in South Korea using machine learning with stellite images and numerical weather prediction data | Kim, Nari, Kim, Kwangjin, Lee, Soobong, Cho, Jaeil, Lee, Yangwon | Total Surface Precipitation Rate, Evapotranspiration, Photosynthesis, Primary Production, Latent Heat Flux, Land Use/Land Cover Classification, Photosynthetically Active Radiation, Leaf Area Index (LAI), Leaf Characteristics, Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Validation of seven global remotely sensed ET products across Thailand using water balance measurements and land use classifications | Sriwongsitanon, Nutchanart, Suwawong, Thienchart, Thianpopirug, Sansarith, Williams, James, Jia, Li, Bastiaanssen, Wim | Evapotranspiration, Photosynthesis, Primary Production, Latent Heat Flux |