N: 90 S: -90 E: 180 W: -180
Description
The MOD16A2 Version 6.1 Evapotranspiration/Latent Heat Flux product is an 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 Moderate Resolution Imaging Spectroradiometer (MODIS) remotely sensed data products such as vegetation property dynamics, albedo, and land cover.
Provided in the MOD16A2 product are layers for composited Evapotranspiration (ET), Latent Heat Flux (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 MOD16A2 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. Note that 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 (MOD16A2) followed by the Julian Date of Acquisition formatted as AYYYYDDD (A2025201), the Tile Identifier which is horizontal tile and vertical tile provided as hXXvYY (h07v05), the Version of the data collection (061), the Julian Date and Time of Production designated as YYYYDDDHHMMSS (2025217003056), 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 |
|---|---|---|---|
| Spatiotemporal patterns and driving forces of land-use and land-cover change in the Mu Us Sandy Land, China from 1980 to 2018 | Yang, Liangyan, Sun, Zenghui, Li, Jianfeng, Shi, Lei, Kong, Hui, Yang, Yuanyuan, Li, Tong | Evapotranspiration, Latent Heat Flux | |
| Spatial water footprint optimization of crop planting: A fuzzy multiobjective optimal approach based on MOD16 evapotranspiration products | Zhang, Fan, Cai, Yanpeng, Tan, Qian, Wang, Xuan | Evapotranspiration, Latent Heat Flux | |
| The use of remote sensing-based ET estimates to improve global hydrological simulations in the community land model version 5.0 | Wang, Dayang, Wang, Dagang, Mo, Chongxun | Evapotranspiration, Latent Heat Flux | |
| The Water Availability on the Chinese Loess Plateau since the | Qiu, Linjing, Chen, Yuting, Wu, Yiping, Xue, Qingyue, Shi, Zhaoyang, Lei, Xiaohui, Liao, Weihong, Zhao, Fubo, Wang, Wenke | Reflectance, Evapotranspiration, Latent Heat Flux | |
| Wetlands cool land surface temperature in tropical regions but warm in boreal regions | Wu, Yuxuan, Xi, Yi, Feng, Maoyuan, Peng, Shushi | Land Use/Land Cover Classification, Evapotranspiration, Latent Heat Flux, Albedo, Anisotropy, Reflectance | |
| Water conservation estimation based on time series ndvi in the yellow river basin | Zhang, Yangchengsi, Du, Jiaqiang, Guo, Long, Sheng, Zhilu, Wu, Jinhua, Zhang, Jing | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Evapotranspiration, Latent Heat Flux, Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Variations in the aboveground phytomass in northern Eurasia in the 21st century | Tishkov, A. A., Krenke, A. N., Titova, S. V., Belonovskaya, E. A., Tsarevskaya, N. G. | Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover, Land Use/Land Cover Classification, Photosynthesis, Primary Production, Vegetation Productivity, Evapotranspiration, Latent Heat Flux | |
| Toward operational validation systems for global satellite-based terrestrial essential climate variables | Bayat, Bagher, Camacho, Fernando, Nickeson, Jaime, Cosh, Michael, Bolten, John, Vereecken, Harry, Montzka, Carsten | Brightness Temperature, Microwave Imagery, Soil Moisture/Water Content, Vegetation Water Content, Evapotranspiration, Latent Heat Flux, Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Photosynthesis, Primary Production, Emissivity, Land Surface Temperature, Normalized Difference Vegetation Index (NDVI), Albedo, Anisotropy, Reflectance, Sea Surface Temperature | |
| Unique episodic groundwater recharge event in a South American sedimentary aquifer and its longterm impact on baseflow | Dambros Melati, Mauricio, Mainardi Fan, Fernando, Barbosa Athayde, Gustavo, Roehe Reginato, Pedro Antonio, Collischonn, Walter, de Vasconcelos Muller Athayde, Camila | Evapotranspiration, Latent Heat Flux | |
| A first assessment of the 2018 European drought impact on ecosystem evapotranspiration | Ahmed, Kazi Rifat, Paul-Limoges, Eugenie, Rascher, Uwe, Damm, Alexander | Evapotranspiration, Latent Heat Flux | |
| A copula model integrating atmospheric moisture demand and supply for vegetation vulnerability mapping | Won, Jeongeun, Seo, Jiyu, Kim, Sangdan | Emissivity, Land Surface Temperature, Evapotranspiration, Latent Heat Flux, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Crop harvested area, not yield, drives variability in crop production in | Rezaei, Ehsan Eyshi, Ghazaryan, Gohar, Moradi, Rooholla, Dubovyk, Olena, Siebert, Stefan | Land Use/Land Cover Classification, Photosynthesis, Primary Production, Vegetation Productivity, Evapotranspiration, Latent Heat Flux | |
| Cross-scale evaluation of dynamic crop growth in WRF and Noah-MP-Crop | Partridge, Trevor F., Winter, Jonathan M., Kendall, Anthony D., Hyndman, David W. | Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Evapotranspiration, Latent Heat Flux | |
| Cross-scale monitoring of habitat suitability changes using satellite time series and ecological niche models | Arenas-Castro, Salvador, Sillero, Neftali | Reflectance, Photosynthesis, Primary Production, Vegetation Productivity, Land Surface Temperature, Emissivity, Evapotranspiration, Latent Heat Flux, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area | |
| Crowdsourced air temperatures contrast satellite measures of the urban | Venter, Zander S., Chakraborty, Tirthankar, Lee, Xuhui | Land Surface Temperature, Emissivity, Evapotranspiration, Latent Heat Flux, Albedo, Anisotropy | |
| Direct response of tree growth to soil water and its implications for | EckesShephard, Annemarie H., Tiavlovsky, Egor, Chen, Yizhao, Fonti, Patrick, Friend, Andrew D. | Evapotranspiration, Latent Heat Flux | |
| Development of GIS models via optical programming and python scripts to implement four empirical methods of reference and actual evapotranspiration (ETo, ETa) incorporating MODIS LST inputs | Dimitriadou, Stavroula, Nikolakopoulos, Konstantinos G. | Evapotranspiration, Latent Heat Flux | |
| Development of strategy for SWAT hydrologic modeling in data-scarce regions of Peru | Daneshvar, Fariborz, Frankenberger, Jane R., Bowling, Laura C., Cherkauer, Keith A., Moraes, Andre G. de Lima | Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Evapotranspiration, Latent Heat Flux | |
| Drought risk for agricultural systems in South Africa: Drivers, spatial patterns, and implications for drought risk management | Meza, Isabel, Eyshi Rezaei, Ehsan, Siebert, Stefan, Ghazaryan, Gohar, Nouri, Hamideh, Dubovyk, Olena, Gerdener, Helena, Herbert, Claudia, Kusche, Jurgen, Popat, Eklavyya, Rhyner, Jakob, Jordaan, Andries, Walz, Yvonne, Hagenlocher, Michael | Evapotranspiration, Latent Heat Flux | |
| DNN-META deep neural networks method to integrate satellite-derived evapotranspiration products, eddy covariance observations and ancillary information | Shang, Ke, Yao, Yunjun, Liang, Shunlin, Zhang, Yuhu, Fisher, Joshua B., Chen, Jiquan, Liu, Shaomin, Xu, Ziwei, Zhang, Yuan, Jia, Kun, Zhang, Xiaotong, Yang, Junming, Bei, Xiangyi, Guo, Xiaozheng, Yu, Ruiyang, Xie, Zijing, Zhang, Lilin | Evapotranspiration, Latent Heat Flux | |
| Downscaled night air temperatures between 2030 and 2070The case of cities with a complex- and heterogeneous-topography | Abunnasr, Yaser, Mhawej, Mario | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Land Surface Temperature, Emissivity, Evapotranspiration, Latent Heat Flux | |
| Ecological restoration and rising CO2 enhance carbon sink, counteracting climate change in northeastern China | Huang, Binbin, Lu, Fei, Wang, Xiaoke, Wu, Xing, Zhang, Lu, Ouyang, Zhiyun | Land Use/Land Cover Classification, Evapotranspiration, Latent Heat Flux, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Effect of projected climate change on potential evapotranspiration in the semiarid region of central India | Duhan, Darshana, Singh, Dharmendra, Arya, Sandeep | Evapotranspiration, Latent Heat Flux | |
| Ecosystem water use efficiency response to drought over southwest China | Mokhtar, Ali, He, Hongming, Alsafadi, Karam, Mohammed, Safwan, He, Wenming, Li, Yu, Zhao, Hongfei, Abdullahi, Nazir Muhammad, GyasiAgyei, Yeboah | Land Use/Land Cover Classification, Photosynthesis, Primary Production, Vegetation Productivity, Evapotranspiration, Latent Heat Flux | |
| Empirical Fitting of Periodically Repeating Environmental Data | Evapotranspiration, Latent Heat Flux |