> [!CAUTION]
> **Caution:** This dataset has been superseded by [projects/pml_evapotranspiration/PML/OUTPUT/PML_V22a](https://developers.google.com/earth-engine/datasets/catalog/projects_pml_evapotranspiration_PML_OUTPUT_PML_V22a).

![CAS/IGSNRR/PML/V2_v018](https://developers.google.com/earth-engine/datasets/images/CAS/CAS_IGSNRR_PML_V2_v018_sample.png)

Dataset Availability
:   2000-02-26T00:00:00Z--2023-12-27T00:00:00Z

Dataset Producer
:


    [PML_V2](https://github.com/kongdd/PML)

Cadence
:   8 Days

Tags
:
    evapotranspiration gpp plant-productivity water-vapor

#### Description

Penman-Monteith-Leuning Evapotranspiration V2 (PML_V2) products include
evapotranspiration (ET), its three components, and
gross primary production (GPP) at 500m and 8-day resolution during 2000-2023
and with spatial range from -60°S to 90°N. The major advantages of the
PML_V2 products are:

1. Coupled estimates of transpiration and GPP via canopy conductance (Gan et al., 2018; Zhang et al., 2019)
2. Partitioning ET into three components: transpiration from vegetation, direct evaporation from the soil, and vaporization of intercepted rainfall from vegetation (Zhang et al., 2016).

The PML_V2 products perform well against observations
at 95 flux sites across the globe, and are similar to or noticeably better than
major state-of-the-art ET and GPP products widely used by water and ecology
research communities (Zhang et al., 2019).

Note on versioning: For consistency in naming conventions, PML-V2.1.8 replaces the previous PML-V2 0.1.8.

Key changes in V2.1.8 compared with the original V2.0 (Zhang et al., 2019):
1. Temporal coverage is lengthened to the latest (may update annually) with the MODIS C6.1 data.
2. MODIS Terra LAI (MOD15A2H) is used rather than the composite LAI (MCD15A3H).
3. Parameters are recalibrated with the change in LAI, while other forcings remain the same.

### Bands

**Bands**

Pixel size: 500 meters (all bands)

| Name | Units | Min | Max | Pixel Size | Description |
|---|---|---|---|---|---|
| `GPP` | gC m-2 d-1 | 0\* | 39.01\* | 500 meters | Gross primary production |
| `Ec` | mm/d | 0\* | 15.33\* | 500 meters | Vegetation transpiration |
| `Es` | mm/d | 0\* | 8.2\* | 500 meters | Soil evaporation |
| `Ei` | mm/d | 0\* | 12.56\* | 500 meters | Interception from vegetation canopy |
| `ET_water` | mm/d | 0\* | 20.11\* | 500 meters | Evaporation from water bodies, snow, and ice. Calculated using the Penman equation, which is considered a good estimate of actual evaporation for these surfaces. |

\* estimated min or max value

### Terms of Use

**Terms of Use**

Acknowledgements

Whenever PML datasets are used in a scientific publication, the given
references should be cited.

License

The dataset is licensed under the
[CC-BY 4.0 license](https://creativecommons.org/licenses/by/4.0/).

### Citations

Citations:

- Zhang, Y., Kong, D., Gan, R., Chiew, F.H.S., McVicar, T.R., Zhang, Q.,
  and Yang, Y., 2019. Coupled estimation of 500m and 8-day resolution global
  evapotranspiration and gross primary production in 2002-2017.
  Remote Sens. Environ. 222, 165-182,
  [doi:10.1016/j.rse.2018.12.031](https://doi.org/10.1016/j.rse.2018.12.031)
- Gan, R., Zhang, Y.Q., Shi, H., Yang, Y.T., Eamus, D., Cheng, L.,
  Chiew, F.H.S., Yu, Q., 2018. Use of satellite leaf area index estimating
  evapotranspiration and gross assimilation for Australian ecosystems.
  Ecohydrology, [doi:10.1002/eco.1974](https://doi.org/10.1002/eco.1974)
- Zhang, Y., Peña-Arancibia, J.L., McVicar, T.R., Chiew, F.H.S., Vaze, J.,
  Liu, C., Lu, X., Zheng, H., Wang, Y., Liu, Y.Y., Miralles, D.G., Pan,
  M., 2016. Multi-decadal trends in global terrestrial evapotranspiration
  and its components. Sci. Rep. 6, 19124.
  [doi:10.1038/srep19124](https://doi.org/10.1038/srep19124)

### DOIs

- <https://doi.org/10.1002/eco.1974>
- <https://doi.org/10.1038/srep19124>

### Explore with Earth Engine

> [!NOTE]
> **Important:** Earth Engine is a platform for petabyte-scale scientific analysis and visualization of geospatial datasets, both for public benefit and for business and government users. Earth Engine is free to use for research, education, and nonprofit use. To get started, please [register for Earth Engine access.](https://console.cloud.google.com/earth-engine)

### Code Editor (JavaScript)

```javascript
var dataset = ee.ImageCollection('CAS/IGSNRR/PML/V2_v018');

var visualization = {
  bands: ['GPP'],
  min: 0.0,
  max: 9.0,
  palette: [
    'a50026', 'd73027', 'f46d43', 'fdae61', 'fee08b', 'ffffbf',
    'd9ef8b', 'a6d96a', '66bd63', '1a9850', '006837',
  ]
};

Map.setCenter(0.0, 15.0, 2);

Map.addLayer(
    dataset.first(), visualization, 'PML_V2 0.1.8 Gross Primary Product (GPP)');
```
[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/CAS/CAS_IGSNRR_PML_V2_v018) [PML_V2.1.8: Coupled Evapotranspiration and Gross Primary Product (GPP) \[deprecated\]](https://developers.google.com/earth-engine/datasets/catalog/CAS_IGSNRR_PML_V2_v018) Penman-Monteith-Leuning Evapotranspiration V2 (PML_V2) products include evapotranspiration (ET), its three components, and gross primary production (GPP) at 500m and 8-day resolution during 2000-2023 and with spatial range from -60°S to 90°N. The major advantages of the PML_V2 products are: Coupled estimates of transpiration and GPP via canopy conductance (Gan et ... CAS/IGSNRR/PML/V2_v018, evapotranspiration,gpp,plant-productivity,water-vapor 2000-02-26T00:00:00Z/2023-12-27T00:00:00Z -60 -180 90 180 Google Earth Engine https://developers.google.com/earth-engine/datasets

- [https://doi.org/10.1038/srep19124](https://doi.org/https://github.com/kongdd/PML)
- [https://doi.org/10.1038/srep19124](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/CAS_IGSNRR_PML_V2_v018)