PML_V2 0.1.4: Coupled Evapotranspiration and Gross Primary Product (GPP) [deprecated]

CAS/IGSNRR/PML/V2
Dataset Availability
2002-07-04T00:00:00Z–2017-12-27T00:00:00Z
Dataset Provider
Earth Engine Snippet
ee.ImageCollection("CAS/IGSNRR/PML/V2")
Tags
evapotranspiration gpp
cas
gross-primary-product
igsnrr
pml

Description

Penman-Monteith-Leuning Evapotranspiration V2 (PML_V2) products include evapotranspiration (ET), its three components, and gross primary product (GPP) at 500m and 8-day resolution during 2002-2017 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 globe, and are similar to or noticeably better than major state-of-the-art ET and GPP products widely used by water and ecology science communities (Zhang et al., 2019).

Bands

Resolution
500 meters

Bands

Name Units Min Max Description
GPP gC m-2 d-1 0* 39.01*

Gross primary product

Ec mm/d 0* 15.33*

Vegetation transpiration

Es mm/d 0* 8.2*

Soil evaporation

Ei mm/d 0* 12.56*

Interception from vegetation canopy

ET_water mm/d 0* 20.11*

Water body, snow and ice evaporation. Penman evapotranspiration is regarded as actual evaporation for them.

* 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.

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

  • 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

  • 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

DOIs

Explore with Earth Engine

Code Editor (JavaScript)

var dataset = ee.ImageCollection('CAS/IGSNRR/PML/V2');

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, visualization, 'PML_V2 0.1.4 Gross Primary Product (GPP)');
Open in Code Editor