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:
coupled estimates of transpiration and GPP via canopy
conductance (Gan et al., 2018; Zhang et al., 2019)
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).
Bands
Pixel Size 500 meters
Bands
Name
Units
Min
Max
Pixel Size
Description
GPP
gC m-2 d-1
0*
39.01*
meters
Gross primary production
Ec
mm/d
0*
15.33*
meters
Vegetation transpiration
Es
mm/d
0*
8.2*
meters
Soil evaporation
Ei
mm/d
0*
12.56*
meters
Interception from vegetation canopy
ET_water
mm/d
0*
20.11*
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.
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
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: coupled estimates of transpiration and GPP via canopy conductance (Gan et …
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],[],[[["\u003cp\u003eThis dataset, PML_V2 0.1.4, has been replaced by a newer version and provides global evapotranspiration (ET) and gross primary production (GPP) data.\u003c/p\u003e\n"],["\u003cp\u003eIt offers 500m resolution and 8-day temporal resolution for the period 2002-2017, covering -60°S to 90°N.\u003c/p\u003e\n"],["\u003cp\u003ePML_V2 products uniquely couple transpiration and GPP estimations and partition ET into transpiration, soil evaporation, and interception.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset has been validated against observations and performs well compared to other widely used ET and GPP products.\u003c/p\u003e\n"],["\u003cp\u003eUsers should cite the provided scientific publications when using this dataset in their research.\u003c/p\u003e\n"]]],["The dataset, Penman-Monteith-Leuning Evapotranspiration V2 (PML_V2), provides 8-day resolution data from 2002-2017, covering -60°S to 90°N. It offers evapotranspiration (ET), its three components (vegetation transpiration, soil evaporation, and interception), and gross primary product (GPP) at a 500m pixel size. This version has coupled estimates of transpiration and GPP. The data is available through Google Earth Engine and has a CC-BY 4.0 license. Be aware that it has been superseded by a newer version.\n"],null,["# PML_V2 0.1.4: Coupled Evapotranspiration and Gross Primary Production (GPP) [deprecated]\n\n**Caution:** This dataset has been superseded by [CAS/IGSNRR/PML/V2_v018](/earth-engine/datasets/catalog/CAS_IGSNRR_PML_V2_v018). \n\nDataset Availability\n: 2002-07-04T00:00:00Z--2017-12-27T00:00:00Z\n\nDataset Provider\n:\n\n\n [PML_V2](https://github.com/kongdd/PML)\n\nCadence\n: 8 Days\n\nTags\n:\n evapotranspiration \n gpp \n plant-productivity \nwater-vapor \n\n#### Description\n\nPenman-Monteith-Leuning Evapotranspiration V2 (PML_V2) products include\nevapotranspiration (ET), its three components, and\ngross primary product (GPP) at 500m and 8-day resolution during 2002-2017\nand with spatial range from -60°S to 90°N. The major advantages of the\nPML_V2 products are:\n\n1. coupled estimates of transpiration and GPP via canopy conductance (Gan et al., 2018; Zhang et al., 2019)\n2. partitioning ET into three components: transpiration from vegetation, direct evaporation from the soil and vaporization of intercepted rainfall from vegetation (Zhang et al., 2016).\n\nThe PML_V2 products perform well against observations\nat 95 flux sites across the globe, and are similar to or noticeably better than\nmajor state-of-the-art ET and GPP products widely used by water and ecology\nresearch communities (Zhang et al., 2019).\n\n### Bands\n\n\n**Pixel Size**\n\n500 meters\n\n**Bands**\n\n| Name | Units | Min | Max | Pixel Size | Description |\n|------------|------------|-----|---------|------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| `GPP` | gC m-2 d-1 | 0\\* | 39.01\\* | meters | Gross primary production |\n| `Ec` | mm/d | 0\\* | 15.33\\* | meters | Vegetation transpiration |\n| `Es` | mm/d | 0\\* | 8.2\\* | meters | Soil evaporation |\n| `Ei` | mm/d | 0\\* | 12.56\\* | meters | Interception from vegetation canopy |\n| `ET_water` | mm/d | 0\\* | 20.11\\* | 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. |\n\n\\* estimated min or max value\n\n### Terms of Use\n\n**Terms of Use**\n\nAcknowledgements\n\nWhenever PML datasets are used in a scientific publication, the given\nreferences should be cited.\n\nLicense\n\nThe dataset is licensed under the\n[CC-BY 4.0 license](https://creativecommons.org/licenses/by/4.0/).\n\n### Citations\n\nCitations:\n\n- Zhang, Y., Kong, D., Gan, R., Chiew, F.H.S., McVicar, T.R., Zhang, Q.,\n and Yang, Y., 2019. Coupled estimation of 500m and 8-day resolution global\n evapotranspiration and gross primary production in 2002-2017.\n Remote Sens. Environ. 222, 165-182,\n [doi:10.1016/j.rse.2018.12.031](https://doi.org/10.1016/j.rse.2018.12.031)\n- Gan, R., Zhang, Y.Q., Shi, H., Yang, Y.T., Eamus, D., Cheng, L.,\n Chiew, F.H.S., Yu, Q., 2018. Use of satellite leaf area index estimating\n evapotranspiration and gross assimilation for Australian ecosystems.\n Ecohydrology, [doi:10.1002/eco.1974](https://doi.org/10.1002/eco.1974)\n- Zhang, Y., Peña-Arancibia, J.L., McVicar, T.R., Chiew, F.H.S., Vaze, J.,\n Liu, C., Lu, X., Zheng, H., Wang, Y., Liu, Y.Y., Miralles, D.G., Pan,\n M., 2016. Multi-decadal trends in global terrestrial evapotranspiration\n and its components. Sci. Rep. 6, 19124.\n [doi:10.1038/srep19124](https://doi.org/10.1038/srep19124)\n\n### DOIs\n\n- \u003chttps://doi.org/10.1002/eco.1974\u003e\n- \u003chttps://doi.org/10.1038/srep19124\u003e\n\n### Explore with Earth Engine\n\n| **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)\n\n### Code Editor (JavaScript)\n\n```javascript\nvar dataset = ee.ImageCollection('CAS/IGSNRR/PML/V2');\n\nvar visualization = {\n bands: ['GPP'],\n min: 0.0,\n max: 9.0,\n palette: [\n 'a50026', 'd73027', 'f46d43', 'fdae61', 'fee08b', 'ffffbf',\n 'd9ef8b', 'a6d96a', '66bd63', '1a9850', '006837',\n ]\n};\n\nMap.setCenter(0.0, 15.0, 2);\n\nMap.addLayer(\n dataset, visualization, 'PML_V2 0.1.4 Gross Primary Product (GPP)');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/CAS/CAS_IGSNRR_PML_V2) \n[PML_V2 0.1.4: Coupled Evapotranspiration and Gross Primary Production (GPP) \\[deprecated\\]](/earth-engine/datasets/catalog/CAS_IGSNRR_PML_V2) \nPenman-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: coupled estimates of transpiration and GPP via canopy conductance (Gan et ... \nCAS/IGSNRR/PML/V2, evapotranspiration,gpp,plant-productivity,water-vapor \n2002-07-04T00:00:00Z/2017-12-27T00:00:00Z \n-60 -180 90 180 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [https://doi.org/10.1038/srep19124](https://doi.org/https://github.com/kongdd/PML)\n- [https://doi.org/10.1038/srep19124](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/CAS_IGSNRR_PML_V2)"]]
