Produk Evapotranspirasi Penman-Monteith-Leuning V2 (PML_V2) mencakup evapotranspirasi (ET), tiga komponennya, dan produksi primer bruto (GPP) pada resolusi 500 m dan 8 hari selama tahun 2000-2023 dan dengan rentang spasial dari -60°LS hingga 90°LU. Keunggulan utama produk PML_V2 adalah:
Estimasi gabungan transpirasi dan GPP melalui konduktansi tajuk (Gan et al., 2018; Zhang et al., 2019)
Membagi ET menjadi tiga komponen: transpirasi dari vegetasi, penguapan langsung dari tanah, dan penguapan curah hujan yang tertahan dari vegetasi (Zhang et al., 2016).
Produk PML_V2 berperforma baik terhadap pengamatan di 95 situs fluks di seluruh dunia, dan serupa dengan atau jauh lebih baik daripada produk ET dan GPP canggih utama yang banyak digunakan oleh komunitas riset air dan ekologi (Zhang et al., 2019).
Perubahan utama di v0.1.8 dibandingkan dengan v0.1.4 asli:
Cakupan temporal diperpanjang hingga yang terbaru (dapat diperbarui setiap tahun) dengan data MODIS C6.1.
MODIS Terra LAI (MOD15A2H) digunakan, bukan LAI komposit (MCD15A3H).
Parameter dikalibrasi ulang dengan perubahan LAI, sementara paksaan lainnya tetap sama.
Band
Ukuran Piksel 500 meter
Band
Nama
Unit
Min
Maks
Ukuran Piksel
Deskripsi
GPP
gC m-2 d-1
0*
39.01*
meter
Produksi primer kotor
Ec
mm/d
0*
15,33*
meter
Transpirasi vegetasi
Es
mm/d
0*
8.2*
meter
Penguapan tanah
Ei
mm/d
0*
12.56*
meter
Intersepsi dari kanopi vegetasi
ET_water
mm/d
0*
20.11*
meter
Penguapan dari badan air, salju, dan es. Dihitung menggunakan persamaan Penman, yang dianggap sebagai perkiraan yang baik untuk penguapan aktual pada permukaan ini.
* perkiraan nilai min atau maks
Persyaratan Penggunaan
Persyaratan Penggunaan
Ucapan terima kasih
Setiap kali set data PML digunakan dalam publikasi ilmiah, referensi yang diberikan harus dikutip.
Zhang, Y., Kong, D., Gan, R., Chiew, F.H.S., McVicar, T.R., Zhang, Q.,
dan Yang, Y., 2019. Estimasi gabungan evapotranspirasi dan produksi primer kotor global dengan resolusi 500 m dan 8 hari pada tahun 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. Penggunaan indeks area daun satelit untuk memperkirakan evapotranspirasi dan asimilasi kotor untuk ekosistem Australia.
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. Tren multi-dekade dalam evapotranspirasi terestrial global dan komponennya. Sci. Rep. 6, 19124.
doi:10.1038/srep19124
Produk Penman-Monteith-Leuning Evapotranspiration V2 (PML_V2) mencakup evapotranspirasi (ET), tiga komponennya, dan produksi primer bruto (GPP) pada resolusi 500 m dan 8 hari selama tahun 2000-2023 dan dengan rentang spasial dari -60°LS hingga 90°LU. Keunggulan utama produk PML_V2 adalah: Estimasi gabungan transpirasi dan GPP melalui konduktansi tajuk (Gan et …
[null,null,[],[[["\u003cp\u003eThe PML_V2 dataset provides evapotranspiration (ET), its three components, and gross primary product (GPP) at 500m and 8-day resolution from 2000-2023.\u003c/p\u003e\n"],["\u003cp\u003eIt covers a spatial range from -60°S to 90°N and offers coupled estimates of transpiration and GPP via canopy conductance.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset partitions ET into transpiration, soil evaporation, and interception from vegetation canopy.\u003c/p\u003e\n"],["\u003cp\u003ePML_V2 products have been validated against observations at 95 flux sites globally and show comparable or superior performance to other leading ET and GPP products.\u003c/p\u003e\n"],["\u003cp\u003eThis version (v0.1.8) extends the temporal coverage, uses MODIS Terra LAI, and features recalibrated parameters.\u003c/p\u003e\n"]]],["The PML_V2 dataset provides 8-day resolution evapotranspiration (ET) and gross primary product (GPP) data from 2000 to 2023, covering -60°S to 90°N, at a 500m pixel size. ET is partitioned into vegetation transpiration, soil evaporation, and canopy interception. Key features include coupled transpiration/GPP estimates and updated temporal coverage using MODIS C6.1. Data is accessible via Google Earth Engine using the provided code snippet and licensed under CC-BY 4.0, dataset source is [PML_V2](https://github.com/kongdd/PML).\n"],null,["# PML_V2 0.1.8: Coupled Evapotranspiration and Gross Primary Product (GPP)\n\nDataset Availability\n: 2000-02-26T00:00:00Z--2023-12-27T00:00:00Z\n\nDataset Provider\n:\n\n\n [PML_V2](https://github.com/kongdd/PML)\n\nCadence\n: 8 Days\n\nTags\n:\n[evapotranspiration](/earth-engine/datasets/tags/evapotranspiration) [gpp](/earth-engine/datasets/tags/gpp) [plant-productivity](/earth-engine/datasets/tags/plant-productivity) [water-vapor](/earth-engine/datasets/tags/water-vapor) \n\n#### Description\n\nPenman-Monteith-Leuning Evapotranspiration V2 (PML_V2) products include\nevapotranspiration (ET), its three components, and\ngross primary production (GPP) at 500m and 8-day resolution during 2000-2023\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\nKey changes in v0.1.8 compared with the original v0.1.4:\n\n1. Temporal coverage is lengthened to the latest (may update annually) with the MODIS C6.1 data.\n2. MODIS Terra LAI (MOD15A2H) is used rather than the composite LAI (MCD15A3H).\n3. Parameters are recalibrated with the change in LAI, while other forcings remain the same.\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_v018');\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.first(), visualization, 'PML_V2 0.1.8 Gross Primary Product (GPP)');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/CAS/CAS_IGSNRR_PML_V2_v018) \n[PML_V2 0.1.8: Coupled Evapotranspiration and Gross Primary Product (GPP)](/earth-engine/datasets/catalog/CAS_IGSNRR_PML_V2_v018) \nPenman-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 ... \nCAS/IGSNRR/PML/V2_v018, evapotranspiration,gpp,plant-productivity,water-vapor \n2000-02-26T00:00:00Z/2023-12-27T00:00:00Z \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_v018)"]]
