Penman-Monteith-Leuning Evapotranspiration V2 (PML_V2) ürünleri, 2000-2023 yılları arasında 500 m ve 8 günlük çözünürlükte buharlaşma (ET), üç bileşeni ve brüt birincil üretimi (GPP) içerir ve -60°G ile 90°K arasında bir coğrafi aralığa sahiptir. PML_V2 ürünlerinin başlıca avantajları şunlardır:
Yaprak iletkenliği (Gan ve ark., 2018; Zhang et al., 2019)
ET'yi üç bileşene ayırma: bitkilerden terleme, doğrudan topraktan buharlaşma ve bitkiler tarafından tutulan yağmur suyunun buharlaşması (Zhang ve diğerleri, 2016).
PML_V2 ürünleri, dünya genelindeki 95 akı sitesinde yapılan gözlemlere kıyasla iyi performans gösteriyor ve su ile ekoloji araştırma toplulukları tarafından yaygın olarak kullanılan, son teknoloji ürünü büyük ET ve GPP ürünlerine benzer veya bu ürünlerden belirgin şekilde daha iyi sonuçlar veriyor (Zhang ve diğerleri, 2019).
v0.1.8 sürümünde orijinal v0.1.4 sürümüne kıyasla yapılan temel değişiklikler:
MODIS C6.1 verileriyle zamansal kapsam en son tarihe kadar uzatılır (yılda bir güncellenebilir).
Birleşik LAI (MCD15A3H) yerine MODIS Terra LAI (MOD15A2H) kullanılır.
Parametreler, LAI'deki değişiklikle yeniden kalibre edilirken diğer zorlamalar aynı kalır.
Bantlar
Piksel Boyutu 500 metre
Bantlar
Ad
Birimler
Min.
Maks.
Piksel Boyutu
Açıklama
GPP
gC m-2 d-1
0*
39,01*
metre
Brüt birincil üretim
Ec
mm/d
0*
15,33*
metre
Bitki örtüsü terlemesi
Es
mm/d
0*
8.2*
metre
Toprak buharlaşması
Ei
mm/d
0*
12,56*
metre
Bitki örtüsünden gelen kesintiler
ET_water
mm/d
0*
20.11*
metre
Su kütleleri, kar ve buzdan buharlaşma. Bu yüzeylerdeki gerçek buharlaşmanın iyi bir tahmini olarak kabul edilen Penman denklemi kullanılarak hesaplanır.
* tahmini minimum veya maksimum değer
Kullanım Şartları
Kullanım Şartları
Teşekkür
PML veri kümeleri bilimsel bir yayında kullanıldığında, verilen referanslar alıntılanmalıdır.
Zhang, Y., Kong, D., Gan, R., Chiew, F.H.S., McVicar, T.R., Zhang, Q.,
and Yang, Y., 2019. 2002-2017'de 500 m ve 8 günlük çözünürlükte küresel evapotranspirasyon ve brüt birincil üretimin birlikte tahmini.
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. Uydu yaprak alanı indeksi kullanarak Avustralya ekosistemlerinde buharlaşma ve brüt asimilasyon tahmin etme
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. Küresel karasal buharlaşma ve bileşenlerindeki on yıllar süren trendler. Sci. Rep. 6, 19124.
doi:10.1038/srep19124
Penman-Monteith-Leuning Evapotranspiration V2 (PML_V2) ürünleri, 2000-2023 yılları arasında 500 m ve 8 günlük çözünürlükte buharlaşma (ET), üç bileşeni ve brüt birincil üretimi (GPP) içerir ve -60°G ile 90°K arasında bir coğrafi aralığa sahiptir. PML_V2 ürünlerinin başlıca avantajları şunlardır: Yaprak iletkenliği aracılığıyla terleme ve GPP'nin birlikte tahmin edilmesi (Gan ve diğerleri, 2019)
[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)"]]
