Atmosfer-Arazi Değişimi Tersine Çevirme / Atmosfer-Arazi Değişimi Tersine Çevirme'nin Ayrıştırılması (ALEXI/DisALEXI)
DisALEXI, kısa süre önce OpenET çerçevesi kapsamında Google Earth Engine'e taşındı ve temel ALEXI/DisALEXI model yapısı Anderson ve diğerleri (2012, 2018) tarafından açıklandı. ALEXI evapotranspirasyon (ET) modeli, bölgesel ET haritaları oluşturmak için özellikle jeostatik veya orta çözünürlüklü kutup yörüngeli platformlardan alınan zamana bağlı arazi yüzeyi sıcaklığı (LST) ölçümlerini kullanır. DisALEXI daha sonra bölgesel ALEXI ET'yi Landsat verilerini (30 m; iki haftada bir) kullanarak daha ayrıntılı ölçeklere ayırır. Böylece, tek tek çiftlik tarlaları ve diğer manzara özellikleri çözümlenir.
Ek bilgiler
Bantlar
Piksel Boyutu 30 metre
Bantlar
Ad
Birimler
Piksel Boyutu
Açıklama
et
mm
metre
DisALEXI ET değeri
count
sayı
metre
Bulutsuz ücretsiz değerlerin sayısı
Resim Özellikleri
Resim Özellikleri
Ad
Tür
Açıklama
build_date
Dize
Öğelerin oluşturulduğu tarih
cloud_cover_max
ÇİFT
Enterpolasyona dahil edilen Landsat görüntüleri için maksimum CLOUD_COVER_LAND yüzde değeri
koleksiyonlar
Dize
Enterpolasyona dahil edilen Landsat görüntüleri için Landsat koleksiyonlarının listesi
core_version
Dize
OpenET çekirdek kitaplık sürümü
end_date
Dize
Ayın bitiş tarihi
et_reference_band
Dize
Günlük referans ET verilerini içeren et_reference_source bandı
et_reference_resample
Dize
Günlük referans ET verilerini yeniden örneklemek için kullanılan mekansal enterpolasyon modu
et_reference_source
Dize
Günlük referans ET verileri için koleksiyon kimliği
interp_days
ÇİFT
Enterpolasyona dahil edilecek her resim tarihinden önceki ve sonraki maksimum gün sayısı
interp_method
Dize
Landsat model tahminleri arasında enterpolasyon yapmak için kullanılan yöntem
interp_source_count
ÇİFT
Hedef ay için enterpolasyon kaynağı resim koleksiyonunda bulunan resim sayısı
mgrs_tile
Dize
MGRS ızgara bölgesi kimliği
model_name
Dize
OpenET model adı
model_version
Dize
OpenET model sürümü
scale_factor_count
ÇİFT
Sayım aralığına uygulanması gereken ölçeklendirme faktörü
scale_factor_et
ÇİFT
ET bandına uygulanması gereken ölçeklendirme faktörü
Anderson, M., Gao, F., Knipper, K., Hain, C., Dulaney, W., Baldocchi, D .,
Eichelmann, E., Hemes, K., Yang, Y., Medellin-Azuara, J. ve Kustas, W.,
2018. Uzaktan algılama kullanarak California Delta'daki arazi ve su kullanımındaki değişikliklerin saha ölçeğinde değerlendirilmesi. Remote Sensing, 10(6), s.889.
doi:10.3390/rs10060889
Anderson, M.C., Norman, J.M., Mecikalski, J.R., Otkin, J.A. ve Kustas,
W.P., 2007. Termal uzaktan algılamaya dayalı olarak ABD anakarasındaki buharlaşma ve nem stresiyle ilgili klimatolojik bir çalışma: 1. Model oluşturma. Journal of Geophysical Research:
Atmospheres, 112(D10).
doi:10.1029/2006JD007506
Atmosfer-Kara Değişimi Ters / Atmosfer-Kara Değişimi Ters'in Ayrıştırılması (ALEXI/DisALEXI) DisALEXI, OpenET çerçevesinin bir parçası olarak kısa süre önce Google Earth Engine'e taşındı ve temel ALEXI/DisALEXI model yapısı Anderson ve diğerleri (2012, 2018) tarafından açıklandı. ALEXI evapotranspirasyon (ET) modeli, özellikle zaman farklılıklarına dayalı arazi yüzeyi …
[null,null,[],[[["\u003cp\u003eThe OpenET DisALEXI dataset provides monthly evapotranspiration (ET) data for the contiguous United States (CONUS) at a 30-meter resolution, derived from Landsat and GRIDMET data.\u003c/p\u003e\n"],["\u003cp\u003eDisALEXI, part of the OpenET framework, uses a model based on land surface temperature changes to estimate ET and is further disaggregated using Landsat for finer-scale detail.\u003c/p\u003e\n"],["\u003cp\u003eData is available from January 2008 to December 2023 and is provided by OpenET, Inc.under a CC-BY-4.0 license.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset includes two bands: 'et' representing the DisALEXI ET value in millimeters and 'count' indicating the number of cloud-free values used in the calculation.\u003c/p\u003e\n"],["\u003cp\u003eUsers can explore and analyze this dataset within Google Earth Engine for research, education, and non-profit purposes.\u003c/p\u003e\n"]]],["The OpenET DisALEXI dataset, available from 2001-01-01 to 2023-12-01, provides monthly evapotranspiration (ET) data at a 30-meter resolution. It uses the ALEXI/DisALEXI model, which combines land surface temperature data with Landsat data to estimate ET, including a band with the 'et' value and a 'count' of cloud-free observations. The data can be accessed via Earth Engine using a provided code snippet and is licenced with a CC-BY-4.0 use license.\n"],null,["# OpenET DisALEXI Monthly Evapotranspiration v2.0\n\nDataset Availability\n: 2001-01-01T00:00:00Z--2024-12-01T00:00:00Z\n\nDataset Provider\n:\n\n\n [OpenET, Inc.](https://openetdata.org/)\n\nCadence\n: 1 Month\n\nTags\n:\n[evapotranspiration](/earth-engine/datasets/tags/evapotranspiration) [gridmet-derived](/earth-engine/datasets/tags/gridmet-derived) [landsat-derived](/earth-engine/datasets/tags/landsat-derived) [monthly](/earth-engine/datasets/tags/monthly) [openet](/earth-engine/datasets/tags/openet) [water](/earth-engine/datasets/tags/water) [water-vapor](/earth-engine/datasets/tags/water-vapor) \n\n#### Description\n\nAtmosphere-Land Exchange Inverse / Disaggregation of the Atmosphere-Land\nExchange Inverse (ALEXI/DisALEXI)\n\nDisALEXI was recently ported to Google Earth Engine as part of the OpenET\nframework and the baseline ALEXI/DisALEXI model structure is described by\nAnderson et al. (2012, 2018). The ALEXI evapotranspiration (ET) model\nspecifically uses time differential land surface temperature (LST)\nmeasurements from geostationary or moderate resolution polar orbiting\nplatforms to generate regional ET maps. DisALEXI then disaggregates the\nregional ALEXI ET to finer scales using Landsat data (30 m; biweekly) to\nresolve individual farm fields and other landscape features.\n[Additional information](https://openetdata.org/methodologies/)\n\n### Bands\n\n\n**Pixel Size**\n\n30 meters\n\n**Bands**\n\n| Name | Units | Pixel Size | Description |\n|---------|-------|------------|-----------------------------|\n| `et` | mm | meters | DisALEXI ET value |\n| `count` | count | meters | Number of cloud free values |\n\n### Image Properties\n\n**Image Properties**\n\n| Name | Type | Description |\n|-----------------------|--------|----------------------------------------------------------------------------------------------|\n| build_date | STRING | Date assets were built |\n| cloud_cover_max | DOUBLE | Maximum CLOUD_COVER_LAND percent value for Landsat images included in interpolation |\n| collections | STRING | List of Landsat collections for Landsat images included in the interpolation |\n| core_version | STRING | OpenET core library version |\n| end_date | STRING | End date of month |\n| et_reference_band | STRING | Band in et_reference_source that contains the daily reference ET data |\n| et_reference_resample | STRING | Spatial interpolation mode to resample daily reference ET data |\n| et_reference_source | STRING | Collection ID for the daily reference ET data |\n| interp_days | DOUBLE | Maximum number of days before and after each image date to include in interpolation |\n| interp_method | STRING | Method used to interpolate between Landsat model estimates |\n| interp_source_count | DOUBLE | Number of available images in the interpolation source image collection for the target month |\n| mgrs_tile | STRING | MGRS grid zone ID |\n| model_name | STRING | OpenET model name |\n| model_version | STRING | OpenET model version |\n| scale_factor_count | DOUBLE | Scaling factor that should be applied to the count band |\n| scale_factor_et | DOUBLE | Scaling factor that should be applied to the et band |\n| start_date | STRING | Start date of month |\n\n### Terms of Use\n\n**Terms of Use**\n\n[CC-BY-4.0](https://spdx.org/licenses/CC-BY-4.0.html)\n\n### Citations\n\nCitations:\n\n- Anderson, M., Gao, F., Knipper, K., Hain, C., Dulaney, W., Baldocchi, D .,\n Eichelmann, E., Hemes, K., Yang, Y., Medellin-Azuara, J. and Kustas, W.,\n 2018. Field-scale assessment of land and water use change over the\n California Delta using remote sensing. Remote Sensing, 10(6), p.889.\n [doi:10.3390/rs10060889](https://doi.org/10.3390/rs10060889)\n- Anderson, M.C., Norman, J.M., Mecikalski, J.R., Otkin, J.A. and Kustas,\n W.P., 2007. A climatological study of evapotranspiration and moisture\n stress across the continental United States based on thermal remote\n sensing: 1. Model formulation. Journal of Geophysical Research:\n Atmospheres, 112(D10).\n [doi:10.1029/2006JD007506](https://doi.org/10.1029/2006JD007506)\n\n### DOIs\n\n- \u003chttps://doi.org/10.3390/rs10060889\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('OpenET/DISALEXI/CONUS/GRIDMET/MONTHLY/v2_0')\n .filterDate('2020-01-01', '2021-01-01');\n\n// Compute the annual evapotranspiration (ET) as the sum of the monthly ET\n// images for the year.\nvar et = dataset.select('et').sum();\n\nvar visualization = {\n min: 0,\n max: 1400,\n palette: [\n '9e6212', 'ac7d1d', 'ba9829', 'c8b434', 'd6cf40', 'bed44b', '9fcb51',\n '80c256', '61b95c', '42b062', '45b677', '49bc8d', '4dc2a2', '51c8b8',\n '55cece', '4db4ba', '459aa7', '3d8094', '356681', '2d4c6e',\n ]\n};\n\nMap.setCenter(-100, 38, 5);\n\nMap.addLayer(et, visualization, 'OpenET DisALEXI Annual ET');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/OpenET/OpenET_DISALEXI_CONUS_GRIDMET_MONTHLY_v2_0) \n[OpenET DisALEXI Monthly Evapotranspiration v2.0](/earth-engine/datasets/catalog/OpenET_DISALEXI_CONUS_GRIDMET_MONTHLY_v2_0) \nAtmosphere-Land Exchange Inverse / Disaggregation of the Atmosphere-Land Exchange Inverse (ALEXI/DisALEXI) DisALEXI was recently ported to Google Earth Engine as part of the OpenET framework and the baseline ALEXI/DisALEXI model structure is described by Anderson et al. (2012, 2018). The ALEXI evapotranspiration (ET) model specifically uses time differential land surface ... \nOpenET/DISALEXI/CONUS/GRIDMET/MONTHLY/v2_0, evapotranspiration,gridmet-derived,landsat-derived,monthly,openet,water,water-vapor \n2001-01-01T00:00:00Z/2024-12-01T00:00:00Z \n25 -126 50 -66 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [https://doi.org/10.3390/rs10060889](https://doi.org/https://openetdata.org/)\n- [https://doi.org/10.3390/rs10060889](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/OpenET_DISALEXI_CONUS_GRIDMET_MONTHLY_v2_0)"]]
