Wskaźnik suszy Keetch-Byram (KBDI) to ciągła skala odniesienia do szacowania suchości gleby i warstw ściółki. Indeks rośnie każdego dnia bez deszczu (wielkość wzrostu zależy od najwyższej temperatury w ciągu dnia) i maleje, gdy pada deszcz. Ten system opiera się głównie na ostatnich wzorcach opadów. Jest to miara suszy meteorologicznej, która odzwierciedla przyrost lub utratę wody w glebie.
Skala ma zakres od 0 (brak deficytu wilgoci) do 800 (ekstremalna susza). Zakres indeksu jest określany na podstawie założenia, że w nasyconej glebie znajduje się 20 cm wilgoci, która jest łatwo dostępna dla roślinności (Keetch i Byram, 1968). KBDI jest powszechnie stosowany na całym świecie do monitorowania suszy na potrzeby krajowych prognoz pogody, zapobiegania pożarom i jest szczególnie przydatny w regionach, w których uprawy są zależne od opadów deszczu.
Wataru Takeuchi, Soni Darmawan, Rizatus Shofiyati, Mai Van Khiem, Kyaw San Oo, Uday Pimple
and Suthy Heng, 2015. System monitorowania suszy meteorologicznej i wczesnego ostrzegania w czasie zbliżonym do rzeczywistego na potrzeby upraw w Azji.
36th Asian conference on remote sensing (ACRS): Manila, Philippines, Oct. 20, 2015.
Wskaźnik suszy Keetch-Byram (KBDI) to ciągła skala odniesienia do szacowania suchości gleby i warstw próchnicy. Indeks rośnie każdego dnia bez deszczu (wielkość wzrostu zależy od najwyższej temperatury w ciągu dnia) i maleje, gdy pada deszcz. System ten opiera się głównie na ostatnich opadach deszczu…
[null,null,[],[[["\u003cp\u003eThe Keetch-Byram Drought Index (KBDI) dataset provides a continuous scale (0-800) for estimating the dryness of soil and duff layers, reflecting recent rainfall patterns and meteorological drought.\u003c/p\u003e\n"],["\u003cp\u003eKBDI values increase daily without rain (influenced by temperature) and decrease with rainfall, offering insights into soil moisture deficits.\u003c/p\u003e\n"],["\u003cp\u003eThis dataset, available from 2007-01-01 to 2024-12-11, is valuable for drought monitoring, wildfire prevention, and agricultural planning, especially in rain-fed regions.\u003c/p\u003e\n"],["\u003cp\u003eProvided by the Institute of Industrial Science at the University of Tokyo, the dataset is accessible through Google Earth Engine with a resolution of 4000 meters.\u003c/p\u003e\n"],["\u003cp\u003eLicensed under CC-BY-4.0, the KBDI dataset encourages research, education, and non-profit use for drought analysis and applications.\u003c/p\u003e\n"]]],["The dataset provides the Keetch-Byram Drought Index (KBDI), a measure of soil and duff layer dryness, ranging from 0 (no deficit) to 800 (extreme drought). The index increases during dry periods and decreases with rainfall, reflecting meteorological drought conditions. The data, provided by the University of Tokyo, is updated daily from 2007-01-01 to 2025-02-21 and is available via Google Earth Engine. Pixel size is 4000 meters. It is tagged for drought and rainfall.\n"],null,["Dataset Availability\n: 2007-01-01T00:00:00Z--2025-08-26T00:00:00Z\n\nDataset Provider\n:\n\n\n [Institute of Industrial Science, The University of Tokyo, Japan](http://wtlab.iis.u-tokyo.ac.jp/DMEWS/)\n\nCadence\n: 1 Day\n\nTags\n:\n [drought](/earth-engine/datasets/tags/drought) [fire](/earth-engine/datasets/tags/fire) [rainfall](/earth-engine/datasets/tags/rainfall) \n kbdi \n lst-derived \n utokyo \nwtlab \n\nDescription \nKeetch-Byram Drought Index (KBDI) is a continuous reference scale for estimating the dryness of\nthe soil and duff layers. The index increases for each day without rain (the amount of increase\ndepends on the daily high temperature) and decreases when it rains. This system is based\nprimarily on recent rainfall patterns. It is a measure of meteorological drought; it reflects\nwater gain or loss within the soil.\n\nThe scale ranges from 0 (no moisture deficit) to 800 (extreme drought). The range of the index\nis determined by assuming that there is 20 cm of moisture in a saturated soil that is readily\navailable to the vegetation (Keetch and Byram, 1968). KBDI is world widely used for drought\nmonitoring for national weather forecast, wildfire prevention and usefully especially in regions\nwith rain-fed crops.\n\nBands\n\n\n**Pixel Size**\n\n4000 meters\n\n**Bands**\n\n| Name | Min | Max | Pixel Size | Description |\n|--------|-----|-----|------------|----------------------------|\n| `KBDI` | 0 | 800 | meters | Keetch-Byram Drought Index |\n\nTerms of Use\n\n**Terms of Use**\n\n[CC-BY-4.0](https://spdx.org/licenses/CC-BY-4.0.html)\n\nCitations \nCitations:\n\n- Wataru Takeuchi, Soni Darmawan, Rizatus Shofiyati, Mai Van Khiem, Kyaw San Oo, Uday Pimple\n and Suthy Heng, 2015. Near-real time meteorological drought monitoring and early warning\n system for croplands in Asia.\n 36th Asian conference on remote sensing (ACRS): Manila, Philippines, Oct. 20, 2015.\n\nExplore with Earth Engine **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\nCode Editor (JavaScript) \n\n```javascript\nvar collection = ee.ImageCollection('UTOKYO/WTLAB/KBDI/v1')\n .select('KBDI')\n .filterDate('2019-01-01', '2019-01-10');\nvar bandViz = {\n min: 0,\n max: 800,\n palette: [\n '001a4d', '003cb3', '80aaff', '336600', 'cccc00', 'cc9900', 'cc6600',\n '660033'\n ]\n};\nMap.addLayer(collection.mean(), bandViz, 'Keetch-Byram Drought Index');\nMap.setCenter(120, 3, 3);\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/UTOKYO/UTOKYO_WTLAB_KBDI_v1) \n[KBDI: Keetch-Byram Drought Index](/earth-engine/datasets/catalog/UTOKYO_WTLAB_KBDI_v1) \nKeetch-Byram Drought Index (KBDI) is a continuous reference scale for estimating the dryness of the soil and duff layers. The index increases for each day without rain (the amount of increase depends on the daily high temperature) and decreases when it rains. This system is based primarily on recent rainfall ... \nUTOKYO/WTLAB/KBDI/v1, drought,fire,rainfall \n2007-01-01T00:00:00Z/2025-08-26T00:00:00Z \n-60 60 60 180 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [](https://doi.org/http://wtlab.iis.u-tokyo.ac.jp/DMEWS/)\n- [](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/UTOKYO_WTLAB_KBDI_v1)"]]
