Indeks Kekeringan Keetch-Byram (KBDI) adalah skala referensi berkelanjutan untuk memperkirakan kekeringan lapisan tanah dan serasah. Indeks meningkat untuk setiap hari tanpa hujan (jumlah peningkatan bergantung pada suhu tertinggi harian) dan menurun saat hujan. Sistem ini terutama didasarkan pada pola curah hujan baru-baru ini. Ini adalah ukuran kekeringan meteorologi; mencerminkan perolehan atau kehilangan air dalam tanah.
Skalanya berkisar dari 0 (tidak ada defisit kelembapan) hingga 800 (kekeringan ekstrem). Rentang indeks
ditentukan dengan mengasumsikan bahwa ada kelembapan 20 cm di tanah jenuh yang mudah
tersedia untuk vegetasi (Keetch dan Byram, 1968). KBDI banyak digunakan di seluruh dunia untuk memantau kekeringan dalam prakiraan cuaca nasional, pencegahan kebakaran hutan, dan sangat berguna terutama di wilayah dengan tanaman tadah hujan.
Wataru Takeuchi, Soni Darmawan, Rizatus Shofiyati, Mai Van Khiem, Kyaw San Oo, Uday Pimple
dan Suthy Heng, 2015. Sistem peringatan dini dan pemantauan kekeringan meteorologis hampir real-time untuk lahan pertanian di Asia.
36th Asian conference on remote sensing (ACRS): Manila, Filipina, 20 Oktober 2015.
Indeks Kekeringan Keetch-Byram (KBDI) adalah skala referensi berkelanjutan untuk memperkirakan kekeringan lapisan tanah dan serasah. Indeks akan meningkat untuk setiap hari tanpa hujan (jumlah peningkatan bergantung pada suhu tertinggi harian) dan menurun saat hujan. Sistem ini terutama didasarkan pada curah hujan baru-baru ini …
[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)"]]
