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 patterns. It is a measure of meteorological drought; it reflects
water gain or loss within the soil.
The scale ranges from 0 (no moisture deficit) to 800 (extreme drought). The range of the index
is determined by assuming that there is 20 cm of moisture in a saturated soil that is readily
available to the vegetation (Keetch and Byram, 1968). KBDI is world widely used for drought
monitoring for national weather forecast, wildfire prevention and usefully especially in regions
with rain-fed crops.
Version 1
Keetch-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 patterns. It is a measure of meteorological drought; it reflects
water gain or loss within the soil.
The scale ranges from 0 (no moisture deficit) to 800 (extreme drought). The range of the index
is determined by assuming that there is 20 cm of moisture in a saturated soil that is readily
available to the vegetation (Keetch and Byram, 1968). KBDI is world widely used for drought
monitoring for national weather forecast, wildfire prevention and usefully especially in regions
with rain-fed crops.
Name | Description |
---|---|
KBDI | Keetch-Byram Drought Index |
Providers | |
---|---|
Institute of Industrial Science, The University of Tokyo, Japan (producer, licensor) | |
Google Earth Engine (host) | |
STAC Version | 0.6.2 |
Keywords | drought, kbdi, lst_derived, rainfall, utokyo, wtlab |
License | proprietary |
Temporal Extent | 12/31/2006, 4:00:00 PM - now |
Citation | Wataru Takeuchi, Soni Darmawan, Rizatus Shofiyati, Mai Van Khiem, Kyaw San Oo, Uday Pimple and Suthy Heng, 2015. Near-real time meteorological drought monitoring and early warning system for croplands in Asia. 36th Asian conference on remote sensing (ACRS): Manila, Philippines, Oct. 20, 2015. |
Type | image_collection |
GSD | metersm |
Cadence | day |
cube:dimensions | {"x":{"type":"spatial","axis":"x","extent":[-180,60]},"y":{"type":"spatial","axis":"y","extent":[-60,60]},"temporal":{"type":"temporal","extent":["2007-01-01T00:00:00Z",null]},"bands":{"type":"bands","values":["KBDI"]}} |