| Combination of Meteorological Indices and Satellite Data for Drought Monitoring in Two Different Environments in Iran |
| Paper ID : 1300-SMPR |
| Authors: |
|
Maedeh Behifar *1, Ata Abdollahi Kakroodi2, Majid Kiavarz3, Farshad Amiraslani4 1Remote sensing department, geography faculty, tehran university. 2Department of RS & GIS, Faculty of Geography, University of Tehran,Tehran, Iran 3Dept. of GIS & RS Faculty of Geography University of Tehran, Tehran, Iran 4Department of RS and GIS, Faculty of Geography, University of Tehran, Tehran, Iran. |
| Abstract: |
| Drought is an extreme climate event which is repeated recursively and therefore is a normal part of climate variability. So, it is important to monitor it and make appropriate decision in different sectors for adaptation and risk managements. Several indices have developed for monitoring drought with their advantage and drawbacks. Meteorological and remotely sensed drought indices are two group of drought monitoring indices. Meteorological indices are accepted in many official reports and published papers. One of most important drawbacks of the index is that these indices are calculated in station points and so determining the drought spatial extent would be another challenge that need additional decisions. On the other hand, researchers have developed different remotely sensed drought indices. Due to define drought classes using these indices, appropriate thresholds are needed. These thresholds are local and depends on study’s time scale. In the present study we concentrated meteorological drought indices using satellite data. As a result of this combination, we would have standardized indices with good spatial distribution. To do this, we calculate SPI index using satellite precipitation data. The result has showed that TRMM3B43 data is capable for calculating meteorological drought indices. The major limitation of this data is their short period of data. But yet, it is applicable for short term drought monitoring. |
| Keywords: |
| Drought, Iran, Remote Sensing, SPI, TRMM. |
| Status : Conditional Accept (Oral Presentation) |
