The main problem using meteorological drought indices include inappropriate distribution of meteorological stations. Satellite data have reliable spatial and temporal resolution and provide valuable information used in many different applications. The Standardized precipitation index has several advantages. The SPI is based on rainfall data alone and has a variable time scale and is thus conducive to describing drought conditions for different application. This study aims to calculate SPI using satellite precipitation data and compare the results with traditional methods. To do this, satellite-based precipitation data were assessed against station data and then the standardized precipitation index was calculated. The results have indicated that satellite-based SPI could illustrate drought spatial characteristic more accurate than station-based index. Also, the standardized property of the SPI index allows comparisons between different locations, which is one of the remote sensing drought indices limitations.
|Number of pages||4|
|Journal||International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives|
|Publication status||Published - 18 Oct 2019|
|Event||ISPRS International GeoSpatial Conference 2019, Joint Conferences of 5th Sensors and Models in Photogrammetry and Remote Sensing, SMPR 2019 and 3rd Geospatial Information Research, GI Research 2019 - Karaj, Iran, Islamic Republic of|
Duration: 12 Oct 2019 → 14 Oct 2019
Bibliographical notePublisher Copyright:
© 2019 M. Behifar et al.
Copyright 2020 Elsevier B.V., All rights reserved.
- Remote Sensing