Developing a remotely sensed drought monitoring indicator for Morocco
Noureddine Bijaber1, Driss El Hadani1, Mariam Saidi1
1Royal Centre for Remote Sensing, Rabat, Morocco.
Geosciences
|August 18, 2020
Summary
This study developed an integrated remote sensing method for drought monitoring in Morocco. The composite drought index effectively maps drought severity, aiding agricultural and water resource management.
Area of Science:
- * Climatology and Remote Sensing
- * Hydrology and Agricultural Science
Background:
- * Morocco faces severe socio-economic impacts from drought due to low and irregular rainfall.
- * Existing drought monitoring methods require enhancement for comprehensive national-scale assessment.
Purpose of the Study:
- * To develop and validate an integrated, remote sensing-based drought monitoring system for Morocco.
- * To generate a composite drought index for assessing drought severity across the country.
Main Methods:
- * Utilized monthly satellite data: CHIRPS precipitation, MODIS NDVI, Land Surface Temperature (LST) anomalies, and Evapotranspiration (ET) anomalies.
- * Calculated Standardized Precipitation Index (SPI) and other anomaly-based indicators.
- * Combined parameters into a weighted composite drought index, prioritizing SPI.
Main Results:
- * Generated monthly composite drought index maps from 2003 onwards.
- * Validated maps against in situ precipitation and historical crop yield data.
- * Demonstrated the system's capability to monitor vegetation condition, rainfall, and land surface temperature.
Conclusions:
- * The integrated remote sensing approach provides a robust tool for drought monitoring in Morocco.
- * Monthly dissemination of drought index maps supports key stakeholders in water and agriculture sectors.
- * The method offers a scalable solution for drought assessment in data-scarce regions.
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