Adaptability Analysis of the Drought Monitoring Model based on the Cloud Parameters Method in Africa
نویسندگان
چکیده
Firstly, the drought monitoring model based on the Cloud Parameters Method/Index (CPI) is briefly introduced in this paper. Meanwhile, the characteristics of the sensor, Spinning Enhanced Visible and InfraRed Imager (SEVIRI), are analyzed from the aspect for drought monitoring. Secondly, we promote a suitable multi-spectral model to detect cloud pixels for the calculation of the three cloud parameters. Then, the drought conditions of Africa in the winter of 2009 and spring of 2010 are monitored by using the cloud parameters method in this paper. Finally, Monthly Evaporation and Monthly Precipitation data from Climate Prediction Center, National Weather Service, US, are taken as reference data to evaluate the drought monitoring result. The comparable analysis indicated that the monitoring results of CPI almost have the same tendency and area as the reference data. Consequently, CPI is adaptable for the drought detecting in Africa.
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