In this study the estimative of the Combined Drought Index (CDI) to identify agricultural drought over Southern Brazil is introduced. This combined drought index is based on a combination of three indicators: Standardized Precipitation Index (SPI), Soil Moisture Anomalies (SMA) and Vegetation Health Index (VHI). The proposed CDI has four levels, watch, warning, alert I and alert II, thus benefiting an increasing degrees of severity. This CDI was applied during the first 6 months of 2020 to different study sites over Southern Brasil, representative of the crop areas. The performance of the CDI levels was assessed by comparison with risk areas. Observations show a good match between these areas and the CDI. Important crop drought events in 2020 were correctly predicted by the proposed CDI in all areas.
Remote Sensing as a Tool for Agricultural Drought Alert Over the South Region of Brazil / ROSSATO SPATAFORA, Luciana; Alvalá, Regina C. S.; Cunha, Ana Paula M. A.; Antônio Marengo, José; Vall-llossera, Mercè; Pablos, Miriam; Savi, Patrizia. - In: RADIO SCIENCE LETTERS. - ISSN 2736-2760. - ELETTRONICO. - 13:(2021), pp. 1-4. [10.46620/21-0049]
Remote Sensing as a Tool for Agricultural Drought Alert Over the South Region of Brazil
Luciana Rossato Spatafora;Patrizia Savi
2021
Abstract
In this study the estimative of the Combined Drought Index (CDI) to identify agricultural drought over Southern Brazil is introduced. This combined drought index is based on a combination of three indicators: Standardized Precipitation Index (SPI), Soil Moisture Anomalies (SMA) and Vegetation Health Index (VHI). The proposed CDI has four levels, watch, warning, alert I and alert II, thus benefiting an increasing degrees of severity. This CDI was applied during the first 6 months of 2020 to different study sites over Southern Brasil, representative of the crop areas. The performance of the CDI levels was assessed by comparison with risk areas. Observations show a good match between these areas and the CDI. Important crop drought events in 2020 were correctly predicted by the proposed CDI in all areas.File | Dimensione | Formato | |
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https://hdl.handle.net/11583/2970282