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 in questo prodotto:
File Dimensione Formato  
RSL21-0049-revisedfinal.pdf

accesso aperto

Descrizione: post print editore
Tipologia: 2a Post-print versione editoriale / Version of Record
Licenza: PUBBLICO - Tutti i diritti riservati
Dimensione 433.31 kB
Formato Adobe PDF
433.31 kB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

Caricamento pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11583/2970282