Four decades of satellite data for agricultural drought monitoring throughout the growing season in Central Chile
Abstract
The chapter describes the monitoring of agricultural drought in Central Chile. Discuss the Standardized Precipitation Index (SPI), the standardized anomaly of NDVI (zNDVI), and the Vegetation Condition Index (VCI) used in Chile for agricultural drought. Describe some of the most relevant long-term datasets from earth observation for agricultural drought as MODIS, AVHRR, and CHIRPS. It is presented the standardized anomaly of cumulative NDVI within the growing season index (zcNDVI) as a well fit index for agriculture. Finally, since 1981, the zcNDVI and SPI at the end of the season (EOS) for the vegetation in Central Chile are analyzed. Results showed that the for 2019-2020 at North 34°S is the most extreme of the last 40 years. Also, the deficit of precipitation of 12 and 24 months at EOS (\(SPI_{eos}-12\) and \(SPI_{eos}\)-24) explained over 50% of the zcNDVI for North of 34°S, but decrease drastically toward the south.
Zambrano, F. (2023). Four decades of satellite data for agricultural drought monitoring throughout the growing season in Central Chile. In V.P. Singh, D. Jhajharia, R. Mirabbasi & R. Kumar (Eds.), Integrated Drought Management, Volume 2 Forecasting, Monitoring, and Managing Risk (1st ed., Vol. 2). CRC Press.