Drought monitoring based on remote sensing in a grain-producing region in the Cerrado – Amazon Transition, Brazil.
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2020
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Resumo
Drought is a natural disaster that affects a country’s economy and food security.
The monitoring of droughts assists in planning assertive actions to mitigate the resulting environmental
and economic impacts. This work aimed to evaluate the performance of the standardized precipitation
index (SPI) using rainfall data estimated by orbital remote sensing in the monitoring of meteorological
drought in the Cerrado–Amazon transition region, Brazil. Historical series from 34 rain gauge
stations, in addition to indirect measurements of monthly precipitation obtained by remote sensing
using the products CHIRPS-2.0, PERSIANN-CDR, PERSIANN-CCS, PERSIANN, GPM-3IMERGMv6,
and GPM-3IMERGDLv6, were used in this study. Drought events detected by SPI were related to
a reduction in soybean production. The SPI calculated from the historical rain series estimated by
remote sensing allowed monitoring droughts, enabling a high detailing of the spatial variability of
droughts in the region, mainly during the soybean development cycle. Indirect precipitation measures
associated with SPI that have adequate performance for detecting droughts in the study region
were PERSIANN-CCS (January), CHIRPS-2.0 (February and November), and GPM-3IMERGMv6
(March, September, and December). The SPI and the use of precipitation data estimated by remote
sensing are effective for characterizing and monitoring meteorological drought in the study region.
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Agricultural planning, Soybean, Climate risk, Natural disaster, Water resource management
Citação
CARVALHO, M. A. C. C. de et al. Drought monitoring based on remote sensing in a grain-producing region in the Cerrado – Amazon Transition, Brazil. Water, v. 12, 2020. Disponível em: <https://www.mdpi.com/2073-4441/12/12/3366>. Acesso em: 29 abr. 2022.