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dc.contributor.authorRossi, Júlia Brussopt_BR
dc.contributor.authorRuhoff, Anderson Luispt_BR
dc.contributor.authorFleischmann, Ayan Santospt_BR
dc.date.accessioned2023-02-10T04:55:04Zpt_BR
dc.date.issued2023pt_BR
dc.identifier.issn2072-4292pt_BR
dc.identifier.urihttp://hdl.handle.net/10183/254559pt_BR
dc.description.abstractDrought events have been reported in all Brazilian regions every year, evolving slowly over time and large areas, and largely impacting agriculture, hydropower production, and water supplies. In the last two decades, major drought events have occurred over the country, such as the 2010 and 2015 events in the Amazon, the 2012 event in the Pampa, and the 2014 event in the Cerrado biome. This research aimed to understand drought propagation and patterns over these biomes through joint analysis of hydrological, climatic, and vegetation indices based on remote sensing data. To understand the drought cascade propagation patterns, we assessed precipitation, evapotranspiration, soil moisture (at surface and sub-surface), terrestrial water storage, land surface temperature, enhanced vegetation index, and gross primary productivity. Similar drought patterns were observed in the 2015 Amazon and 2012 Pampa droughts, with meteorological and agricultural droughts followed by a hydrological drought, while the 2014 event in the Cerrado was more associated with a hydrological drought. Moreover, the 2015 Amazon drought showed a different pattern than that of 2010, with higher anomalies in precipitation and lower anomalies in evapotranspiration. Thus, drought propagation behaves differently in distinct Brazilian biomes. Our results highlight that terrestrial water storage anomalies were able to represent the hydrological drought patterns over the country. Our findings reveal important aspects of drought propagation using remote sensing in a heterogenous country largely affected by such events.en
dc.format.mimetypeapplication/pdfpt_BR
dc.language.isoengpt_BR
dc.relation.ispartofRemote sensing. Basel. Vol. 15, n. 2 (Jan. 2023), 16 p.pt_BR
dc.rightsOpen Accessen
dc.subjectDrought patternsen
dc.subjectSensoriamento remotopt_BR
dc.subjectSeca : Caracterizaçãopt_BR
dc.subjectDrought cascadeen
dc.subjectBioma Amazôniapt_BR
dc.subjectBioma Cerradopt_BR
dc.subjectBioma Pampapt_BR
dc.titleDrought propagation in brazilian biomes revealed by remote sensingpt_BR
dc.typeArtigo de periódicopt_BR
dc.identifier.nrb001161733pt_BR
dc.type.originEstrangeiropt_BR


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