S
Sergio Bernardes
Researcher at University of Georgia
Publications - 32
Citations - 476
Sergio Bernardes is an academic researcher from University of Georgia. The author has contributed to research in topics: Aquifer & Groundwater. The author has an hindex of 9, co-authored 31 publications receiving 315 citations. Previous affiliations of Sergio Bernardes include Goddard Space Flight Center.
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Journal ArticleDOI
Extended Reality in Spatial Sciences: A Review of Research Challenges and Future Directions
Arzu Çöltekin,Ian Lochhead,Marguerite Madden,Sidonie Christophe,Alexandre Devaux,Christopher Pettit,Oliver Lock,Shashwat Shukla,Lukáš Herman,Zdeněk Stachoň,Petr Kubíček,Dajana Snopková,Sergio Bernardes,Nicholas Hedley +13 more
TL;DR: The main objective of the study is to provide an overview of broader research challenges and directions in XR, especially in spatial sciences, and to provide case studies with original results from their own studies in each section.
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North Tropical Atlantic influence on western Amazon fire season variability
Katia Fernandes,Walter E. Baethgen,Sergio Bernardes,Ruth DeFries,David G. DeWitt,Lisa Goddard,Waldo Lavado,Dong Eun Lee,Christine Padoch,Miguel Pinedo-Vasquez,María Uriarte +10 more
TL;DR: In this article, a linear regression model was developed to relate local fire activity to an index of the North Tropical Atlantic (NTA) sea surface temperature (SST) in the western Amazon.
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Assessment of CMIP5 global model simulations and climate change projections for the 21 st century using a modified Thornthwaite climate classification
TL;DR: In this article, a modified Thornthwaite Climate Classification is applied to a 32-member ensemble of CMIP5 GCMs in order to evaluate model performance in the historical climate and assess projected climate change at the end of the 21 s t th century following two greenhouse gas representative concentration pathways (RCP4.5 and RCP8.5).
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An empirical approach to retrieving monthly evapotranspiration over Amazonia
TL;DR: In this article, the authors developed an empirical method to estimate the extent of evapotranspiration (E T) over the Brazilian Amazon rainforest based on an improved physical understanding of what controls E T over the Amazonia rainforest resulting from analyses of recent in situ observations.
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Self-Adaptive Gradient-Based Thresholding Method for Coal Fire Detection Using ASTER Thermal Infrared Data, Part I: Methodology and Decadal Change Detection
TL;DR: Comparisons between the retrieved thermal anomalies and field measurements in different aspects are reported to prove that the coal fires are separable by the SAGBT method, and an improvement to SAGBT is proposed.