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Revista Brasileira de Geomorfologia

Publisher:
—
ISSN:
1519-1540
Category:
GEOGRAPHY, PHYSICAL
Impact factor:
0.5

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2 parsed articles

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Latest articles

Ice Phenology of Lakes in the Byers, Keller, and Fildes Peninsulas, Maritime Antarctica, from 2014 to 2023 using SAR Data

2026-03-27

Jorge Antônio Viel, Kátia Kellem da Rosa, Carina Petsch, Luiz Felipe Velho, Danielle Dall Amaria Soffiatti, Federico Aita, Rosemary Vieira

This study examined the ice phenology of twenty-five lakes located in the Fildes and Keller peninsulas (King George Island) and the Byers Peninsula Livingston Island), Antarctica, using SAR (Sentinel-1) data from 2014 to 2023. A backscatter threshold was established for ice-free and frozen surfaces in S1 images. The temporal analysis of lake phenology was conducted covering the months from October to March. The slope context, altitude, and distance from the coast of the lakes were characterized. Field activities were carried out to validation. Temporal backscatter analysis revealed seasonal patterns of lake surface freezing and thawing, which were correlated with climatic variables, including mean air temperature, precipitation, and wind. Mean air temperature emerged as the primary driver of ice cover variability, with fewer frozen days observed in years of increased positive temperatures, particularly during El Niño events. The years 2015 and 2019 exhibited less thawing, while 2023 recorded the lowest extent of frozen lake surfaces (99.15%). Local factors, including wind speed and direction, and coast distance and altitude, also influenced the observed patterns. Sentinel-1 imagery proved effective for mapping and monitoring lake surface ice cover in glacial and periglacial environments, underscoring its potential for assessing lacustrine responses to climate variability.

Shallow landslide hazard assessment in the Camburi river catchment, São Sebastião municipality – SP

2025-12-15

Sofia Bonfogo Cavichioli, Marina Tamaki de Oliveira Sugiyama, José Eduardo Bonini, Tiago Damas Martins, Bianca Carvalho Vieira

: In February 2023, the São Sebastião municipality (São Paulo State, Brazil) was hit by an extreme rainfall event that triggered hundreds of shallow landslides on the Serra do Mar slopes, outlining the necessity for detailed landslide hazard cartography. This research aims to quantitatively assess the hazard posed by landslides to the exposed elements of the Camburi river basin, located in São Sebastião. Susceptibility was evaluated through the SHALSTAB model, achieving good results (sensitivity = 0,865, specificity = 0,457, and F1-score = 0,720), allowing to identify unstable areas associated with rainfall thresholds up to 50mm/day. Hazard was assessed using the Gravitational Process Path (GPP) model, with reasonable accuracy for the final coupled model (ROC-AUC = 0,720). Approximatively 69% of the basin was classified as low and very low hazard areas, with 8% associated with high and very high hazard zones. We were able to identify buildings located in areas classified as both unstable and in the landslide runout zones, highlighting the coupling between irregular land tenure and geomorphological risk.