Showing papers in "Geomorphology in 2022"

TL;DR: Wang et al. as mentioned in this paper used frequency ratio analysis-based logistic regression (LR), support vector machine (SVM) and random forest (RF) models to predict landslide susceptibility for machine learning model comparison.

TL;DR: In this article, the authors developed regional flood-frequency analyses combining tree-ring based estimation and measurement of peak discharge at monitoring stations during tropical cyclones to derive flood quartiles, which were combined with the Topographic Wetness Index (TWI) to determine regional flood hazards along floodplains.

TL;DR: In this article , the authors developed regional flood-frequency analyses combining tree-ring based estimation and measurement of peak discharge at monitoring stations during tropical cyclones to derive flood quartiles, which were combined with the Topographic Wetness Index (TWI) to determine regional flood hazards along floodplains.

TL;DR: In this paper , temperature fluctuations and trends induced by climate change may exert, in short to long terms, a hydro-mechanical forcing on slopes (by altering permeability, water retention capacity, compressibility, shear strength).

TL;DR: In this article, a quantitative assessment of the scientific value of the inventoried geosites of the Itatiaia National Park, Brazil, adopting geological and geomorphological approaches, using both general-and special-purpose methods, is presented.

TL;DR: Wang et al. as discussed by the authors presented a detailed landslide inventory map caused by the 1933 Mw 7.3 Diexi Earthquake through a multi-temporal inventory, field investigations, and the previous landslide inventory in the Diexi region (885 km2).

TL;DR: In this article , a quantitative assessment of the scientific value of the inventoried geosites of the Itatiaia National Park, Brazil, adopting geological and geomorphological approaches, using both general-and special-purpose methods, is presented.

TL;DR: In this paper , an integrated approach was applied, including radar rainfall estimation, hydrologic-hydraulic analysis, analysis of morphological changes and sediment delivery to the stream network.

TL;DR: In this paper, the authors present a novel technique of gully erosion susceptibility mapping by employing EBO (Eco-geography based optimization) with its ensembles: Bagging, Dagging, and Decorate.

TL;DR: In this paper , the authors present a novel technique of gully erosion susceptibility mapping by employing EBO (Eco-geography based optimization) with its ensembles: Bagging, Dagging, and Decorate.

TL;DR: In this article, a landslide susceptibility model using binary logistic regression for silvopastoral landscapes was developed, which for the first time includes spatial distribution models for individual trees of different vegetation types.

TL;DR: In this paper , the authors compare the morphological changes of the Yangtze River Delta and Mississippi River Delta at multiple spatial and temporal scales and identify the lessons learned from past engineering and management strategies.

TL;DR: In this article , a landslide susceptibility model using binary logistic regression for silvopastoral landscapes was developed, which for the first time includes spatial distribution models for individual trees of different vegetation types.

TL;DR: In this article , the authors explored the potential of four common supervised machine learning algorithms, named random forest (RF), logistic regression (LR), naïve Bayes (NB) and artificial neural network (ANN), to produce gully erosion susceptibility models for two gullied watersheds, located in the state of Minas Gerais, southeastern Brazil.

TL;DR: In this paper , the authors used satellite-derived shorelines (SDS) data to understand and predict shoreline change along sandy coasts, particularly at high energy meso-macrotidal coasts, which challenge the assessment of long-term trends and interannual variability.

TL;DR: In this paper , the authors evaluated the spatio-temporal variations in functional connectivity in two sub-basins of the Sulden river basin in the Italian Alps, based on graph theory.

TL;DR: In this article , the authors studied temporal-spatial variations in the grain size of sediments from the Huanghe (Yellow River) delta-coast and found that sediment coarsening of the abandoned delta lobe began in the 1990s due to the extensive erosion caused by the absence of riverine-sediment supply.

TL;DR: In this paper, a team of experts defined interpretation criteria of SAR amplitude post-event images of the backscatter coefficient (β₀) and of the derived images of change.

TL;DR: In this article, the runout distance and lobe shape change dramatically under different solid volume fractions and are highly dependent on basal roughness, while the particle size has a marginal effect on deposit morphology.

TL;DR: In this paper, the authors explored vegetation recovery in rainfall-induced and coseismic landslide scars at the Aso volcano in Japan using multitemporal satellite images of RapidEye from 2010 to 2019 and PlanetScope from 2016 to 2020.

TL;DR: In this paper , a conceptual model of a process-form continuum for the production of different styles of geometric and sinuous ridge networks (GSRN) is presented. But the model is limited to the case of Hørbyebreen, a polythermal glacier.

TL;DR: In this paper , the authors analyzed the deglaciation process in the Muxivén Cirque (42°15′N − 6°16′W), in the upper Sil River Basin, which includes some of the largest relict rock glaciers of the Cantabrian Mountains.

TL;DR: In this article , the authors explored vegetation recovery in rainfall-induced and coseismic landslide scars at the Aso volcano in Japan using multitemporal satellite images of RapidEye from 2010 to 2019 and PlanetScope from 2016 to 2020 and finer spatial resolution images of UAVs.

TL;DR: In this paper , a team of experts defined interpretation criteria of SAR amplitude post-event images of the backscatter coefficient (β₀) and of the derived images of change.

TL;DR: In this article , the runout distance and lobe shape change dramatically under different solid volume fractions and are highly dependent on basal roughness, while the particle size has a marginal effect on deposit morphology.

TL;DR: In this paper , a predictive conceptual framework was developed in which the resilience of South Florida mangrove plant communities is solely a function of the rate of sea-level rise and vertical sediment accumulation.

TL;DR: In this article , a digital elevation model (DEM) was used to provide long river profiles based on the χ approach, normalized channel steepness index (k sn ), and drainage divide analysis.

TL;DR: In this paper , the morphological and genetic bedform continuum corresponding to the progressive transformation of ribbed bedforms into murtoos was observed, and two alternating drainage configurations, related to repeated subglacial flooding events, were involved in this transformation.

TL;DR: In this paper , the authors review three coupled legacies linked by charcoal hearths (RCHs): landscape-scale geomorphic effect, unique soil fingerprint, and an evolving novel ecosystem.

TL;DR: In this article , the morphological changes induced by eruptive activity at Stromboli volcano (Italy) during and after events occurring during July-August 2019 were analyzed by integrating topographic (PLÉIADES satellite tri-stereo Digital Elevation Models) and multibeam bathymetric data, acquired before, during, and after the paroxysmal events.