Geomorphology of the Upper General River Basin, Costa Rica

Quesada‐Román, Adolfo; Zamorano-Orózco, José Juan

doi:10.1080/17445647.2018.1548384

Cited by 29 publications

(12 citation statements)

References 23 publications

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“…Lachniet and Seltzer (2002) 35 km 2 of the Cerro Chirripó area and mentioned that the local equilibrium line altitude (ELA) was located at 3500 m a.s.l. More recently, the glacial geomorphology of the Chirripó National Park was described in more detail even expanding previous mapped areas (Li et al, 2019;Quesada-Román and Zamorano-Orozco, 2019a). Earlier works suggest paleo-ELAs between 3500 and 3550 m a.s.l.…”

Section: Introductionmentioning

confidence: 81%

Tropical glacier reconstructions during the Last Glacial Maximum in Costa Rica

Quesada‐Román¹,

Campos²,

Granados-Bolaños³

2021

revmexcg

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Numerous high elevation tropical mountains around the world show evidence of past glacial activity during the Last Glacial Maximum (LGM). Cerro Chirripó in Costa Rica exhibits paleoglacial landforms such as glacial cirques, moraine deposits and polished and striated bedrock surfaces. We used aerial imagery (1:25000) and contour lines to develop a Digital Elevation Model (DEM) for the LGM. We determined paleo-equilibrium line altitudes (paleo-ELAs) using Area-Altitude Balance Ratio (AABR) during the LGM for Cerro Chirripó in Costa Rica. Additionally, a Generalized Linear Model (GLM) was performed to statistically analyze the paleoglacier volumes and ice thickness combined with ten land surface parameters (LSP). Our results identified thirty-one paleoglaciers covering an area of 28.26 km2 during the global LGM, with a maximum ice thickness of 178 meters in Cerro Chirripó, a total volume of 13863 × 105 m3 and a mean paleo-ELA of 3490 meters. In addition, Area and Slope were the LSP with the highest statistical correlation to explain the paleoglacier volumes, while Area and Diurnal Anisotropic Heating were best for the paleoglacier ice thickness. As one of the first studies in the tropical high mountain environments, this work expands the geographic scope of glacier volume and thickness reconstructions during the maximum expansion of the LGM.

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Section: Introductionmentioning

confidence: 81%

Tropical glacier reconstructions during the Last Glacial Maximum in Costa Rica

Quesada‐Román¹,

Campos²,

Granados-Bolaños³

2021

revmexcg

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“…Considering the quantitative geomorphic and fractal analyses, subject of traditional works 5 , 18 , 19 , 22 , 24 , our data-driven approach based on the direct application of DL to the drainage pattern images, overcomes intrinsic limits of traditional quantitative methodologies, by contributing at the same time to the improvement of the drainage pattern classification as well as to their correlation with climatic-geomorphological aspects.…”

Section: Discussionmentioning

confidence: 99%

A novel approach to the classification of terrestrial drainage networks based on deep learning and preliminary results on solar system bodies

Donadio

Brescia

Riccardo

et al. 2021

Sci Rep

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Several approaches were proposed to describe the geomorphology of drainage networks and the abiotic/biotic factors determining their morphology. There is an intrinsic complexity of the explicit qualification of the morphological variations in response to various types of control factors and the difficulty of expressing the cause-effect links. Traditional methods of drainage network classification are based on the manual extraction of key characteristics, then applied as pattern recognition schemes. These approaches, however, have low predictive and uniform ability. We present a different approach, based on the data-driven supervised learning by images, extended also to extraterrestrial cases. With deep learning models, the extraction and classification phase is integrated within a more objective, analytical, and automatic framework. Despite the initial difficulties, due to the small number of training images available, and the similarity between the different shapes of the drainage samples, we obtained successful results, concluding that deep learning is a valid way for data exploration in geomorphology and related fields.

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“…Terrain inclination is one of the most important factors of mass movement processes (Aceves Quesada et al, 2014;Alcalá-Reygosa et al, 2016;Guzzetti et al, 2012;Quesada-Román & Zamorano-Orozco, 2019a;Shrestha & Poudel, 2018) because water erosion has a higher impact in abrupt slopes, which may lead to the acceleration of the process in such areas. The slope map was obtained in ArcMap by algebraic and trigonometric operations using the contour lines to obtain the terrain's inclination degree.…”

Section: Slope Mapmentioning

confidence: 99%

“…Geomorphological maps are basic inputs for terrain understanding and serve as the starting point of specific applications such as landslide hazard and risk assessment linked to mass movement processes (Alcalá- Reygosa et al, 2016;Devoto et al, 2012;Echeverría Arnedo, 1997;Loibl & Lehmkuhl, 2013;Quesada-Román & Zamorano-Orozco, 2019a;Tripodo et al, 2012). Our work presents a detailed geomorphological map of the El Estribo volcanic complex ( Figure 1)a regionally important tourist destination inhabited by more than 7900 people (INEGI, 2011).…”

Section: Introductionmentioning

confidence: 99%

Detailed geomorphology of debris avalanches of El Estribo volcanic complex (Central Mexico)

et al. 2020

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The El Estribo Volcanic Complex, located to the south of Pátzcuaro Lake (Central Mexico), forms an elevation based on a shield volcano crowned by a cinder cone. Two debris avalanches, dated at 28,000 and 14,000 ybp, cover an area of 4 km 2 with a typical hummocky topography. The zone is a state natural protected area with no previous studies of hazard and risk from mass movement processes. Herein, we present a detailed geomorphological map of the debrisavalanche area, scale 1:20,000. The approach applied used two hierarchical levels, geomorphological landscapes and landforms. The fault scarp was mapped using highresolution digital elevation models obtained whit unmanned aerial vehicles (UAV) survey. We describe and characterized four main geomorphological units, 20 subunits, 66 hummocks, and the general drainage network. This map is a valuable tool to identify and quantify risks from mass movement processes.

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Geomorphology of the Upper General River Basin, Costa Rica

Cited by 29 publications

References 23 publications

Tropical glacier reconstructions during the Last Glacial Maximum in Costa Rica

Tropical glacier reconstructions during the Last Glacial Maximum in Costa Rica

A novel approach to the classification of terrestrial drainage networks based on deep learning and preliminary results on solar system bodies

Detailed geomorphology of debris avalanches of El Estribo volcanic complex (Central Mexico)

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