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  6. Mapping Glacial Landforms on the Chiripó massif, Costa Rica, Based on Google Earth, a Digital Elevation Model, and Field Observations
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Mapping Glacial Landforms on the Chiripó massif, Costa Rica, Based on Google Earth, a Digital Elevation Model, and Field Observations

Source Publication
Revista Geológica de America Central
Date Issued
January 1, 2019
Author(s)
Li, Yingkui  
Tieche, Taylor
Horn, Sally P.
Li, Yanan  
Chen, Renrong
Orvis, Kenneth H.  
DOI
10.15517/RGAC.V2019I60.36465
Permanent URI
https://trace.tennessee.edu/handle/20.500.14382/18045
Abstract

The Chirripó massif in the Cordillera de Talamanca, Costa Rica, is one of a few sites in Central America that preserve evidence of past glaciation. We mapped glacial landforms in this area using Google Earth high-resolution imagery and a 30 m Shuttle Radar Topography Mission (SRTM) digital elevation model (DEM). Prior field observations, field notes, photographs, and landform maps were used to check and refine the delineated landform boundaries. The composited map includes lateral and terminal moraines, tills, glacial valleys, glacial lakes, nunataks, arêtes, and horns. Glacial extents during three proposed stages were mapped in the Valle de las Morrenas, a major north-facing valley on the massif, based on previous reconstructions. The mapped glacial features cover roughly 22.1 km2, representing the minimum extent of the rnaximum glaciation during the Last Glacial Maximum (LGM). This refined map provides an important dataset to help reconstruct Quaternary climate change in this tropical highland.

Subjects

Glacial landforms

Chirripó massif

Google Earth

SRTM DEM

Cordillera de Talaman...

Disciplines
Physical and Environmental Geography
Comments

Sally P. Horn is author for correspondence.

Recommended Citation
Li, Y., Tieche, T., Horn, S.P., Li, Y., Chen, R., and Orvis, K.H. 2019. Mapping Glacial Landforms on the Chiripó massif, Costa Rica, Based on Google Earth, a Digital Elevation Model, and Field Observations. Revista Geológica de America Central 60: 109–121. doi: 10.15517/rgac.v2019i60.36465
Submission Type
Publisher's Version
File(s)
Thumbnail Image
Name

Li_et_al._2019_RGAC.pdf

Size

11.97 MB

Format

Adobe PDF

Checksum (MD5)

3f8748a390bccdbf53b7ffa4c98b6532


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