↓ Skip to main content

High-resolution topography for Digital Terrain Model (DTM) in Keller Peninsula, Maritime Antarctica

Overview of attention for article published in Anais da Academia Brasileira de Ciências, August 2018
Altmetric Badge

Mentioned by

twitter
3 X users
facebook
1 Facebook page

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
21 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
High-resolution topography for Digital Terrain Model (DTM) in Keller Peninsula, Maritime Antarctica
Published in
Anais da Academia Brasileira de Ciências, August 2018
DOI 10.1590/0001-3765201820170296
Pubmed ID
Authors

Adriano L Schünemann, Pedro Henrique A Almeida, André Thomazini, Elpídio I Fernandes Filho, Márcio R Francelino, Carlos E G R Schaefer, Antonio Batista Pereira

Abstract

High resolution topography (HRT) surveys is an important tool to model landscapes, especially in zones subjected to strong environmental changes, such as Antarctica, where landform is highly influenced by cryoclasty and permafrost melting. The aim of this work was to obtain a high accurate DTM for Keller Peninsula, Maritime Antarctica. The survey study was assessed in the 2014/2015 and 2015/2016 during the austral summer, by using Terrestrial Laser Scanner (TLS). In order to cover 8 km² of the Peninsula, the TLS equipment was installed in 81 different points. Results of the DTM generated by TLS (hereafter, HRT-DTM), and the terrain variables Aspect, Slope and Hillshade obtained were compared with previous models generated by aerophotographic survey (hereafter, APG-DTM). RMSE for the HRT and APG-DTM were 0.726 and 2.397 m, respectively. Spatial resolution of the DTMs was 0.20 m. Morphometric variables obtained from the two methods presented visual differences on the thematic maps, especially related to the Aspect. Generalization was the main process, whereas interpolation occurred for the HRT survey, being the process of choice for the APG method. A large number of points are obtained by the TLS, providing a dense cloud of points, spatially well-distributed, enabling the generalization process to obtain surface models with high performance.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 14%
Professor 3 14%
Student > Bachelor 3 14%
Student > Postgraduate 2 10%
Student > Ph. D. Student 2 10%
Other 5 24%
Unknown 3 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 24%
Earth and Planetary Sciences 4 19%
Unspecified 1 5%
Immunology and Microbiology 1 5%
Environmental Science 1 5%
Other 2 10%
Unknown 7 33%