Detection and Delineation of Sorted Stone Circles in Antarctica

Sorted stone circles are natural surface patterns formed in periglacial environments. Their relation to permafrost conditions make them very helpful for better understanding the past climates where they were formed and have evolved and also for monitoring current underlying processes in case circles...

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Main Authors: Francisco Pereira, Jorge S. Marques, Sandra Heleno, Pedro Pina
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Remote Sensing
Subjects:
uav
dem
Online Access:https://www.mdpi.com/2072-4292/12/1/160
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spelling doaj-438c9cab72da4ca69014f1dbe6018d7b2020-11-25T00:33:36ZengMDPI AGRemote Sensing2072-42922020-01-0112116010.3390/rs12010160rs12010160Detection and Delineation of Sorted Stone Circles in AntarcticaFrancisco Pereira0Jorge S. Marques1Sandra Heleno2Pedro Pina3ISR, Instituto Superior Técnico, Universidade de Lisboa, 1000-001 Lisbon, PortugalISR, Instituto Superior Técnico, Universidade de Lisboa, 1000-001 Lisbon, PortugalCERENA, Instituto Superior Técnico, Universidade de Lisboa, 1000-001 Lisbon, PortugalCERENA, Instituto Superior Técnico, Universidade de Lisboa, 1000-001 Lisbon, PortugalSorted stone circles are natural surface patterns formed in periglacial environments. Their relation to permafrost conditions make them very helpful for better understanding the past climates where they were formed and have evolved and also for monitoring current underlying processes in case circles are active. These metric scale patterns that occur in clusters of tens to thousands of circular elements, can be more comprehensively characterized if automated methods are used. This paper addresses their identification and delineation through the development and testing of a set of automated approaches, namely, template matching, sliding band filter, and dynamic programming. All of these methods take advantage of the 3D shape of the structures conveyed by digital elevation models (DEM), built from ultra-high resolution imagery captured by unmanned aerial vehicles (UAV) surveys developed in Barton Peninsula, King George Island, Antarctica (62°S). The best detection results achieve scores above 85%, while the delineations are performed with errors as low as 7%.https://www.mdpi.com/2072-4292/12/1/160patterned groundpermafrostuavdemtemplate matchingsliding band filterdynamic programmingbarton peninsulaantarctica
collection DOAJ
language English
format Article
sources DOAJ
author Francisco Pereira
Jorge S. Marques
Sandra Heleno
Pedro Pina
spellingShingle Francisco Pereira
Jorge S. Marques
Sandra Heleno
Pedro Pina
Detection and Delineation of Sorted Stone Circles in Antarctica
Remote Sensing
patterned ground
permafrost
uav
dem
template matching
sliding band filter
dynamic programming
barton peninsula
antarctica
author_facet Francisco Pereira
Jorge S. Marques
Sandra Heleno
Pedro Pina
author_sort Francisco Pereira
title Detection and Delineation of Sorted Stone Circles in Antarctica
title_short Detection and Delineation of Sorted Stone Circles in Antarctica
title_full Detection and Delineation of Sorted Stone Circles in Antarctica
title_fullStr Detection and Delineation of Sorted Stone Circles in Antarctica
title_full_unstemmed Detection and Delineation of Sorted Stone Circles in Antarctica
title_sort detection and delineation of sorted stone circles in antarctica
publisher MDPI AG
series Remote Sensing
issn 2072-4292
publishDate 2020-01-01
description Sorted stone circles are natural surface patterns formed in periglacial environments. Their relation to permafrost conditions make them very helpful for better understanding the past climates where they were formed and have evolved and also for monitoring current underlying processes in case circles are active. These metric scale patterns that occur in clusters of tens to thousands of circular elements, can be more comprehensively characterized if automated methods are used. This paper addresses their identification and delineation through the development and testing of a set of automated approaches, namely, template matching, sliding band filter, and dynamic programming. All of these methods take advantage of the 3D shape of the structures conveyed by digital elevation models (DEM), built from ultra-high resolution imagery captured by unmanned aerial vehicles (UAV) surveys developed in Barton Peninsula, King George Island, Antarctica (62°S). The best detection results achieve scores above 85%, while the delineations are performed with errors as low as 7%.
topic patterned ground
permafrost
uav
dem
template matching
sliding band filter
dynamic programming
barton peninsula
antarctica
url https://www.mdpi.com/2072-4292/12/1/160
work_keys_str_mv AT franciscopereira detectionanddelineationofsortedstonecirclesinantarctica
AT jorgesmarques detectionanddelineationofsortedstonecirclesinantarctica
AT sandraheleno detectionanddelineationofsortedstonecirclesinantarctica
AT pedropina detectionanddelineationofsortedstonecirclesinantarctica
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