Detailed Lacustrine Calving Iceberg Inventory from Very High Resolution Optical Imagery and Object-Based Image Analysis

In the field of iceberg and glacier calving studies, it is important to collect comprehensive datasets of populations of icebergs. Particularly, calving of lake-terminating glaciers has been understudied. The aim of this work is to present an object-based method of iceberg detection and to create an...

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Published in:Remote Sensing
Main Authors: Julian Podgórski, Michał Pętlicki
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2020
Subjects:
Online Access:https://doi.org/10.3390/rs12111807
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spelling ftmdpi:oai:mdpi.com:/2072-4292/12/11/1807/ 2023-08-20T04:10:09+02:00 Detailed Lacustrine Calving Iceberg Inventory from Very High Resolution Optical Imagery and Object-Based Image Analysis Julian Podgórski Michał Pętlicki agris 2020-06-03 application/pdf https://doi.org/10.3390/rs12111807 EN eng Multidisciplinary Digital Publishing Institute https://dx.doi.org/10.3390/rs12111807 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 12; Issue 11; Pages: 1807 object-based image analysis WorldView-2 glacier calving lacustrine calving Northern Patagonia Icefield iceberg power law random forest Text 2020 ftmdpi https://doi.org/10.3390/rs12111807 2023-07-31T23:35:22Z In the field of iceberg and glacier calving studies, it is important to collect comprehensive datasets of populations of icebergs. Particularly, calving of lake-terminating glaciers has been understudied. The aim of this work is to present an object-based method of iceberg detection and to create an inventory of icebergs located in a proglacial lagoon of San Quintín glacier, Northern Patagonia Icefield, Chile. This dataset is created using high-resolution WorldView-2 imagery and a derived DEM. We use it to briefly discuss the iceberg size distribution and area–volume scaling. Segmentation of the multispectral imagery produced a map of objects, which were classified with use of Random Forest supervised classification algorithm. An intermediate classification product was corrected with a ruleset exploiting contextual information and a watershed algorithm that was used to divide multiple touching icebergs into separate objects. Common theoretical heavy-tail statistical distributions were tested as descriptors of iceberg area and volume distributions. Power law models were proposed for the area–volume relationship. The proposed method performed well over the open lake detecting correctly icebergs in all size bands except 5–15 m2 where many icebergs were missed. A section of the lagoon with ice melange was not reliably mapped due to uniformity of the area in the imagery and DEM. The precision of the DEM limited the scaling effort to icebergs taller than 1.7 m and larger than 99 m2, despite the inventory containing icebergs as small as 4 m2. The work demonstrates viability of object-based analysis for lacustrine iceberg detection and shows that the statistical properties of iceberg population at San Quintín glacier match those of populations produced by tidewater glaciers. Text Tidewater MDPI Open Access Publishing Patagonia Remote Sensing 12 11 1807
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic object-based image analysis
WorldView-2
glacier calving
lacustrine calving
Northern Patagonia Icefield
iceberg
power law
random forest
spellingShingle object-based image analysis
WorldView-2
glacier calving
lacustrine calving
Northern Patagonia Icefield
iceberg
power law
random forest
Julian Podgórski
Michał Pętlicki
Detailed Lacustrine Calving Iceberg Inventory from Very High Resolution Optical Imagery and Object-Based Image Analysis
topic_facet object-based image analysis
WorldView-2
glacier calving
lacustrine calving
Northern Patagonia Icefield
iceberg
power law
random forest
description In the field of iceberg and glacier calving studies, it is important to collect comprehensive datasets of populations of icebergs. Particularly, calving of lake-terminating glaciers has been understudied. The aim of this work is to present an object-based method of iceberg detection and to create an inventory of icebergs located in a proglacial lagoon of San Quintín glacier, Northern Patagonia Icefield, Chile. This dataset is created using high-resolution WorldView-2 imagery and a derived DEM. We use it to briefly discuss the iceberg size distribution and area–volume scaling. Segmentation of the multispectral imagery produced a map of objects, which were classified with use of Random Forest supervised classification algorithm. An intermediate classification product was corrected with a ruleset exploiting contextual information and a watershed algorithm that was used to divide multiple touching icebergs into separate objects. Common theoretical heavy-tail statistical distributions were tested as descriptors of iceberg area and volume distributions. Power law models were proposed for the area–volume relationship. The proposed method performed well over the open lake detecting correctly icebergs in all size bands except 5–15 m2 where many icebergs were missed. A section of the lagoon with ice melange was not reliably mapped due to uniformity of the area in the imagery and DEM. The precision of the DEM limited the scaling effort to icebergs taller than 1.7 m and larger than 99 m2, despite the inventory containing icebergs as small as 4 m2. The work demonstrates viability of object-based analysis for lacustrine iceberg detection and shows that the statistical properties of iceberg population at San Quintín glacier match those of populations produced by tidewater glaciers.
format Text
author Julian Podgórski
Michał Pętlicki
author_facet Julian Podgórski
Michał Pętlicki
author_sort Julian Podgórski
title Detailed Lacustrine Calving Iceberg Inventory from Very High Resolution Optical Imagery and Object-Based Image Analysis
title_short Detailed Lacustrine Calving Iceberg Inventory from Very High Resolution Optical Imagery and Object-Based Image Analysis
title_full Detailed Lacustrine Calving Iceberg Inventory from Very High Resolution Optical Imagery and Object-Based Image Analysis
title_fullStr Detailed Lacustrine Calving Iceberg Inventory from Very High Resolution Optical Imagery and Object-Based Image Analysis
title_full_unstemmed Detailed Lacustrine Calving Iceberg Inventory from Very High Resolution Optical Imagery and Object-Based Image Analysis
title_sort detailed lacustrine calving iceberg inventory from very high resolution optical imagery and object-based image analysis
publisher Multidisciplinary Digital Publishing Institute
publishDate 2020
url https://doi.org/10.3390/rs12111807
op_coverage agris
geographic Patagonia
geographic_facet Patagonia
genre Tidewater
genre_facet Tidewater
op_source Remote Sensing; Volume 12; Issue 11; Pages: 1807
op_relation https://dx.doi.org/10.3390/rs12111807
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/rs12111807
container_title Remote Sensing
container_volume 12
container_issue 11
container_start_page 1807
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