Impact of Image-Processing Routines on Mapping Glacier Surface Facies from Svalbard and the Himalayas Using Pixel-Based Methods
Glacier surface facies are valuable indicators of changes experienced by a glacial system. The interplay of accumulation and ablation facies, followed by intermixing with dust and debris, as well as the local climate, all induce observable and mappable changes on the supraglacial terrain. In the abs...
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ftmdpi:oai:mdpi.com:/2072-4292/14/6/1414/ 2023-08-20T04:06:44+02:00 Impact of Image-Processing Routines on Mapping Glacier Surface Facies from Svalbard and the Himalayas Using Pixel-Based Methods Shridhar D. Jawak Sagar F. Wankhede Alvarinho J. Luis Keshava Balakrishna agris 2022-03-15 application/pdf https://doi.org/10.3390/rs14061414 EN eng Multidisciplinary Digital Publishing Institute Remote Sensing and Geo-Spatial Science https://dx.doi.org/10.3390/rs14061414 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 14; Issue 6; Pages: 1414 glacier facies atmospheric correction pansharpening WorldView-2 Ny-Ålesund Chandra–Bhaga basin target detection supervised classification Text 2022 ftmdpi https://doi.org/10.3390/rs14061414 2023-08-01T04:27:49Z Glacier surface facies are valuable indicators of changes experienced by a glacial system. The interplay of accumulation and ablation facies, followed by intermixing with dust and debris, as well as the local climate, all induce observable and mappable changes on the supraglacial terrain. In the absence or lag of continuous field monitoring, remote sensing observations become vital for maintaining a constant supply of measurable data. However, remote satellite observations suffer from atmospheric effects, resolution disparity, and use of a multitude of mapping methods. Efficient image-processing routines are, hence, necessary to prepare and test the derivable data for mapping applications. The existing literature provides an application-centric view for selection of image processing schemes. This can create confusion, as it is not clear which method of atmospheric correction would be ideal for retrieving facies spectral reflectance, nor are the effects of pansharpening examined on facies. Moreover, with a variety of supervised classifiers and target detection methods now available, it is prudent to test the impact of variations in processing schemes on the resultant thematic classifications. In this context, the current study set its experimental goals. Using very-high-resolution (VHR) WorldView-2 data, we aimed to test the effects of three common atmospheric correction methods, viz. Dark Object Subtraction (DOS), Quick Atmospheric Correction (QUAC), and Fast Line-of-Sight Atmospheric Analysis of Hypercubes (FLAASH); and two pansharpening methods, viz. Gram–Schmidt (GS) and Hyperspherical Color Sharpening (HCS), on thematic classification of facies using 12 supervised classifiers. The conventional classifiers included: Mahalanobis Distance (MHD), Maximum Likelihood (MXL), Minimum Distance to Mean (MD), Spectral Angle Mapper (SAM), and Winner Takes All (WTA). The advanced/target detection classifiers consisted of: Adaptive Coherence Estimator (ACE), Constrained Energy Minimization (CEM), Matched Filtering (MF), ... Text glacier Ny Ålesund Ny-Ålesund Svalbard MDPI Open Access Publishing Svalbard Ny-Ålesund Remote Sensing 14 6 1414 |
institution |
Open Polar |
collection |
MDPI Open Access Publishing |
op_collection_id |
ftmdpi |
language |
English |
topic |
glacier facies atmospheric correction pansharpening WorldView-2 Ny-Ålesund Chandra–Bhaga basin target detection supervised classification |
spellingShingle |
glacier facies atmospheric correction pansharpening WorldView-2 Ny-Ålesund Chandra–Bhaga basin target detection supervised classification Shridhar D. Jawak Sagar F. Wankhede Alvarinho J. Luis Keshava Balakrishna Impact of Image-Processing Routines on Mapping Glacier Surface Facies from Svalbard and the Himalayas Using Pixel-Based Methods |
topic_facet |
glacier facies atmospheric correction pansharpening WorldView-2 Ny-Ålesund Chandra–Bhaga basin target detection supervised classification |
description |
Glacier surface facies are valuable indicators of changes experienced by a glacial system. The interplay of accumulation and ablation facies, followed by intermixing with dust and debris, as well as the local climate, all induce observable and mappable changes on the supraglacial terrain. In the absence or lag of continuous field monitoring, remote sensing observations become vital for maintaining a constant supply of measurable data. However, remote satellite observations suffer from atmospheric effects, resolution disparity, and use of a multitude of mapping methods. Efficient image-processing routines are, hence, necessary to prepare and test the derivable data for mapping applications. The existing literature provides an application-centric view for selection of image processing schemes. This can create confusion, as it is not clear which method of atmospheric correction would be ideal for retrieving facies spectral reflectance, nor are the effects of pansharpening examined on facies. Moreover, with a variety of supervised classifiers and target detection methods now available, it is prudent to test the impact of variations in processing schemes on the resultant thematic classifications. In this context, the current study set its experimental goals. Using very-high-resolution (VHR) WorldView-2 data, we aimed to test the effects of three common atmospheric correction methods, viz. Dark Object Subtraction (DOS), Quick Atmospheric Correction (QUAC), and Fast Line-of-Sight Atmospheric Analysis of Hypercubes (FLAASH); and two pansharpening methods, viz. Gram–Schmidt (GS) and Hyperspherical Color Sharpening (HCS), on thematic classification of facies using 12 supervised classifiers. The conventional classifiers included: Mahalanobis Distance (MHD), Maximum Likelihood (MXL), Minimum Distance to Mean (MD), Spectral Angle Mapper (SAM), and Winner Takes All (WTA). The advanced/target detection classifiers consisted of: Adaptive Coherence Estimator (ACE), Constrained Energy Minimization (CEM), Matched Filtering (MF), ... |
format |
Text |
author |
Shridhar D. Jawak Sagar F. Wankhede Alvarinho J. Luis Keshava Balakrishna |
author_facet |
Shridhar D. Jawak Sagar F. Wankhede Alvarinho J. Luis Keshava Balakrishna |
author_sort |
Shridhar D. Jawak |
title |
Impact of Image-Processing Routines on Mapping Glacier Surface Facies from Svalbard and the Himalayas Using Pixel-Based Methods |
title_short |
Impact of Image-Processing Routines on Mapping Glacier Surface Facies from Svalbard and the Himalayas Using Pixel-Based Methods |
title_full |
Impact of Image-Processing Routines on Mapping Glacier Surface Facies from Svalbard and the Himalayas Using Pixel-Based Methods |
title_fullStr |
Impact of Image-Processing Routines on Mapping Glacier Surface Facies from Svalbard and the Himalayas Using Pixel-Based Methods |
title_full_unstemmed |
Impact of Image-Processing Routines on Mapping Glacier Surface Facies from Svalbard and the Himalayas Using Pixel-Based Methods |
title_sort |
impact of image-processing routines on mapping glacier surface facies from svalbard and the himalayas using pixel-based methods |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2022 |
url |
https://doi.org/10.3390/rs14061414 |
op_coverage |
agris |
geographic |
Svalbard Ny-Ålesund |
geographic_facet |
Svalbard Ny-Ålesund |
genre |
glacier Ny Ålesund Ny-Ålesund Svalbard |
genre_facet |
glacier Ny Ålesund Ny-Ålesund Svalbard |
op_source |
Remote Sensing; Volume 14; Issue 6; Pages: 1414 |
op_relation |
Remote Sensing and Geo-Spatial Science https://dx.doi.org/10.3390/rs14061414 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/rs14061414 |
container_title |
Remote Sensing |
container_volume |
14 |
container_issue |
6 |
container_start_page |
1414 |
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1774718010739654656 |