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Multitemporal histogram matching - a new approach of moss and lichen change detection from landsat in datapoor antarctica environments

Mosses and lichens are important components of Antarctic ecosystems. Maps of these vegetation are needed to improve our understanding of ecosystem dynamics. This requires species distribution to be mapped repeatedly over time, a critical task that becomes extremely challenging in data-poor Antarctic...

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Main Authors: Hossain, Mohammad Shawkat, Hashim, Mazlan
Format: Article
Language:English
Published: Penerbit UTM Press 2020
Subjects:
NA Architecture
Online Access:http://eprints.utm.my/id/eprint/91597/1/MohammadShawkat2020_MultitemporalHistogramMatchinganewApproach.pdf
http://eprints.utm.my/id/eprint/91597/
http://dx.doi.org/10.11113/jt.v82.14701
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id my.utm.91597
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spelling my.utm.915972021-07-11T14:30:22Z http://eprints.utm.my/id/eprint/91597/ Multitemporal histogram matching - a new approach of moss and lichen change detection from landsat in datapoor antarctica environments Hossain, Mohammad Shawkat Hashim, Mazlan NA Architecture Mosses and lichens are important components of Antarctic ecosystems. Maps of these vegetation are needed to improve our understanding of ecosystem dynamics. This requires species distribution to be mapped repeatedly over time, a critical task that becomes extremely challenging in data-poor Antarctic regions, where the lack of field data, logistics, coupled with scarcity of cloud free, quality multitemporal Landsat imagery are major intrinsic constraints to time-series analysis for change detection. This study firstly analyzes the spectral curves of moss and lichen generated by field-based spectroradiometer and then proposes an innovative histogram matching technique where historical Landsat data is modified such that its histogram matches that of present (reference) dataset. This has made it possible to mapping multitemporal Landsat data in the Antarctic Peninsula. The results demonstrate an overall accuracy of 90.5%. Mapping of Arctic vegetation facilitated by histogram matching of Landsat image, according to the results, seems to be an advisable image processing technique for application in a data-poor context. Penerbit UTM Press 2020-09 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/91597/1/MohammadShawkat2020_MultitemporalHistogramMatchinganewApproach.pdf Hossain, Mohammad Shawkat and Hashim, Mazlan (2020) Multitemporal histogram matching - a new approach of moss and lichen change detection from landsat in datapoor antarctica environments. Jurnal Teknologi, 82 (5). pp. 165-171. ISSN 0127-9696 http://dx.doi.org/10.11113/jt.v82.14701 DOI:10.11113/jt.v82.14701
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic NA Architecture
spellingShingle NA Architecture
Hossain, Mohammad Shawkat
Hashim, Mazlan
Multitemporal histogram matching - a new approach of moss and lichen change detection from landsat in datapoor antarctica environments
description Mosses and lichens are important components of Antarctic ecosystems. Maps of these vegetation are needed to improve our understanding of ecosystem dynamics. This requires species distribution to be mapped repeatedly over time, a critical task that becomes extremely challenging in data-poor Antarctic regions, where the lack of field data, logistics, coupled with scarcity of cloud free, quality multitemporal Landsat imagery are major intrinsic constraints to time-series analysis for change detection. This study firstly analyzes the spectral curves of moss and lichen generated by field-based spectroradiometer and then proposes an innovative histogram matching technique where historical Landsat data is modified such that its histogram matches that of present (reference) dataset. This has made it possible to mapping multitemporal Landsat data in the Antarctic Peninsula. The results demonstrate an overall accuracy of 90.5%. Mapping of Arctic vegetation facilitated by histogram matching of Landsat image, according to the results, seems to be an advisable image processing technique for application in a data-poor context.
format Article
author Hossain, Mohammad Shawkat
Hashim, Mazlan
author_facet Hossain, Mohammad Shawkat
Hashim, Mazlan
author_sort Hossain, Mohammad Shawkat
title Multitemporal histogram matching - a new approach of moss and lichen change detection from landsat in datapoor antarctica environments
title_short Multitemporal histogram matching - a new approach of moss and lichen change detection from landsat in datapoor antarctica environments
title_full Multitemporal histogram matching - a new approach of moss and lichen change detection from landsat in datapoor antarctica environments
title_fullStr Multitemporal histogram matching - a new approach of moss and lichen change detection from landsat in datapoor antarctica environments
title_full_unstemmed Multitemporal histogram matching - a new approach of moss and lichen change detection from landsat in datapoor antarctica environments
title_sort multitemporal histogram matching - a new approach of moss and lichen change detection from landsat in datapoor antarctica environments
publisher Penerbit UTM Press
publishDate 2020
url http://eprints.utm.my/id/eprint/91597/1/MohammadShawkat2020_MultitemporalHistogramMatchinganewApproach.pdf
http://eprints.utm.my/id/eprint/91597/
http://dx.doi.org/10.11113/jt.v82.14701
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score 13.211869

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