The application of remote sensing to seagrass ecosystems: an overview and future research prospects

This review evaluates various methods employed to produce seagrass habitat maps using optical and acoustic remote-sensing (RS) techniques coupled with in situ sampling to highlight recent advances and to define areas where potential future research should be focused in the application of RS technolo...

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Main Authors: Hossain, Mohammad Shawkat, Bujang, Japar Sidik, Zakaria @ Ya, Muta Harah, Hashim, Mazlan
Format: Article
Language:English
Published: Taylor & Francis 2015
Online Access:http://psasir.upm.edu.my/id/eprint/35626/1/The%20application%20of%20remote%20sensing%20to%20seagrass%20ecosystems%20an%20overview%20and%20future%20research%20prospects.pdf
http://psasir.upm.edu.my/id/eprint/35626/
http://www.tandfonline.com/doi/abs/10.1080/01431161.2014.990649
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spelling my.upm.eprints.356262017-03-28T14:26:38Z http://psasir.upm.edu.my/id/eprint/35626/ The application of remote sensing to seagrass ecosystems: an overview and future research prospects Hossain, Mohammad Shawkat Bujang, Japar Sidik Zakaria @ Ya, Muta Harah Hashim, Mazlan This review evaluates various methods employed to produce seagrass habitat maps using optical and acoustic remote-sensing (RS) techniques coupled with in situ sampling to highlight recent advances and to define areas where potential future research should be focused in the application of RS technologies. A critical review of 195 studies revealed that, in the past four decades, advances in the application of RS methods, notably using Landsat imagery, are identified for seagrass detection, assessment of areal coverage, distribution and abundance mapping, and the detection of extent and biomass changes, as illustrated in peer-reviewed literature. Rapid technological and methodological advances have occurred in the acquisition and interpretation of optical and acoustic data for the mapping of seagrass habitats. The methods have been tested to segment, classify, and combine RS data with biological field or ground truth sample data. There is no single technology or approach that is suitable for and capable of measuring all seagrass parameters (presence/absence, cover, species, and biomass) and assessing change. Integration of field, imagery, and mapping approaches is therefore required. Further research is required for continued improvements in understanding of theoretical and methodological aspects of seagrass RS. Taylor & Francis 2015 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/35626/1/The%20application%20of%20remote%20sensing%20to%20seagrass%20ecosystems%20an%20overview%20and%20future%20research%20prospects.pdf Hossain, Mohammad Shawkat and Bujang, Japar Sidik and Zakaria @ Ya, Muta Harah and Hashim, Mazlan (2015) The application of remote sensing to seagrass ecosystems: an overview and future research prospects. International Journal of Remote Sensing, 36 (1). pp. 61-114. ISSN 0143-1161; ESSN: 1366-5901 http://www.tandfonline.com/doi/abs/10.1080/01431161.2014.990649 10.1080/01431161.2014.990649
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description This review evaluates various methods employed to produce seagrass habitat maps using optical and acoustic remote-sensing (RS) techniques coupled with in situ sampling to highlight recent advances and to define areas where potential future research should be focused in the application of RS technologies. A critical review of 195 studies revealed that, in the past four decades, advances in the application of RS methods, notably using Landsat imagery, are identified for seagrass detection, assessment of areal coverage, distribution and abundance mapping, and the detection of extent and biomass changes, as illustrated in peer-reviewed literature. Rapid technological and methodological advances have occurred in the acquisition and interpretation of optical and acoustic data for the mapping of seagrass habitats. The methods have been tested to segment, classify, and combine RS data with biological field or ground truth sample data. There is no single technology or approach that is suitable for and capable of measuring all seagrass parameters (presence/absence, cover, species, and biomass) and assessing change. Integration of field, imagery, and mapping approaches is therefore required. Further research is required for continued improvements in understanding of theoretical and methodological aspects of seagrass RS.
format Article
author Hossain, Mohammad Shawkat
Bujang, Japar Sidik
Zakaria @ Ya, Muta Harah
Hashim, Mazlan
spellingShingle Hossain, Mohammad Shawkat
Bujang, Japar Sidik
Zakaria @ Ya, Muta Harah
Hashim, Mazlan
The application of remote sensing to seagrass ecosystems: an overview and future research prospects
author_facet Hossain, Mohammad Shawkat
Bujang, Japar Sidik
Zakaria @ Ya, Muta Harah
Hashim, Mazlan
author_sort Hossain, Mohammad Shawkat
title The application of remote sensing to seagrass ecosystems: an overview and future research prospects
title_short The application of remote sensing to seagrass ecosystems: an overview and future research prospects
title_full The application of remote sensing to seagrass ecosystems: an overview and future research prospects
title_fullStr The application of remote sensing to seagrass ecosystems: an overview and future research prospects
title_full_unstemmed The application of remote sensing to seagrass ecosystems: an overview and future research prospects
title_sort application of remote sensing to seagrass ecosystems: an overview and future research prospects
publisher Taylor & Francis
publishDate 2015
url http://psasir.upm.edu.my/id/eprint/35626/1/The%20application%20of%20remote%20sensing%20to%20seagrass%20ecosystems%20an%20overview%20and%20future%20research%20prospects.pdf
http://psasir.upm.edu.my/id/eprint/35626/
http://www.tandfonline.com/doi/abs/10.1080/01431161.2014.990649
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