Integration of normalised different vegetation index and Soil-Adjusted Vegetation Index for mangrove vegetation delineation

Discriminating between vegetation and non-vegetation areas is of crucial importance in the study of mangroves. This will help mangrove monitoring and management since losses and degradation of the mangroves are reported to be substantial in recent years. This study investigates the integration of No...

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Main Authors: Parman, Rhyma Purnamasayangsukasih, Kamarudin, Norizah, Omar, Hamdan, Ibrahim, Faridah Hanum, Abdul Whab @ Abdul Wahab, Zulfa
Format: Article
Language:English
Published: Elsevier 2020
Online Access:http://psasir.upm.edu.my/id/eprint/89417/1/VEGE.pdf
http://psasir.upm.edu.my/id/eprint/89417/
https://www.sciencedirect.com/science/article/pii/S2352938519301661
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spelling my.upm.eprints.894172021-08-18T09:33:27Z http://psasir.upm.edu.my/id/eprint/89417/ Integration of normalised different vegetation index and Soil-Adjusted Vegetation Index for mangrove vegetation delineation Parman, Rhyma Purnamasayangsukasih Kamarudin, Norizah Omar, Hamdan Ibrahim, Faridah Hanum Abdul Whab @ Abdul Wahab, Zulfa Discriminating between vegetation and non-vegetation areas is of crucial importance in the study of mangroves. This will help mangrove monitoring and management since losses and degradation of the mangroves are reported to be substantial in recent years. This study investigates the integration of Normalised Difference Vegetation Index (NDVI) and Soil-Adjusted Vegetation Index (SAVI) as a tool to discriminate vegetation covers in the mangrove forest. High resolution remotely sensed images from Satellite Pour l’Observation de la Terre (SPOT-6 and SPOT-7) satellite, with 1.5 m spatial resolution over the Matang Mangrove Forest Reserve (MMFR) was acquired. A complete ground-truthing was conducted at the preliminary stages of land cover classification. A Moran's I analysis shows a random pattern of ground-truthing; (Kuala Sepetang; p-value = 0.219; Kuala Trong, p-value = 0.163; Sungai Kerang, p-value = 0.159). Since SAVI requires a suitable L-factor to be used to distinguish the vegetation areas, four different L-factors viz. 0.1, 0.25, 0.5 and 0.75 were tested, and the multiple linear regressions, using the stepwise regression method of backward elimination, found that the L-factor 0.75 was significant to be used for MMFR. A correlation analysis conducted between the results of NDVI, SAVI and supervised classification shows a high significant relationship, especially between NDVI and SAVI (0.991) at 99.99% level. This shows that NDVI and SAVI are useful analyses that can be employed to improve the accuracy of classification in the mangroves. Elsevier 2020 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/89417/1/VEGE.pdf Parman, Rhyma Purnamasayangsukasih and Kamarudin, Norizah and Omar, Hamdan and Ibrahim, Faridah Hanum and Abdul Whab @ Abdul Wahab, Zulfa (2020) Integration of normalised different vegetation index and Soil-Adjusted Vegetation Index for mangrove vegetation delineation. Remote Sensing Applications: Society and Environment, 17. pp. 1-14. ISSN 2352-9385 https://www.sciencedirect.com/science/article/pii/S2352938519301661 10.1016/j.rsase.2019.100280
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 Discriminating between vegetation and non-vegetation areas is of crucial importance in the study of mangroves. This will help mangrove monitoring and management since losses and degradation of the mangroves are reported to be substantial in recent years. This study investigates the integration of Normalised Difference Vegetation Index (NDVI) and Soil-Adjusted Vegetation Index (SAVI) as a tool to discriminate vegetation covers in the mangrove forest. High resolution remotely sensed images from Satellite Pour l’Observation de la Terre (SPOT-6 and SPOT-7) satellite, with 1.5 m spatial resolution over the Matang Mangrove Forest Reserve (MMFR) was acquired. A complete ground-truthing was conducted at the preliminary stages of land cover classification. A Moran's I analysis shows a random pattern of ground-truthing; (Kuala Sepetang; p-value = 0.219; Kuala Trong, p-value = 0.163; Sungai Kerang, p-value = 0.159). Since SAVI requires a suitable L-factor to be used to distinguish the vegetation areas, four different L-factors viz. 0.1, 0.25, 0.5 and 0.75 were tested, and the multiple linear regressions, using the stepwise regression method of backward elimination, found that the L-factor 0.75 was significant to be used for MMFR. A correlation analysis conducted between the results of NDVI, SAVI and supervised classification shows a high significant relationship, especially between NDVI and SAVI (0.991) at 99.99% level. This shows that NDVI and SAVI are useful analyses that can be employed to improve the accuracy of classification in the mangroves.
format Article
author Parman, Rhyma Purnamasayangsukasih
Kamarudin, Norizah
Omar, Hamdan
Ibrahim, Faridah Hanum
Abdul Whab @ Abdul Wahab, Zulfa
spellingShingle Parman, Rhyma Purnamasayangsukasih
Kamarudin, Norizah
Omar, Hamdan
Ibrahim, Faridah Hanum
Abdul Whab @ Abdul Wahab, Zulfa
Integration of normalised different vegetation index and Soil-Adjusted Vegetation Index for mangrove vegetation delineation
author_facet Parman, Rhyma Purnamasayangsukasih
Kamarudin, Norizah
Omar, Hamdan
Ibrahim, Faridah Hanum
Abdul Whab @ Abdul Wahab, Zulfa
author_sort Parman, Rhyma Purnamasayangsukasih
title Integration of normalised different vegetation index and Soil-Adjusted Vegetation Index for mangrove vegetation delineation
title_short Integration of normalised different vegetation index and Soil-Adjusted Vegetation Index for mangrove vegetation delineation
title_full Integration of normalised different vegetation index and Soil-Adjusted Vegetation Index for mangrove vegetation delineation
title_fullStr Integration of normalised different vegetation index and Soil-Adjusted Vegetation Index for mangrove vegetation delineation
title_full_unstemmed Integration of normalised different vegetation index and Soil-Adjusted Vegetation Index for mangrove vegetation delineation
title_sort integration of normalised different vegetation index and soil-adjusted vegetation index for mangrove vegetation delineation
publisher Elsevier
publishDate 2020
url http://psasir.upm.edu.my/id/eprint/89417/1/VEGE.pdf
http://psasir.upm.edu.my/id/eprint/89417/
https://www.sciencedirect.com/science/article/pii/S2352938519301661
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score 13.188404