SPATIO-TEMPORAL MAPPING AND ANALYSIS OF MANGROVE EXTENTS AROUND MANILA BAY USING LANDSAT SATELLITE IMAGERY AND MANGROVE VEGETATION INDEX (MVI)

Mangroves are considered one of the most undervalued ecosystems in the world. It provides shelter to a wide range of species and protection from natural hazards to coastal communities. The Philippines, being a country with long coastlines, benefits greatly from mangroves. Historically, it had 400,00...

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Auteurs principaux:	M. Conopio, A. B. Baloloy, J. Medina, A. C. Blanco
Format:	article
Langue:	EN
Publié:	Copernicus Publications 2021
Sujets:	Technology T Engineering (General). Civil engineering (General) TA1-2040 Applied optics. Photonics TA1501-1820
Accès en ligne:	https://doaj.org/article/3a3cb4be57174bf0a6bc22fd5b7f4ae3
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id	oai:doaj.org-article:3a3cb4be57174bf0a6bc22fd5b7f4ae3
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spelling	oai:doaj.org-article:3a3cb4be57174bf0a6bc22fd5b7f4ae32021-11-19T00:10:21ZSPATIO-TEMPORAL MAPPING AND ANALYSIS OF MANGROVE EXTENTS AROUND MANILA BAY USING LANDSAT SATELLITE IMAGERY AND MANGROVE VEGETATION INDEX (MVI)10.5194/isprs-archives-XLVI-4-W6-2021-103-20211682-17502194-9034https://doaj.org/article/3a3cb4be57174bf0a6bc22fd5b7f4ae32021-11-01T00:00:00Zhttps://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLVI-4-W6-2021/103/2021/isprs-archives-XLVI-4-W6-2021-103-2021.pdfhttps://doaj.org/toc/1682-1750https://doaj.org/toc/2194-9034Mangroves are considered one of the most undervalued ecosystems in the world. It provides shelter to a wide range of species and protection from natural hazards to coastal communities. The Philippines, being a country with long coastlines, benefits greatly from mangroves. Historically, it had 400,000–500,000 hectares of mangroves forest in 1920, which declined to 120,000 hectares in 1994 due to rapid industrialization, particularly the conversion of these forests into aquaculture such as fishponds Mangrove forest in the Philippines saw a rapid decline between 1920 and 1994 due to aquaculture conversion and land reclamation Mangrove Vegetation Index (MVI), an established mangrove detection algorithm, was applied on Landsat satellite images of Manila Bay to map the extent of the mangrove forest from 1990 to 2020. Thirteen time-series maps were produced. Area computation showed that the coastline of Bulacan had the most mangroves, while the coastline of Metro Manila had the least throughout the years.M. ConopioA. B. BaloloyJ. MedinaJ. MedinaA. C. BlancoA. C. BlancoCopernicus PublicationsarticleTechnologyTEngineering (General). Civil engineering (General)TA1-2040Applied optics. PhotonicsTA1501-1820ENThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVI-4-W6-2021, Pp 103-108 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Technology T Engineering (General). Civil engineering (General) TA1-2040 Applied optics. Photonics TA1501-1820
spellingShingle	Technology T Engineering (General). Civil engineering (General) TA1-2040 Applied optics. Photonics TA1501-1820 M. Conopio A. B. Baloloy J. Medina J. Medina A. C. Blanco A. C. Blanco SPATIO-TEMPORAL MAPPING AND ANALYSIS OF MANGROVE EXTENTS AROUND MANILA BAY USING LANDSAT SATELLITE IMAGERY AND MANGROVE VEGETATION INDEX (MVI)
description	Mangroves are considered one of the most undervalued ecosystems in the world. It provides shelter to a wide range of species and protection from natural hazards to coastal communities. The Philippines, being a country with long coastlines, benefits greatly from mangroves. Historically, it had 400,000–500,000 hectares of mangroves forest in 1920, which declined to 120,000 hectares in 1994 due to rapid industrialization, particularly the conversion of these forests into aquaculture such as fishponds Mangrove forest in the Philippines saw a rapid decline between 1920 and 1994 due to aquaculture conversion and land reclamation Mangrove Vegetation Index (MVI), an established mangrove detection algorithm, was applied on Landsat satellite images of Manila Bay to map the extent of the mangrove forest from 1990 to 2020. Thirteen time-series maps were produced. Area computation showed that the coastline of Bulacan had the most mangroves, while the coastline of Metro Manila had the least throughout the years.
format	article
author	M. Conopio A. B. Baloloy J. Medina J. Medina A. C. Blanco A. C. Blanco
author_facet	M. Conopio A. B. Baloloy J. Medina J. Medina A. C. Blanco A. C. Blanco
author_sort	M. Conopio
title	SPATIO-TEMPORAL MAPPING AND ANALYSIS OF MANGROVE EXTENTS AROUND MANILA BAY USING LANDSAT SATELLITE IMAGERY AND MANGROVE VEGETATION INDEX (MVI)
title_short	SPATIO-TEMPORAL MAPPING AND ANALYSIS OF MANGROVE EXTENTS AROUND MANILA BAY USING LANDSAT SATELLITE IMAGERY AND MANGROVE VEGETATION INDEX (MVI)
title_full	SPATIO-TEMPORAL MAPPING AND ANALYSIS OF MANGROVE EXTENTS AROUND MANILA BAY USING LANDSAT SATELLITE IMAGERY AND MANGROVE VEGETATION INDEX (MVI)
title_fullStr	SPATIO-TEMPORAL MAPPING AND ANALYSIS OF MANGROVE EXTENTS AROUND MANILA BAY USING LANDSAT SATELLITE IMAGERY AND MANGROVE VEGETATION INDEX (MVI)
title_full_unstemmed	SPATIO-TEMPORAL MAPPING AND ANALYSIS OF MANGROVE EXTENTS AROUND MANILA BAY USING LANDSAT SATELLITE IMAGERY AND MANGROVE VEGETATION INDEX (MVI)
title_sort	spatio-temporal mapping and analysis of mangrove extents around manila bay using landsat satellite imagery and mangrove vegetation index (mvi)
publisher	Copernicus Publications
publishDate	2021
url	https://doaj.org/article/3a3cb4be57174bf0a6bc22fd5b7f4ae3
work_keys_str_mv	AT mconopio spatiotemporalmappingandanalysisofmangroveextentsaroundmanilabayusinglandsatsatelliteimageryandmangrovevegetationindexmvi AT abbaloloy spatiotemporalmappingandanalysisofmangroveextentsaroundmanilabayusinglandsatsatelliteimageryandmangrovevegetationindexmvi AT jmedina spatiotemporalmappingandanalysisofmangroveextentsaroundmanilabayusinglandsatsatelliteimageryandmangrovevegetationindexmvi AT jmedina spatiotemporalmappingandanalysisofmangroveextentsaroundmanilabayusinglandsatsatelliteimageryandmangrovevegetationindexmvi AT acblanco spatiotemporalmappingandanalysisofmangroveextentsaroundmanilabayusinglandsatsatelliteimageryandmangrovevegetationindexmvi AT acblanco spatiotemporalmappingandanalysisofmangroveextentsaroundmanilabayusinglandsatsatelliteimageryandmangrovevegetationindexmvi
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SPATIO-TEMPORAL MAPPING AND ANALYSIS OF MANGROVE EXTENTS AROUND MANILA BAY USING LANDSAT SATELLITE IMAGERY AND MANGROVE VEGETATION INDEX (MVI)

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