ASSESSMENT OF MANGROVE FOREST DEGRADATION THROUGH CANOPY FRACTIONAL COVER IN KARIMUNJAWA ISLAND, CENTRAL JAVA, INDONESIA

The Karimunjawa Islands mangrove forest has been subjected to various direct and indirect human disturbances in the recent years. If not properly managed, this disturbance will lead to the degradation of mangrove habitat health. Assessing forest canopy fractional cover (fc) using remote sensing data...

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Main Authors: Muhammad Kamal, Hartono Hartono, Pramaditya Wicaksono, Novi Susetyo Adi, Sanjiwana Arjasakusuma
Format: Article
Language:English
Published: Diponegoro University 2016-10-01
Series:Geoplanning: Journal of Geomatics and Planning
Subjects:
Online Access:http://ejournal.undip.ac.id/index.php/geoplanning/article/view/11884
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author Muhammad Kamal
Hartono Hartono
Pramaditya Wicaksono
Novi Susetyo Adi
Sanjiwana Arjasakusuma
author_facet Muhammad Kamal
Hartono Hartono
Pramaditya Wicaksono
Novi Susetyo Adi
Sanjiwana Arjasakusuma
author_sort Muhammad Kamal
collection DOAJ
description The Karimunjawa Islands mangrove forest has been subjected to various direct and indirect human disturbances in the recent years. If not properly managed, this disturbance will lead to the degradation of mangrove habitat health. Assessing forest canopy fractional cover (fc) using remote sensing data is one way of measuring mangrove forest degradation. This study aims to (1) estimate the forest canopy fc using a semi-empirical method, (2) assess the accuracy of the fc estimation and (3) create mangrove forest degradation from the canopy fc results. A sample set of in-situ fc was collected using the hemispherical camera for model development and accuracy assessment purposes. We developed semi-empirical relationship models between pixel values of ALOS AVNIR-2 image (10m pixel size) and field fc, using Enhanced Vegetation Index (EVI) as a proxy of the image spectral response. The results show that the EVI provides reasonable estimation accuracy of mangrove canopy fc in Karimunjawa Island with the values ranged from 0.17 to 0.96 (n = 69). The low fc values correspond to vegetation opening and gaps caused by human activities or mangrove dieback. The high fc values correspond to the healthy and dense mangrove stands, especially the Rhizophora sp formation at the seafront. The results of this research justify the use of simple canopy fractional cover model for assessing the mangrove forest degradation status in the study area. Further research is needed to test the applicability of this approach at different sites.
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spelling doaj.art-426312028ba24e1ab3fceae9967947b12022-12-21T21:28:29ZengDiponegoro UniversityGeoplanning: Journal of Geomatics and Planning2355-65442016-10-013210711610.14710/geoplanning.3.2.107-1169527ASSESSMENT OF MANGROVE FOREST DEGRADATION THROUGH CANOPY FRACTIONAL COVER IN KARIMUNJAWA ISLAND, CENTRAL JAVA, INDONESIAMuhammad Kamal0Hartono Hartono1Pramaditya Wicaksono2Novi Susetyo Adi3Sanjiwana Arjasakusuma4Faculty of Geography, Gadjah Mada University, YogyakartaFaculty of Geography, Gadjah Mada University, YogyakartaFaculty of Geography, Gadjah Mada University, YogyakartaResearch Centre for Coastal and Maritime Resources, The Ministry of Maritime Affairs and FisheriesFaculty of Geography, Gadjah Mada University, YogyakartaThe Karimunjawa Islands mangrove forest has been subjected to various direct and indirect human disturbances in the recent years. If not properly managed, this disturbance will lead to the degradation of mangrove habitat health. Assessing forest canopy fractional cover (fc) using remote sensing data is one way of measuring mangrove forest degradation. This study aims to (1) estimate the forest canopy fc using a semi-empirical method, (2) assess the accuracy of the fc estimation and (3) create mangrove forest degradation from the canopy fc results. A sample set of in-situ fc was collected using the hemispherical camera for model development and accuracy assessment purposes. We developed semi-empirical relationship models between pixel values of ALOS AVNIR-2 image (10m pixel size) and field fc, using Enhanced Vegetation Index (EVI) as a proxy of the image spectral response. The results show that the EVI provides reasonable estimation accuracy of mangrove canopy fc in Karimunjawa Island with the values ranged from 0.17 to 0.96 (n = 69). The low fc values correspond to vegetation opening and gaps caused by human activities or mangrove dieback. The high fc values correspond to the healthy and dense mangrove stands, especially the Rhizophora sp formation at the seafront. The results of this research justify the use of simple canopy fractional cover model for assessing the mangrove forest degradation status in the study area. Further research is needed to test the applicability of this approach at different sites.http://ejournal.undip.ac.id/index.php/geoplanning/article/view/11884mangrovesdegradationcanopy fractional coverALOS AVNIR-2EVI
spellingShingle Muhammad Kamal
Hartono Hartono
Pramaditya Wicaksono
Novi Susetyo Adi
Sanjiwana Arjasakusuma
ASSESSMENT OF MANGROVE FOREST DEGRADATION THROUGH CANOPY FRACTIONAL COVER IN KARIMUNJAWA ISLAND, CENTRAL JAVA, INDONESIA
Geoplanning: Journal of Geomatics and Planning
mangroves
degradation
canopy fractional cover
ALOS AVNIR-2
EVI
title ASSESSMENT OF MANGROVE FOREST DEGRADATION THROUGH CANOPY FRACTIONAL COVER IN KARIMUNJAWA ISLAND, CENTRAL JAVA, INDONESIA
title_full ASSESSMENT OF MANGROVE FOREST DEGRADATION THROUGH CANOPY FRACTIONAL COVER IN KARIMUNJAWA ISLAND, CENTRAL JAVA, INDONESIA
title_fullStr ASSESSMENT OF MANGROVE FOREST DEGRADATION THROUGH CANOPY FRACTIONAL COVER IN KARIMUNJAWA ISLAND, CENTRAL JAVA, INDONESIA
title_full_unstemmed ASSESSMENT OF MANGROVE FOREST DEGRADATION THROUGH CANOPY FRACTIONAL COVER IN KARIMUNJAWA ISLAND, CENTRAL JAVA, INDONESIA
title_short ASSESSMENT OF MANGROVE FOREST DEGRADATION THROUGH CANOPY FRACTIONAL COVER IN KARIMUNJAWA ISLAND, CENTRAL JAVA, INDONESIA
title_sort assessment of mangrove forest degradation through canopy fractional cover in karimunjawa island central java indonesia
topic mangroves
degradation
canopy fractional cover
ALOS AVNIR-2
EVI
url http://ejournal.undip.ac.id/index.php/geoplanning/article/view/11884
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