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ESTIMATING MANGROVE FOREST DENSITY USING GAP FRACTION METHOD AND VEGETATION TRANSFORMATION INDICES APPROACH

Geoplanning: Journal of Geomatics and Planning · Vol. 5 No. 1 (2018) · hlm. 35–42

DOI
10.14710/geoplanning.5.1.35-42
ISSN
2355-6544
Terbit
2018-04-25
Penerbit
Department of Urban and Regional Planning, Diponegoro University
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-nc-sa/4.0

Abstrak

Mangrove forest represented a coastal ecosystem in Indonesia. Theoretical validation and in-field measurement by calculating the number of trees and the density data that was validated through remote sensing would not be appropriate because the remote sensing recorded canopy density and not tree stands. New method canopy photography or gap fraction method was the technique to predict sun radiation using the photograph taken upward through extremely wide lens and classification object image. The objectives of the study were (1) to examine the acuracy of the estimation of the mangrove forest density using vegetation index transformation, and (2) to map the mangrove forest condition. The location of the study was Alas Purwo Resort Grajagan National Park area. The material of the study was Landsat-8 OLI image recorded on January 19th, 2016 using SAVI vegetation index transformation method. Gap fraction filed measurement method was a new method in Indonesia. The results of the study showed that the regression of the SAVI index between index transformation value and in-field condition (R2) was 0.566, the forest density estimation resulting from the SAVI index transformation had the RMSE of 2.334178 and the density of the mangrove forest in Grajagan Bay of the Alas Purwo National Park included low density of 0-12.5% (30.42 ha), medium density of 12.6-25% (116.55 ha), and high density of 25.1-37.6% (463.68 ha).

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  • Universitas Gadjah Mada
  • IPB University
  • University of Indonesia
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Rekan penulisOrganisasiArtikel bersama
Arief WicaksonoUniversitas Gadjah Mada2
Muh Aris MarfaiUniversitas Gadjah Mada2
Nur Mohammad FardaUniversitas Gadjah Mada1
Totok Wahyu WibowoUniversitas Gadjah Mada1
Mennofatria BoerIPB University1
Ani MardiastutiIPB University1
Dedi SoedharmaIPB University1
Vincentius Paulus SiregarIPB University1
Suwarno HadisusantoUniversitas Gadjah Mada1
Muh. Sri YusalUniversitas Gadjah Mada1
Muhammad DimyatiUniversity of Indonesia1
Ratih Fitria PutriUniversitas Gadjah Mada1
Muhammad Adnan Shafry UntoroUniversitas Gadjah Mada1
Raden Ramadhani Yudha AdiwijayaUniversitas Gadjah Mada1
Taufik WalinonoUniversitas Gadjah Mada1
Wahyu LazuardiUniversitas Gadjah Mada1
Dimas Novandias Damar PratamaUniversitas Gadjah Mada1
Azis MusthofaUniversitas Gadjah Mada1
Zulfikri IsnaenUniversitas Gadjah Mada1
Projo DanoedoroUniversitas Gadjah Mada1
Muhammad BaiquniUniversitas Gadjah Mada1
Willem Anthon SiahayaUniversitas Gadjah Mada1

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Sumber metadata: OAI-PMH (metadata jurnal) http://ejournal.undip.ac.id/index.php/geoplanning/oai, pertama di-harvest 8 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en-US">ESTIMATING MANGROVE FOREST DENSITY USING GAP FRACTION METHOD AND VEGETATION TRANSFORMATION INDICES APPROACH</dc:title>
	<dc:creator>Khakhim, Nurul</dc:creator>
	<dc:creator>Putra, Akbar Cahyadhi Pratama</dc:creator>
	<dc:creator>Widhaningtyas, Tantri Utami</dc:creator>
	<dc:subject xml:lang="en-US">Mapping; Estimate; Remote Sensing; Mangrove Forest; Gap Fraction; Landsat-8 OLI;</dc:subject>
	<dc:description xml:lang="en-US">Mangrove forest represented a coastal ecosystem in Indonesia. Theoretical validation and in-field measurement by calculating the number of trees and the density data that was validated through remote sensing would not be appropriate because the remote sensing recorded canopy density and not tree stands. New method canopy photography or gap fraction method was the technique to predict sun radiation using the photograph taken upward through extremely wide lens and classification object image. The objectives of the study were (1) to examine the acuracy of the estimation of the mangrove forest density using vegetation index transformation, and (2) to map the mangrove forest condition. The location of the study was Alas Purwo Resort Grajagan National Park area. The material of the study was Landsat-8 OLI image recorded on January 19th, 2016 using SAVI vegetation index transformation method. Gap fraction filed measurement method was a new method in Indonesia. The results of the study showed that the regression of the SAVI index between index transformation value and in-field condition (R2) was 0.566, the forest density estimation resulting from the SAVI index transformation had the RMSE of 2.334178 and the density of the mangrove forest in Grajagan Bay of the Alas Purwo National Park included low density of 0-12.5% (30.42 ha), medium density of 12.6-25% (116.55 ha), and high density of 25.1-37.6% (463.68 ha).</dc:description>
	<dc:publisher xml:lang="en-US">Department of Urban and Regional Planning, Diponegoro University</dc:publisher>
	<dc:contributor xml:lang="en-US">faculty of geography, universitas gadjah mada</dc:contributor>
	<dc:contributor xml:lang="en-US">taman nasional alas purwo</dc:contributor>
	<dc:date>2018-04-25</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US"></dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ejournal.undip.ac.id/index.php/geoplanning/article/view/12783</dc:identifier>
	<dc:identifier>10.14710/geoplanning.5.1.35-42</dc:identifier>
	<dc:source xml:lang="en-US">Geoplanning: Journal of Geomatics and Planning; Vol 5, No 1 (2018); 35-42</dc:source>
	<dc:source>2355-6544</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ejournal.undip.ac.id/index.php/geoplanning/article/view/12783/Khakhim%20et%20al.%202018</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2018 Geoplanning: Journal of Geomatics and Planning</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-nc-sa/4.0</dc:rights>
</oai_dc:dc>