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Mapping the Dynamics of Mangrove Density in Alas Purwo National Park using the ARVI Index

Journal of Environmental and Science Education · Vol. 4 No. 1 (2024) · hlm. 42–50

DOI
10.15294/jese.v4i1.5721
ISSN
2775-2518, 2797-0175
Terbit
2024-06-09
Penerbit
Universitas Negeri Semarang
Bahasa
eng

Abstrak

This study aims to compare the sensor/Top-of-Atmospheric (TOA) reflectance correction method and surface reflectance correction in the ARVI (Atmospherically Resistant Vegetation Index) vegetation index transformation application. The resulting comparison of the two has a correlation that is not much different, sensor reflectance correction (R = 0.9723) and surface reflectance correction (R = 0.9781) are both able to represent mangrove forest canopy density well. The model accuracy resulting from the surface reflectance correction RMSE 1.408 and MAPE 0.48%, is higher than that of the sensor correction (TOA) which has an RMSE value of 2.184 and MAPE 1.34%. For advanced remote sensing analysis, it is better to perform radiometric correction of surface reflectance because the reflectance value used for analysis is the true reflectance value. The condition of mangroves in Grajagan Bay in Alas Purwo National Park is very well preserved, this is shown by the mangrove canopy density >50% increased by 49.11 Ha in a period of 7 years from 2016 to 2023.

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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) https://journal.unnes.ac.id/journals/jese/oai, pertama di-harvest 6 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en">Mapping the Dynamics of Mangrove Density in Alas Purwo National Park using the ARVI Index</dc:title>
	<dc:creator xml:lang="en">Putra, Akbar Cahyadhi Pratama</dc:creator>
	<dc:creator xml:lang="en">Nurul Khakhim</dc:creator>
	<dc:creator xml:lang="en">Tantri Utami Widhaningtyas</dc:creator>
	<dc:subject xml:lang="en">Remote Sensing</dc:subject>
	<dc:subject xml:lang="en">Landsat-8</dc:subject>
	<dc:subject xml:lang="en">Mangroves</dc:subject>
	<dc:subject xml:lang="en">Radiometric Correction</dc:subject>
	<dc:subject xml:lang="en">ARVI</dc:subject>
	<dc:description xml:lang="en">This study aims to compare the sensor/Top-of-Atmospheric (TOA) reflectance correction method and surface reflectance correction in the ARVI (Atmospherically Resistant Vegetation Index) vegetation index transformation application. The resulting comparison of the two has a correlation that is not much different, sensor reflectance correction (R = 0.9723) and surface reflectance correction (R = 0.9781) are both able to represent mangrove forest canopy density well. The model accuracy resulting from the surface reflectance correction RMSE 1.408 and MAPE 0.48%, is higher than that of the sensor correction (TOA) which has an RMSE value of 2.184 and MAPE 1.34%. For advanced remote sensing analysis, it is better to perform radiometric correction of surface reflectance because the reflectance value used for analysis is the true reflectance value. The condition of mangroves in Grajagan Bay in Alas Purwo National Park is very well preserved, this is shown by the mangrove canopy density &amp;gt;50% increased by 49.11 Ha in a period of 7 years from 2016 to 2023.</dc:description>
	<dc:publisher xml:lang="en">Universitas Negeri Semarang</dc:publisher>
	<dc:date>2024-06-09</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">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unnes.ac.id/journals/jese/article/view/5721</dc:identifier>
	<dc:identifier>10.15294/jese.v4i1.5721</dc:identifier>
	<dc:source xml:lang="en">Journal of Environmental and Science Education; Vol. 4 No. 1 (2024): Journal of Environmental and Science Education: April 2024; 42-50</dc:source>
	<dc:source>2775-2518</dc:source>
	<dc:source>2797-0175</dc:source>
	<dc:source>10.15294/jese.v4i1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/journals/jese/article/view/5721/495</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2024 Journal of Environmental and Science Education</dc:rights>
</oai_dc:dc>