Melola Discovery

← Melola Discovery

Jurnal

Population mapping in Kudus Regency using spectral built-up index with Google Earth Engine

Indonesian Journal of Earth and Human · Vol. 1 No. 2 (2024) · hlm. 64–75

Terbit
2024-12-01
Penerbit
Indonesian Journal of Earth and Human
Bahasa
eng

Abstrak

Population data plays a pivotal role in environmental management and regional development. However, a significant challenge in Indonesia lies in the reliance on administrative boundaries for population data, hindering integration with physical environmental boundaries like watersheds or ecoregions. This article endeavors to map grid-based population distribution in Kudus Regency. Data sources encompass Landsat 8 satellite imagery, SRTM DEM, land cover maps (SHP), and census population data. The research methodology involves creating a settlement map via machine learning on Google Earth Engine, followed by the development of built-up land index transformations (NDBI, VrNIR-BI, VgNIR-BI) and subsequent linear regression analysis. Findings reveal that the grid-based population map derived from VrNIR-BI demonstrates superior accuracy compared to other indices. Errors in population mapping primarily stem from the amalgamation of dry agricultural land and non- settlement built-up land within the indices. Addressing this challenge entails employing a built-up land index capable of effectively discerning built-up areas from open land while accurately delineating urban and rural regions.

Kata kunci

Jaringan kolaborasi para penulis

40 penulis · 133 tautan kepenulisan bersama · 10 lintas organisasi · menampilkan 40 yang paling banyak terhubung

Arahkan kursor atau ketuk sebuah nama untuk menyorot rekan penulisnya. Klik dua kali untuk membuka halaman penulis.

  • State University of Semarang
  • University of Brawijaya
  • University of Edinburgh
  • Diponegoro University
  • Tarumanagara University
  • Universitas Halu Oleo
  • Afiliasi tidak diketahui
  • Organisasi berbeda
  • Organisasi sama
  • Afiliasi tidak diketahui
  • Garis lebih tebal = lebih banyak artikel bersama · lingkaran lebih besar = lebih banyak artikel
Tampilkan sebagai tabel
Rekan penulisOrganisasiArtikel bersama
Abdul JabbarUniversity of Brawijaya10
Habil SultanAfiliasi tidak diketahui8
Puji HardatiAfiliasi tidak diketahui5
Hamdan Tri AtmajaAfiliasi tidak diketahui5
Hariyanto HariyantoAfiliasi tidak diketahui4
Rifa’ AtunnisaState University of Semarang4
Fathia LutfianandaUniversity of Edinburgh3
Andhina Putri HeriyantiDiponegoro University3
Juhadi JuhadiAfiliasi tidak diketahui3
Erni SuhariniAfiliasi tidak diketahui3
Suroso SurosoAfiliasi tidak diketahui3
Wahyu SetyaningsihAfiliasi tidak diketahui3
Wasino WasinoTarumanagara University3
Purwadi SuhandiniAfiliasi tidak diketahui3
Alfia RahmalidyaAfiliasi tidak diketahui3
Abdul JabbarState University of Semarang2
Satya Budi NugrahaAfiliasi tidak diketahui2
Amnan HarisAfiliasi tidak diketahui2
Cintiya Egi PurwadiAfiliasi tidak diketahui2
Mahendra GunawanAfiliasi tidak diketahui2
Dhiyanita ShabrinaAfiliasi tidak diketahui2
Lenny Helmalia MustikawatiAfiliasi tidak diketahui2
Bambang Eko SusiloState University of Semarang2
Sri SukaesihState University of Semarang2
Siti WahyuniAfiliasi tidak diketahui2
Aditya MariantiAfiliasi tidak diketahui2
Virgania SariAfiliasi tidak diketahui2
Nuni WidiartiAfiliasi tidak diketahui2
Fadly HusainAfiliasi tidak diketahui2
Agustinus Sugeng PriyantoAfiliasi tidak diketahui2
Tjaturahono Budi SanjotoAfiliasi tidak diketahui2
Hairumini HairuminiAfiliasi tidak diketahui2
Eva BanowatiAfiliasi tidak diketahui2
Niki AstriaAfiliasi tidak diketahui2
Muhammad AminUniversitas Halu Oleo2

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) https://journal.unnes.ac.id/journals/ijeh/oai, pertama di-harvest 5 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en">Population mapping in Kudus Regency using spectral built-up index with Google Earth Engine</dc:title>
	<dc:creator xml:lang="en">Fariz, Trida Ridho</dc:creator>
	<dc:creator xml:lang="en">Setyowati, Dewi Liesnoor</dc:creator>
	<dc:creator xml:lang="en">Damayanti, Meilinda</dc:creator>
	<dc:creator xml:lang="en">Rahmawati, Dwi</dc:creator>
	<dc:creator xml:lang="en">Nurhidayati, Ely</dc:creator>
	<dc:subject xml:lang="en">Mapping population</dc:subject>
	<dc:subject xml:lang="en">Gridded population data</dc:subject>
	<dc:subject xml:lang="en">Built-up indices</dc:subject>
	<dc:subject xml:lang="en">Landsat 8</dc:subject>
	<dc:subject xml:lang="en">Google Earth Engine</dc:subject>
	<dc:description xml:lang="en">Population data plays a pivotal role in environmental management and regional development. However, a significant challenge in Indonesia lies in the reliance on administrative boundaries for population data, hindering integration with physical environmental boundaries like watersheds or ecoregions. This article endeavors to map grid-based population distribution in Kudus Regency. Data sources encompass Landsat 8 satellite imagery, SRTM DEM, land cover maps (SHP), and census population data. The research methodology involves creating a settlement map via machine learning on Google Earth Engine, followed by the development of built-up land index transformations (NDBI, VrNIR-BI, VgNIR-BI) and subsequent linear regression analysis. Findings reveal that the grid-based population map derived from VrNIR-BI demonstrates superior accuracy compared to other indices. Errors in population mapping primarily stem from the amalgamation of dry agricultural land and non- settlement built-up land within the indices. Addressing this challenge entails employing a built-up land index capable of effectively discerning built-up areas from open land while accurately delineating urban and rural regions.</dc:description>
	<dc:publisher xml:lang="en">Indonesian Journal of Earth and Human</dc:publisher>
	<dc:date>2024-12-01</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/ijeh/article/view/7662</dc:identifier>
	<dc:source xml:lang="en">Indonesian Journal of Earth and Human; Vol. 1 No. 2 (2024): Desember 2024; 64-75</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/journals/ijeh/article/view/7662/2084</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2024 Indonesian Journal of Earth and Human</dc:rights>
</oai_dc:dc>