Article Per Year (5 Year)
p-Index From 2021 - 2026
1.573
P-Index
This Author published in this journals
All Journal IJoASER (International Journal on Advanced Science, Education, and Religion) Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Al-Qiyam Jurnal Tana Mana Jurnal Geosains West Science West Science Nature and Technology West Science Agro
Imburi, Christian Soleman
Unknown Affiliation
Religion Agriculture, Biological Sciences & Forestry Humanities Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Health Professions Law, Crime, Criminology & Criminal Justice Public Health Social Sciences

Published : 10 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : Jurnal Al-Qiyam

 1 
An Application of the Linear Spectral Unmixing Analysis (LSUA) Method Integrated with GIS for Mapping Glaciers on the Carstensz Peak, Papua Imburi, Christian Soleman
International Journal on Advanced Science, Education, and Religion Vol 8 No 3 (2025): IJoASER (International Journal on Advanced Science, Education)
Publisher : Sekolah Tinggi Agama Islam Al-Furqan, Makassar - Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33648/ijoaser.v8i3.1170

Abstract

Tropical glaciers, such as those in Puncak Jaya, Papua, are among the most climate-sensitive ice masses on Earth, yet their small size, complex topography, and persistent cloud cover hinder accurate monitorin. Conventional threshold-based mapping methods, including the Normalized Difference Snow Index (NDSI), often misclassify debris-covered ice and bright bedrock, limiting their applicability in tropical mountain environments. This study develops and evaluates an integrated Linear Spectral Unmixing Analysis (LSUA)–Geographic Information System (GIS) methodology for high-fidelity mapping of glacier extent and surface composition in Puncak Jaya. Multispectral Landsat 8 OLI imagery was processed using LSUA to generate fractional abundance maps of clean ice, debris-covered ice, supraglacial water, and surrounding terrain. These outputs were integrated with Digital Elevation Models (DEMs) in a GIS framework for glacier area computation, elevation-based change detection, and spatial context analysis. Accuracy assessment using confusion matrices and Root Mean Square Error (RMSE) metrics against high-resolution reference imagery demonstrated that the LSUA–GIS workflow outperformed conventional NDSI mapping, particularly in detecting debris-covered ice, with an overall classification accuracy exceeding 90%. Results revealed continued glacier retreat, with the most significant ice loss occurring at elevations 4.884 MASL. The proposed workflow offers a reproducible and scalable approach for mapping small, fragmented tropical glaciers, providing critical data for climate impact assessment, hydrological planning, and long-term monitoring in remote mountain regions.
Co-Authors Anggrianto, Rusdi Angrianto, Novaldi Laudi Bambang Nugroho Imam Widodo Mas'ud Muhammadiah NUNANG LAMAEK MAY Rahayu, Diah Afrianti Renwarin, Dominggas M.H. Rusdi Angrianto, Rusdi Sitompul, Gabriel Amadeus Sutiharni, Sutiharni Syafii, Muhamad Tanur, Evelin Anggelina Taryana Taryana, Taryana