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All Journal HAYATI Journal of Biosciences Indonesian Journal of Geography Jurnal Teknik ITS IPTEK Journal of Proceedings Series IPTEK The Journal for Technology and Science Forum Geografi Jurnal Geosaintek Journal of Applied Geospatial Information Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Jurnal Penginderaan Jauh Indonesia Jurnal Ilmiah Geomatika SEWAGATI: Jurnal Pengabdian Kepada Masyarakat Jurnal Geosaintek Jurnal Penginderaan Jauh Indonesia Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Geoid - Journal of Geodesy and Geomatics
Jaelani, Lalu Muhamad
Departemen Teknik Geomatika Institut Teknologi Sepuluh Nopember
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Physics Public Health

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Bahasa Inggris Mohammad Rifqi Alfarizi; Lalu Muhamad Jaelani
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol 20 No 2 (2026)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/inderaja.v20i2.9761

Abstract

Urban air quality monitoring requires methods that are both comprehensive and cost-effective. Sentinel-5P TROPOMI satellite data are freely available; however, their units (mol/m²) cannot directly represent surface pollutant concentrations (μg/m³) without the Vertical Column Height (VCH) parameter, which is commonly assumed to be constant. This assumption contradicts the dynamic nature of the atmosphere. This study demonstrates that VCH is inherently dynamic through the integration of Sentinel-5P data with in-situ air quality sensor observations in Surabaya City. Daily VCH values were calculated for SO₂, CO, and NO₂ at the Kebonsari and Wonorejo monitoring stations throughout 2024 by pairing Vertical Column Density (VCD) data (retrieved via Google Earth Engine) with surface pollutant concentrations (obtained from the Surabaya Environmental Agency) based on matching dates and coordinates. The results show that VCH varies significantly on both daily and monthly scales, indicating that a static VCH assumption is not representative. The correlation between VCH and in-situ concentrations is negative, with the following order of strength: CO (r = −0.7989; R² = 0.6383) > NO₂ (r = −0.5913; R² = 0.3496) > SO₂ (r = −0.3818; R² = 0.1457), consistent with the atmospheric lifetime of each pollutant. Additional analysis shows that MODIS surface temperature shows weak positive correlations with VCH for all pollutants: SO₂ (r = 0.2903; R² = 0.0843) > CO (r = 0.2464; R² = 0.0607) > NO₂ (r = 0.0033; R² ≈ 0.0000), indicating that surface temperature alone is insufficient to explain vertical pollutant distribution. A dynamic VCH approach is therefore necessary for more accurate satellite-to-surface pollutant conversion, and future models require integration of more comprehensive meteorological parameters
Analysis of SO2 Emissions and Thermal Anomalies from the Eruption of Mount Lewotobi Laki-laki in November 2024 Using Google Earth Engine Febryanto Pratama; Lalu Muhamad Jaelani
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol 19 No 1 (2025)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/inderaja.v19i1.5968

Abstract

Mount Lewotobi is one of the active volcanoes located in Wulanggitang District, East Flores Regency, East Nusa Tenggara. Mount Lewotobi Laki-Laki in November 2024 has been detected showing significant volcanic activity. This volcanic activity has been detected emitting volcanic gas emissions and significant lava flows that could affect air quality, structures, and the surrounding ecosystem. SO2 emissions and hotspot areas were analyzed using remote sensing data from Sentinel-5P (TROPOMI), Sentinel-2 (MSI), and Landsat-8 (OLI). Data processing was conducted using the Google Earth Engine platform to obtain spatial and temporal analyses of SO2 concentrations in the air and heat sources generated by volcanic activity. The Normalized Hotspot Indices (NHI) method was applied to identify and map hotspots generated by volcanic activity. The results of SO2 levels showed a maximum value of 300,831 µg/m³ and an average of 71,928 µg/m³ occurring on November 9, 2024. The classification of hotspot distribution indicated a range from high to moderate to low. The total number of hotspots measured was 51 on Landsat-8 and 278 on Sentinel-2. The statistical test results for Landsat-8 data showed no significant correlation between SO2 measurements and hotspot measurements, whereas the results for Sentinel-2 showed an inverse correlation.
Analysis of Mangrove Species Detection Performance on Multiresolution Satellite Imagery Using Linear Spectral Unmixing Indah Fultriasantri; Aldea Noor Alina; Lalu Muhamad Jaelani; Hartanto Sanjaya; Abdul Rauf Abdul Rasam
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol 19 No 1 (2025)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/inderaja.v19i1.6548

Abstract

The Pamurbaya mangrove conservation area in East Surabaya is crucial for coastal protection, but it is vulnerable to degradation due to human activities and land-use changes. Species distribution maps are essential for understanding ecological functions, such as carbon sequestration, salinity tolerance, and ecosystem stability. This study utilizes multiresolution remote sensing data from WorldView-2 satellite imagery to map mangrove and detailed species-level. Random Forest is utilized to differentiate mangrove and non-mangrove, while Linear Spectral Unmixing allows for detailed mangrove species distribution. Further analysis was carried out to determine at what resolution the LSU works optimally. The imagery was served in 0.5 meter resolution and down-sampled to 5 meter, 10, 20, 30, and 50 meter resolutions. This study obtained that LSU were able to differentiate mangroves according to its endmember and working optimally at medium resolution (10–30 m), with overall accuracy increasing from 70% (10 m) to 75% (30 m) and Kappa value increasing from 53.7 to 60.41. High resolution (0.5–10 m) provides more detailed mapping but is optimal for species with small and scattered distributions. Meanwhile, low resolution (20–50 m) tends to cause overestimation or aggregation of species.
Co-Authors Abdul Rauf Abdul Rasam Adillah Alfatinah Afifi , Zulfahmi Agnes Rusnalia T. Agung Budi Cahyono Ahyudanari, Ervina Aji, Pujo Albertus Sulaiman Albertus Sulaiman, Albertus Aldea Noor Alina Amalia Putri Rivani Andie Setiyoko Andika Yudha Gutama Andri A. Wibowo Ari Matiur Aries Sulisetyono Arik Yumna Pratiwi Aryasandah H. Dewantoro Aryasandah H. Dewantoro, Aryasandah H. Azmi, Rahajeng Aulia Bachtiar, Jayed Ali Baehaqi Baiq Arasya Wulandari Bangun Muljo Sukojo Bangun Muljo Sukojo, Bangun Muljo Benedict Chao-Hung Lin Denaro, Lino Garda Dewinta Heriza Diah Ardiani Eddy Setyo Koenhardono, Eddy Setyo erika yuniar tyastiti Fahlefi , Rizha Faisal Adam Yudithia Febryanto Pratama Feny Arafah Filsa Bioresita, Filsa Firmansyah Maulana Azhali Fitriana Kartikasari Fitriana Kartikasari Gathot Winarso Gathot Winarso Gathot Winarso, Gathot Gilang Amrullah Sayono Gutama, Andika Yudha Hanansyah, Megivareza Putri Handis Muzaky Harliyanti, Novi Ika Hartanto Sanjaya Heni Agustina Hepi Hapsari Handayani Hepi Hapsari Handayani Hepi Hapsari Handayani, Hepi Hapsari Heriza, Dewinta Hidayat, Husnul Husnul Hidayat, Husnul Ilyas Ilyas Indah Fultriasantri Irma'atus Sholihah Jayed Ali Bachtiar Jayeng Rangga Bhirawa Kristina Putri Laili, Nurahida Lena Sumargana Lena Sumargana Lin, Chao-Hung Lino Garda Denaro Loryena Ayu Karondia, Loryena Ayu M. Aldila Syariz, M. Aldila M. Nur Cahyadi M. Nur Cahyadi, M. Nur Martanti Aji Pangestu Mochamad Indrawan Mohammad Rifqi Alfarizi Muhammad Aldila Syariz Muhammad Aldila Syariz Muhammad Hanif Muhammad Rizka Arief Pratama Muhammad Rizka Arief Pratama, Muhammad Rizka Arief Muhammad Taufik Muhammad Wildan Bobsaid Muhsi Muzaky, Handis Nabilah, Salwa Nadzir, Zulfikar Adlan Nia Kurniadin Niken rahayuningtyas Noorlaila Hayati, Noorlaila Norida Maryantika Novi Ika Harliyanti Nur Aina Rizki Rahmadani Nurahida Laili Nurgiantoro, Nurgiantoro Oktavianto G. Pamungkas, Adjie Pangestu, Martanti Aji Pratomo, Danar Guruh Pratomo, Danar Guruh Putri, Rizky Annisa R A, Dwi Ayu Rahmansyah, Ferdian Zaki Ramdhanu, Lalu Teguh Purnama Resti Limehuwey Ricko Andrew FG. Rivani, Amalia Putri Rizha Fahlefi Romadina Indah Wardani Rossita Yuli Ratnaningsih Salam Tarigan Salsabila, Shada Salwa Nabilaha Sanjaya, Hartanto Sayono , Gilang Amrullah Sekartadji, Ratih Sukojo , Bangun Muljo Sulaiman, Albertus Sulistyah, Umroh Dian Sulistyah, Umroh Dian Tambunan, Mangapul Parlindungan tyastiti , erika yuniar Wardani , Romadina Indah Wulandari, Baiq Arasya Yennie Marini Yennie Marini, Yennie Zulfahmi Afifi