Vol. 20 No. 2 (2026),  scheduled for official publication in December 2026, currently comprises a single research article addressing urban air quality monitoring methodology: Alfarizi and Jaelani (Department of Geomatics Engineering, Institut Teknologi Sepuluh Nopember) evaluate a Dynamic Vertical Column Height (VCH) approach for converting Sentinel-5P TROPOMI columnar data (mol/m²) into surface pollutant concentrations (μg/m³) over Surabaya City, challenging the conventional practice of assuming a constant VCH and demonstrating the impact of atmospheric dynamics on the conversion accuracy (doi: 10.12962/inderaja.v20i2.9761, pp. 43–53). The issue will continue to be populated with forthcoming articles ahead of its December 2026 release.

Vol. 20 No. 1 (2026), published on June 2026, comprises 5 research articles organized across three thematic clusters: marine-coastal monitoring, geodetic infrastructure assessment, and urban growth dynamics. The opening article addresses marine environmental health: Hidayat, Arafah, Asryadin, and Ajiza (Department of Geodetic Engineering, National Institute of Technology ITN Malang; Regional Research and Innovation Agency BRIDA Bima) investigate the relationship between water quality conditions in Bima Bay and the occurrence of the sea snot phenomenon, which was first reported in Indonesian waters on April 25, 2022, and is attributed to the accumulation of phytoplankton and bacterial mucus on the sea surface (doi: 10.12962/inderaja.v20i1.8809, pp. 1–8). The second pair of articles focuses on geodetic-scale infrastructure and hydrological monitoring: Hammaami, Raharjo, and Jaelani (Department of Geomatics Engineering ITS; Civil Engineering Department, Politeknik Negeri Malang) analyze the geometric displacement of Suramadu Bridge pylons — a critical cable-stayed structure connecting Java and Madura — using multi-temporal UAV Light Detection and Ranging (LiDAR) point cloud data against the Detailed Engineering Design baseline (doi: 10.12962/inderaja.v20i1.9762, pp. 9–16); Carundyatama, Oktabrian, Kuncara, Sabrina, and Nusriah (Sekolah Tinggi Meteorologi Klimatologi dan Geofisika STMKG) examine the spatiotemporal and seasonal variability of Terrestrial Water Storage (TWS) and Groundwater Storage (GWS) across Papua Island using GRACE and GRACE-FO satellite gravimetry data (doi: 10.12962/inderaja.v20i1.9810, pp. 17–24). The third cluster comprises two articles on environmental informatics: Hidayat, Habibie, and Rosalia (Marine Information System, Universitas Pendidikan Indonesia; Research Center of Geoinformatics BRIN) conduct a systematic literature review of remote sensing-based approaches for monitoring mangrove ecosystem vulnerability (doi: 10.12962/inderaja.v20i1.9866, pp. 25–34); Muludi, Warsito, and Widjaja (Informatics Department, Matana University) apply deep learning techniques to spatio-temporal land-use/land-cover (LULC) mapping and urban growth analysis in the Gading Serpong satellite township, Tangerang, spanning the period 2017–2026 (doi: 10.12962/inderaja.v20i1.10126, pp. 35–42). The methodological profile of this issue is notably broad, encompassing UAV LiDAR, satellite gravimetry (GRACE/GRACE-FO), deep learning, and systematic literature review — reflecting diverse data acquisition strategies and analytical frameworks across the contributing institutions; authorship is distributed across ITS (2 articles via Jaelani), ITN Malang (1 marine article), STMKG (1 hydrology article), Matana University (1 deep learning article), and BRIN (1 mangrove review), indicating a widening institutional network beyond the journal's editorial base.

Vol. 19 No. 2 (2025), published on December 2025, comprises 5 research articles unified by an environmental-hazard and resource-management theme. The issue opens with a systematic literature review: Sampelan, Pratiwi, Baihaqi, and Agustiarini (Climatological Station of West Nusa Tenggara, BMKG) conduct a PRISMA-compliant survey of spatial air temperature modeling from remote sensing data using machine learning approaches, drawing on 1,487 screened articles from Google Scholar and Scopus published between 2016 and 2025, and analyze trends in algorithm preference, predictor variables, and validation metrics across the reviewed corpus (doi: 10.12962/inderaja.v19i2.8450, pp. 62–74). The following three articles are empirical case studies covering distinct hazard domains: Suharyanto and Bioresita (Department of Geomatics Engineering ITS) apply Landsat-9 data combined with Multi-Criteria Decision Analysis (MCDA) to delineate flood vulnerability zones in Bekasi Regency, identifying 86,454.87 ha (68.5%) as Medium risk and 21,831.52 ha as High risk (doi: 10.12962/inderaja.v19i2.7758, pp. 82–89); Wardhana, Bioresita, and Hayati (Department of Geomatics Engineering ITS) develop an adaptive threshold method utilizing active remote sensing data (SAR) to detect and analyze oil spill distribution in the western Java Sea, an area of intensive oil industry and maritime activity (doi: 10.12962/inderaja.v19i2.7799, pp. 90–100); Iqbal, Yanuarsyah, and Hermawan (Department of Informatics Engineering, Ibn Khaldun University of Bogor) employ the Relative Difference Normalized Difference Vegetation Index (rdNDVI) on the Google Earth Engine platform to detect landslide potential in Leuwiliang District, Bogor Regency (doi: 10.12962/inderaja.v19i2.8801, pp. 105–113). The closing article addresses renewable energy: Hafizh and Prarikeslan (Department of Geography, Universitas Negeri Padang) carry out a high-resolution rooftop solar photovoltaic potential assessment for Padang Utara Subdistrict using entirely open-source remote sensing data and cloud-computing workflows (doi: 10.12962/inderaja.v19i2.8800, pp. 101–104). The methodological landscape of this issue reflects a pronounced shift toward computational platforms — MCDA, GEE, and adaptive threshold algorithms — and machine learning as a recurring analytical paradigm, while the satellite data portfolio centers on Landsat-9 (flood), SAR/oil spill, and open-source optical data (solar PV); institutional authorship is heavily concentrated at the Department of Geomatics Engineering ITS (appearing in three articles via Bioresita), followed by BMKG (one SLR article) and Ibn Khaldun University of Bogor (one landslide article), indicating a coherent research cluster anchored at ITS.

Vol. 19 No. 1 (2025), published on June 26, 2025, comprises 5 research articles organized around three thematic clusters: urban-environmental remote sensing, atmospheric and meteorological applications, and coastal-ecosystem mapping. The opening pair of articles addresses vegetation and built-up land dynamics: Oknisia and Nugraini (Geomatics Engineering Department, Universitas Pembangunan Nasional "Veteran" Yogyakarta) evaluate the performance of the Normalized Difference Built-Up Index (NDBI) in distinguishing built-up land from open/barren surfaces in the arid rural setting of Bayat Sub-district, Klaten Regency, Central Java (doi: 10.12962/inderaja.v19i1.5084, pp. 1–8); meanwhile, Sampelan, Pratiwi, and Baihaqi (Climatological Station of West Nusa Tenggara, BMKG, West Lombok) conduct a comparative correlation analysis of SAVI versus NDVI against Land Surface Temperature derived from Landsat 8 imagery within the Mandalika Special Economic Zone (doi: 10.12962/inderaja.v19i1.4442, pp. 9–17). The second cluster focuses on atmospheric monitoring: Firdianto, Sukojo, Zakir, and Mulsani (Maritime Meteorological Station of Tanjung Perak BMKG; Department of Geomatics Engineering ITS; Indonesian State College of Meteorology Climatology and Geophysics STMKG) perform a spatiotemporal analysis of Mesoscale Convective System (MCS) behavior in relation to the Asia-Australia monsoon circulation over East Java using Himawari satellite data (doi: 10.12962/inderaja.v19i1.5136, pp. 18–31); Pratama and Jaelani (Department of Geomatics Engineering ITS) integrate Sentinel-5P TROPOMI SO₂ retrievals with Sentinel-2 and Landsat-8 hotspot detection via Google Earth Engine to quantify sulfur dioxide emissions and thermal anomalies associated with the November 2024 eruption of Mount Lewotobi Laki-laki in East Flores Regency (doi: 10.12962/inderaja.v19i1.5968, pp. 32–45). The closing article shifts to coastal ecology: Fultriasantri, Alina, Jaelani, Sanjaya (Department of Geomatics Engineering ITS), and Abdul Rasam (Malaysia Institute of Transport, Universiti Teknologi MARA) assess the detection accuracy of mangrove species discrimination in the Pamurbaya conservation area using Linear Spectral Unmixing applied to multi-resolution WorldView-2 satellite imagery (doi: 10.12962/inderaja.v19i1.6548, pp. 46–61). Across the issue, ITS Department of Geomatics Engineering contributes three articles (co-authored by Jaelani in two and Sukojo in one), BMKG and its affiliated institutions (Climatological Station, STMKG) collectively appear in two articles, reflecting a strong institutional synergy between the journal's editorial base and operational meteorology agencies; the methodological spectrum spans conventional spectral index analysis, cloud-computing GEE platforms, subpixel spectral unmixing, and multi-sensor satellite fusion (Landsat-8, Sentinel-2, Sentinel-5P, Himawari, WorldView-2), with Landsat-8 and Sentinel-2 serving as the dominant data sources across four of five articles.