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.