Geographic Information Systems (GIS) increasingly inform high-stakes decisions in public health, environmental management, infrastructure planning, and regulatory governance; yet GIS practice lacks enforceable professional standards equivalent to tho...
Accurate building footprint datasets are critical for urban planning, disaster management, and infrastructure development. Conventional methods for generating these datasets are labour-intensive, costly, and susceptible to human error. While AI-drive...
Tianmu-1 (TM-1) provides global navigation satellite system (GNSS) radio occultation (RO) observations from four navigation systems. To support assimilation over humid South China, TM-1 refractivity was evaluated over South China and surrounding regi...
Level of Detail 1 (LOD1) building models underpin national 3D cadastre development, yet OpenStreetMap (OSM) and Global Building Atlas (GBA) have rarely been validated against authoritative cadastral data using designs that separate positional, geomet...
Forest cover in Vietnam has changed profoundly since 1990 under agricultural expansion, urbanization and plantation programs. This study used the 31 annual JAXA High-Resolution Land-Use and Land-Cover maps of Vietnam (v21.09, 1990–2020) to quan...
This study examines the link between drone airborne LiDAR point cloud density and cartographic scale, addressing the question of what density is required for scale-consistent 3D geovisualizations. Additionally, it seeks to address the discrepancy bet...
This study presents a regional-scale, process-oriented assessment of active landslide-related deformation in TiziOuzou, northernAlgeria, over approximately 2429 km2, using dual-geometry Sentinel-1 SBAS-InSAR time-series analysis. Ascending and descen...
This study evaluates GeoClock under a raw-hour-disjoint protocol designed to avoid reuse of nominal observation epochs across source training and validation. The model maps variable-cardinality GNSS observations to 80 physical statistical features an...
The increasing availability of public-sector data creates opportunities for spatially enabled fiscal oversight, but procurement, project-monitoring, financial, and geographic information are commonly maintained in heterogeneous institutional systems....
Mobile-mapping systems (MMSs) are moving from sensor-centric survey platforms toward intelligence-driven components of the remote sensing ecosystem. This critical narrative review analyzes rather than catalogs that shift, organizing it around four st...
Accurate short-term forecasts of meteorological parameters remain challenging in mountainous small watersheds because sparse observations and global background fields do not adequately capture rapid local water vapor variations. Previous studies indi...
The estimation of the vertical datum potential in Mexico (Ŵ0NAVD88) and its geopotential bias (δŴ0) relative to the International Height Reference Frame (IHRF) is essential for integrating national vertical systems into a global refer...
The 400 mm isohyet is an important geographical boundary in China. Owing to climate change, the spatial position of this precipitation line is shifting, which has significant impacts on agricultural production, population distribution, and ecosystems...
Relevance. Tailing storage facilities (TSFs) are among the most accident-prone hydraulic structures in the mining industry, with a reported average failure-rate estimate of approximately 1.2%, while independent cumulative estimates range from 1.2% to...
Autonomous Vehicle (AV) Digital Twins require persistent geospatial infrastructures that connect semantic, spatial, temporal, environmental, road-reference, and 3D urban information across simulation and visualization. This study proposes a database-...
The Vere River basin in Tbilisi, Georgia, experienced a major cascading landslide–flood disaster in June 2015, emphasizing the need to evaluate the present stability of slopes adjacent to the former source area. This study combines small-baseli...
Coastal wetlands at urban margins experience interacting thermal, land-surface and hydrological pressures, yet composite remote-sensing assessments require transparent weighting, uncertainty analysis and careful interpretation. This study assessed la...
Mobile Mapping Systems (MMSs) are increasingly adopted for transport infrastructure inspection, where reliable characterization of global and local geometry is essential. This is critical in GNSS-denied environments such as road tunnels, where trajec...
High-quality road-user trajectory data are essential for traffic modeling, road-safety assessment, and the analysis of interactions involving vulnerable road users (VRUs). Existing UAV-based trajectory datasets are often limited in geographic scope,...
Accurate tree species mapping in tropical dry forests remains challenging because strong seasonal phenological variation and spectral overlap can limit discrimination from single-date imagery. This study evaluated the integration of wet- and dry-seas...
Gross errors in Global Navigation Satellite System (GNSS) coordinate time series can bias velocity and deformation estimates. Conventional three-sigma screening is prone to masking because contaminated observations inflate the residual scale. This st...
Lithium(Li)-rich pegmatites are an important source of Li for the energy transition, but their detection using remote sensing data/techniques remains challenging due to subpixel occurrence. This study presents an integrated prospectivity mapping fram...
Accurate quantification of precipitation is critical for anticipating extreme cli mate events such as droughts and flash floods, yet ground rain gauges and weather radars in Northern Algeria suffer from limited spatial coverage and high maintenance c...
A rapid and spatially explicit assessment of structural damage is essential following major disasters, particularly where access to the field is limited and reliable information on damage is scarce. This study evaluates how semantic segmentation arch...
This study developed a hybrid deep learning framework for individual-tree crown delineation and species classification in broadleaf-dominated mixed forests using unmanned aerial vehicle (UAV)-derived multisource imagery and airborne Light Detection a...
As part of the Global Navigation Satellite System (GNSS), Galileo uses the NeQuick-G algorithm to provide ionospheric correction to single-frequency users. Within the framework of a research project, an improved Galileo single-frequency ionospheric c...
Rapid and unplanned urbanization in South Asian cities such as Lahore, Pakistan has produced fragmented urban-agricultural landscapes in which spectral signatures of various land cover and land use (LCLU) classes overlap, degrading the performance of...
Sea-level rise is a key indicator of climate change, increasing the vulnerability of the Mediterranean’s densely populated, socio-economically important coastlines. This study investigates Mediterranean sea-level variability and its physical co...
Terrestrial laser scanning (TLS) has become an important tool for the digital documentation of historic buildings, particularly where irregular geometries and restricted spaces limit conventional survey methods. This study develops and applies a TLS-...
This study investigates the development of deformation in the southern waste rock dump of the Western Open Pit of the Zhairem Mining and Concentrating Complex through the integrated analysis of multi-temporal geospatial data. The study addresses the...
Due to inter-frequency phase bias (IFB), GLONASS is ignored when discussing real-time kinematic (RTK) positioning. Although this problem has been effectively solved, defects still exist when the number of tracked satellites is small or when single-fr...
Lowland temperate native grasslands are recognised as one of the most threatened vegetation communities in Australia, and even small remnant populations can hold high ecological value. One such site is Township Lagoon Nature Reserve in the Tasmanian...
Global Navigation Satellite Systems (GNSSs) have become indispensable in establishing geodetic networks, owing to their capability to deliver high-accuracy positioning. However, the accuracy and reliability of GNSS networks can be compromised by meas...
To address the issue of long ambiguity resolution (AR) time for existing medium-to-long baseline reference stations, this paper proposes a rapid ambiguity fixing method with empirical ionospheric constraints. The method directly treats the L1 and wid...
Understanding forest canopy height (H) variations across different forest types and topographic conditions is essential for sustainable forest management; however, quantitative information on how H varies among forest types and responds to topographi...
The utilisation of computer vision in urban studies has become common practice due to its capacity to diminish the financial burden associated with field surveys. Monocular Depth Estimation (MDE) is a recent branch of computer vision that has been sh...
Coastal waters are vulnerable ecosystems that are increasingly affected by sediment and nutrient inputs, as well as pollution resulting from both natural processes and anthropogenic pressures. Monitoring the pattern of chlorophyll-a and turbidity is...
Planning future electric vehicle charging infrastructure requires assessment of spatial suitability, demand, network gaps, and expected accessibility benefits. This study developed a national-scale framework for Bosnia and Herzegovina integrating mac...
Ground deformations induced by underground mining significantly affect the geometric condition and serviceability of buildings located in mining areas. Conventional assessments are commonly based on ground deformation indicators, which do not necessa...
Surface mining significantly alters land cover and vegetation, making long-term monitoring essential for assessing its environmental impacts. The objective of this study was to analyze the long-term development of the active Dargov quarry (Slovakia)...
Super-resolution (SR) of remote-sensing imagery is commonly assessed through spatial fidelity or visual sharpness, although index-based geomatics requires preservation of cross-band spectral relationships. We compare five Sentinel-2 full-band SR conf...
Peri-urban forest ecosystems play a crucial role in sustaining biodiversity, regulating climate, and providing essential ecosystem services; however, they are increasingly threatened by rapid urban expansion. Despite advances in remote sensing-based...
In this study, we used the DeepESDL framework to exploit multivariate data cubes for the identification and characterization of frontal zones in the Alboran Sea throughout the year 2023. By operating directly within a unified data hypercube architect...
Smartphone GNSS metadata remains an underexplored source for evaluating navigation-signal integrity in real-world conditions. We investigated GPS behavior recorded by a Samsung Galaxy A72 smartphone across two European flights (EXP03: Rome–Buch...
Shoreline determination is fundamental to coastal research, spatial planning, and legal boundary delineation but remains challenging in low-relief coastal areas where small sea-level variations can produce substantial horizontal shoreline displacemen...
Small- and medium-sized landslides frequently occur in clusters and exhibit fragmented morphologies, irregular boundaries, and spectral characteristics similar to surrounding roads, bare soil, and sparsely vegetated surfaces, making their automated e...
Accurate identification of the spatial distribution of agricultural greenhouses is essential for regional agricultural management in Japan. However, an efficient method for systematically mapping greenhouse locations onto existing farmland maps has n...
Remote-controlled UAS-based soil sampling offers great potential for scientific research and practical applications in various fields, including agriculture, environmental monitoring, hazardous waste, radiation measurements, chemical plants, snow sam...
Remote sensing is widely recognized as a key technology across a wide range of technical and scientific domains, especially in agriculture. Although satellite data have long supported crop monitoring, their limitations in spatial resolution, revisit...
Cultural heritage sites are affected by environmental and anthropogenic pressures that require decision-analysis methods capable of combining heterogeneous datasets while accounting for uncertainty. Multi-Criteria Decision Analysis (MCDA), particular...
