Advancing Geomatics: Innovation, Inclusivity, and Global Perspectives

In the past few years since its launch, Geomatics has addressed various areas that form the core of the interdisciplinary field of geomatics. The papers published so far focus on a variety of topics related to geospatial data collection, big data, analysis, and applications in geographic information systems, remote sensing, cartography and visualization, and spatial data infrastructures. The journal has progressively emphasized the integration of cutting-edge technologies and novel computational approaches, such as sensors, unmanned aerial vehicles (UAVs), artificial intelligence (AI), and machine learning (ML), which significantly impact the field and its potential applications in urban and environmental domains.

Several innovations in data collection technologies have been reported, including the use of UAVs and advanced laser technologies for tasks such as crop yield analysis and underwater infrastructure monitoring [1]. These innovative laser technologies have highlighted improvements in data accuracy and collection [2]. ML models are employed to recognize spatial patterns, such as land use prediction and urban expansion, enhancing accuracy by processing satellite imagery and high-resolution data [3]. Additionally, AI improves environmental monitoring by offering insights into how ecosystems respond to climate change through predictive modeling. For instance, several contributions use remote sensing data and machine learning models to track environmental changes, helping to understand the impacts of climate variability on ecosystems and vegetation dynamics while promoting carbon sequestration strategies [4]. AI also has notable applications in the maritime environment within geomatics. ML models are used for monitoring underwater infrastructures, enhancing accuracy in anomaly detection through technologies like green lasers. These models analyze real-time data to identify potential damages to maritime structures, such as ports and pipelines [5].

Geomatics should continue to prioritize interdisciplinary collaboration, promote inclusivity by ensuring accessibility for underrepresented communities, foster citizen science [6], and engage with ethical considerations surrounding data privacy and bias to foster responsible practices in research and application. A key aspect of this journal is its openness to addressing issues relevant to the Global South, where AI and geospatial technologies are leveraged to tackle climate change impacts, urban and maritime challenges, and promote environmental and agricultural sustainability for improved data-driven decision-making. As AI- and sensor-based technologies continue to develop, their integration into geomatics will likely enhance resilience and adaptability, paving the way for more sustainable and equitable solutions globally. By emphasizing capacity building and knowledge transfer, Geomatics should contribute to diffuse its findings to local scientists, communities, and decision-makers with the skills and tools necessary to leverage these technologies effectively. This inclusiveness reflects the journal’s commitment to using technology for global development, ensuring that solutions are accessible and applicable to diverse geographic regions, particularly those in the Global South.