ISPRS Geospatial Week 2025 brings together the photogrammetry, remote sensing, and spatial information science communities around a dense programme of co-located workshops and thematic sessions. For anyone planning to attend, the most important question is usually a practical one: what will actually be discussed? This guide walks through the key topics and research areas that have historically defined ISPRS Geospatial Week, so you can map your own interests onto the event and decide which sessions to prioritise. As always, treat this as an orientation to the field rather than a fixed agenda — for the confirmed session list, themes, and workshop titles you should consult the official ISPRS Geospatial Week 2025 website or ISPRS.org.
Unlike a single-track conference, Geospatial Week is a cluster of workshops that run in parallel, each organised by one or more ISPRS Working Groups. That structure is why the topic range is so broad, spanning sensor hardware, mathematical methods, and downstream applications. Below we group the recurring themes into families so you can see how they connect.
Photogrammetry and 3D Reconstruction at Geospatial Week 2025
Photogrammetry — deriving accurate geometry from imagery — remains a foundational thread of ISPRS Geospatial Week. Expect sessions on bundle adjustment, structure-from-motion, multi-view stereo, and dense image matching, typically alongside work on camera calibration and self-calibration for consumer and metric sensors. A closely related area is 3D reconstruction, where researchers present methods for turning images and range data into meshes, surface models, and semantically labelled scenes.
In recent editions, learning-based reconstruction has increasingly shared the stage with classical geometric approaches, and neural rendering techniques such as neural radiance fields and Gaussian splatting have started to appear in reconstruction-focused workshops. If your background is in surveying or computer vision, these sessions are often the natural entry point. For the wider context of how these themes fit the event, see our GSW 2025 program and themes overview.
Remote Sensing, Earth Observation and SAR
Remote sensing is the second pillar of the field and a major topic block at Geospatial Week 2025. This covers optical and multispectral/hyperspectral imaging, thermal sensing, and the analysis pipelines that turn raw data into land-cover maps, change detection, and environmental indicators. Synthetic aperture radar (SAR) usually has dedicated attention because of its all-weather, day-night capability and its value for deformation monitoring through interferometry (InSAR).
Practical application domains discussed here often include agriculture, forestry, urban growth, disaster response, coastal and cryosphere monitoring, and climate-related observation. Because satellite constellations and open data archives have grown enormously, sessions frequently touch on large-scale processing, cloud platforms, and time-series analysis. Readers who want the broader research picture may find our summary of emerging trends in geospatial science a useful companion.
LiDAR, Point Clouds and Mobile Mapping
LiDAR and point-cloud processing are among the most active research areas at ISPRS Geospatial Week. Typical topics include point-cloud registration and filtering, semantic segmentation, object extraction, ground and building classification, and the fusion of LiDAR with imagery. Data sources range from airborne and spaceborne systems to terrestrial and handheld scanners.
Mobile mapping systems — vehicles, backpacks, and UAVs carrying integrated cameras, LiDAR, GNSS and IMU — are a strong recurring theme, along with the calibration and trajectory-estimation challenges they raise. This is also where simultaneous localisation and mapping (SLAM) work appears prominently, particularly SLAM for kinematic mapping in GNSS-denied environments. The overlap between geospatial SLAM and robotics makes these sessions valuable for anyone working on autonomous systems.
UAV/Drone Mapping and HD Maps
Unmanned aerial vehicle (UAV) mapping has become a standard part of the ISPRS Geospatial Week landscape. Drone-focused sessions commonly address flight planning, low-cost sensor integration, corridor and infrastructure mapping, precision agriculture, and rapid response after natural hazards. Because drones democratise data capture, there is also steady interest in accuracy assessment and quality control for UAV-derived products.
High-definition (HD) maps for autonomous driving connect several of these threads — photogrammetry, LiDAR, SLAM, and mobile mapping — into a single application area. Expect discussion of lane-level mapping, road-feature extraction, map updating, and the integration of crowdsourced and sensor data. If you are trying to work out which of these tracks matches your role, our guide on who should attend Geospatial Week 2025 breaks the audience down by profession.
Geospatial AI, Machine Learning and Deep Learning
Artificial intelligence now cuts across nearly every topic at Geospatial Week 2025. Rather than sitting in one workshop, machine-learning methods appear in remote sensing classification, point-cloud understanding, image matching, and 3D scene interpretation. Deep learning for semantic segmentation and object detection is a mainstay, and more recent conversations extend to self-supervised learning, domain adaptation, transformer architectures, and geospatial foundation models trained on large Earth-observation archives.
These sessions tend to be popular because they combine methodological novelty with clear application value. They also raise cross-cutting questions — benchmark datasets, reproducibility, uncertainty estimation, and the responsible use of models — that recur throughout the week. For the definitive framing of the event and how these AI themes sit within it, our complete guide to ISPRS Geospatial Week 2025 is a good starting point.
Digital Twins, Real-Time Mapping and Cross-Cutting Themes
Several integrative themes tie the technical tracks together. Digital twins — living, sensor-fed 3D representations of cities, buildings, and infrastructure — pull on photogrammetry, LiDAR, semantics, and Building Information Modelling. Real-time and near-real-time mapping addresses the growing need for continuously updated spatial data in navigation, monitoring, and emergency management.
Beyond these, ISPRS Geospatial Week programmes often include sessions on spatial data infrastructures, standards and interoperability, open data and open science, geovisualisation, and the ethical and societal dimensions of geospatial technology. These broader discussions are part of what distinguishes the event from a purely technical meeting.
How to Navigate the Topics as an Attendee
With so much running in parallel, a little planning goes a long way. A useful approach is to pick one "home" theme that matches your core research or job — say, LiDAR processing or SAR — and then reserve time for one or two adjacent tracks, such as geospatial AI, that increasingly influence your home area. Keynotes and plenary sessions are worth attending regardless of specialism, as they usually frame where the whole field is heading.
- Identify your primary track from the confirmed workshop list on the official site.
- Add adjacent sessions where methods from your area are being applied, for example AI applied to your sensor of interest.
- Block out plenaries and keynotes, which give the big-picture context.
- Leave time for posters and networking, where much of the informal knowledge exchange happens.
Because the exact session titles, workshop organisers, and scheduling change from edition to edition, always verify the final programme against official ISPRS sources before you build your personal timetable. If you are still deciding whether the event is right for you, comparing it with the ISPRS congress — covered in our Geospatial Week vs ISPRS Congress guide — can help clarify what kind of gathering best fits your goals. Whatever your specialism, the breadth of key topics at ISPRS Geospatial Week 2025 means there is almost certainly a research community there working on problems close to your own.