Written by The Photogrammetric Record
The Photogrammetric Record is a long-running scholarly journal published by Wiley on behalf of the Remote Sensing and Photogrammetry Society. It focuses on photogrammetry and remote sensing, providing a platform for research on how images, sensors, and spatial data can be used to measure, model, and understand the world around us.
A journal with a long view of a fast-moving field
First published in 1953, The Photogrammetric Record has documented decades of change in geospatial science. Over time, the field has evolved from traditional photographic measurement into a broader discipline that now includes 3D imaging, laser scanning, computer vision, and structure-from-motion techniques. The journal has remained relevant by reflecting both foundational methods and emerging technologies.
What does the journal cover?
The journal welcomes high-quality research across photogrammetry, remote sensing, 3D imaging, computer vision, and laser scanning, along with other non-contact sensing methods. That means its content can range from sensor calibration and image matching to point-cloud processing, 3D reconstruction, data fusion, and practical applications in mapping, environmental monitoring, infrastructure, heritage documentation, and beyond.
Why researchers pay attention
For researchers, the value of The Photogrammetric Record lies in its combination of technical depth and practical relevance. It publishes original, peer-reviewed work that advances photogrammetric knowledge while also showing how those methods are applied in real-world contexts. For practitioners in surveying, engineering, earth observation, and digital mapping, the journal offers insight into where the field is heading and which methods are shaping the next generation of geospatial workflows.
An upcoming special edition and call for papers
The journal also has an upcoming special edition titled The Multi-Modal Remote Sensing Foundation Model: Datasets, Methods, and Applications, which is currently inviting submissions through a call for papers. The issue is expected to spotlight emerging research at the intersection of remote sensing, multimodal learning, and foundation models, with a submission deadline of Monday, 30 November 2026. Topics for this call may include but not restricted to:
- Large-scale pre-training datasets
- General datasets for downstream tasks
- Sensor-agnostic architectures or remote sensing foundation models
- Domain knowledge-guided pre-training models
- Remote sensing vision foundation models
- Remote sensing vision-language foundation models
- Remote sensing vision-location foundation models
- Remote sensing generative foundation models
- Efficient fine-tuning methods for remote sensing foundation models
This call for papers reinforces how The Photogrammetric Record continues to engage with fast-developing topics and provide a venue for research that connects methodological innovation with real-world remote sensing applications.
In a discipline defined by rapid technical change, The Photogrammetric Record continues to serve as both a historical record and a window into the future. Its staying power reflects the ongoing importance of accurate measurement, robust spatial analysis, and innovation in how we capture and interpret the physical world. For anyone interested in the evolution of geospatial science, it remains a journal worth watching.
