Revue Francaise de Photogrammetrie et de Teledetection

Aims & Scope✦ Inferred from recent articles

The journal focuses on photogrammetry and remote sensing, with a strong emphasis on the processing and analysis of satellite and aerial imagery. Recent articles highlight the use of advanced techniques like deep learning (e.g., NeRF) and traditional methods (e.g., SGM, MGM) for generating 3D models, digital surface models (DSM), and digital terrain models (DTM). Applications include environmental monitoring (vegetation, coastal habitats, glaciers, coral reefs), urban planning, disaster assessment (wind events, earthquakes), and heritage conservation. There is a significant focus on hyperspectral imaging and its applications, as well as the development and evaluation of new sensors and processing tools.

AI-summarised from recent articles · verify on publisher page →

Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.

Source: OpenAlex · Note: citations accumulate over time so older years appear higher

SJR Quartile by Discipline

Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.

Subject Classification