Journal of Remote Sensing and Geospatial Science

Journal overview

Journal of Remote Sensing and Geospatial Science is a journal in the EJSIR Publisher programme, focused on Remote Sensing and Geospatial Science. Its scope is organized into academic sections covering Satellite Remote Sensing, GIS & Spatial Analysis, Photogrammetry, Earth Observation AI, Radar Remote Sensing, LiDAR, Geospatial Data Science, Cartography & Visualization, GNSS & Positioning and Geospatial Applications. This structure helps authors assess disciplinary fit and gives readers a clear route through the journal’s subject coverage.

The journal welcomes original research article, review article, systematic review, short communication and other contributions described in its author guidance when they fit the scope. Research may use field sampling, laboratory measurements, remote sensing, GIS, spatial statistics, Earth-system models or longitudinal environmental data. Authors should document site selection, instruments, resolution, calibration, data processing and model assumptions, and distinguish observed results from projections or interpretations. Authors should engage relevant scholarship, explain the contribution and report limitations needed for critical assessment.

Editorial assessment considers journal fit, methodological or interpretive quality, research integrity and clarity. The stated review model is double-anonymous peer review, normally with at least two independent reviewers. Publisher policies on ethics, access, authorship, conflicts, data and corrections apply alongside this journal’s scope. Submission information is provided on this site; manuscripts can be submitted only after the journal’s submission route opens.

Academic remit

The journal aims to publish research that improves understanding of Earth processes, environmental change and interactions among land, water, atmosphere, ecosystems and society. It welcomes observational, experimental, geospatial and modelling studies when data and methods are transparent and conclusions reflect the scope of the evidence. The central contribution should fit at least one of the journal’s academic sections and be meaningful to readers in remote sensing and geospatial science.

Research may use field sampling, laboratory measurements, remote sensing, GIS, spatial statistics, Earth-system models or longitudinal environmental data. Authors should document site selection, instruments, resolution, calibration, data processing and model assumptions, and distinguish observed results from projections or interpretations. Authors should define the research question, connect the approach to the question, describe sources or materials and analytical choices, and provide enough information for critical assessment. Interdisciplinary work is welcome when its relevance to the journal is clear and the methods used for each component are explained.

Interpretations and claims should follow from the reported evidence. Authors should identify uncertainty, limitations and alternative explanations where relevant, and distinguish demonstrated results from implications or future work. Studies involving people, animals, sensitive data or protected material should describe applicable ethics, consent, privacy and permissions.

Maps or datasets without an analytical research question, environmental claims without adequate spatial or temporal context, and forecasts presented without uncertainty or validation fall outside scope. Manuscripts outside the listed sections or lacking an assessable scholarly contribution may be declined at editorial screening. The section descriptions below provide more detailed guidance on topic fit.