Earth & Environmental Sciences

Journal of Remote Sensing and Geospatial Science

Advances remote sensing, geographic information science, Earth observation and spatial analytics. Submissions should document sensor or data characteristics, processing choices, validation design and geographic context, particularly where results are generalized across places or scales.

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About the Journal

Research with a clear disciplinary contribution

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.

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Research Areas

Choose the section that fits the work

Section scopes describe the topics covered and the contribution expected from submissions.

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Academic Section

Satellite Remote Sensing

This section covers satellite remote sensing within remote sensing and geospatial science. It welcomes foundational questions, methodological contributions and well-supported applications that make a clear scholarly contribution. Authors should identify the problem, explain why the chosen approach is suitable, and report the sources, methods, assumptions or evidence needed for readers to assess the work.

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Academic Section

GIS & Spatial Analysis

This section covers gis & spatial analysis within remote sensing and geospatial science. It welcomes foundational questions, methodological contributions and well-supported applications that make a clear scholarly contribution. Authors should identify the problem, explain why the chosen approach is suitable, and report the sources, methods, assumptions or evidence needed for readers to assess the work.

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Academic Section

Photogrammetry

This section covers photogrammetry within remote sensing and geospatial science. It welcomes foundational questions, methodological contributions and well-supported applications that make a clear scholarly contribution. Authors should identify the problem, explain why the chosen approach is suitable, and report the sources, methods, assumptions or evidence needed for readers to assess the work.

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Academic Section

Earth Observation AI

This section covers earth observation ai within remote sensing and geospatial science. It welcomes foundational questions, methodological contributions and well-supported applications that make a clear scholarly contribution. Authors should identify the problem, explain why the chosen approach is suitable, and report the sources, methods, assumptions or evidence needed for readers to assess the work.

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Academic Section

Radar Remote Sensing

This section covers radar remote sensing within remote sensing and geospatial science. It welcomes foundational questions, methodological contributions and well-supported applications that make a clear scholarly contribution. Authors should identify the problem, explain why the chosen approach is suitable, and report the sources, methods, assumptions or evidence needed for readers to assess the work.

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Academic Section

LiDAR

This section covers lidar within remote sensing and geospatial science. It welcomes foundational questions, methodological contributions and well-supported applications that make a clear scholarly contribution. Authors should identify the problem, explain why the chosen approach is suitable, and report the sources, methods, assumptions or evidence needed for readers to assess the work.

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Article Types

Forms of scholarly contribution

The journal considers the following types when the manuscript is appropriate to the section and meets the relevant methodological, reporting and ethics requirements.

Original Research ArticleReview ArticleSystematic ReviewShort CommunicationTechnical NotePerspectiveData / Resource Paper