Research Areas

Research covered by this journal

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.

How to use this topic map

Choose the area that best describes the manuscript’s main scholarly contribution, then review the linked section scope. A topic match is a starting point; authors should also check the complete aims and scope.

Earth & Environmental Sciences

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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Earth & Environmental Sciences

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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Earth & Environmental Sciences

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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Earth & Environmental Sciences

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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Earth & Environmental Sciences

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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Earth & Environmental Sciences

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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Earth & Environmental Sciences

Geospatial Data Science

This section covers geospatial data science 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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Earth & Environmental Sciences

Cartography & Visualization

This section covers cartography & visualization 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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Earth & Environmental Sciences

GNSS & Positioning

This section covers gnss & positioning 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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Earth & Environmental Sciences

Geospatial Applications

This section covers geospatial applications 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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