Remote Sensing of Land - Gatha Cognition

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Cover of Remote Sensing of Land

Journal Open access Double-blind peer review

Remote Sensing of Land

'Remote Sensing of Land' (RSL) publishes double-blind peer-reviewed articles within all fields of remote sensing of the land.

ISSN 2582-3019 (online) DOI 10.21523/gcj1 2 online issue per year Since 2017

Editor-in-Chief Dr. Suresh Kumar (Agriculture, Forestry & Ecology Group, Indian Institute of Remote Sensing, Dehra Dun -248001, Uttarakhand, India.)

Managing Editor Dr. Kalpana Bhagat ORCID (Gatha Cognition.)

Articles published
38
Crossref citations
292
Citation ratio · Crossref
7.68
Citation ratio · OpenAlex
9.55

Citation ratio = citations ÷ all articles published since the first issue.

Call for papers

Call for papers. ‘Remote Sensing of Land’ invites Original Research Papers, Technical Papers, Review Articles and Book Reviews for publication in its upcoming issues.

Remote sensing is a key science and technology for information and knowledge about the land. Remotely sensed data offer a synoptic view, many sensors with different spatial, temporal and radiometric resolutions, and a digital format, so their use keeps growing — in agriculture, mining, urban planning, water resources, forestry and many other fields.

‘Remote Sensing of Land’ collects high-quality papers on applications and on new algorithms, techniques and methods for the remote sensing and analysis of land.

Open Access free of charge in 2026. All articles submitted to ‘Remote Sensing of Land’ in 2026 are published free of charge and are freely accessible to readers.
Topics

The journal covers these topics, but is not limited to them:

  • Remote sensing sensors, including Synthetic Aperture Radar (SAR), optical, thermal and Light Detection and Ranging (LiDAR)
  • Remote sensing in Geographic Information Systems (GIS)
  • Innovative methods and techniques for data analysis, interpretation, mapping and classification
  • Multi-sensor and multi-temporal data analysis
  • Applied methods in earth sciences and land applications
  • Machine learning in remote sensing
  • Ground-based and airborne sensors in land applications
Subjects and readers

Subjects covered: Space technology, remote sensing, GIS, cartography, earth sciences, geology, geography, environmental sciences, soil science, agriculture, forestry.

Readers: Scientists, engineers, managers, academicians and students interested in geospatial analysis, mapping and monitoring of the earth’s surface.

Article types
Original Research PaperReports the results of original research.
Technical PaperA brief, complete account of a specific application of a technique (4–5 pages).
Review ArticleProgress, gaps and trends in earlier research; submitted directly or on invitation.
Book ReviewA concise review (about 500 words) of a recent book relevant to the journal.
How to submit
  1. Prepare your manuscript as the Author Guide describes.
  2. Submit it on the Manuscript Portal — register as an author, or sign in, and choose ‘Remote Sensing of Land’.
  3. Your manuscript gets double-blind peer review, and once accepted it is published Online First with a Crossref DOI.
Fees
  • No fee to submit or be reviewed, and no page or colour charges.
  • In 2026, every article is published free of charge and Open Access.