Canadian Journal of Remote Sensing

Aims & Scope

Canadian Journal of Remote Sensing / Journal canadien de télédétection is a publication of the Canadian Aeronautics and Space Institute (CASI) and the official journal of the Canadian Remote Sensing Society (CRSS-SCT).

Canadian Journal of Remote Sensing provides a forum for the publication of scientific research and review articles.

The journal publishes topics including sensor and algorithm development, image processing techniques and advances focused on a wide range of remote sensing applications including, but not restricted to; forestry and agriculture, ecology, hydrology and water resources, oceans and ice, geology, urban, atmosphere, and environmental science.

Articles can cover local to global scales and can be directly relevant to the Canadian, or equally important, the international community.

The international editorial board provides expertise in a wide range of remote sensing theory and applications.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	2.1
2024	2.00

Journal Rank

Year	Value
2024	9444

Journal Citation Indicator

Year	Value
2024	365

SJR (SCImago Journal Rank)

Year	Value
2024	0.614

Quartile

Year	Value
2024	Q2

h-index

Year	Value
2024	87

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Earth and Planetary Sciences, designed to support cutting-edge academic discovery.

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Licensing & Copyright

This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.

Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Evaluation of Vegetation Indices and a Modified Simple Ratio for Boreal Applications

  Citation: 858

  Authors: Jing M.

• An analysis of co-occurrence texture statistics as a function of grey level quantization

  Citation: 760

  Authors: David A

• Remote Sensing Technologies for Enhancing Forest Inventories: A Review

  Citation: 634

  Authors: Joanne C., Nicholas C., Michael A., Mikko, Thomas, Piotr

• On the Slope-Aspect Correction of Multispectral Scanner Data

  Citation: 620

  Authors: P.M., B., D.G.

• Measuring individual tree crown diameter with lidar and assessing its influence on estimating forest volume and biomass

  Citation: 486

  Authors: Sorin C, Randolph H, Ross F

• Using airborne and ground-based ranging lidar to measure canopy structure in Australian forests

  Citation: 410

  Authors: J L, D L.B., D S, N C

• Pixel-Based Image Compositing for Large-Area Dense Time Series Applications and Science

  Citation: 362

  Authors: J. C., M. A., G. W., J. E., T., P., N. C., R. J., P., A., L.

• An approach for mapping large-area impervious surfaces: synergistic use of Landsat-7 ETM+ and high spatial resolution imagery

  Citation: 357

  Authors: Limin, Chengquan, Collin G, Bruce K, Michael J

• The advanced scatterometer (ASCAT) on the meteorological operational (MetOp) platform: A follow on for European wind scatterometers

  Citation: 355

  Authors: J., J J.W., E., R., M R, A.

• Hierarchy and Scaling: Extrapolating Information along a Scaling Ladder

  Citation: 347

  Authors: J.

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