SCIESCOPUSQ3
CANADIAN JOURNAL OF REMOTE SENSING
TAYLOR & FRANCIS INC, United Kingdom
CANADIAN JOURNAL OF REMOTE SENSING is an academic journal published by TAYLOR & FRANCIS INC (United Kingdom). Identifiers: ISSN 0703-8992, eISSN 1712-7971. Indexed in SCIE, SCOPUS. Metrics: JIF 2.1, CiteScore 4.9, SJR 0.614, SNIP 0.80. Subject areas: REMOTE SENSING. tlooto lists 2,046 papers from this journal.
CiteScore
4.90
Scopus citation metric
SJR
0.614
SCImago rank
SNIP
0.80
Source normalized impact
Percentage rank
-
JIF percentile rank
Journal profile
- ISSN
- 0703-8992
- eISSN
- 1712-7971
- Abbreviation
- CAN J REMOTE SENS
- Publisher
- TAYLOR & FRANCIS INC
- Country
- United Kingdom
Web of Science categories
SCIEREMOTE SENSING
Scopus ASJC categories
1900 General Earth and Planetary Sciences
Keywords
Remote Sensing
Papers in this journal
Recent papers
- Connecting remote sensing, Inuit Knowledge, and
in-situ
observations for monitoring landfast sea ice fracture development in Admiralty Inlet, Nunavut
2026
- Deep and machine learning in plant variety classification: A systematic global review of image processing approaches
2026
- Entropy-guided multi-scale spatial attention for discriminative coastal scene classification in high-resolution remote sensing images
2026
- Enhanced implementation of structural equation modeling for bulk density, carbon and carbon-to-nitrogen ratio within a boreal study region in Northern Ontario, Canada
2026
- Comparison of ALOS-2 PALSAR-2 L-band images for fuel moisture discrimination in forests in mountainous areas
2026
Most cited papers
- An analysis of co-occurrence texture statistics as a function of grey level quantization
2002 · 1,085 citations
- Evaluation of Vegetation Indices and a Modified Simple Ratio for Boreal Applications
1996 · 1,074 citations
- On the Slope-Aspect Correction of Multispectral Scanner Data
1982 · 893 citations
- Measuring individual tree crown diameter with lidar and assessing its influence on estimating forest volume and biomass
2003 · 764 citations
- Remote Sensing Technologies for Enhancing Forest Inventories: A Review
2016 · 728 citations