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Canadian Journal of Remote Sensing is a peer-reviewed journal published by Taylor & Francis, covering Remote Sensing in Agriculture, Remote Sensing and LiDAR Applications, Synthetic Aperture Radar (SAR) Applications and Techniques.
| Publisher | Taylor & Francis |
|---|---|
| Reference style | Author–year (Chicago, T&F) Author–year — (Smith, 2023) in the text Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Canadian Journal of Remote Sensing 12 (3): 45–58.
Formats any DOI in Canadian Journal of Remote Sensing style. No sign-up. |
| Publishes research in | Remote Sensing in Agriculture Remote Sensing and LiDAR Applications Synthetic Aperture Radar (SAR) Applications and Techniques Remote-Sensing Image Classification Soil Moisture and Remote Sensing |
| ISSN | 0703-8992 |
| Citation impact (2-yr) | 2.2 |
| h-index | 99 |
| i10-index | 1,095 |
| Total citations | 55,703 |
| Open access | Yes |
| Top institutions publishing here | Natural Resources Canada |
| Journal website | www.tandfonline.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
RÉSUMÉUn ratio simple modifié (MSR) est proposé pour extraire les paramètres biophysiques des forêts boréales à l'aide de données de télédétection. Cet indice de végétation est formulé en fonction de l'évaluation de plusieurs indices de végétation dérivés de la combinaison de deux bandes spectrales, dont les suivants : indice de végétation par différence normalisée ou…
In this paper, the effect of grey level quantization on the ability of co-occurrence probability statistics to classify natural textures is studied. Generally, as a function of increasing grey levels, many of the statistics demonstrate a decrease in classification ability while a few maintain constant classification accuracy. None of the individual statistics show increasing classification…
SUMMARYThe effects of topography on the radiometric properties of multispectral scanner (MSS) data are examined in the context of the remote sensing of forests in mountainous regions. The two test areas considered for this study are located in the coastal mountains of British Columbia, one at the Anderson River near Boston Bar and the other…
Forest inventory and management requirements are changing rapidly in the context of an increasingly complex set of economic, environmental, and social policy objectives. Advanced remote sensing technologies provide data to assist in addressing these escalating information needs and to support the subsequent development and parameterization of models for an even broader range of information needs.…
Abstract The main objective of this study was to develop reliable processing and analysis techniques to facilitate the use of small-footprint lidar data for estimating tree crown diameter by measuring individual trees identifiable on the three-dimensional lidar surface. In addition, the study explored the importance of the lidar-derived crown diameter for estimating tree volume and…
