Canadian Journal of Remote Sensing 

About: Canadian Journal of Remote Sensing is an academic journal published by Taylor & Francis. The journal publishes majorly in the area(s): Synthetic aperture radar & Thematic Mapper. It has an ISSN identifier of 0703-8992. Over the lifetime, 1802 publications have been published receiving 49711 citations. The journal is also known as: Can. j. remote sensing & Journal canadien de télédétection.

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

Abstract: 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 accuracy throughout all grey levels. Correlation analysis is used to rationalize a preferred subset of statistics. The preferred statistics set (contrast, correlation, and entropy) is demonstrated to be an improvement over using single statistics or using the entire set of statistics. If the feature space dimension only allows for a single statistic, one of contrast, dissimilarity, inverse difference normalized, or inverse difference moment normalized, is recommended. Testing that compares (using all orientations separately), the average of all orientations and look direction averaging, when determining the co-occurrenc...

On the Slope-Aspect Correction of Multispectral Scanner Data

Abstract: 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 at Gun Lake near Bralorne. The predominant forest type at the former site is Douglas fir, whereas forest types at the latter site are primarily lodgepole pine and ponderosa pine. Both regions have rugged topography, with elevations ranging from 330 to 1100 metres above sea level at Anderson River and from 750 to 1300 metres above sea level at Gun Lake.Lambertian and non-Lambertian illumination corrections are formulated, taking into account atmospheric effects as well as topographic variations. Terrain slope and aspect values are determined from a digital elevation model and atmospheric parameters are obtained from a model atmosphere computation for the solar angles an...

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

Abstract: RESUMEUn ratio simple modifie (MSR) est propose pour extraire les parametres biophysiques des forets boreales a l'aide de donnees de teledetection. Cet indice de vegetation est formule en fonction de l'evaluation de plusieurs indices de vegetation derives de la combinaison de deux bandes spectrales, dont les suivants : indice de vegetation par difference normalisee ou indice d'activite vegetale (NDVI), ratio simple (SR), indice de vegetation ajuste en fonction des sols (SAVI, SAVI1, SAVI2), indice de vegetation par difference ponderee (WDVI), indice de vegetation zonale (GEMI), indice de vegetation non lineaire (NLI) et indice de vegetation par difference renormalisee (RDVI). Le ratio simple modifie est une version amelioree des indices de vegetation par difference renormalisee et sert a delimiter les relations de ces derniers avec les parametres biophysiques. Tous les indices ont ete obtenus a partir d'images acquises par le capteur thematique de Landsat-5 dans les bandes 3 (visible) et 4 (proche infraro...

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

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 biomass. The lidar dataset was acquired over deciduous, coniferous, and mixed stands of varying age classes and settings typical of the southeastern United States. For identifying individual trees, lidar processing techniques used data fusion with multispectral optical data and local filtering with both square and circular windows of variable size. The crown diameter was calculated as the average of two values measured along two perpendicular directions from the location of each tree top by fitting a fourth-degree polynomial on both profiles. The lidar-derived tree measurements were used with regression models and cross-validation to es...

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

Abstract: Airborne and ground-based lidars are useful tools to probe the structure of forest canopies. Such information is not readily available from other remote sensing methods but is essential for modern forest inventory in which growth models and ecological assessment are becoming increasingly important. This study was undertaken to investigate the capacity of current airborne and ground-based ranging systems to provide data from which useful forest inventory parameters can be derived. Additional data collected included standard forest inventory, hemispherical photography, and optical point-quadrat sampling. Four contrasting study sites were established within an existing study area in the Bago and Maragle State Forests, New South Wales, Australia. A simple and standard set of models was fitted to the data to establish consistency between methods and current practice. Methods to reduce the bias induced by interaction of the size of the airborne laser scanner (ALS) footprint and thresholding used in ranging syst...