Title :
Retrieval of Forest Stand Age From SAR Image Texture for Varying Distance and Orientation Values of the Gray Level Co-Occurrence Matrix
Author :
Champion, Isabelle ; Germain, Cecile ; da Costa, J.P. ; Alborini, Arnaud ; Dubois-Fernandez, P.
Author_Institution :
Nat. Agronomical Res. Inst. (INRA), Villenave-d´Ornon, France
Abstract :
Data on forest variables (e.g., biomass, trunk height, density) are necessary for environmental and forest management applications. It has been shown that texture can be used instead of the usual σo/age relationships at P-band to retrieve plantation forest parameters, but the analysis of σo spatial characteristics has not been fully explored. The aim of this letter is to investigate the relationships between stand age (which is correlated to forest variables) and texture descriptors calculated from statistics generated by the gray-level co-occurrence matrix for varying distance d, and orientation α, values used to calculate the matrix. Synthetic aperture radar images are P-band airborne data acquired by the ONERA RAMSES instrument over a controlled homogeneous test site located in the Landes region, France. It is found that texture descriptors contrast, inverse difference moment, homogeneity, and correlation are strongly influenced by the parameters (d, α) related to forest stand structure (forest rows, stand density) and image resolution. In contrast, energy and entropy are observed to be highly correlated to stand age and displayed a stable performance whatever the distance and orientation parameters (d, α), thus rendering them a good contender as an alternative to the usual σo based relationships applied to this type of forest.
Keywords :
forestry; geophysical image processing; image texture; radar imaging; remote sensing by radar; synthetic aperture radar; vegetation mapping; France; Landes region; ONERA RAMSES instrument; P-band; SAR image texture; controlled homogeneous; distance values; energy; entropy; environmental management applications; forest biomass; forest density; forest management applications; forest rows; forest stand age retrieval; forest stand density; forest stand structure; forest trunk height; forest variable data; gray level cooccurrence matrix; image resolution; orientation values; plantation forest parameters; texture descriptor contrast; texture descriptor correlation; texture descriptor homogeneity; texture descriptor inverse difference moment; Biomass; Correlation; Image resolution; Image texture; Remote sensing; Synthetic aperture radar; Vegetation; Biomass; forestry; image texture analysis; radar applications; remote sensing; synthetic aperture radar (SAR);
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
DOI :
10.1109/LGRS.2013.2244060