Title :
Retrieval of boreal forest parameters from CARABAS image texture
Author_Institution :
VTT Autom. Remote Sensing, Finland
Abstract :
The intensity of CARABAS SAR imagery has previously been used for stem volume retrieval in oak dominated forests. Lately the stem volume of boreal forests has been examined using the backscattered intensity as the starting point. The work presented here is based on studying the standard deviation of the backscattering coefficient σ0 rather than the intensity itself. The logarithm of the standard deviation of σ0 is regressed to the logarithm of the distance within which the standard deviation is calculated. In practice this is done using a block of 11×11 pixels so that the standard deviation of σ0 is averaged for all horizontal and vertical alternatives of equal length. The constant term and the coefficient of the linear term of the regression are the tools used for forest parameter retrieval
Keywords :
forestry; image texture; radar imaging; remote sensing by radar; synthetic aperture radar; CARABAS image texture; SAR imagery; backscattered intensity; backscattering coefficient; boreal forest parameters; constant term; distance; intensity; linear term; regression; stem volume; Automation; Backscatter; Image retrieval; Image texture; Optical sensors; Photography; Remote sensing; Rough surfaces; Testing; Volume measurement;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1999. IGARSS '99 Proceedings. IEEE 1999 International
Conference_Location :
Hamburg
Print_ISBN :
0-7803-5207-6
DOI :
10.1109/IGARSS.1999.774977