Forest Variable Estimation Using Radargrammetric Processing of TerraSAR-X Images in Boreal Forests

Forest Variable Estimation Using Radargrammetric Processing of TerraSAR-X Images in Boreal Forests

The last decade has seen launches of radar satellite missions operating in X-band with the sensors acquiring images with spatial resolutions on the order of 1 m. This study uses digital surface models (DSMs) extracted from stereo synthetic aperture radar images and a reference airborne laser scanning digital terrain model to calculate the above-ground biomass and tree height. The resulting valu...

Interferometric Processing of TanDEM-X Images for Forest Height Estimation

Prediction of Forest Stand Attributes Using TerraSAR-X Stereo Imagery

Consistent, detailed and up-to-date forest resource information is required for allocation of forestry activities and national and international reporting obligations. We evaluated the forest stand attribute prediction accuracy when radargrammetry was used to derive height information from TerraSAR-X stereo imagery. Radargrammetric elevations were normalized to heights above ground using an air...

Combination of Low-pulse Als Data and Terrasar-x Radar Images in the Estimation of Plot-level Forest Variables

In the present study, the objective was to compare the accuracy of low-pulse airborne laser scanning (ALS), high-resolution noninterferometric TerraSAR-X (TSX) radar data and their combined feature set in the estimation of forest variables at the plot level. The variables studied included mean volume, basal area, mean height and mean diameter. Feature selection was based on a genetic algorithm ...

Comparing Accuracy of Airborne Laser Scanning and TerraSAR-X Radar Images in the Estimation of Plot-Level Forest Variables

In this study we compared the accuracy of low-pulse airborne laser scanning (ALS) data, multi-temporal high-resolution noninterferometric TerraSAR-X radar data and a combined feature set derived from these data in the estimation of forest variables at plot level. The TerraSAR-X data set consisted of seven dual-polarized (HH/HV or VH/VV) Stripmap mode images from all seasons of the year. We were...