Suitability of multifrequency, multipolarimetric and multitemporal radar data for forest monitoring

Keyphrases

• Radar Data 100%
• Aerial Image 100%
• Multi-frequency 100%
• Forest Monitoring 100%
• Comparative Analysis 50%
• Ground Truth Data 50%
• Germany 50%
• Munich 50%
• SAR Data 50%
• High Spatial Resolution 50%
• SIR-C 50%
• Radar Signal 50%
• SIR-C/X-SAR 50%
• Backscattering Coefficient 50%
• Geocoding 50%
• Information Content 50%
• Acquisition Mode 50%
• Tree Species 50%
• Image-to-image Registration 50%
• Visual Comparison 50%
• Analytical Evaluation 50%
• Altitude Difference 50%
• Vegetation Density 50%
• Stand Composition 50%
• Vegetation Gaps 50%
• Supersites 50%
• Signature Analysis 50%
• Structural Character 50%
• Full-polarimetric 50%
• Visual Signature 50%
• Shrub Density 50%

Earth and Planetary Sciences

• Synthetic Aperture Radar 100%
• Radar Data 100%
• Shuttle Imaging Radar 100%
• Aerial Photograph 100%
• Image Registration 50%
• Germany 50%
• High Spatial Resolution 50%
• Vegetation 50%
• Signature Analysis 50%

Agricultural and Biological Sciences

• Stand Composition 100%