Results 11 to 20 of about 746 (166)
Tropical-Forest-Parameter Estimation by Means of Pol-InSAR: The INDREX-II Campaign [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2009 This paper addresses the potential and limitations of polarimetric synthetic aperture radar (SAR) interferometry (Pol-InSAR) inversion techniques for quantitative forest-parameter estimation in tropical forests by making use of the unique data set acquired in the frame of the second Indonesian Airborne Radar Experiment (INDREX-II) campaign - including ...
Irena Hajnsek +2 more
exaly +2 more sources
TanDEM-X Pol-InSAR Inversion for Mangrove Canopy Height Estimation
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015 This paper presents mangrove canopy height estimations using single- and dual-pol TanDEM-X (TDX) data by means of Pol-InSAR techniques. Using the TDX data for forest applications, the penetration capability of X-band into the volume and the polarimetric diversity of interferometric coherence can create false effects that could sometimes lead to biased ...
Seung-Kuk Lee, Temilola Fatoyinbo
exaly +2 more sources
Antarctic snow-covered sea ice topography derivation from TanDEM-X using polarimetric SAR interferometry [PDF]
The Cryosphere, 2021 Single-pass interferometric synthetic aperture radar (InSAR) enables the possibility for sea ice topographic retrieval despite the inherent dynamics of sea ice. InSAR digital elevation models (DEMs) are measuring the radar scattering center height.
L. Huang +3 more
doaj +1 more source
Pol-Insar Forest Height Inversion Using Tomosar Reflectivity Profiles [PDF]
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021 The realistic parameterization of the underlying (vertical) radar reflectivity profile is critical for a model-based inversion of forest height from polarimetric interferometric (Pol-InSAR) data. Indeed, an appropriate parameterization not only affects the final estimation performance, but also enables the inversion from a reduced observation space in ...
Guliaev, Roman +3 more
openaire +2 more sources
Remote Sensing, 2023 Polarimetric Synthetic Aperture Radar Interferometry (Pol-InSAR) based forest height estimation for ecosystem monitoring and management has been developing rapidly in recent years. Spaceborne Pol-InSAR systems with long temporal baselines of several days
Chang Liu +4 more
doaj +1 more source
EVALUATION OF AIRBORNE L- BAND MULTI-BASELINE POL-INSAR FOR DEM EXTRACTION BENEATH FOREST CANOPY [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 DEM beneath forest canopy is difficult to extract with optical stereo pairs, InSAR and Pol-InSAR techniques. Tomographic SAR (TomoSAR) based on different penetration and view angles could reflect vertical structure and ground structure.
W. M. Li +4 more
doaj +1 more source
Forest Height Estimation by Means of TanDEM-X InSAR and Waveform Lidar Data
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Model-based forest height inversion from Pol-InSAR data relies on the realistic parameterization of the underlying (vertical) radar reflectivity function.
Roman Guliaev +3 more
doaj +1 more source
LabSAR, a one-GCP coregistration tool for SAR–InSAR local analysis in high-mountain regions
Frontiers in Remote Sensing, 2022 The coregistration of single-look complex (SLC) SAR images for InSAR or offset tracking applications is often performed by using an accurate DEM and precise orbital information. However, in cold regions, such DEMs are rare over high-latitude areas or not
Flora Weissgerber +5 more
doaj +1 more source
Remote Sensing, 2022 This paper proposes an improved model-based forest height inversion method for airborne L-band dual-baseline repeat-pass polarimetric synthetic aperture radar interferometry (PolInSAR) collections.
Qi Zhang +4 more
doaj +1 more source
Radiometric Terrain Flattening of Geocoded Stacks of SAR Imagery
Remote Sensing, 2023 We have described an efficient approach to radiometrically flatten geocoded stacks of calibrated synthetic aperture radar (SAR) data for terrain-related effects.
Piyush S. Agram +3 more
doaj +1 more source