Pol-InSAR-Island - A benchmark dataset for multi-frequency Pol-InSAR data land cover classification [PDF]
This paper presents Pol-InSAR-Island, the first publicly available multi-frequency Polarimetric Interferometric Synthetic Aperture Radar (Pol-InSAR) dataset labeled with detailed land cover classes, which serves as a challenging benchmark dataset for ...
Joel Amao-Oliva +2 more
exaly +7 more sources
Coherence Characteristics of Snow/Ice-Covered Areas Based on Space-Based Polarimetric Synthetic Aperture Radar Observations [PDF]
Coherent space-based InSAR observations over snow- and ice-covered areas have been a valuable resource for cryospheric research. Coherence is considered a critical parameter for evaluating the quality of InSAR observations.
Sang-Hoon Hong +2 more
doaj +2 more sources
Polarimetric Time-Series InSAR for Surface Deformation Monitoring in Mining Area Using Dual-Polarization Data [PDF]
Timely and reliable surface deformation monitoring is critical for hazard prevention and resource management in mining areas. However, traditional Time-Series Interferometric (TSI) Synthetic Aperture Radar techniques often suffer from low coherent point ...
Xingjun Ju, Sihua Gao, Yongfeng Li
doaj +2 more sources
Pol-InSAR sensitivity to hemi-boreal forest structure at L- and P-bands
A dual-frequency approach is proposed to discriminate hemi-boreal forest species using L- and P-band data. First, it is shown that L-band is less sensitive to the forest structure than P-band.
Samira Hosseini, Franck Garestier
exaly +3 more sources
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.
Linlin Ge, Ruiheng Zhang, Chang Liu
exaly +3 more sources
Observing Seasonal Variabilities of a Permafrost Landscape With PolSAR, InSAR and Pol-InSAR [PDF]
Synthetic aperture radar (SAR) remote sensing is an established approach for observing Earth processes. The combination of different types of SAR acquisitions in polarimetric, interferometric, and polarimetric-interferometric frameworks is well studied ...
Paloma Saporta +5 more
doaj +4 more sources
Forest Height Estimation Based on P-Band Pol-InSAR Modeling and Multi-Baseline Inversion
The Gaussian vertical backscatter (GVB) model has a pivotal role in describing the forest vertical structure more accurately, which is reflected by P-band polarimetric interferometric synthetic aperture radar (Pol-InSAR) with strong penetrability.
Shuai Jiang +2 more
exaly +3 more sources
A Modified Three-Stage Inversion Algorithm Based on R-RVoG Model for Pol-InSAR Data
In this paper, a modified two-layer scattering model is applied to a three-stage algorithm for high-precision retrieval of forest parameters from Polarimetric Synthetic Aperture Radar Interferometry (Pol-InSAR) data. Traditional Random-Volume-over-Ground
Teng Long, Zegang Ding
exaly +3 more sources
Estimation of Glacier Ice Extinction Using Long-Wavelength Airborne Pol-InSAR [PDF]
In the recent years, there has been increased interest in using synthetic aperture radar (SAR) to study and monitor glaciers and ice sheets for glaciological and climate change research. This paper describes the estimation of ice extinctions through the modeling of polarimetric interferometric SAR (Pol-InSAR) coherences as a combination of a surface ...
Irena Hajnsek +2 more
exaly +6 more sources
Globally available high-resolution information about canopy height and AGB is important for carbon accounting. The present study showed that Pol-InSAR data from TS-X and RS-2 could be used together with field inventories and high-resolution data such as ...
Sandra Lohberger +2 more
exaly +3 more sources

