Error Sources of Interferometric Synthetic Aperture Radar Satellites

YY Wu, A Madson - Remote Sensing, 2024 - mdpi.com
Interferometric synthetic aperture radar (InSAR) processing techniques have been widely
used to derive surface deformation or retrieve terrain elevation. Over the development of the …

Global seasonal Sentinel-1 interferometric coherence and backscatter data set

J Kellndorfer, O Cartus, M Lavalle, C Magnard, P Milillo… - Scientific Data, 2022 - nature.com
This data set is the first-of-its-kind spatial representation of multi-seasonal, global C-band
Synthetic Aperture Radar (SAR) interferometric repeat-pass coherence and backscatter …

Sentinel-1 InSAR coherence for land cover map**: A comparison of multiple feature-based classifiers

AW Jacob, F Vicente-Guijalba… - IEEE Journal of …, 2020 - ieeexplore.ieee.org
This article investigates and demonstrates the suitability of the Sentinel-1 interferometric
coherence for land cover and vegetation map**. In addition, this study analyzes the …

[HTML][HTML] Unlocking the full potential of Sentinel-1 for flood detection in arid regions

S Garg, A Dasgupta, M Motagh, S Martinis… - Remote Sensing of …, 2024 - Elsevier
Climate change has intensified flooding in arid and semi-arid regions, presenting a major
challenge for flood monitoring and map**. While satellites, particularly Synthetic Aperture …

Radarsat-1 and ERS InSAR analysis over southeastern coastal Louisiana: Implications for map** water-level changes beneath swamp forests

Z Lu, O Kwoun - IEEE Transactions on Geoscience and Remote …, 2008 - ieeexplore.ieee.org
Detailed analysis of C-band European Remote Sensing 1 and 2 (ERS-1/ERS-2) and
Radarsat-1 interferometric synthetic aperture radar (InSAR) imagery was conducted to study …

Hybrid approach for unbiased coherence estimation for multitemporal InSAR

M Jiang, X Ding, Z Li - IEEE Transactions on Geoscience and …, 2013 - ieeexplore.ieee.org
The coherence of radar echoes is a fundamental observable in interferometric synthetic
aperture radar (InSAR) measurements. It provides a quantitative measure of the scattering …

Could vegetation index be derive from synthetic aperture radar?–the linear relationship between interferometric coherence and NDVI

Z Bai, S Fang, J Gao, Y Zhang, G **, S Wang, Y Zhu… - Scientific Reports, 2020 - nature.com
Due to many factors in the physical properties of the ground surface, the corresponding
interferometric coherence values change dynamically over time. Among these factors, the …

Multitemporal SAR and polarimetric SAR optimization and classification: Reinterpreting temporal coherence

J Ni, C López-Martínez, Z Hu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In multitemporal synthetic aperture radar (SAR) and polarimetric SAR (PolSAR), coherence
is a capital parameter to exploit common information between temporal acquisitions. Yet, its …

Bathymetric prediction using multisource gravity data derived from a parallel linked BP neural network

H Sun, Y Feng, Y Fu, W Sun, C Peng… - Journal of …, 2022 - Wiley Online Library
Gravity anomalies (GAs) and vertical gravity gradient anomalies (VGGs) are regularly used
to predict bathymetry. However, few studies have explored the combination of the GAs and …

InSAR coherence-decomposition analysis

T Wang, M Liao, D Perissin - IEEE Geoscience and Remote …, 2009 - ieeexplore.ieee.org
The phase coherence in synthetic aperture radar interferometry is often used in classification
algorithms to detect possible temporal changes of the imaged terrain. However, in mountain …