Pemrosesan Interferometric Synthetic Aperture Radar (InSAR) untuk Eksplorasi …

Edisi

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ISBN/ISSN

9786232972636

Deskripsi Fisik

xvi, 82 hlm; 25 cm.

Judul Seri

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No. Panggil

621.3678 ASE p

Earthquake Damage Susceptibility Analysis in Barapani Shear Zone Using InSAR,…

The identification of areas that are susceptible to damage due to earthquakes is of utmost importance in tectonically active regions like Northeast India. This may provide valuable inputs for seismic hazard analysis; however, it poses significant challenges. The present study emphasized the integration of Interferometric Synthetic Aperture Radar (InSAR) deformation rates with conventional geolo…

A machine learning approach for mapping susceptibility to land subsidence cau…

Land subsidence is a worldwide threat that may cause irreversible damage to the environment and the infrastructures. Thus, identifying and mapping areas prone to land subsidence with accurate methods such as Land Subsidence Susceptibility Index (LSSI) mapping is crucial for mitigating the adverse impacts of this geohazard. Also, Machine Learning (ML) is now becoming a powerful tool to analyze v…

PS-InSAR derived deformation study in the Kachchh, Western India

The accumulation of crustal strain towards the western part of India, especially in the Kachchh Rift basin, is making one of the most seismically active parts of the Indian plate. Several strong to major earthquakes, including the recent 2001 (M7.7) Bhuj earthquake, were triggered in the Kachchh rift basin during the last two centuries. Therefore, in the present study, we have attempted to quan…

Pol-InSAR-Island - A benchmark dataset for multi-frequency Pol-InSAR data lan…

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 land cover classification. In recent years, machine learning has become a powerful tool for remote sensing image analysis. While there are numerou…

Multi-temporal InSAR tropospheric delay modelling using Tikhonov regularizati…

The increased availability of satellite SAR data coupled with improved InSAR processing algorithms has led to higher accuracy of InSAR-derived displacements. However, obtaining millimeter-level accuracy still remains a challenge due to the inability to accurately model the tropospheric delay, which is sometimes larger than the actual deformation. We propose to estimate the relative daily SAR tr…