Anurag Kulshrestha

University of Twente | UT · Department of Earth Observation Science (EOS)

State-of-the-art polarimetric decompositions are functional models that are capable of differentiating polarimetric signatures corresponding to different targets. One of the utilities of polarimetric decomposition is to manifest complex information from SAR images and classify targets/land cover based on the scattering mechanisms they follow, i.e.,...

Chapter 10 involves the fundamental principles and applications of different techniques of synthetic aperture radar (SAR), such as polarimetric SAR (PolSAR) and polarimetric SAR interferometry (PolInSAR), for the estimation of aboveground biomass (AGB) of sub-tropical forests. This estimation is vital as AGB is an important parameter for assessing...

Extracting meaningful attributes of radar scatterers from SAR images, PAZ in our case, facilitates a better understanding of SAR data and physical interpretation of deformation processes. The attribute categories and attribute extraction method are not yet thoroughly investigated. Therefore, this study recognizes three attribute categories: geometr...

Sinkholes exhibit precursory deformation patterns. Such deformation patterns can be studied using InSAR time-series analysis over constantly coherent scatterrers (CCS). In the past we identified Heaviside and Breakpoint changes as two important forms of anomalous behavior. It is challenging to efficiently detect and classify these sudden step and s...

Recently, we have shown that sinkholes can be characterized at an early stage by precursory deformation patterns from InSAR time series [1]. These patterns are often related to sudden changes in deformations or deformation velocities. With such a priori information, accurate deformation modelling and early detection of precursory patterns is feasib...

Sinkholes are sudden disasters that are usually small in size and occur at unexpected locations. They may cause serious damage to life and property. Sinkhole-prone areas can be monitored using Interferometric Synthetic Aperture Radar (InSAR) time series. Defining a pattern using InSAR-derived spatio-temporal deformations, this study presents a sink...

In the field of forestry studies, microwave remote sensing has broad applications due to the penetration into the semi-transparent media.This feature is used for the estimation of biophysical parameters and monitoring of deforestation.Therefore, the estimation of biophysical parameters is essential for assessing carbon stock management. Hence, the...

Night-time light remote sensing is used to monitor human impact on earth's surface. DMSP-OLS was the famous source of night-time light data until the release of a newer version of night-time light remote sensing satellite: SNPP-VIIRS, which has several improvements over DMSP-OLS. However, the dissemination of DMSP-OLS datasets was ceased for public...

Oil spills have been a cause of concern for environmental agencies, governments and coastal habitats. Accurate and fast knowledge about the location and characteristics of oil spills is extremely useful for oil spill containment and clean-up operations. In this research, the potential of polarimetric SAR data in detecting and characterizing oil spi...

Remote sensing using Synthetic Aperture Radar(SAR) is one of the most commonly used methods for detecting and characterising oil spills in seas and oceans. However, distinguishing true oil spills from false look-alikes like biogenic oil is a major challenge. The aim of this study is to use polarimetric decompositions like H/A/alpha decomposition an...