Shashwat Shukla - Academia.edu (original) (raw)

Papers by Shashwat Shukla

Spirituality in Clinical Practice

The credo of the Bhagwat Gita, a prominent spiritual book of Hindus is considered philosophical i... more The credo of the Bhagwat Gita, a prominent spiritual book of Hindus is considered philosophical in nature. Despite having spiritual and religious value this book have many ingredients which can be of great compliment to psychology. More precisely, The Bhagwat Gita is a tềtề-ấ-tềtề between The Krishna, who acted as a therapist for patient, The Arjuna, suffering from Anxiety, Grief, Guilt, Fear and Depression in-spite of being the greatest warrior of that time. Entire episode of this book is a compilation of cognitive behavioral therapy sessions. The Krishna altered the distorted thinking, emotions and behavior of The Arjuna by his therapy and Arjuna showed respect and devotion towards his Therapist. Fear of sin and losing loved ones were the reason for Arjuna's suffering while The Krishna removed the cloud of doubts from his mind by delivering the knowledge of Karma(Action), Yoga(Skill in action), Nirvana (Detachment) and eternity of soul. CBT can be made easier if the patient is categorized according to his Gunas as mentioned in The Gita. Similarly, detachment of self ego from the conduct as preached in this book can relieve person from all kinds of negative thinking and haziness in mind. The Gita instruct that complete devotion towards the therapist and actions according to his words leads subject to cure.

Remote Sensing

The Moon has a large potential for space exploration and mining valuable resources. In particular... more The Moon has a large potential for space exploration and mining valuable resources. In particular, 3He provides rich sources of non-radioactive fusion fuel to fulfill cislunar and Earth’s energy demands, if found economically feasible. The present study focuses on developing advanced techniques to prospect 3He resources on the Moon from multi-sensor remote sensing perspectives. It characterizes optical changes in regolith materials due to space weathering as a new retention parameter and introduces a novel machine learning inversion model for retrieving the physical properties of the regolith. Our analysis suggests that the reddening of the soil predominantly governs the retention, along with attenuated mafic band depths. Moreover, semi-variograms show that the spatial variability of 3He is aligned with the episodic weathering events at different timescales. We also observed that pyroclastic regoliths with high dielectric constant and increased surface scattering mechanisms exhibite...

The Moon serves as an attic to the Earth's treasure by preserving the volatile repository from th... more The Moon serves as an attic to the Earth's treasure by preserving the volatile repository from the harsh space environment. The exposure of the lunar surface to the solar wind plasma results in the implantation of potential 3 He into the top 1 mm of the regolith. The retention of the 3 He primarily depends on the regional ilmenite content and maturation subject to the solar wind plasma supply. In the present research, an attempt is made to explore the influence of petrophysical properties of the regolith on the retained 3 He using multisensor approach. The retention framework is improved by incorporating the associated effects of space weathering on the regolith materials, which are represented by spectral parameters. The integration of the spectral parameters, plasma flux, and ilmenite content leads to a novel hybrid variable that is directly compared with the in-situ 3 He measurements at the Apollo and Luna landing sites. Considering the independence of the space weathering processes, the correlation analysis suggests that the predicted 3 He contents are in close agreement with the actual abundance. However, all the weathering processes lead to the reduction of Fe 2+ into the nanophase metallic iron particles, thereby interrelating to each other. The applicability of the weighted average linear combination is utilized to model the unknown inherent relationship between the weathering trends. Upon comparing with the in-situ 3 He, the RMSE reduces to 1.17 ppb compared to the independent approach. The empirical relationship is applied to the Vallis Schroteri region, wherein the high 3 He abundant regions emerge out to be pyroclastic deposits and localized hotspots near the primary rille and Agricola Mountains. It is also observed that the two dominant processes governing the abundance are attenuation of the mafic absorption band depths and reddening of the soil. However, a different scenario all together appears for the 3 He abundance per unit area, wherein the soil chemistry proves to be a deciding factor. The spatial variability of the 3 He abundant regolith is found to be aligned with the episodic space weathering events over the geological timescale, clearly indicated by the cyclic behaviour of the variogram trends. Moreover, the highly retained 3 He content may be oriented at around 135º relative to other directions. The lower cutoff and width increases the spatial variability of the deposition. The retention of the 3 He is found to be associated with the petrophysical properties of the soil. This is clearly illustrated by comparing the retrieved scattering mechanisms, dielectric content, and geotechnical variations. In the research, the utility of the radar backscatter is modelled as a function of incidence angle, dielectric constant and surface roughness. The sensitivity analysis is performed, which provides the bounding limits of the realistic surface parameters and radar configuration. This is fed into the multilayer perceptron neural network for performing the inversion based on multivariate regression. The inverted dielectric constant shows an RMSE of 0.26. The retrieval process is applied to the monostatic data of the landing sites, wherein the inverted values are in close agreement with the actual values. Upon testing the study site, the pyroclastic regoliths are associated with high dielectric constant and increased surface scattering mechanisms. The regolith is also characterized by lower void spaces between the grains and higher relative density. Due to the freshly formed microcraters, the excavation of the rocks from the interior lowers the penetration of the radar wave, thereby increasing the granular packing of the gardened regolith. As the dielectric contrast increases, the retention of the lower 3 He ejecta regolith increases, attributing to the roughness variations. The observation is also aligned with the CPR. Moreover, the abundance is negatively correlated with the void ratio for shorter lag distances. On the contrary, the higher abundant pyroclastic regolith relates well with the surface scattering mechanisms associated with cyclicity. An opposition is also observed in this to the bistatic angle with a more significant exponential depth profile. Furthermore, retention modelling provides new insights into the potential mining operations for the lunar outposts. The study recommends a deeper exploration of the pyroclastic regoliths through rover, thereby contributing to the lunar mining paradigm.

Bulletin of the AAS, 2021

Bulletin of the AAS, 2021

An essential aspect of space exploration is the study of the geological makeup of any interplanet... more An essential aspect of space exploration is the study of the geological makeup of any interplanetary body and the Moon has been a source of great fascination for scientific researchers in this field. Lunar surface mineralogy provides significant shreds of evidence for interpreting the composition and evolution of the planet’s crust. Spectral changes due to perpetuated exposure of the planetary surface to the space environment could be quantified using geological remote sensing. These optical properties depend on relative rates of surface modification processes. Assessment of the measure of lunar soil evolution may be denoted in terms of Optical Maturity (OMAT). Optical maturity parameter is an indicator of the maturity of lunar regolith and hence, its estimation is of great importance in studying the geological characterization of the lunar surface. Also, lunar mineral exploitation may be of significant importance in the near future. Synergetic use of spectral reflectance of lunar s...

This research has defined, briefly some of the key issues and trends in industrial relations in t... more This research has defined, briefly some of the key issues and trends in industrial relations in the wake of globalization with particular reference to india. This is linked to the ilo global product on supporting collective bargaining and sound industrial and employment relations, involving close collaboration between the industrial and employment relations. the national studies aim at analyzing the degree of employee participation within the enterprise, the forms such participation has taken, the issues that have been its focus, and its impact on workers’ rights, employment conditions, and the economic efficiency of the enterprise. Employee participation at workplace level facilitates better labour-management communication, prevents and absorbs disputes and helps to find solutions for both work and production-related issues. It has also the potential to reflect the voices of those whose trade union representation tends to be either low or absent. Various employee participation prac...

This paper is about gender classification using face image and voice of a speaker. The basic aim ... more This paper is about gender classification using face image and voice of a speaker. The basic aim of the paper is to predict the gender of speaker through voice sample using Auto-correlation method and predict the gender of speaker through their face image using fisher face algorithm and integrated the obtained to increase the accuracy of gender classifier. The algorithm has been applied with the help of MATLAB programming. A collected database of voice samples and image samples of male and female students has been concerned. The classification algorithm is applied on the database and accuracy of gender classifier is determined.

Identifying Human Emotion is important in facilitating communication and interactions between ind... more Identifying Human Emotion is important in facilitating communication and interactions between individuals. They are also used as an important mean in studying behavioral Science and in studying Psychological changes. Since face is the prime source for recognizing human emotion, the proposed system will provide a quick and practical approach for non-invasive emotion detection. The recognition of emotions is done by deploying an intelligent system using neural network, signal processing and image processing toolbox of Matlab 7.12.0(R2011a). The network classifier is pattern recognition network which is actually a feed forward neural network that will be trained for some images bearing different emotions. The trained network is then simulated to test the new data for recognizing different emotions.

Bulletin of the AAS, 2021

Bulletin of the AAS, 2021

Bulletin of the AAS, 2021

Bulletin of the AAS, 2021

The presence of meters-thick polar deposits exposed directly on the surface of Mercury provides u... more The presence of meters-thick polar deposits exposed directly on the surface of Mercury provides unique science opportunities that should be prioritized in the next decade of planetary exploration. The poles of Mercury provide a natural laboratory for understanding the chemical, physical, and thermal processes that have governed the supply, retention, modification, and loss of water and other volatiles delivered to the inner solar system through time. Polar deposits on Mercury are composed primarily of water ice, and the additional and coincident presence of organic-rich frozen volatiles exposed on the surface offers a nearby opportunity to study the chemistry of extremely lowtemperature, icy environments applicable to the Moon, asteroids, comets, and icy worlds of the outer solar system. Understanding the processes responsible for the delivery and storage of volatiles on Mercury would greatly enhance our ability to understand the origin and distribution of resources across the inner solar system, including at the lunar poles.

Bulletin of the AAS, 2021

Artificial Neural Networks and Machine Learning – ICANN 2020, 2020

In this paper we present a Spiking Neural Network (SNN) for autonomous navigation, inspired by th... more In this paper we present a Spiking Neural Network (SNN) for autonomous navigation, inspired by the chemotaxis network of the worm Caenorhabditis elegans. In particular, we focus on the problem of contour tracking, wherein the bot must reach and subsequently follow a desired concentration setpoint. Past schemes that used only klinokinesis can follow the contour efficiently but take excessive time to reach the setpoint. We address this shortcoming by proposing a novel adaptive klinotaxis mechanism that builds upon a previously proposed gradient climbing circuit. We demonstrate how our klinotaxis circuit can autonomously be configured to perform gradient ascent, gradient descent and subsequently be disabled to seamlessly integrate with the aforementioned klinokinesis circuit. We also incorporate speed regulation (orthokinesis) to further improve contour tracking performance. Thus for the first time, we present a model that successfully integrates klinokinesis, klinotaxis and orthokinesis. We demonstrate via contour tracking simulations that our proposed scheme achieves an 2.4x reduction in the time to reach the setpoint, along with a simultaneous 8.7x reduction in average deviation from the setpoint.

ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018

The aim of this study is to explore the applicability of Agent Based Modelling (ABM) for the simu... more The aim of this study is to explore the applicability of Agent Based Modelling (ABM) for the simulation of rainfall runoff and soil erosion used in a watershed monitoring activity. The study utilizes Landsat 8 imagery for Land Use Land Cover (LULC) map generation, ASTER DEM for obtaining elevation information and Climate Forecast System Reanalysis (CFSR) 36 year weather data of Asan watershed, Uttarakhand, India. In the proposed model, four major agents (raindrops, soil, elevation and water amount) have been defined for estimating the soil erosion in the region. Moreover, the direct runoff has been simulated using the Soil Conservation Service (SCS) method. The analysis of the entire time series using this approach shows that there have been substantial changes in the rainfall runoff pattern primarily due to the varying environmental conditions of the study area since the late 1980s. Furthermore, a rough estimate of the soil erosion and deposition in the area have been computed which is aligned with the theory of sediment transport and deposition. In order to automate the entire model workflow, an open source cross platform tool has been developed using Python, R and NetLogo libraries. The Open Agent Based Runoff and Erosion Simulation (OARES) tool incorporates a generic interface for analysing large spatio-temporal datasets in watershed studies. The overall analysis concludes that the results obtained using ABM are comparable to that of the conventional hydrological models, and henceforth, ABM could be utilized as a future potential hydrological modelling paradigm.

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018

Accurate monitoring of satellites plays a pivotal role in analysing critical mission specific par... more Accurate monitoring of satellites plays a pivotal role in analysing critical mission specific parameters for estimating orbital position uncertainties. An appropriate database management system (DBMS) at the software end, could prove its potential as a convenient solution over the existing file based two line element (TLE) data structure. The current web-based satellite tracking systems, such as n2yo, satview, and satflare, are unable to provide location-based satellite monitoring. Moreover, the users need to zoom into the displayed world map for obtaining information of the satellites that are currently over the respective area. Also, satellite searching is a cumbersome task in these web-based systems. In this research work, a systematic approach has been utilised to develop a generic opensource Web-GIS based tool for addressing the aforementioned issues. This tool incorporates a PostgreSQL database for storing the parsed TLE data which are freely available on the CelesTrak (NORAD) repository. Our choice of selecting PostgreSQL as a backend DB is primarily due to its open source and scalable properties compared to other resource intensive databases. Using suitable python libraries (e.g. Skyfield and Orbit-Predictor), the position and velocity at any point of time can be accurately estimated. For this purpose, the tool has been tested on several cities for displaying location-based satellite tracking that includes different types of space-objects.

Spirituality in Clinical Practice

The credo of the Bhagwat Gita, a prominent spiritual book of Hindus is considered philosophical i... more The credo of the Bhagwat Gita, a prominent spiritual book of Hindus is considered philosophical in nature. Despite having spiritual and religious value this book have many ingredients which can be of great compliment to psychology. More precisely, The Bhagwat Gita is a tềtề-ấ-tềtề between The Krishna, who acted as a therapist for patient, The Arjuna, suffering from Anxiety, Grief, Guilt, Fear and Depression in-spite of being the greatest warrior of that time. Entire episode of this book is a compilation of cognitive behavioral therapy sessions. The Krishna altered the distorted thinking, emotions and behavior of The Arjuna by his therapy and Arjuna showed respect and devotion towards his Therapist. Fear of sin and losing loved ones were the reason for Arjuna's suffering while The Krishna removed the cloud of doubts from his mind by delivering the knowledge of Karma(Action), Yoga(Skill in action), Nirvana (Detachment) and eternity of soul. CBT can be made easier if the patient is categorized according to his Gunas as mentioned in The Gita. Similarly, detachment of self ego from the conduct as preached in this book can relieve person from all kinds of negative thinking and haziness in mind. The Gita instruct that complete devotion towards the therapist and actions according to his words leads subject to cure.

Remote Sensing

The Moon has a large potential for space exploration and mining valuable resources. In particular... more The Moon has a large potential for space exploration and mining valuable resources. In particular, 3He provides rich sources of non-radioactive fusion fuel to fulfill cislunar and Earth’s energy demands, if found economically feasible. The present study focuses on developing advanced techniques to prospect 3He resources on the Moon from multi-sensor remote sensing perspectives. It characterizes optical changes in regolith materials due to space weathering as a new retention parameter and introduces a novel machine learning inversion model for retrieving the physical properties of the regolith. Our analysis suggests that the reddening of the soil predominantly governs the retention, along with attenuated mafic band depths. Moreover, semi-variograms show that the spatial variability of 3He is aligned with the episodic weathering events at different timescales. We also observed that pyroclastic regoliths with high dielectric constant and increased surface scattering mechanisms exhibite...

The Moon serves as an attic to the Earth's treasure by preserving the volatile repository from th... more The Moon serves as an attic to the Earth's treasure by preserving the volatile repository from the harsh space environment. The exposure of the lunar surface to the solar wind plasma results in the implantation of potential 3 He into the top 1 mm of the regolith. The retention of the 3 He primarily depends on the regional ilmenite content and maturation subject to the solar wind plasma supply. In the present research, an attempt is made to explore the influence of petrophysical properties of the regolith on the retained 3 He using multisensor approach. The retention framework is improved by incorporating the associated effects of space weathering on the regolith materials, which are represented by spectral parameters. The integration of the spectral parameters, plasma flux, and ilmenite content leads to a novel hybrid variable that is directly compared with the in-situ 3 He measurements at the Apollo and Luna landing sites. Considering the independence of the space weathering processes, the correlation analysis suggests that the predicted 3 He contents are in close agreement with the actual abundance. However, all the weathering processes lead to the reduction of Fe 2+ into the nanophase metallic iron particles, thereby interrelating to each other. The applicability of the weighted average linear combination is utilized to model the unknown inherent relationship between the weathering trends. Upon comparing with the in-situ 3 He, the RMSE reduces to 1.17 ppb compared to the independent approach. The empirical relationship is applied to the Vallis Schroteri region, wherein the high 3 He abundant regions emerge out to be pyroclastic deposits and localized hotspots near the primary rille and Agricola Mountains. It is also observed that the two dominant processes governing the abundance are attenuation of the mafic absorption band depths and reddening of the soil. However, a different scenario all together appears for the 3 He abundance per unit area, wherein the soil chemistry proves to be a deciding factor. The spatial variability of the 3 He abundant regolith is found to be aligned with the episodic space weathering events over the geological timescale, clearly indicated by the cyclic behaviour of the variogram trends. Moreover, the highly retained 3 He content may be oriented at around 135º relative to other directions. The lower cutoff and width increases the spatial variability of the deposition. The retention of the 3 He is found to be associated with the petrophysical properties of the soil. This is clearly illustrated by comparing the retrieved scattering mechanisms, dielectric content, and geotechnical variations. In the research, the utility of the radar backscatter is modelled as a function of incidence angle, dielectric constant and surface roughness. The sensitivity analysis is performed, which provides the bounding limits of the realistic surface parameters and radar configuration. This is fed into the multilayer perceptron neural network for performing the inversion based on multivariate regression. The inverted dielectric constant shows an RMSE of 0.26. The retrieval process is applied to the monostatic data of the landing sites, wherein the inverted values are in close agreement with the actual values. Upon testing the study site, the pyroclastic regoliths are associated with high dielectric constant and increased surface scattering mechanisms. The regolith is also characterized by lower void spaces between the grains and higher relative density. Due to the freshly formed microcraters, the excavation of the rocks from the interior lowers the penetration of the radar wave, thereby increasing the granular packing of the gardened regolith. As the dielectric contrast increases, the retention of the lower 3 He ejecta regolith increases, attributing to the roughness variations. The observation is also aligned with the CPR. Moreover, the abundance is negatively correlated with the void ratio for shorter lag distances. On the contrary, the higher abundant pyroclastic regolith relates well with the surface scattering mechanisms associated with cyclicity. An opposition is also observed in this to the bistatic angle with a more significant exponential depth profile. Furthermore, retention modelling provides new insights into the potential mining operations for the lunar outposts. The study recommends a deeper exploration of the pyroclastic regoliths through rover, thereby contributing to the lunar mining paradigm.

Bulletin of the AAS, 2021

Bulletin of the AAS, 2021

An essential aspect of space exploration is the study of the geological makeup of any interplanet... more An essential aspect of space exploration is the study of the geological makeup of any interplanetary body and the Moon has been a source of great fascination for scientific researchers in this field. Lunar surface mineralogy provides significant shreds of evidence for interpreting the composition and evolution of the planet’s crust. Spectral changes due to perpetuated exposure of the planetary surface to the space environment could be quantified using geological remote sensing. These optical properties depend on relative rates of surface modification processes. Assessment of the measure of lunar soil evolution may be denoted in terms of Optical Maturity (OMAT). Optical maturity parameter is an indicator of the maturity of lunar regolith and hence, its estimation is of great importance in studying the geological characterization of the lunar surface. Also, lunar mineral exploitation may be of significant importance in the near future. Synergetic use of spectral reflectance of lunar s...

This research has defined, briefly some of the key issues and trends in industrial relations in t... more This research has defined, briefly some of the key issues and trends in industrial relations in the wake of globalization with particular reference to india. This is linked to the ilo global product on supporting collective bargaining and sound industrial and employment relations, involving close collaboration between the industrial and employment relations. the national studies aim at analyzing the degree of employee participation within the enterprise, the forms such participation has taken, the issues that have been its focus, and its impact on workers’ rights, employment conditions, and the economic efficiency of the enterprise. Employee participation at workplace level facilitates better labour-management communication, prevents and absorbs disputes and helps to find solutions for both work and production-related issues. It has also the potential to reflect the voices of those whose trade union representation tends to be either low or absent. Various employee participation prac...

This paper is about gender classification using face image and voice of a speaker. The basic aim ... more This paper is about gender classification using face image and voice of a speaker. The basic aim of the paper is to predict the gender of speaker through voice sample using Auto-correlation method and predict the gender of speaker through their face image using fisher face algorithm and integrated the obtained to increase the accuracy of gender classifier. The algorithm has been applied with the help of MATLAB programming. A collected database of voice samples and image samples of male and female students has been concerned. The classification algorithm is applied on the database and accuracy of gender classifier is determined.

Identifying Human Emotion is important in facilitating communication and interactions between ind... more Identifying Human Emotion is important in facilitating communication and interactions between individuals. They are also used as an important mean in studying behavioral Science and in studying Psychological changes. Since face is the prime source for recognizing human emotion, the proposed system will provide a quick and practical approach for non-invasive emotion detection. The recognition of emotions is done by deploying an intelligent system using neural network, signal processing and image processing toolbox of Matlab 7.12.0(R2011a). The network classifier is pattern recognition network which is actually a feed forward neural network that will be trained for some images bearing different emotions. The trained network is then simulated to test the new data for recognizing different emotions.

Bulletin of the AAS, 2021

Bulletin of the AAS, 2021

Bulletin of the AAS, 2021

Bulletin of the AAS, 2021

The presence of meters-thick polar deposits exposed directly on the surface of Mercury provides u... more The presence of meters-thick polar deposits exposed directly on the surface of Mercury provides unique science opportunities that should be prioritized in the next decade of planetary exploration. The poles of Mercury provide a natural laboratory for understanding the chemical, physical, and thermal processes that have governed the supply, retention, modification, and loss of water and other volatiles delivered to the inner solar system through time. Polar deposits on Mercury are composed primarily of water ice, and the additional and coincident presence of organic-rich frozen volatiles exposed on the surface offers a nearby opportunity to study the chemistry of extremely lowtemperature, icy environments applicable to the Moon, asteroids, comets, and icy worlds of the outer solar system. Understanding the processes responsible for the delivery and storage of volatiles on Mercury would greatly enhance our ability to understand the origin and distribution of resources across the inner solar system, including at the lunar poles.

Bulletin of the AAS, 2021

Artificial Neural Networks and Machine Learning – ICANN 2020, 2020

In this paper we present a Spiking Neural Network (SNN) for autonomous navigation, inspired by th... more In this paper we present a Spiking Neural Network (SNN) for autonomous navigation, inspired by the chemotaxis network of the worm Caenorhabditis elegans. In particular, we focus on the problem of contour tracking, wherein the bot must reach and subsequently follow a desired concentration setpoint. Past schemes that used only klinokinesis can follow the contour efficiently but take excessive time to reach the setpoint. We address this shortcoming by proposing a novel adaptive klinotaxis mechanism that builds upon a previously proposed gradient climbing circuit. We demonstrate how our klinotaxis circuit can autonomously be configured to perform gradient ascent, gradient descent and subsequently be disabled to seamlessly integrate with the aforementioned klinokinesis circuit. We also incorporate speed regulation (orthokinesis) to further improve contour tracking performance. Thus for the first time, we present a model that successfully integrates klinokinesis, klinotaxis and orthokinesis. We demonstrate via contour tracking simulations that our proposed scheme achieves an 2.4x reduction in the time to reach the setpoint, along with a simultaneous 8.7x reduction in average deviation from the setpoint.

ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018

The aim of this study is to explore the applicability of Agent Based Modelling (ABM) for the simu... more The aim of this study is to explore the applicability of Agent Based Modelling (ABM) for the simulation of rainfall runoff and soil erosion used in a watershed monitoring activity. The study utilizes Landsat 8 imagery for Land Use Land Cover (LULC) map generation, ASTER DEM for obtaining elevation information and Climate Forecast System Reanalysis (CFSR) 36 year weather data of Asan watershed, Uttarakhand, India. In the proposed model, four major agents (raindrops, soil, elevation and water amount) have been defined for estimating the soil erosion in the region. Moreover, the direct runoff has been simulated using the Soil Conservation Service (SCS) method. The analysis of the entire time series using this approach shows that there have been substantial changes in the rainfall runoff pattern primarily due to the varying environmental conditions of the study area since the late 1980s. Furthermore, a rough estimate of the soil erosion and deposition in the area have been computed which is aligned with the theory of sediment transport and deposition. In order to automate the entire model workflow, an open source cross platform tool has been developed using Python, R and NetLogo libraries. The Open Agent Based Runoff and Erosion Simulation (OARES) tool incorporates a generic interface for analysing large spatio-temporal datasets in watershed studies. The overall analysis concludes that the results obtained using ABM are comparable to that of the conventional hydrological models, and henceforth, ABM could be utilized as a future potential hydrological modelling paradigm.

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018

Accurate monitoring of satellites plays a pivotal role in analysing critical mission specific par... more Accurate monitoring of satellites plays a pivotal role in analysing critical mission specific parameters for estimating orbital position uncertainties. An appropriate database management system (DBMS) at the software end, could prove its potential as a convenient solution over the existing file based two line element (TLE) data structure. The current web-based satellite tracking systems, such as n2yo, satview, and satflare, are unable to provide location-based satellite monitoring. Moreover, the users need to zoom into the displayed world map for obtaining information of the satellites that are currently over the respective area. Also, satellite searching is a cumbersome task in these web-based systems. In this research work, a systematic approach has been utilised to develop a generic opensource Web-GIS based tool for addressing the aforementioned issues. This tool incorporates a PostgreSQL database for storing the parsed TLE data which are freely available on the CelesTrak (NORAD) repository. Our choice of selecting PostgreSQL as a backend DB is primarily due to its open source and scalable properties compared to other resource intensive databases. Using suitable python libraries (e.g. Skyfield and Orbit-Predictor), the position and velocity at any point of time can be accurately estimated. For this purpose, the tool has been tested on several cities for displaying location-based satellite tracking that includes different types of space-objects.