Gaurav Chakrabarty

Hello to the world of Geospatial Science. I am Gaurav. My interest is to work on interdisciplinary projects to answer complex real-world questions. I started my career as an IT specialist with a project in detecting mine fire zones in the famous Coal belt area of India, Jharia Coal Field. After completing my post-graduation in Geoinformatics, in subsequent years, I have been applying my knowledge of Geospatial Science along with IT skills in the fields of Land Degradation, Water Quality Assessment, and Coal Mining. I’m highly motivated to work with AI algorithms to carry out more accurate and efficient analyses of geospatial data

About Me (Career Snapshot)

• Three years and 6 months of overall experience in Software Development, Geospatial Technology, Research and Training, Content Development, writing Technical Documents and Training Materials.
• Knowledge of programming languages like C, C++, C#.NET, VB.NET, and RDBMS software like Ms-Access, Oracle, PostgreSQL, and Ms-SQL Server.
• Knowledge of GIS and Image processing software like ArcGIS, QGIS, and ERDAS Imagine.
• Knowledge of WebGIS
• Knowledge of programming in MATLAB in the domain of Statistics, Image Processing, and Machine Learning.
• Good Communication and Presentation Skill.
• Good knowledge of Statistical Analysis.
• Avid learner and inquisitive to update with new technological skill sets.

Alma Mater

M.Sc. in Geoinformatics

Department of Remote Sensing, BIT Mesra, Ranchi, Jharkhand, India.

PGDIP in Applied Geoinformatics

Computer-Aided Design Centre, Jadavpur University, Kolkata, West Bengal, India

M.Sc. in Information Technology

Vinoba Bhabe University, Hazaribagh, Jharkhand India

Short Course

ESIIL Data Short Course on Earth Data Science (April 2024- )

Assignment 1: Climate Code Challenge: Get started with open reproducible science! (API version)

Bengaluru Time Series

In this project, minimum, maximum, and average temperature data in degrees Celsius from 1980-2023 are analyzed and finally, the Mean and Maximum annual temperature is plotted. Here is the plot of Annual Maximum Temperature

Assignment 2: Vegetation Coding Challenge

Vegetation

In this project, NDVI values are calculated and plotted for burned and un-burned areas over the period between 2018-2023. The Study area for this assignment is Cherry Canyon, Colorado, USA.

Certifications

• Certificate Course on Remote Sensing, GIS, GPS by Indian Institute of Remote Sensing & National Remote Sensing Agency, Department of Space, Govt. of India, in EDUSAT based training for Universities sponsored by National Natural Resource Management System (NNRMS) on DEC 2007
• Certificate Course on six months Industrial Training Programme on Web Designing, Web Development, and Web Hosting by Techno Point Computers, Registered under Ministry of Small Scale Industry, GOI on DEC 2013.
• Certificate Course on Object Oriented Programming Using C# from NIIT on July 2015.
• Certificate Course on WebGIS – from Concepts to Implementations from Jadavpur University, Kolkata on January 2017.
• Certificate Course on MATLAB from NIELIT Centre, Jadavpur Campus, Kolkata on April 2017 with Grade B+.
• Certificate Course on LAMP (Linux Apache Mysql and PHP) from NIELIT Centre, Jadavpur Campus, Kolkata on June 2017 for further Research work in WebGIS using OPEN Source Packages with Grade A.
• Certificate Course on Machine Learning and Digital Image Processing through MATLAB from NIELIT Centre, Jadavpur Campus, Kolkata with Grade A.
• SAR Image Processing using Open Source Software from Jadavpur University, Kolkata in December 2020.
• Analysis and Simulation of Urban Growth from Remote Sensing Data from Jadavpur University, Kolkata in March 2021.
• Programming ArcGIS with Python from Jadavpur University, Kolkata in Oct 2021.
• Certificate in Python & R Programming and Application to Data Analytics from St. Xavier College, Kolkata, India in March 2024.

Online Certifications

• ARSET - Overview of SeaDAS 8.4.1 for the Processing, Analysis, and Visualization of Optical Remote Sensing Data for Water Quality Monitoring on April 2024.
• ArcGIS Pro Basics from ESRI in March 2024
• Transform AEC Projects with GIS and BIM from ESRI in March 2024.
• SDG Indicator 2.4.1 Sustainable Agriculture from FAO in Feb 2024.
• ARSET - Satellite Data for Air Quality Environmental Justice and Equity Applications on Nov 2023.
• ARSET - Monitoring Water Quality of Inland Lakes using Remote Sensing on Oct 2023.
• ARSET - Assessing the Impacts of Fires on Watershed Health on Sept 2023.
• AI for India 2.0, IITM Research Park, issued Aug 2023.
• ARSET-Fundamentals of Machine Learning for Earth Science, issued Aug 2023.
• Python, IITM Research Park, issued Aug 2023.
• ARSET - Crop Mapping using Synthetic Aperture Radar (SAR) and Optical Remote Sensing on July 2023.
• ARSET- Biodiversity Applications for Airborne Imaging Systems on June 2023.
• ARSET- Connecting Citizen Science with Remote Sensing on March 2023.
• ARSET - Disaster Assessment Using Synthetic Aperture Radar from NASA (National Aeronautics and Space Administration) on January 2023.
• GIS for Climate Action from ESRI on Dec 2023.
• ARSET-Earth Observations Toolkit for Sustainable Cities and Human Settlements from NASA (National Aeronautics and Space administration) on April 2022.
• ARSET-Using Earth Observations for Pre- and Post-Fire Monitoring from NASA (National Aeronautics and Space Administration) on March 2022.
• ARSET - Monitoring Coastal and Estuarine Water Quality Using Remote Sensing and In Situ Data from NASA (National Aeronautics and Space Administration) on February 2022.
• ARSET - Agricultural Crop Classification with Synthetic Aperture Radar and Optical Remote Sensing from NASA (National Aeronautics and Space Administration) on December 2021.
• ARSET - Monitoring Coastal and Estuarine Water Quality: Transitioning from MODIS to VIIRS from NASA (National Aeronautics and Space Administration) on December 2021.
• Spatial Data Science: The New Frontier in Analytics from ESRI on December 2021
• Going Places with Spatial Analysis from ESRI on November 2021
• ARSET - Satellite Observations for Analysing Natural Hazards on Small Island Nations from NASA (National Aeronautics and Space Administration) on October 2021.
• MOOC Imagery in Action from ESRI on September 2021

Research Projects Completed

Development of Fire Index Ratio (Mine Fire) Software

CSIR-Central Institute of Mining and Fuel Research

Jan 2004-June 2004

Coal fire exists in many coal-bearing countries like the USA, South Africa, Venezuela, China, and India. Jharia Coal Mine (JCF), India has the largest prime coking coal resource in the world; however, these are endangered by the coal fires.

Different toxic and non-toxic fire gases are liberated due to the oxidation of coal in sealed-off coal mines. Monitoring of fire gases is mandatory for the determination of fire status. For that reason, different fire indices are determined to examine the extent of the fire. The indices are calculated by programming in Visual Basic 6.0 and stored in the Oracle 8i database. Further various graphs were generated to determine the fire status.

Vulnerability assessment of Dhanbad district using Remote Sensing and GIS and development of Information System (Predictor) using COM programming

Department of Remote Sensing, BIT Mesra, Ranchi, Jharkhand, India

Jan 2009-June 2009

The main objective of this project is to process the different hazards in the Dhanbad district viz. Land Degradation, Mine Fire, Air Pollution, and Water Pollution, and to prepare a vulnerability zonation map of the whole district to predict which hazard is most dangerous for the residents. A small software module Predictor is developed to perform the analysis using Visual Basic as the front end and Oracle 8i as the back end.

Design & Development of River Water Quality Management (RQM) Information System Using Data Visualization Techniques for River Stretches Blending with Multi-Industrial Effluents

Department of Computer Application, Vinoba Bhave University, Hazaribagh, Jharkhand, India

Jun 2013-Feb 2014

The River Quality Management is an information system developed to measure the current pollution level in a river stretch blended with multi-industrial outfall, analyze the situation, and take suitable measures to control the pollution level of the river stretch. The system takes into account various conservative as well as non-conservative pollution parameters and obtains the concentration of such parameters along the river stretch. For the same, the system incorporates various mathematical models for the computation of velocity variation along the river stretch, flow rate computation, and cross-sectional area computation. The system finally uses a three-dimensional water quality model to compute the concentration of vivid pollutants at various points in the river stretch to predict the quality of the river. The system uses Data Visualization techniques to plot graphs and analyze the current scenario of water pollution.

Feature Extraction and Classified Mapping in a specific Urban Area of KMC (Kolkata Municipal Corporation) using Geospatial techniques.

Computer-Aided Design Centre, Jadavpur University, Kolkata, West Bengal, India.

Aug 2018-Jan 2019

The major objective of this project is to extract, classify, and map vegetation and urban features from wards number 19 and 20 of the Kolkata Municipal Corporation (KMC) urban area. After extraction of the features, the outcomes are statistically analyzed and the results are compared ward-wise.

In this research,satellite data is used to generate a False Natural Color Composite (FNCC) image and then fused with PAN data. This fused image is used to vectorize ward boundaries and roads. The multispectral data is classified twice. In the first case, NDVI of the multispectral data is generated and then it is reclassified. This is used to extract the vegetation canopy. In the next case, the multispectral data is used for single-class classification to extract urban features.

From the secondary data, the Ms-Access database is created through manual input. Next, the geodatabase is created to include the spatially extracted data along with non-spatial data being joined from the Ms-Access database.

Finally, the statistics are generated from the extracted data, and charts are prepared along with map layouts.

Research works and Industrial Experience

Software Engineer

HCLTech, Plot no.5, Sector 12, MIHAN SEZ, Nagpur, Telhara, Maharashtra 441108, India

Dec 2021 -

Faculty and Research Associate

A-145. Sector - 63. Noida, U.P. 201301, India

May 2010 - March 2012

Project Trainee

CSIR-Central Institute of Mining and Fuel Research

Jan 2004 - Jun 2004

Publications

• Chakrabarty, G. and Kumar, R., 2007, “Relational Database Management System in GIS”, National Conference on High Resolution Remote Sensing & Thematic Applications organized by Indian Society of Remote Sensing, Dehradun in collaboration with National Atlas Thematic Mapping Organisation, Kolkata, 18-20, December.

• Chakrabarty, G. and Kumar, R., 2009, “Coal Fire Detection using Thermal Infrared Remote Sensing Technique”, National Seminar on “Recent Trends in Emerging Frontiers of Physical Sciences”, Organized by Sindri College, Sindri in association with B.I.T. Sindri, Dhanbad, 02-03, November.

• Chakrabarty, G., Nathawat, M. S., and Kumar, R., “An Assessment of Hazardous impacts of Coal Dust in Jharia Coal Field using GIS technique” International Conference on Environment, Resource and Regional Development, Burdwan held on 8-9 March 2010.

• Kumar, R., Chakrabarty, G., “Impacts of CoalFires on the Environment”, Mine Tech Volume 32, No. 4, P 30-39, ISSN 0970-7204, Oct-Dec 2011.

• Chakrabarty, G. and Kumar, R., “Application of Thermal Infrared Remote Sensing For Coal Fire Detection”, Mining Engineers’ Journal, Vol. 15, No. 2, P 26-29.ISSN 0975-3001, Sept 2013.

• Sundararajan, M., Chakrabarty, G., Mohan, A., “Development of River Quality Management (RQM) Information System for River Stretches Blending with MultiIndustrial Effluents”, International Journal of Engineering Research (IJER), Volume 3 Issue 12, P 769-773, Dec 2014.

• Chakrabarty, G., Kumar, R., Dwivedi, V. K., “Role of Decision Support System (DSS) and Knowledge Management System (KMS) in Natural and Man-Made Disaster Management”, International Conference on “Decision Support Systems for Early Warning and Mitigation of Disaster (DSS-EWMD)”, December 28-30,2014, National Institute of Technology, Durgapur, West Bengal, India.

Contact Information

Map of BIT Mesra