Hasmukh Varchand | Remote Sensing | Best Researcher Award

Mr. Hasmukh Varchand, Remote Sensing, Best Researcher Award

Doctorate at The Charutar Vidya Mandal University, India

Summary:

Mr. Hasmukh Varchand is a dedicated PhD student at N. V. Patel College of Pure and Applied Sciences, CVM University, specializing in Physics. His research focuses on hyperspectral signal analysis using the radiative transfer approach for airborne and satellite observations. Currently, he is developing algorithms for the detection and estimation of carbon dioxide and methane emissions using remote sensing data. With three years of experience in groundbreaking research, Mr. Varchand has presented his findings at national and international conferences and published in reputable journals. He holds a Master’s degree in Physics from Sardar Patel University and a Bachelor’s degree from Krantiguru Shyamji Krishna Verma Kachchh University. Beyond academia, he actively participates in professional societies like the Indian Society of Remote Sensing and the IEEE Geoscience and Remote Sensing Society.

Professional Profile:

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πŸ‘©β€πŸŽ“Education & Qualification:

Mr. Hasmukh Varchand’s educational background is as follows:

Ph.D. in Physics:

  • N. V. Patel College of Pure and Applied Sciences, CVM University (Currently pursuing)

M.Sc. in Physics:

  • Sardar Patel University, 2019

B.Sc. in Physics:

  • Krantiguru Shyamji Krishna Verma Kachchh University, 2017

Professional experience: Β 

Mr. Hasmukh Varchand brings a wealth of experience in the field of remote sensing and environmental research. With a focus on hyperspectral signals and radiative transfer modeling, he has been actively involved in developing algorithms for detecting and estimating carbon dioxide and methane emissions using airborne and spaceborne satellite data. His collaboration with scientists from the Space Application Centre (SAC) – ISRO has further enhanced his expertise in sensor systems for greenhouse gas detection applications. Hasmukh has presented his groundbreaking research findings at various national and international conferences and has contributed significantly to reputable journals of Elsevier and IEEE. His proactive engagement in professional societies like the Indian Society of Remote Sensing (ISRS) and the IEEE Geoscience and Remote Sensing Society (IEEE-GRS) underscores his commitment to advancing knowledge and fostering connections within the academic community.

Research Interest:

Hyperspectral signal analysis: Studying hyperspectral signals using the radiative transfer approach for airborne and satellite observations.

Theoretical modeling: Developing theoretical models for radiative transfer to better understand and interpret remote sensing data.

Greenhouse gas detection: Investigating algorithms and sensor systems for the detection and estimation of carbon dioxide and methane emissions.

Remote sensing applications: Exploring the application of remote sensing techniques in environmental monitoring and climate change studies.

Collaborative research: Engaging in collaborative research initiatives with experts from the Space Application Centre (SAC) – ISRO and other institutions to advance knowledge in remote sensing and environmental science.

Publication Top Noted:

CO2 concentration retrieval and emission rate estimation over Indian thermal power plants using radiative transfer approach and AVIRIS-NG data

  • Authors: HK Varchand, MR Pandya, JA Dave, PN Parmar, HJ Trivedi, DB Shah, …
  • Journal: Remote Sensing Applications: Society and Environment
  • Volume: 33
  • Year: 2024

Comparative analysis of two parameter-dependent split window algorithms for the land surface temperature retrieval using MODIS TIR observations

  • Authors: JA Dave, MR Pandya, DB Shah, HK VARCHAND, PN Parmar, HJ Trivedi, …
  • Journal: Journal of Agrometeorology
  • Volume: 25
  • Year: 2023

Point Source Carbon Dioxide Emission Monitoring Using Radiative Transfer Simulations and AVIRIS-NG Data

  • Authors: HK Varchand, MR Pandya, JA Dave, PN Parmar, HJ Trivedi
  • Conference: 2022 URSI Regional Conference on Radio Science (USRI-RCRS)
  • Year: 2022

Atmospheric Column Water Vapor Retrieval using Atmospheric Precorrected Differential Absorption Technique from AVIRIS-NG Data

  • Authors: JA Dave, MR Pandya, HK Varchand, PN Parmar, HJ Trivedi, VN Pathak
  • Conference: 2022 URSI Regional Conference on Radio Science (USRI-RCRS)
  • Year: 2022

Heat Wave Study using Satellite LST and Air Temperature Data over Gujarat Region

  • Authors: PN Parmar, MR Pandya, JA Dave, HK Varchand, HJ Trivedi
  • Conference: 2022 URSI Regional Conference on Radio Science (USRI-RCRS)
  • Year: 2022

 

 

Gebiaw T. Ayele | Land use change impact study

Dr. Gebiaw T. Ayele: Leading Researcher in Land use change impact study

πŸŽ‰ Congratulations Dr. Gebiaw T. Ayele on Winning the Best Paper Award! πŸ† Your dedication to research, mentorship, and collaboration with international teams is truly commendable. This award is a testament to your outstanding work and the impact it has on the broader community.

Professional Profile:

πŸ“š Professional Summary:

  • PhD in Hydrology from Griffith University, Australia.
  • MSc in Hydraulic and Water Resources; BSc in Water Resources.
  • Certificate in Integrated Decision Support System; Best Practice Drinking Water Quality Management; Manage Conflict through Negotiation (Prevention/De-Escalation); Construction Contract Management.
  • Expertise in catchment erosion, sediment and pollutant modeling for policy decisions.
  • Proficient in hydraulic, hydrodynamic, water quality, and sediment transport models.
  • Skilled in farm to basin-scale simulation models (SWAT) integrating climate, soil, land use, and landscape data.
  • Extensive experience in GIS and remote sensing (ERDAS, ENVI) for water resources applications.
  • Coding capability for big data management on HPC clusters.
  • Recognized in the “talent pool” at the NSW Department of Planning and Environment.
  • Currently a ‘Water Quality Processes Officer’ monitoring 32 water treatment plants and regulated towns.
  • 15+ years of experience as a hydrologist in industry, teaching, research, and consultancy in Africa, Australia, and New Zealand.
  • Recognized by Australian Freshwater Sciences Society; 2021 INTECOL International Wetlands Conference.
  • Received over 10 grants; 45+ peer-reviewed publications.

πŸŽ“ Education:

  • PhD in Hydrology and Water Resources, Griffith University, Australia (2023).
  • MSc in Hydraulics and Water Resources, Arba Minch University, Ethiopia (2012).
  • BSc in Water Resources Engineering, Bahir Dar Institute of Technology, Ethiopia (2007).

🏒 Professional Experience:

  • Water Quality Processes Officer, Victoria, Australia (May 2023-present).
  • Doctoral Researcher, Griffith University, Australia (Feb 2019–April 2023).
  • Teaching and Research, Australian Rivers Institute Griffith University, Australia (Dec 2016–April 2023).
  • Consultant, University Lecturer, and Researcher, Blue Nile Water Institute and Bahir Dar University, Ethiopia (Nov 2012–Dec 2015).
  • Research Assistant, International Water Management Institute (IWMI), East Africa, Addis Ababa, Ethiopia (Apr 2011–Oct 2012).
  • Research Assistant, Horn of Africa Regional Environment Centre and Network – Demand Driven Action Research Program (HoARECN-DDAR) (Apr 2010–Jun 2012).
  • Instructor and Department Head, Department of Rural Water Supply and Sanitation, Bahir Dar Polytechnic College, Ethiopia (Oct 2007–Oct 2008).

🌐 Professional Memberships:

  • International Society of Limnology (SIL).
  • New Zealand Freshwater Sciences Society (NZFSS).
  • Australian Freshwater Sciences Society (AFSS).
  • National Wetland Trust of New Zealand (NWT).
  • American Geophysical Union (AGU).
  • New Zealand Lakes Water Quality Society (LWQS).
  • International Association of Sedimentologists (IAS).

πŸ† Awards and Grants:

  • Australian Rivers Institute International Conference Travel Grant 2022.
  • AFSS Bill Williams Scholarship 2022.
  • Griffith University IEIS Grant 2022.
  • NZFSS V.H. Jolly Award 2022.
  • Multiple research and publication grants 2022, 2023.
  • Griffith University GUIPRS 2019.
  • University of Strathclyde Excellence Scholarship Award 2018.
  • Blue Nile Water Institute 2014.
  • IWMI-CGIAR-CCAFS 2012.
  • HoARECN 2011.
  • Arba Minch University Graduate Scholarship 2010.

πŸ“ Selected Conference Presentations and Invited Talks:

  • Reconstructing 1000 years of climate data for lake modeling (Nov 2022).
  • Modeling the impact of forestry on water quality for Lake Okareka (Nov 2022).
  • Non-stationarity of streamflow and nutrient loads in a temperate catchment (Oct 2021).

πŸ“– Publications Top Noted:

  • Non-stationarity of streamflow and nutrient loads in a temperate catchment (Environmental Monitoring and Assessment, 2023).
  • Land use and climate change effects on streamflow and nutrient loads (Land, 2023).
  • Relationship of attributes of soil and topography with land cover change in Ethiopia (Remote Sensing, 2022).
  • Sediment yield and reservoir sedimentation in dynamic watersheds (Water, 2021).
  • Terrain effects on spatial variability of soil properties (Soil Systems, 2019).
  • Time series land cover mapping in northern Ethiopia (Air, Soil and Water Research, 2018).
  • Streamflow and sediment yield prediction in the Upper Blue Nile River Basin (Water, 2017).
  • Spatio-temporal analysis of water storage variation in East Africa lake basins (Journal of Hydrology, 2022).

The paper “Streamflow and Sediment Yield Prediction for Watershed Prioritization in the Upper Blue Nile River Basin, Ethiopia” by Dr. Gebiaw T. Ayele and collaborators focuses on predicting streamflow and sediment yield to aid in prioritizing watersheds in the Upper Blue Nile River Basin, Ethiopia. Here’s a breakdown of the important content:

🌍 Context:

  • Location: Upper Blue Nile River Basin, Ethiopia.
  • Objective: Prioritize watersheds based on streamflow and sediment yield predictions.

πŸ“Š Methodology:

  • Models Used: The study likely employed hydrological models for prediction.
  • Data Sources: Climate, land use, soil, and landscape data were probably integrated into the models.
  • Spatial Scale: Assessment at the watershed level.

🚰 Key Findings:

  • Streamflow Prediction: Insights into the expected water flow in the Upper Blue Nile River Basin.
  • Sediment Yield Prediction: Understanding the likely sediment transport patterns.

πŸ—ΊοΈ Application:

  • Watershed Prioritization: The predictions contribute to identifying priority areas for conservation or management interventions.

πŸ€” Significance:

  • Resource Management: Helps in planning and managing water resources efficiently.
  • Environmental Conservation: Supports initiatives for soil and water conservation.

🌐 Contextualization:

  • Regional Implications: Findings might be relevant for broader regional water resource management strategies.
  • Climate Resilience: Insight into streamflow is crucial for addressing climate resilience in the region.

πŸ“ˆ Scientific Contribution:

  • Model Validation: If applicable, the study likely validated the predictive models used.
  • Advance in Knowledge: Contributes to the scientific understanding of hydrological processes in the Upper Blue Nile River Basin.

πŸ” Further Reading:

  • Researchers, policymakers, and practitioners in hydrology and water resource management would find value in the detailed methodology and findings.