Research Interests
Prof. Sharma’s research focuses on the use of advanced Remote Sensing data and GIS tools to analyze various environmental systems, including land-use and land-cover changes, saline wetlands, climate change impacts, human–environment interactions, forest fire, and disaster management. He has utilized multi-sensor advanced remote sensing data, such as Optical, Thermal, Microwave, Hyperspectral, and LiDAR (GEDI). His research has received support from the Space Application Centre (ISRO) under programs like RISAT, NISAR, and AVIRIS-NG, as well as from the NRSC (ISRO) and the Ministry of Environment, Forests, and Climate Change (GoI).
Research Team
Ph.D. Scholar (2017-22)
Ph.D. Title: Assessment of forest growth dynamics by integrating advanced remote sensing and process-based modelling
Expertise in Remote sensing and GIS:
Satellite data type: Optical, LiDAR, Hyperspectral and Microwave, Machine and Deep learning
Software: ArcGIS, ENVI, QGIS, MATLAB, SNAP
Languages: R, Python
Achievements: UGC-JRF Cleared, JKSET
Scholarship/ Fellowship: UGC NET-JRF
Awards/Grants:
-
IGARSS 2022 Travel Grant by IEEE
-
Jim and Brown Student Travel Grant, ESA, 2021
-
Training and Travel Grant award 2021 by British Ecological Society
Publications: Research article (6);
Conference proceeding (3)
Book chapters (3)
Ph.D. Scholar (2018-22)
Ph.D. Title: Integration of multispectral and hyperspectral data with climatic variabilities for assessment of Sambhar Lake ecosystem (A Ramsar site) of Rajasthan, India
Expertise in Remote sensing and GIS:
Satellite data type: Optical and Hyperspectral
Software: ArcGIS, ERDAS Imagine, ENVI, QGIS, Terraset
Achievements: PhD work displayed in website of Ramsar Convention of its 50th anniversary
Scholarship/ Fellowship: Central University Common Entrance Test-2014 scholarship, Summer Research Fellowship 2015 by Indian Academy of Sciences,
Awards/Grants: Training and Travel Grant Award 2020 by British Ecological Society, Student Registration Grant by Ecological Society of America 2021
Publications: Research article (5)
Book chapters (6)
Our Clients
Alok Raj
Ph.D. Scholar (2018-22)
Ph.D. Title: Assessment of Eco-sensitivity in the Central Aravalli region using Geospatial approach under changing climatic conditions
Expertise in Remote sensing and GIS:
Satellite data type: Optical, Microwave, Hyperspectral, LiDAR
Software: ArcGIS, ENVI, Imagine ERDAS, SNAP, MS office, R, GeoDa, Q-GIS, TerrSet geospatial Modeler, FragStat, Maxent model, Species distribution model, eCognition, LiDAR360
Online platform expertise: Google Collab, Google Earth Engine, Climate engine, Planetary Computer - Microsoft
Language: R and Python and Javascript
Achievements: UGC-Net cleared
Scholarship/ Fellowship: Central University Fellowship
Publications: Research article (6)
Book chapters (5)
Rajani Kant Verma
Ph.D. Scholar (2019-23)
Ph.D. Title: Advance Hyperspectral Remote Sensing for Assessment of Forest Biophysical Parameters
Expertise in Remote sensing and GIS:
Satellite data type: Multispectral, Hyperspectral, LiDAR and Microwave data
Software: ENVI, ArcGIS, Erdas Imagine, QGIS, R Studio, MATLAB, TerrSet, GRASS (Geographic Resources Analysis Support System), SNAP, NEST, 3D Forest, LiForest (LiDAR Forest Software), Maxent,
Online platform expertise: Jupyter, Google Earth Engine
Languages: C, C++, JAVA, HTML, Python
Achievements: Merit scholarship (Central University Common Entrance Test-2013)
Scholarship/ Fellowship: Central University Fellowship
Publications: Research article (7)
Book chapters (2)
Shubham Kumar
PhD Scholar (2020-ongoing)
Ph.D. Title: Teal Carbon Flux Estimation & Geospatial Modelling of Ecological Services for Ecological Restoration of Selected Ramsar Sites of India
Expertise in Remote sensing and GIS: Satellite data type: Multispectral
Software: ArcGIS 10.8, Erdas Imagine, QGIS
Scholarship/ Fellowship: UGC NET-JRF
Achievements: UGC-JRF 2022, GATE-2019, ARS-NET (II)-2018
Publication: Research Article (1)
Alisha Sinha
PhD Scholar (2021-ongoing)
PhD Scholar (2021-ongoing)
Ph.D. Title: Advanced Geospatial Modelling for Prediction of Potential Forest Fires.
Expertise in Remote sensing and GIS: Multispectral and Climatic datasets.
Other Expertise: Forest Fire Prediction and monitoring
Software: ArcGIS, QGIS, GEE
Language: R
Scholarship/ Fellowship: Central University Fellowship
Publication: Book Chapter (1)
Pragya Singh Solanki
PhD Scholar (2022-ongoing)
Ph.D. Title: Geospatial Assessment of Ecosystem Services in Southern Aravalli Range
Scholarship/ Fellowship: Central University Fellowship
Bhavana Choudhary
PhD Scholar (2023-ongoing)
Ph.D. Title: Identifying holistic lifestyle practices centred around nature-based solutions, that enhance adaptation to climate change, using geospatial analysis.
Scholarship/Fellowship: UNFCCC Climate Fellowship
Achievements: She has served as a Research Consultant at MOEFCC, Research Officer at UNFCCC RCC Bangkok, and Adaptation Consultant at UNFCCC Secretariat in Germany. Her roles have also included Rapporteur at COP25 and Community Outreach Specialist for AERF. Bhavna's expertise spans UNFCCC processes, adaptation strategies, and resilience foresight. She excels in communication, data analysis, and organizational skills.
Basant Bijarniya
PhD Scholar (2024-ongoing)
Ph.D. Title: Advanced Geospatial Assessment of Aravalli’s Biodiversity and Land Use Dynamics under Changing Climate.
Scholarship/ Fellowship: Central University Fellowship
Mahima Kanwar Rathore
PhD Scholar (2021-ongoing)
Ph.D. Title: Biodiversity Characterization of Desert National Park (India) at Landscape Level using Field Observations and Geospatial Technology
Expertise in Remote sensing and GIS: Multispectral and Climatic datasets.
Other Expertise: Biodiversity characterization, Botany
Software: ArcGIS, Erdas Imagine, QGIS, ENVI, GEE
Scholarship/Fellowship: CSIR-UGC-NET-JRF
Achievements: CSIR-UGC-JRF 2019
Publication: Research Article (2)
.jpg)
Kariya Ishita Bhaveshkumar
PhD Scholar (2022-ongoing)
Ph. D. Title: Study of Invasive Plant Species and its Impact on Mangrove Ecosystem using Advanced Geospatial Techniques
Expertise in Remote sensing and GIS:
Satellite data type: Optical, LiDAR, Microwave datasets
Software: ArcGIS, ENVI, QGIS, MATLAB, SNAP
Languages: R, Python
Achievements: GATE Geomatics Engineering
Scholarship/ Fellowship: DST-INSPIRE FELLOW
Awards/Grants:
-
Training and Travel Grant award 2024 by British Ecological Society
Publications: Research article (4);
Conference proceeding (2)
Bhawna Yadav
PhD Scholar (2024-ongoing)
Ph.D. Title: Unveiling the ecological dynamics of the Aravalli's using advance remote sensing and geospatial tools.
Scholarship/ Fellowship: Central University Fellowship