Avinash Kumar Ranjan

About

I am Dr. Avinash Kumar Ranjan, recently completed my Ph.D. in Remote Sensing-Mining-Vegetation at the National Institute of Technology, Rourkela, India. My doctoral research, titled “Quantifying the Impacts of Mining Activities on Vegetation Ecology using Integrated Remote Sensing Approaches”, focused on assessing mining-induced vegetation changes and ecological restoration using advanced satellite-based methodologies.

Before joining NIT Rourkela, I earned an Integrated M.Tech. in Geoinformatics from the Central University of Jharkhand, Ranchi, India. During my postgraduate studies, I worked on various research projects related to remote sensing applications in agriculture, vegetation dynamics, and climate change analysis. My M.Tech. dissertation focused on using remote sensing data and the AquaCrop model for paddy acreage mapping and yield estimation in Jharkhand, India.

I have been broadly working on several research projects addressing Earth and environmental studies. My expertise lies in utilizing remote sensing and geoinformatics technologies to analyze forestry, agricultural landscapes, and air quality dynamics. Specific areas of interest include mining impacts on vegetation ecology, land cover dynamics, vegetation-human-climate interactions, air quality monitoring, and agricultural remote sensing applications such as yield prediction and phenological studies.

Employment

• Indian Institute of Technology Bombay PostDoc Fellow
  2025 - Present
• National Institute of Technology Rourkela Junior Research Fellow (JRF)
  2019 - 2019

Education

• Central University of Jharkhand M.Tech
  2013 - 2018

Projects & Funding

Projects & funding information is unavailable.

Publications (18)

• Assessing the Role of Urban Expansion in an Industrial City (Rourkela, India) on Land Use/Land Cover Dynamics and its Impacts on Aerosols and Land Surface Temperature
  Journal of the Indian Society of Remote Sensing 2025 DOI: 10.1007/s12524-025-02222-y
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• Assessment of global carbon dynamics due to mining-induced forest cover loss during 2000–2019 using satellite datasets
  Journal of Environmental Management 2024 DOI: 10.1016/j.jenvman.2024.123271
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• A New Approach for Prediction of Foliar Dust in a Coal Mining Region and Its Impacts on Vegetation Physiological Processes Using Multi‐Source Satellite Data Sets
  Journal of Geophysical Research: Biogeosciences 2024 DOI: 10.1029/2024JG008298
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• Evaluating Impacts of Opencast Stone Mining on Vegetation Primary Production and Transpiration over Rajmahal Hills
  Sustainability 2023 DOI: 10.3390/su15108005
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• Crop Types Discrimination and Yield Prediction Using Sentinel-2 Data and AquaCrop Model in Hazaribagh District, Jharkhand
  KN - Journal of Cartography and Geographic Information 2023 DOI: 10.1007/s42489-021-00073-4
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• Vegetation activity enhanced in India during the COVID-19 lockdowns: evidence from satellite data
  Geocarto International 2022 DOI: 10.1080/10106049.2022.2071469
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• Synergy of Sentinel-2A and Near-proximal sensor data for deriving biochemical parameters of paddy at different growth stages
  Environment, Development and Sustainability 2022 DOI: 10.1007/s10668-021-01482-1
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• Characterization of vegetation dynamics using MODIS satellite products over stone-mining dominated Rajmahal Hills in Jharkhand, India
  Remote Sensing Applications: Society and Environment 2022 DOI: 10.1016/j.rsase.2022.100802
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• Evaluating phenological trends of different vegetation types in response to climate change over the Rajmahal Hills in India during 2001-2019
  Remote Sensing Letters 2022 DOI: 10.1080/2150704x.2022.2106455
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• Assessing Aerosol and Nitrogen Dioxide Concentration in Major Urban Cities over the Himalayan Region during the COVID-19 Lockdown Phases
  Handbook of Himalayan Ecosystems and Sustainability, Volume 2 2022 DOI: 10.1201/9781003265160-18
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