Publications
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Akhil Mythri Projecting a food insecure world: Equity implications of land-based mitigation in IPCC mitigation pathways https://www.sciencedirect.com/science/article/abs/pii/S1462901124000583?via%3Dihub= Jaiswal, S., Nagarajan, A., & Mythri, A. (2024). Projecting a food insecure world: equity implications of land-based mitigation in IPCC mitigation pathways. Environmental Science & Policy, 155, 103724. |
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V V Binoy Insights on the distribution, catch and release and public sentiment towards recreational angling of mahseers—A study of YouTube videos from India https://onlinelibrary.wiley.com/doi/abs/10.1002/aqc.4176 Co-Authored with Prantik Das, Aquatic Conservation: Marine and Freshwater Ecosystems This paper explores the potential of social media data to develop a complementary tool for monitoring and managing recreational angling and conserving megafish mahseer |
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Gufran Beig Quantification and assessment of hazardous mercury emission from industrial process and other unattended sectors in India: A step towards mitigation https://www.sciencedirect.com/science/article/abs/pii/S0304389424006824?via%3Dihub= Co-Authored with Sahu, S.K., M. Mishra, A. Mishra, P. Mangaraj. Journal of Hazardous Materials 470:134103, 2024 Hazardous pollutants like Mercury (Hg) have emerged as a pressing challenge in recent times where the expanding industrial sector is regarded as the major source in developing country India. In this study, we are trying to identify all possible industrial sectors at district level to quantify Hg emission load across India for the year 2019 using IPCC methodology where the country-specific technological emission factors are used. We have included 5 major sectors out of which emission from coal combustion in thermal power plants accounts for 186.5 t/yr of Hg emission followed by non-ferrous metal production (88.3 t/yr), captive power plants (65.5 t/yr) and fly ash generation from various manufacturing industries (45.9 t/yr). A total of 459.4 t/yr of Hg is released into the ecosystem in 2019 with an uncertainty of ± 48%. This study also estimated that about 233 million people living in and around 10 km periphery of major industrial zones with as many as 17 million people residing near the 10 major hotspots are susceptible to hazardous Hg emissions directly or indirectly. This information would be quite useful in formulating future Hg emission control strategies in India. |
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Vinay Kumar Dadhwal Forest Biomass Assessment Using Multisource Earth Observation Data: Techniques, Data Sets and Applications https://link.springer.com/article/10.1007/s12524-024-01868-4 Co-Authored with Subrata Nandy. Journal of the Indian Society of Remote Sensing, 52(4): 703-710 |
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Ramya Bala Prabhakaran DST-INSPIRE Faculty Fellow, School of Natural Sciences and Engineering Reconstructing human-fire-vegetation inter-relationships in a protected dry tropical forest, Mudumalai National Park. Southern India https://cms.nias.res.in/sites/default/filesefs/2025-04/EGU24-14748-print.pdf Prabhakaran, R. B., & Kumar, N. (2024). Reconstructing human-fire-vegetation inter-relationships in a protected dry tropical forest Mudumalai National Park. Southern India. Vienna, Austria . |
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Vinay Kumar Dadhwal Non-Destructive Allometric Modeling for Tree Volume Estimation in Tropical Dry Deciduous Forests of India Using Terrestrial Laser Scanner https://link.springer.com/article/10.1007/s12524-022-01664-y Co-Authored with Suraj Reddy Rodda, Rama Rao Nidamanuri and et.al. Journal of Indian Society of Remote Sensing, 52(4):825-839 |
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Vinay Kumar Dadhwal Age-Based Stratification to Estimate Aboveground Biomass (AGB) and Carbon Stocks of Rubber Plantations in Tripura https://link.springer.com/article/10.1007/s12524-023-01751-8 Co-Authored with Pasha SV. Journal of the Indian Society of Remote Sensing, 52(4):711-721 |
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Vinay Kumar Dadhwal Validation of ESA-CCI Forest Biomass Products over India: Methodological and Data Challenges and Results https://link.springer.com/article/10.1007/s12524-023-01741-w Co-Authored with Y. Bhat, M. K. Kripa. Journal of the Indian Society of Remote Sensing 52(4):931-942 |