Dr. Debabrata Nandi is an Assistant Professor in the P.G. Department of Remote Sensing and GIS at Maharaja Sriram Chandra Bhanja Deo University, Baripada, Odisha. He holds a Ph.D. in Geology and is currently pursuing another Ph.D. in Remote Sensing and GIS. His research focuses on geospatial technology, environmental monitoring, land use–land cover dynamics, groundwater assessment, and climate-related hazards using GIS, remote sensing, and machine learning. Dr. Nandi has published numerous Scopus-indexed research papers, authored and edited several academic books, and supervised many postgraduate dissertations. He is also actively involved in funded research projects, peer review activities, and professional societies related to geospatial science.
A deep learning-geospatial analytics fusion framework for predicting land use land cover dynamics in eastern region of India Debabrata Nandi, Rakesh Ranjan Thakur, Dillip Kumar Bera, Alok Kumar Pati, Priyanka Mishra, Fahad Alshehri, Mohamed Zhran Results in Engineering, 2026 Globally, rapid urbanisation and unregulated urban expansion have driven widespread Land Use and Land Cover (LULC) changes, resulting in deforestation, loss of vegetation, and depletion of water bodies. In India, cities and peri-urban areas are experiencing similar transformations, making it essential to monitor and manage urban growth effectively. This study aims to analyse LULC changes in Berhampore, West Bengal, from 2001 to 2023, identify key drivers of urban expansion, and predict future land use for 2033 using remote sensing, GIS-based spatial analysis, and Deep learning techniques (ANN and CA models). The results show a sharp increase in built-up areas from 20.39 sq. km (2001) to 43.85 sq. km (2023), leading to significant reductions in vegetation (-52.13 sq. km) and water bodies (-1.74 sq. km). Forecast for 2033 shows continued urban development where agricultural territories represent sixty-two percent of the land while forests face a fifty percent reduction thus boosting risks of biodiversity depletion along with enhanced flood potential. This research proves that land sustainability policies and green infrastructure planning combined with strategic urban strategies must urgently develop to balance development with environmental endurance. This research shows that ANN and CA operate as predictive methods to enhance LULC accuracy by helping administrators execute measurement policies. This study incorporates deep learning architecture parts that integrate CNNs and LSTMs to establish advanced LULC modelling frameworks which excel at spatial-temporal pattern detection. Future research on urban growth prediction will benefit from the proposed structures built to improve predictive models by integrating hierarchical features based on long-term dependency according to academic publications.
Machine Learning-Enhanced Monitoring and Assessment of Urban Drinking Water Quality in North Bhubaneswar, Odisha, India Kshyana Prava Samal, Rakesh Ranjan Thakur, Alok Kumar Panda, Debabrata Nandi, Alok Kumar Pati, Kumarjeeb Pegu, Bojan Đurin Limnological Review, 2025 Access to clean drinking water is crucial for any region’s social and economic growth. However, rapid urbanization and industrialization have significantly deteriorated water quality, posing severe pollution threats from domestic, agricultural, and industrial sources. This study presents an innovative framework for assessing water quality in North Bhubaneswar, integrating the Water Quality Index (WQI) with statistical analysis, geospatial technologies, and machine learning models. The WQI, calculated using the Weighted Arithmetic Index method, provides a single composite value representing overall water quality based on several key physicochemical parameters. To evaluate potable water quality across 21 wards in the northern zone, several key parameters were monitored, including pH, electrical conductivity (EC), dissolved oxygen (DO), hardness, chloride, total dissolved solids (TDSs), and biochemical oxygen demand (BOD). The Weighted Arithmetic WQI method was employed to determine overall water quality, which ranged from excellent to good. Furthermore, Principal Component Analysis (PCA) revealed a strong positive correlation (r > 0.6) between pH, conductivity, hardness, and alkalinity. To enhance the accuracy and reliability of water quality assessment, multiple machine learning models Logistic Regression (LR), Decision Tree (DT), Random Forest (RF), Support Vector Machine (SVM), K-Nearest Neighbors (KNN), and Naïve Bayes (NB) were applied to classify water quality based on these parameters. Among them, the Decision Tree (DT) and Random Forest (RF) models demonstrated the highest precision (91.8% and 92.7%, respectively) and overall accuracy (91.7%), making them the most effective in predicting water quality and integrating WQI, machine learning, and statistics to analyze water quality. The study emphasizes the importance of continuous water quality monitoring and offers data-driven recommendations to ensure sustainable access to clean drinking water in North Bhubaneswar.
Predicting Potential Habitats and the Conservation of the Tasar Silkworm (Antheraea mylitta) in the Similipal Biosphere Reserve, Odisha, India Rakesh Ranjan Thakur, Debabrata Nandi, Dillip Kumar Bera, Saranjit Singh, Roshan Beuria, Priyanka Mishra, Fahdah Falah Ben Hasher, Maya Kumari, Mohamed Zhran Sustainability Switzerland, 2025 The tasar silk production of India’s sericulture industry supports tribal livelihoods and economic sustainability. However, Antheraea mylitta Drury, 1773, the primary species for tasar silk, faces habitat threats due to deforestation, climate change, and anthropogenic pressures. This study evaluates the distribution and habitat suitability of wild tasar silkworm using multi-criteria approach, Geographic Information System (GIS), Remote Sensing (RS), and ecological niche modeling using the MaxEnt algorithm. Field surveys were conducted to collect cocoon samples, and the analysis of environmental parameters and assessment of soil micronutrient influences were also carried out. The MaxEnt model predictions indicate that the Central, Western, and Southern zones of Mayurbhanj, encompassing the Similipal Biosphere Reserve, provide the most suitable habitats. The jackknife test confirmed that these climatic variables collectively contributed 68.7% to the habitat suitability model. This study highlights the impact of habitat fragmentation and deforestation on tasar silkworm populations, emphasizing the need for conservation strategies, sustainable forest management, and afforestation programs. The findings highlight the following key conservation strategies: restoring habitats in Similipal, enforcing anti-deforestation laws, promoting community-led planting of host trees, and adopting climate-resilient silk farming to protect biodiversity and support tribal livelihoods.
Integrated approach using remote sensing and gis for hydrogeology of moroda block in Mayurbhanj District, Odisha, India International Journal of Conservation Science, 2015
Groundwater quality mapping by using geographic information system (GIS): A case study of Baripada city, Odisha, India International Journal of Conservation Science, 2014
RECENT SCHOLAR PUBLICATIONS
Integrated water quality assessment of the Drenica River using macroinvertebrates and Promethee decision method PBFSHÇRKSRESDNBĐBDVHFFURELFLRRTDNRBO Fetoshi Biologia 81 (146) , 2026 2026
Leveraging AI for Sustainable Water Quality Management in Lakes: Bibliometric Insights and Critical Review JWMA Ahmed M. Saqr, Moustafa Gamal Snousy, Joseph Omeiza Alao, Rakesh Ranjan ... Recent Advances in Water Science, pp 115–141 , 2026 2026 Citations: 1
Assessment of Groundwater Quality in Some Regions of Kosovo Based on Physico-Chemical and Microbiological Parameters BĐ Florjana Zogaj, Tatjana Blazhevska, Fatbardh Sallaku, Rakesh RanjanThakur ... Limnological Review 26, 1-28 , 2026 2026
An Integrated Geospatial Assessment of Multi-hazard Vulnerability and Groundwater Potential for Advancing Sustainable Water Security in Northern Odisha, India RRT Debabrata Nandi, Jagadish Kumar Tripathy, Duryadhan Behera, Ahmed M ... Water Conservation Science and Engineering , 2026 2026
Advancing watershed science: A comprehensive review of morphometry, land use change, vulnerability, and resilience frameworks D Nandi, JK Tripathy, D Behera, R Beuria, RR Thakur Physics and Chemistry of the Earth, Parts A/B/C, 104412 , 2026 2026
Decoding Urban Sprawl in Bhubaneswar (2000-2025): A Spatio-Temporal LULC and Landscape Fragmentation Analysis RBSCSD Nandi Advances in Space Research , 2026 2026 Citations: 1
A Deep Learning-Geospatial Analytics Fusion Framework for Predicting Land Use Land Cover Dynamics in Eastern Region of India D Nandi, RR Thakur, DK Bera, AK Pati, P Mishra, F Alshehri, M Zhran Results in Engineering, 109201 , 2026 2026 Citations: 1
Kuliana Revisited: Unravelling the Mysteries of Prehistoric Site of Mayurbhanj, Odisha. M Naik, BK Mohanta, D Nandi, BK Nayak, TD Mohapatra Antrocom: Online Journal of Anthropology 21 (2) , 2025 2025
Enhancing lightning strike prediction: leveraging geospatial data and ensemble machine learning for risk management PS Mishra, D Nandi, RR Thakur, SK Roy, R Beuria, S Das, H Elmannai, ... Acta Geophysica 73 (6), 6093-6108 , 2025 2025 Citations: 1
Integrated Water Quality Assessment of the Drenica River Using Macroinvertebrates and PROMETHEE Decision Method P Bytyçi, F Sallaku, H Çadraku, R Koto, S Rizani, E Skura, D Nuha, ... 2025
Renewable Energy Resources in Distributed Power Networks. MSD Dr. Damodar Jena, Dr. Priyanka Mishra, Dr. Rakesh Ranjan Thakur, Dr ... IN Patent 15/2,025 , 2025 2025
Machine learning-based LULC change detection and environmental implications in Bankura, West Bengal, India RB Debabrata Nandi, Rakesh Ranjan Thakur , Bojan Ðurin, Mayank Pandey, Upaka ... AIMS Environmental Science 12 (5), 835-855 , 2025 2025 Citations: 1
Machine Learning-Enhanced Monitoring and Assessment of Urban Drinking Water Quality in North Bhubaneswar, Odisha, India KP Samal, RR Thakur, AK Panda, D Nandi, AK Pati, K Pegu, B Ðurin Limnological Review 25 (3), 44 , 2025 2025 Citations: 2
Renewable Energy Based Sustainable Transportation System DNCG Dr. P. Mishra, Dr. D. Jena,Dr. R.R.Thakur, Dr. D. K. Bera, Dr. D. Nandi ... IN Patent 454027-001 , 2025 2025
Heatwave-induced thermoregulatory stress in Odisha's coastal and north-eastern districts: Examining the April 2024 event using advanced statistical and geospatial techniques R Beuria, D Sahu, SC Sahu, D Nandi, S Behera, KL Mohanta, RR Thakur Dynamics of Atmospheres and Oceans 111, 101577 , 2025 2025 Citations: 3
Integrated Evaluation of Soil Pollution and Plant Bioaccumulation Using Multimetric Indices: A Case Study from the Rehova Copper Mine, Albania RB Arta Dollani, Eugen Skura , Fatbardh Sallaku , Enkeleda Shkurta , Erinda ... International Journal of Design & Nature and Ecodynamics 20 (No. 8), pp … , 2025 2025 Citations: 1
Predicting Potential Habitats and the Conservation of the Tasar Silkworm ( Antheraea mylitta ) in the Similipal Biosphere Reserve, Odisha, India RR Thakur, D Nandi, DK Bera, S Singh, R Beuria, P Mishra, FFB Hasher, ... Sustainability 17 (13), 5824 , 2025 2025 Citations: 4
Urban expansion and land use transformations in Midnapore City (2003–2024): implications for sustainable development RR Thakur, D Nandi, AK Shukla, S Das, S Chand, P Singha, R Beuria, ... Earth 6 (2), 50 , 2025 2025 Citations: 6
Geospatial monitoring of environmental sustainability: A remote sensing-based approach for assessing mining-induced impacts in Eastern India M Pandey, RR Thakur, D Nandi, DK Bera, R Beuria, M Kumari, M Zhran Results in Engineering 26, 104692 , 2025 2025 Citations: 12
Irrigation water quality prognostication: An innovative ensemble architecture leveraging deep learning and machine learning for enhanced SAR and ESP estimation in the east … AK Pati, AR Tripathy, D Nandi, RR Thakur, M Pandey Journal of Environmental Chemical Engineering 13 (3), 116433 , 2025 2025 Citations: 15
MOST CITED SCHOLAR PUBLICATIONS
Delineation of groundwater potential zone in Baliguda Block of Kandhamal District, Odisha using geospatial technology approach KK Barik, PC Dalai, SP Goudo, SR Panda, D Nandi Int J Adv Remote Sens GIS 6 (3), 2068-2079 , 2017 2017 Citations: 30
A novel approach for ex situ water quality monitoring using the Google Earth engine and spectral indices in Chilika Lake, Odisha, India S Das, D Nandi, RR Thakur, DK Bera, D Behera, B Đurin, V Cetl ISPRS International Journal of Geo-Information 13 (11), 381 , 2024 2024 Citations: 25
Predicting Tachypleus gigas spawning distribution with climate change in Northeast Coast of India S Pati, S Shahimi, D Nandi, T Sarkar, SN Acharya, HI Sheikh, DK Acharya, ... Journal of Ecological Engineering 22 (3), 211-220 , 2021 2021 Citations: 22
Automatic delineation of water bodies using multiple spectral indices D Nandi, R Chowdhury, J Mohapatra, K Mohanta, D Ray International Journal of Scientific Research in Science, Engineering and … , 2018 2018 Citations: 22
Irrigation water quality prognostication: An innovative ensemble architecture leveraging deep learning and machine learning for enhanced SAR and ESP estimation in the east … AK Pati, AR Tripathy, D Nandi, RR Thakur, M Pandey Journal of Environmental Chemical Engineering 13 (3), 116433 , 2025 2025 Citations: 15
Hydrogeochemical and geospatial insights into groundwater contamination: fluoride and nitrate risks in western Odisha, India S Barad, RR Thakur, D Nandi, DK Bera, PC Sahu, P Mishra, KP Samal, ... Water 17 (10), 1514 , 2025 2025 Citations: 15
Hydrogeomorphological study in Bamanghaty subdivision of Mayurbhanj district, Odisha an integrated remote sensing and GIS approach D Nandi, PC Sahu, S Goswami International Journal of Geosciences 8 (11), 1361-1373 , 2017 2017 Citations: 13
Geospatial monitoring of environmental sustainability: A remote sensing-based approach for assessing mining-induced impacts in Eastern India M Pandey, RR Thakur, D Nandi, DK Bera, R Beuria, M Kumari, M Zhran Results in Engineering 26, 104692 , 2025 2025 Citations: 12
Diversity of herpetofauna and their conservation in and around North Orissa University Campus, Odisha, India B Boruah, GN Das, A Payra, SK Dash, NS Pal, UP Das, NB Kar, J Sethy, ... NeBIO 7 (4), 138â , 2016 2016 Citations: 11
GROUNDWATER QUALITY MAPPING BY USING GEOGRAPHIC INFORMATION SYSTEM (GIS): A CASE STUDY OF BARIPADA CITY, ODISHA, INDIA. MSR NANDI Deabarata International Journal of Conservation Science 5 (1), 79-84 , 2014 2014 Citations: 11
Comparative approach of decision tree and CWQI analysis for classification of groundwater with a special reference to fluoride ion in drought-prone Boudh district of Odisha, India S Barad, PS Mishra, PC Sahu, T Sarkar, MFM Amin, T Choudhury, ... Sustainable Water Resources Management 7 (6), 94 , 2021 2021 Citations: 10
INTEGRATED APPROACH USING REMOTE SENSING AND GIS FOR HYDROGEOLOGY OF MORODA BLOCK IN MAYURBHANJ DISTRICT, ODISHA, INDIA. SCK Nandi Debabrata, Kant Johnson International Journal of Conservation Science 6 (3), 383-390 , 2015 2015 Citations: 10
Ground Water Resource Estimation and Budgeting for Sustainable Growth of Agriculture in a Part of Drought Prone Sundargarh District, Odisha, India PCSD Nandi International Research Journal of Earth Sciences 4 (2), 9-14 , 2016 2016 Citations: 8
EVALUATION OF GROUND WATER POLLUTION POTENTIAL USING DRASTIC MODEL: A CASE STUDY IN BERHAMPUR CITY, ORISSA DNPC Sahu International Journal of Geology, Earth & Environmental Sciences 5 (3), 55-61 , 2015 2015 Citations: 8
Human-elephant conflict: Case study from Balasore and Rairangpur division of Mayurbhanj elephant reserve, Odisha, India SR Mishra, D Nandi, AK Nayak International Research Journal of Environment Sciences 2 (4), 5-9 , 2013 2013 Citations: 8
Geospatial analysis of groundwater potential zones using GIS-based multi-criteria decision-making AHP approach D Nandi, D Sing, PC Sahu Sustainable Water Resources Management 10 (4), 142 , 2024 2024 Citations: 7
Hydro-geochemical attributes based classifiers for groundwater analysis PS Mishra, D Nandi, PC Sahu, MK Lochan, HA Edinur, T Sarkar, S Pati Ecological Engineering & Environmental Technology 22 (5), 28-39 , 2021 2021 Citations: 7
Urban expansion and land use transformations in Midnapore City (2003–2024): implications for sustainable development RR Thakur, D Nandi, AK Shukla, S Das, S Chand, P Singha, R Beuria, ... Earth 6 (2), 50 , 2025 2025 Citations: 6
A comprehensive investigation on the effect of UHI in Baripada city using geo‐spatial technique and MLTHP model KLM Debabrata Nandi, Rashmi Ranjan Das, Debasish Sing, Indrajit Bera, Partha ... Environmental Quality Management 34 (1), e22233 , 2024 2024 Citations: 6
Distribution and status of freshwater fish fauna and its habitat in the water bodies of Kendrapara district, Odisha, India BK Baliarsingh, SK Swain, ED Oliver King, D Nandi, B Rath Biological Forum-An International Journal 12 (2), 44-50 , 2020 2020 Citations: 6
RESEARCH OUTPUTS (PATENTS, SOFTWARE, PUBLICATIONS, PRODUCTS)
1. Title of the invention: Renewable Energy Resources in Distributed Power Networks. Application No. 202531031292A. Publication Date: 11/04/2025
2. Title of the Design: Renewable Energy Based Sustainable Transportation System, Date of Registration 02/04/2025, Design Number 454036-001. Application Number: 454027-001 CBR Number:207103
