Publications

Dr. Anirban Mukhopadhyay

Published Books / Monographs

Mitra, D., Habel, M., Mukhopadhyay, A., & Pal, I. (Eds.). (2026). Harnessing Earth Observation for Coastal Engineering. Elsevier. ISBN 978-0-443-27590-6.

Pal, I., Mukhopadhyay, A., Virdis, S.G.P., & Islam, S.T. (Eds.). (2025). Multi-Hazard Approach of GIS and Remote Sensing for Disaster Risk Reduction (DRR). Springer. https://doi.org/10.1007/978-981-96-7488-6

Pal, I., Kolathayar, S., Islam, S.T., Mukhopadhyay, A., & Ahmed, I. (Eds.). (2022). Proceedings of the 2nd International Symposium on Disaster Resilience and Sustainable Development, Volume 2 – Disaster Risk Science and Technology. Springer.

Mukhopadhyay, A., Mitra, D., & Hazra, S. (Eds.). (2021). Sundarbans Mangrove Systems: A Geo-Informatics Approach. CRC Press.

Ghosh, T., & Mukhopadhyay, A. (2014). Natural Hazard Zonation of Bihar (India) Using Geoinformatics: A Schematic Approach. Springer Briefs in Earth Sciences. ISBN 978-3-319-04437-8.

Hazra, S., Mukhopadhyay, A., Ghosh, A.R., Mitra, D., & Dadhwal, V.K. (Eds.). (2016). Environment and Earth Observation: Case Studies in India. Springer Remote Sensing/Photogrammetry. ISBN 978-3-319-46008-6.

Research Articles (Peer-reviewed)

Suman, A., Mukhopadhyay, A., & Joshi, P.K. (2026). From ecological foundations to nature-based solutions: A semantic-temporal scientometric analysis of urban expansion and green space research. Journal of Environmental Management, 414, 130397. IF 9.2

Mukhopadhyay, A., Pramanick, N., Acharyya, R., Loc, H.H., Hati, J.P., Pramanik, M., Chanda, A., Bharadwaz, G.S.V.S.A., Szatten, D., & Habel, M. (2026). Multidimensional vulnerability and risk analysis of the Andaman coast of Thailand: A coupled model-based approach. Climate Services, 42, 100660. https://doi.org/10.1016/j.cliser.2026.100660. IF 5.4

Szatten, D., Obodovskyi, O., Brzezińska, M., Babiński, Z., Więcław, M., Korniienko, V., & Mukhopadhyay, A. (2025). Contemporary and projected ecological flow regimes in southern Baltic Sea rivers. Ecological Indicators, 175, 113490. IF 7.4

Banerjee, S., Loc, H.H., Pal, I., Mukhopadhyay, A., Van Pham Huynh, T., Pham, D.T., & Thi, H.C.N. (2025). Assessing the sensitivity of physiographical parameters in modeling hydrological ecosystem services that support food security: The case of Vietnamese Mekong Delta. Modeling Earth Systems and Environment, 11(4), 1–16. IF 2.9

Mukhopadhyay, A., Pal, I., Hati, J.P., et al. (2025). Elephant habitat modeling in Sai Yok National Park using high-resolution Pléiades data. Landscape and Ecological Engineering, 21, 443–459. https://doi.org/10.1007/s11355-025-00648-7. IF 1.9

Acharyya, R., Majumder, A., Pramanick, N., Mukhopadhyay, A., Pramanik, M., Dhungana, G., Hati, J.P., & Das, B. (2025). A Geo-Intelligent Approach in Analysing Land Use Transformation and Socio-Economic Change (1991–2031) in a Tropical Metropolitan. Earth Systems and Environment, 1–20. IF 4.7

Kumar, A., Das, M., Pramanik, M., Baghel, T., & Mukhopadhyay, A. (2025). Urbanization and groundwater resilience: pre- and post-monsoon mapping using AHP and hybrid machine learning modelling. International Journal of River Basin Management, 1–25. https://doi.org/10.1080/15715124.2025.2554908. IF 2.2

Mukhopadhyay, A., Pal, I., Pramanick, N., Acharyya, R., Hati, J.P., Mukherjee, S., Bharadwaz, G.S.A., & Mitra, D. (2025). Using Artificial Intelligence and Deep Learning Algorithms to Extract Land Features from High-Resolution Pléiades Data. Journal of the Indian Society of Remote Sensing, 1–13. IF 2.2

Tun, K.Z., Pramanik, M., Chakrabortty, R., Chowdhury, K., Halder, B., Pande, C.B., Mukhopadhyay, A., & Zhran, M. (2024). Mainstreaming Nature-Based Solutions for Climate Adaptation in Southeast Asia: A Systematic Review. Earth Systems and Environment, 1–19. IF 5.3

Mukhopadhyay, A., Hati, J.P., Acharyya, R., Pal, I., Tuladhar, N., & Habel, M. (2024). Global trends in using the InVEST model suite and related research: A systematic review. Ecohydrology & Hydrobiology. IF 2.7

Mukhopadhyay, A., Pal, I., Hati, J.P., et al. (2024). High-resolution Pléiades data: an in-depth analysis of applications and future prospects. Spatial Information Research. https://doi.org/10.1007/s41324-024-00593-x. IF 2

Hati, J.P., Mukhopadhyay, A., Chaube, N.R., Hazra, S., Pramanick, N., Gupta, K., Bharadwaz, G.S., & Mitra, D. (2024). Estimation of above ground biomass with synthetic aperture radar (SAR) data in Lothian Island, Sundarbans, India. Journal of the Indian Society of Remote Sensing, 52(4), 757–769. IF 2.2

Pal, I., Kumar, A., & Mukhopadhyay, A. (2023). Risks to Coastal Critical Infrastructure from Climate Change. Annual Review of Environment and Resources. IF 15.5

Mukhopadhyay, A., Acharyya, R., Habel, M., Pal, I., Pramanick, N., Hati, J.P., Sanyal, M.K., & Ghosh, T. (2023). Upstream River Erosion vis-a-vis Sediments Variability in Hugli Estuary, India: A Geospatial Approach. Water, 15(7), 1285. IF 3.0

Basu, A., McCullough, G., Belanger, S., Mukhopadhyay, A., Doxaran, D., Sydor, K., Barber, D., & Ehn, J. (2023). Plume dispersion from the Nelson and Hayes rivers into Hudson Bay using satellite remote sensing of CDOM and suspended sediment. Elementa: Science of the Anthropocene, 11(1). IF 4.7

Acharyya, R., Mukhopadhyay, A., & Habel, M. (2023). Coupling of SWAT and DSAS Models for Assessment of Retrospective and Prospective Transformations of River Deltaic Estuaries. Remote Sensing, 15(4), 958. https://doi.org/10.3390/rs15040958. IF 4.2

Pramanick, N., Acharyya, R., Mukherjee, S., Mukherjee, S., Pal, I., Mitra, D., & Mukhopadhyay, A. (2022). SAR based flood risk analysis: A case study Kerala flood 2018. Advances in Space Research, 69(4), 1915–1929. https://doi.org/10.1016/j.asr.2021.07.003. IF 2.8

Pal, I., Ghosh, S., Dash, I., & Mukhopadhyay, A. (2022). Review of Tsunami early warning system and coastal resilience with a focus on Indian Ocean. International Journal of Disaster Resilience in the Built Environment. https://doi.org/10.1108/IJDRBE-12-2020-0124

Nghia, B.P.Q., Pal, I., Chollacoop, N., & Mukhopadhyay, A. (2022). Applying Google earth engine for flood mapping and monitoring in the downstream provinces of Mekong river. Progress in Disaster Science, 14, 100235. https://doi.org/10.1016/j.pdisas.2022.100235. IF 2.6

Gupta, K., Mukhopadhyay, A., Babb, D.G., Barber, D.G., & Ehn, J.K. (2022). Landfast sea ice in Hudson Bay and James Bay: Annual cycle, variability and trends, 2000–2019. Elementa: Science of the Anthropocene, 10(1). https://doi.org/10.1525/elementa.2021.00073. IF 4.7

Hati, J.P., Chaube, N.R., Hazra, S., Goswami, S., Pramanick, N., Samanta, S., et al., & Mukhopadhyay, A. (2022). Mangrove monitoring in Lothian Island using airborne hyperspectral AVIRIS-NG data. Advances in Space Research. IF 2.8

Acharyya, R., Pramanick, N., Mukherjee, S., Ghosh, S., Chanda, A., Pal, I., et al., & Mukhopadhyay, A. (2021). Evaluation of catchment hydrology and soil loss in non-perennial river system: a case study of Subarnarekha Basin, India. Modeling Earth Systems and Environment, 1–29. https://doi.org/10.1007/s40808-021-01231-. IF 2.7

Hati, J.P., Samanta, S., Chaube, N.R., Misra, A., Giri, S., Pramanick, N., Mukhopadhyay, A., & Hazra, S. (2021). Mangrove classification using airborne hyperspectral AVIRIS-NG and comparing with other spaceborne hyperspectral and multispectral data. The Egyptian Journal of Remote Sensing and Space Science, 24(2), 273–281. https://doi.org/10.1016/j.ejrs.2020.10.002. IF 3.7

Begam, M., Pal, S., Mitra, N., Chatterjee, A., Mukhopadhyay, A., & Mukhopadhyay, S.K. (2021). GIS Based Approach to Determine the Changes of Water Hyacinth (Eichhornia crassipes) Cover and Relation with Lesser Whistling Teal (Dendrocygna javanica) Assemblage at Santragachi Wetland, West Bengal. Research in Ecology, 3(1), 52–58. https://doi.org/10.30564/re.v3i1.2905

Bhattacharyya, S., Hazra, S., Das, S., Samanta, S., Mukhopadhyay, A., Dutta, D., et al., & Chanda, A. (2020). Characterizing nutrient dynamics with relation to changes in partial pressure of CO2 in a tropical sewage-fed aquaculture pond situated in a Ramsar wetland. Water and Environment Journal, 34(2), 259–273. https://doi.org/10.1111/wej.12459. IF 1.977

Chanda, A., Das, S., Bhattacharyya, S., Das, I., Giri, S., Mukhopadhyay, A., et al., & Hazra, S. (2019). CO2 fluxes from aquaculture ponds of a tropical wetland: potential of multiple lime treatment in reduction of CO2 emission. Science of the Total Environment, 655, 1321–1333. https://doi.org/10.1016/j.scitotenv.2018.11.332. IF 8.2

Mukhopadhyay, A., Wheeler, D., Dasgupta, S., Dey, A., & Sobhan, I. (2019). Mangrove spatial distribution in the Indian Sundarbans: Predicting salinity-induced migration in a changing climate. Journal of Management & Sustainability, 9, 1. https://doi.org/10.5539/jms.v9n1p1. IF 1.54

Giri, S., Hazra, S., Ghosh, P., Ghosh, A., Das, S., Chanda, A., Mukhopadhyay, A., & Maity, S. (2019). Role of lunar phases, rainfall, and wind in predicting Hilsa shad (Tenualosa ilisha) catch in the northern Bay of Bengal. Fisheries Oceanography, 28(5), 567–575. https://doi.org/10.1111/fog.12430. IF 1.9

Mandal, J., Ghosh, N., & Mukhopadhyay, A. (2019). Urban growth dynamics and changing land-use land-cover of megacity Kolkata and its environs. Journal of the Indian Society of Remote Sensing, 47, 1707–1725. https://doi.org/10.1007/s12524-019-01020-7. IF 2.2

Mukhopadhyay, A., Ghosh, P., Chanda, A., Ghosh, A., Ghosh, S., Das, S., et al., & Hazra, S. (2018). Threats to coastal communities of Mahanadi delta due to imminent consequences of erosion – Present and near future. Science of the Total Environment, 637, 717–729. IF 8.2

Gupta, K., Mukhopadhyay, A., Giri, S., Chanda, A., Majumdar, S.D., Samanta, S., et al., & Hazra, S. (2018). An index for discrimination of mangroves from non-mangroves using LANDSAT 8 OLI imagery. MethodsX, 5, 1129–1139. https://doi.org/10.1016/j.mex.2018.09.011. IF 1.6

Chanda, A., Das, S., Mukhopadhyay, A., Ghosh, A., Akhand, A., Ghosh, P., et al., & Hazra, S. (2018). Sea surface temperature and rainfall anomaly over the Bay of Bengal during the El Niño-Southern Oscillation and the extreme Indian Ocean Dipole events between 2002 and 2016. Remote Sensing Applications: Society and Environment, 12, 10–22. https://doi.org/10.1016/j.rsase.2018.08.001. IF 4.7

Majumdar, S.D., Hazra, S., Giri, S., Chanda, A., Gupta, K., Mukhopadhyay, A., & Roy, S.D. (2018). Threats to coral reef diversity of Andaman Islands, India: A review. Regional Studies in Marine Science, 24, 237–250. https://doi.org/10.1016/j.rsma.2018.08.011. IF 2.1

Barik, J., Mukhopadhyay, A., Ghosh, T., Mukhopadhyay, S.K., Chowdhury, S.M., & Hazra, S. (2018). Mangrove species distribution and water salinity: an indicator species approach to Sundarban. Journal of Coastal Conservation, 22, 361–368. https://doi.org/10.1007/s11852-017-0584-7. IF 1.7

Ghosh, P., Mukhopadhyay, A., Chanda, A., Mondal, P., Akhand, A., Mukherjee, S., Nayak, S.K., Ghosh, S., Mitra, D., Ghosh, T., & Hazra, S. (2017). Application of Cellular automata and Markov-chain model in geospatial environmental modeling – A review. Remote Sensing Applications: Society and Environment, 5, 64–77. https://doi.org/10.1016/j.rsase.2017.01.005. IF 4.7

Das, S., Giri, S., Das, I., Chanda, A., Ghosh, A., Mukhopadhyay, A., et al., & Hazra, S. (2017). Nutrient dynamics of northern Bay of Bengal (nBoB)—emphasizing the role of tides. Regional Studies in Marine Science, 10, 116–134. https://doi.org/10.1016/j.rsma.2017.01.006. IF 2.1

Mondal, A., Khare, D., Kundu, S., Mondal, S., Mukherjee, S., & Mukhopadhyay, A. (2017). Spatial soil organic carbon (SOC) prediction by regression kriging using remote sensing data. The Egyptian Journal of Remote Sensing and Space Science, 20(1), 61–70. https://doi.org/10.1016/j.ejrs.2016.06.004. IF 3.7

Mondal, A., Khare, D., Kundu, S., Mukherjee, S., Mukhopadhyay, A., & Mondal, S. (2017). Uncertainty of soil erosion modelling using open source high resolution and aggregated DEMs. Geoscience Frontiers, 8(3), 425–436. https://doi.org/10.1016/j.gsf.2016.03.004. IF 8.5

Akhand, A., Mukhopadhyay, A., Chanda, A., Mukherjee, S., Das, A., Das, S., et al., & Rao, K.H. (2017). Potential CO2 emission due to loss of above ground biomass from the Indian Sundarban mangroves during the last four decades. Journal of the Indian Society of Remote Sensing, 45, 147–154. https://doi.org/10.1007/s12524-016-0567-4. IF 2.2

Payo, A., Mukhopadhyay, A., Hazra, S., Ghosh, T., Ghosh, S., Brown, S., et al., & Haque, A. (2016). Projected changes in area of the Sundarban mangrove forest in Bangladesh due to SLR by 2100. Climatic Change, 139, 279–291. IF 4.8

Das, S., Chanda, A., Dey, S., Banerjee, S., Mukhopadhyay, A., Akhand, A., et al., & Dadhwal, V.K. (2016). Comparing the spatio-temporal variability of remotely sensed oceanographic parameters between the Arabian Sea and Bay of Bengal throughout a decade. Current Science, 110(4), 627. IF 1.1

Giri, S., Manna, S., Chanda, A., Chowdhury, A., Mukhopadhyay, A., Chakraborty, S., & Hazra, S. (2016). Implementing a spatial model to derive potential fishing zones in the Northern Bay of Bengal lying adjacent to West Bengal Coast, India. Journal of the Indian Society of Remote Sensing, 44, 59–66. https://doi.org/10.1007/s12524-015-0472-2. IF 2.2

Hazra, S., Mukhopadhyay, A., Mukherjee, S., Akhand, A., Chanda, A., Mitra, D., & Ghosh, T. (2016). Disappearance of the New Moore Island from the Southernmost Coastal Fringe of the Sundarban delta – a case study. Journal of the Indian Society of Remote Sensing, 44, 479–484. IF 2.2

Hazra, S., Mukhopadhyay, A., Chanda, A., Mondal, P., Ghosh, T., Mukherjee, S., & Salehin, M. (2016). Characterizing the 2D shape complexity dynamics of the islands of Sundarbans, Bangladesh: a fractal dimension approach. Environmental Earth Sciences, 75, 1–12. https://doi.org/10.1007/s12665-016-6175-3. IF 2.8

Das, S., Giri, S., Das, I., Chanda, A., Akhand, A., Mukhopadhyay, A., et al., & Hazra, S. (2016). Tide induced annual variability of selected physico-chemical characteristics in the northern Bay of Bengal (nBoB) with a Special emphasis on Tropical Cyclone-Phailin, 2013. Indian Journal of Geo-Marine Sciences, 45(08). IF 0.5

Chanda, A., Akhand, A., Manna, S., Das, S., Mukhopadhyay, A., Das, I., et al., & Dadhwal, V.K. (2016). Mangrove associates versus true mangroves: a comparative analysis of leaf litter decomposition in Sundarban. Wetlands Ecology and Management, 24, 293–315. https://doi.org/10.1007/s11273-015-9456-9. IF 1.8

Amoako Johnson, F., Hutton, C.W., Hornby, D., Lázár, A.N., & Mukhopadhyay, A. (2016). Is shrimp farming a successful adaptation to salinity intrusion? A geospatial associative analysis of poverty in the populous Ganges–Brahmaputra–Meghna Delta of Bangladesh. Sustainability Science, 11, 423–439. https://doi.org/10.1007/s11625-016-0356-6. IF 6.0

Chanda, A., Mukhopadhyay, A., Ghosh, T., Akhand, A., Mondal, P., Ghosh, S., & Hazra, S. (2016). Blue carbon stock of the Bangladesh Sundarban mangroves: what could be the scenario after a century? Wetlands, 36, 1033–1045. https://doi.org/10.1007/s13157-016-0819-7. IF 1.8

Mukhopadhyay, A., Hazra, S., Mitra, D., Hutton, C., Chanda, A., & Mukherjee, S. (2016). Characterizing the multi-risk with respect to plausible natural hazards in the Balasore coast, Odisha, India: a multi-criteria analysis (MCA) appraisal. Natural Hazards, 80, 1495–1513. https://doi.org/10.1007/s11069-015-2035-9. IF 3.3

Mukherjee, S., Mukherjee, S., Bhardwaj, A., Mukhopadhyay, A., Garg, R.D., & Hazra, S. (2015). Accuracy of Cartosat-1 DEM and its derived attribute at multiple scale representation. Journal of Earth System Science, 124, 487–495. IF 1.3

Islam, G.T., Islam, A.S., Shopan, A.A., Rahman, M.M., Lázár, A.N., & Mukhopadhyay, A. (2015). Implications of agricultural land use change to ecosystem services in the Ganges delta. Journal of Environmental Management, 161, 443–452. https://doi.org/10.1016/j.jenvman.2014.11.018. IF 8.0

Mukhopadhyay, A., Mondal, P., Barik, J., Chowdhury, S.M., Ghosh, T., & Hazra, S. (2015). Changes in mangrove species assemblages and future prediction of the Bangladesh Sundarbans using Markov chain model and cellular automata. Environmental Science: Processes & Impacts, 17(6), 1111–1117. https://doi.org/10.1039/C4EM00611A. IF 4.3

Mukhopadhyay, A., Mondal, A., Mukherjee, S., Khatua, D., Ghosh, S., Mitra, D., & Ghosh, T. (2014). Forest cover change prediction using hybrid methodology of geoinformatics and Markov chain model: A case study on sub-Himalayan town Gangtok, India. Journal of Earth System Science, 123, 1349–1360. https://doi.org/10.1007/s12040-014-0476-2. IF 1.3

Giri, S., Mukhopadhyay, A., Hazra, S., Mukherjee, S., Roy, D., Ghosh, S., & Mitra, D. (2014). A study on abundance and distribution of mangrove species in Indian Sundarban using remote sensing technique. Journal of Coastal Conservation, 18, 359–367. https://doi.org/10.1007/s11852-014-0322-3. IF 1.7

Ghosh, S., Mukhopadhyay, A., & Ghosh, T. (2013). Application of remote sensing & GIS for the feasibility study of potential tourism in Nayachar Island, India. International Journal of Emerging Technologies in Computational and Applied Sciences, 5(6), 574–577.

Mukherjee, S., Joshi, P.K., Mukherjee, S., Ghosh, A., Garg, R.D., & Mukhopadhyay, A. (2013). Evaluation of vertical accuracy of open source Digital Elevation Model (DEM). International Journal of Applied Earth Observation and Geoinformation, 21, 205–217. https://doi.org/10.1016/j.jag.2012.09.004. IF 7.6

Mukhopadhyay, A., Mukherjee, S., Garg, R.D., & Ghosh, T. (2013). Spatio-temporal analysis of land use-land cover changes in Delhi using remote sensing and GIS techniques. International Journal of Geomatics and Geosciences, 4(1), 213–223.

Manna, S., Mondal, P.P., Mukhopadhyay, A., Akhand, A., Hazra, S., & Mitra, D. (2013). Vegetation cover change analysis from multi-temporal satellite data in Jharkhali Island, Sundarbans, India. International Journal of Geo-Marine Sciences. IF 0.553

Mondal, A., Mukhopadhyay, A., Guha, S., Kundu, S., Mukherjee, S., & Dasgupta, R. (2012). Decadal-scale vegetation dynamics of Kolkata and its surrounding areas, India using fuzzy classification technique. Environment and Natural Resources Research, 2(4), 18. IF 6.22

Sarkar, D., Mukhopadhyay, A., & Hazra, S. (2012). Nature of tsunami and paleo tsunami deposits of South Andaman. International Journal of Basic and Applied Science Research, 2(3), 2275–2285.

Mukherjee, S., Mukhopadhyay, A., Bhardwaj, A., Mondal, A., Kundu, S., & Hazra, S. (2012). Digital elevation model generation and retrieval of terrain attributes using CARTOSAT-1 stereo data. International Journal of Science and Technology, 2(5), 265–271.

Mukhopadhyay, A., Dasgupta, R., Hazra, S., & Mitra, D. (2012). Coastal hazards and vulnerability: a review. International Journal of Geology, Earth and Environmental Sciences, 2(1), 57–69.

Mondal, A., Kundu, S., & Mukhopadhyay, A. (2012). Rainfall trend analysis by Mann-Kendall test: A case study of north-eastern part of Cuttack district, Orissa. International Journal of Geology, Earth and Environmental Sciences, 2(1), 70–78.

Mukhopadhyay, A., Mukherjee, S., Mukherjee, S., Ghosh, S., Hazra, S., & Mitra, D. (2012). Automatic shoreline detection and future prediction: A case study on Puri Coast, Bay of Bengal, India. European Journal of Remote Sensing, 45(1), 201–213. https://doi.org/10.5721/EuJRS20124519. IF 3.7

Ganguly, D., Mukhopadhyay, A., Pandey, R.K., & Mitra, D. (2006). Geomorphological study of Sundarban deltaic estuary. Journal of the Indian Society of Remote Sensing, 34, 431–435. https://doi.org/10.1007/BF02990928. IF 2.2

Book Chapters

Pal, I., Shaw, R., Dhungana, G., Mukhopadhyay, A., & Ganni, S.V.S.A.B. (2023). An overview of vulnerability and resilience building in the Asia Pacific region. In Multi-Hazard Vulnerability and Resilience Building (pp. 1–13).

Pal, I., Ali, F., Mukhopadhyay, A., Tansar, H., Hassan, S.F., Mohanty, A., Islam, H., & Ahmed, S. (2023). Extreme flood analysis for Lower Indus Basin, Pakistan study under disaster risk reduction. In Multi-Hazard Vulnerability and Resilience Building (pp. 281–314). Elsevier.

Mukhopadhyay, A., Pramanick, N., Chanda, A., Das, S., Barik, J., & Ghosh, T. (2022). Decadal assessment of mangroves of the Sundarban region under changing climate in Ganges-Brahmaputra-Meghna (GBM) delta. In Handbook on Climate Change and Disasters (pp. 514–524). Edward Elgar Publishing.

Begum, M., Pramanick, N., Mitra, D., Chanda, A., Hazra, S., & Mukhopadhyay, A. (2022). The Journey of Darjeeling Tea Gardens Over Decades in the Eyes of the Satellite. In Handbook of Climate Change Across the Food Supply Chain (pp. 21–37). Springer International Publishing.

Pramanick, N., Islam, E., Banerjee, S., Mukherjee, R., Maity, A., Acharyya, R., Chanda, A., Pal, I., & Mukhopadhyay, A. (2022). Threats from Sea Level Rise and Erosion: A Case Study of An Estuarine Inhabited Island Ghoramara, Hooghly Estuary. In Urban Ecology and Global Climate Change (pp. 321–345).

Barik, J., Pal, I., Ghosh, T., Mukherjee, S., & Mukhopadhyay, A. (2022). COVID-19 pandemic in the Arctic and Subarctic. In Pandemic Risk, Response, and Resilience (pp. 143–156). Elsevier.

Ghosh, T., Pramanik, N., Das, S., Chanda, A., & Mukhopadhyay, A. (2022). Spatial distribution of ponds in the indian sundarbans biosphere reserve: Special emphasis on size-class. In Pond Ecosystems of the Indian Sundarbans: An Overview (pp. 21–43).

Gupta, K., Pramanick, N., & Mukhopadhyay, A. (2021). Remote Sensing as a Tool for Mangrove Ecosystem Mapping and Monitoring: On Sundarbans' Perspective. In Sundarbans Mangrove Systems (pp. 67–92). CRC Press.

Acharyya, R., Pramanick, N., Gupta, K., Basu, A., Ghosh, T., & Mukhopadhyay, A. (2021). Monitoring the Effects of the Tropical Cyclone ‘Amphan’ on the Indian Sundarbans Using Microwave Remote Sensing. In Sundarbans Mangrove Systems (pp. 251–268). CRC Press.

Mukhopadhyay, A., & Ghosh, T. (2019). Dynamics of the Sundarbans Forested Islands in the Context of Erosion-Accretion and Sea Level Rise. In The Sundarbans: A Disaster-Prone Eco-Region (pp. 491–506). Springer, Cham.

Basu, A., Mukhopadhaya, S., Gupta, K., Mitra, D., Chattoraj, S.L., & Mukhopadhyay, A. (2021). Geostatistical Analysis of Suspended Particulate Matter Along the North-Western Coastal Waters of Bay of Bengal. In Estuarine Biogeochemical Dynamics of the East Coast of India (pp. 129–149). Springer, Cham.

Mukhopadhyay, A., Hornby, D.D., Hutton, C.W., Lázár, A., Amoako Johnson, F., & Ghosh, T. (2018). Land cover and land use: The spatial basis for integrated assessment. In Nicholls, R.J., Hutton, C.W., Adger, W.N., Hanson, S.E., Rahman, M.M., & Salehin, M. (Eds.), Ecosystem Services for Well-Being in Deltas: Integrated Assessment for Policy Analysis. Palgrave Macmillan. ISBN 978-3-319-71093-8.

Lázár, A.N., Payo, A., Nicholls, R.J., Adams, H., Clarke, D., Hutton, C.W., Kay, S., Fernandez, J., Haque, A., Ahmed, A., Mukhopadhyay, A., Whitehead, P., Salehin, M., Razzaque, Saleh, Szabo, S., Amoako Johnson, F., & Ceasar, J. (2018). Integrative modelling – building the Delta Dynamic Integrated Emulator Model (ΔDIEM). In Nicholls et al. (Eds.), Ecosystem Services for Well-Being in Deltas. Palgrave Macmillan.

Mukhopadhyay, A., Payo, A., Chanda, A., Ghosh, T., Chowdhury, S.M., & Hazra, S. (2018). Mangroves of Bangladesh Sundarbans: its ecosystem services under climate change: Policy implications. In Nicholls et al. (Eds.), Ecosystem Services for Well-Being in Deltas. Palgrave Macmillan.

Mitra, D., Bhandery, C., Mukhopadhyay, A., Chanda, A., & Hazra, S. (2018). Landslide Risk Assessment in Darjeeling Hills Using Multi-criteria Decision Support System: A Bayesian Network Approach. In Disaster Risk Governance in India and Cross Cutting Issues (pp. 361–386). Springer, Singapore.

Bhadra, T., Mukhopadhyay, A., & Hazra, S. (2017). Identification of River Discontinuity Using Geo-Informatics to Improve Freshwater Flow and Ecosystem Services in Indian Sundarban Delta. In Environment and Earth Observation (pp. 137–152). Springer International Publishing.

Ghosh, T., Hajra, R., & Mukhopadhyay, A. (2014). Island erosion and afflicted population: Crisis and policies to handle climate change. In International Perspectives on Climate Change (pp. 217–225). Springer International Publishing. ISBN 978-3-319-04488-0.

Mukherjee, T., Mukherjee, S., Mukhopadhyay, A., Roy, A.K., & Dutta, S. (2014). Drought Monitoring of Chhattisgarh Using Different Indices Based on Remote Sensing Data. In Climate Change and Biodiversity (pp. 85–101). Springer Japan.

Pal, I., Ghosh, T., Mukhopadhyay, A., & Ghosh, S. (2015). Cloudburst and flash flood at Uttarkashi (India): An assessment using Geo-informatics. In Multiple Geographical Perspectives on Hazards and Disasters (pp. 61–72). Valmar Publication. ISBN 978-88-979870-9-3.

Hati, J.P., Kaczmarek, H., Habel, M., Pal, I., Mitra, D., & Mukhopadhyay, A. (2026). Geoinformatics for sustainable coastal infrastructures: A technological pathway for climate change resilience. In Harnessing Earth Observation for Coastal Engineering (pp. 1–19). Elsevier. https://doi.org/10.1016/B978-0-443-27590-6.00013-0

Yadav, J., Marwah, H., Mukhopadhyay, A., & Rana, G. (2026). Coastal pollution and its impacts on coastal structures. In Harnessing Earth Observation for Coastal Engineering (pp. 21–51). Elsevier. https://doi.org/10.1016/B978-0-443-27590-6.00002-6

Acharyya, R., Habel, M., Mandal, D., & Mukhopadhyay, A. (2026). Geoinformatics for sustainable management of coastal estuaries: A comparative study of the Tana River estuary (Norway) and Subarnarekha estuary (India), a pathway from Arctic to tropic. In Harnessing Earth Observation for Coastal Engineering (pp. 53–85). Elsevier. https://doi.org/10.1016/B978-0-443-27590-6.00012-9

Banerjee, S., Kar, A., Pal, I., & Mukhopadhyay, A. (2026). Hazard profiling of Taiwan: Assessing vulnerability of coastal critical infrastructure using geospatial technology. In Harnessing Earth Observation for Coastal Engineering (pp. 87–101). Elsevier. https://doi.org/10.1016/B978-0-443-27590-6.00011-7

Gupta, K., & Mukhopadhyay, A. (2026). Impacts of landfast ice on coastal zone management: A Hudson Bay case study. In Harnessing Earth Observation for Coastal Engineering (pp. 169–177). Elsevier. https://doi.org/10.1016/B978-0-443-27590-6.00008-7