Journal articles & published work
Besnier, J., Getirana, A., Biswas, N. K. , & Lakshmi, V. (2026). Reconstructing reservoir water levels using basin-scale GRACE TWS and machine learning: A case study in the Upper Parana River Basin. Journal of Hydrology: Regional Studies, 65, 103503. https://doi.org/10.1016/j.ejrh.2026.103503
Uses basin-scale GRACE terrestrial water storage and machine learning to reconstruct reservoir water levels in Brazil’s Upper Paraná River Basin.
Patel, K., Rajib, A., Biswas, N. K. , Liu, Z., & Lofton, E. (2026). The HAND of flood mapping: Multi-dimensional evaluation across data-rich and data-poor basins using existing maps, ground observations, and remote sensing data. Environmental Research Communications. https://doi.org/10.1088/2515-7620/ae6236
Evaluates HAND-based flood mapping across data-rich and data-poor basins using existing maps, field observations, and satellite data.
Rothee, S.R., Biswas, N.K. , Sharma, S., Le, M.H. (2025). Analysis of land surface temperature and vegetation trends across major Indochina urban centers. Discov Geosci 3, 152. https://doi.org/10.1007/s44288-025-00260-0
Examines land surface temperature and vegetation trends across major urban centers in Indochina.
Ahmed, R.U., Rashid, M.M., Biswas, N.K. , Sharma, S. (2025). Flood Mapping from Satellite Imagery: A Response-Based Framework for Quantifying Flood Hazard and Uncertainty. Earth Syst Environ. https://doi.org/10.1007/s41748-025-00862-1
Presents a satellite-based framework for mapping flood hazards and quantifying uncertainty in the resulting flood information.
Getirana, A., Biswas, N.K., Kumar, S., Nie, W., Ahmad, S., Maina, F., Sakib, N., Hossain, M.S., & Biswas, R. K. (2025). Deltaic freshwater scarcity driven by unsustainable groundwater-fed irrigation. Nature Sustainability, 1-11. https://doi.org/10.1038/s41893-025-01566-0
Examines how groundwater-fed irrigation contributes to freshwater scarcity in a delta environment.
Lahmers, T. M., Kumar, S. V., Ahmad, S. K., Holmes, T., Getirana, A., Orland, E.,Locke, K., Biswas, N.K. , Nie, W.,Plung, J., Whitney, K., Anderson, M., & Yang, Y. (2025). An Observation Driven Framework for Modeling Post Fire Hydrologic Response: Evaluation for Two Central California Case Studies. Water Resources Research, 61(2), e2023WR036582. https://doi.org/10.1029/2023WR036582
Presents an observation-driven framework for modeling hydrologic responses after fire, evaluated in two central California case studies.
Khadim, F. K., Getirana, A., Bindlish, R., Biswas, N.K. , Nie, W., Lahmers, T. M., & Kumar, S. V. (2024). Continental freshwater discharge influences sea surface salinity variability near world’s megadeltas. Proceedings of the National Academy of Sciences, 121(49), e2412551121. https://doi.org/10.1073/pnas.2412551121
Investigates the relationship between continental freshwater discharge and sea surface salinity near the world’s megadeltas.
Huang, T., Chung, N. T., David, C. H., Hasheminassab, S., Kalashnikova, O. V., Perez, S., Biswas, N.K. , & Rodriguez-Suquet, R. (2024, July). Open-Source Framework for Earth System Digital Twins.In IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium (pp. 2323-2327). IEEE. https://doi.org/10.1109/IGARSS53475.2024.10642313
Presents an open-source framework for Earth system digital twins.
Maina, F. Z., Getirana, A., Kumar, S. V., Saharia, M., Biswas, N. K. , McLarty, S., & Appana, R. (2024). Irrigation-driven groundwater depletion in the Ganges-Brahmaputra basin decreases the streamflow in the Bay of Bengal. Communications Earth & Environment, 5(1), 169. https://doi.org/10.1038/s43247-024-01348-0
Examines how irrigation-driven groundwater depletion in the Ganges–Brahmaputra basin affects freshwater discharge to the Bay of Bengal.
Rahat, S. H., Saki, S., Khaira, U., Biswas, N. K. , Dollan, I. J., Wasti, A., ... & Ray, P. (2024). Bracing for impact: how shifting precipitation extremes may influence physical climate risks in an uncertain future. Scientific Reports, 14(1), 17398. https://doi.org/10.1038/s41598-024-65618-9
Examines how changing precipitation extremes may affect physical climate risks under uncertain future conditions.
Huang, T., Chung, N. T., David, C. H., Hasheminassab, S., Kalashnikova, O. V., Perez, S., .. Biswas, N. K. , .., Rodriguez-Suquet, R. (2024). Open-Source Framework for Earth System Digital Twins. In IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium (pp. 2323-2327). IEEE. https://doi.org/10.1109/IGARSS53475.2024.10642313
Presents an open-source framework for Earth system digital twins.
Getirana, A., Biswas, N. K. , Qureshi, A. S., Rajib, A., Kumar, S., Rahman, M., & Biswas, R. K. (2022). Avert Bangladesh’s looming water crisis through open science and better data. doi: https://doi.org/10.1038/d41586-022-03373-5
Discusses Bangladesh’s emerging water crisis and the need for open science and better information on water use and availability.
Biswas, N.K. , Stanley, T.A., Kirschbaum, D.B., Amatya, P.M., Meechaiya, C., Poortinga, A. and Towashiraporn, P. (2022). A dynamic landslide hazard monitoring framework for the Lower Mekong Region. Front. Earth Sci. 10:1057796. https://doi.org/10.3389/feart.2022.1057796
Introduces a dynamic landslide hazard monitoring framework for the Lower Mekong Region.
Das, P., Hossain, F., Khan, S., Biswas, N.K. , Lee, H., Piman, T., Meechaiya, C., Ghimire, U., Hosen, K. (2022). Reservoir Assessment Tool 2.0: Stakeholder driven Improvements to Satellite Remote Sensing based Reservoir Monitoring, Environmental Modeling and Software, vol. 157. https://doi.org/10.1016/j.envsoft.2022.105533.
Describes stakeholder-driven improvements to satellite-based reservoir monitoring in Reservoir Assessment Tool 2.0.
Hossain, F., Biswas, N.K. et al. (2021). Impact Evaluation of an Operational Satellite-based Integrated Rice Advisory System in Northeastern Bangladesh. International Journal of Irrigation and Water Management
Evaluates an operational satellite-based rice advisory system in northeastern Bangladesh.
Tien, D, T. L., Lee, H., Bui, D. D., Graham, L. P., Darby, S. D., Pechlivanidis, I. G., Leyland, V. J., Biswas, N. K. , Choi, G., Batelaan, O., Bui, T. T. P., Do, S.K., Tran, V. T., Nguyen, H. T., Hwang, E. (2021). Streamflow Prediction in Highly Regulated, Transboundary Watersheds Using Multi Basin Modelling and Remote Sensing Imagery. Water Resources Research, e2021WR031191.
Combines multi-basin modeling and remote sensing to predict streamflow in highly regulated transboundary watersheds.
Biswas, N.K. , & Hossain, F. (2021). A Multi-decadal Analysis of Reservoir Storage Change in Developing Regions. Journal of Hydrometeorology. https://doi.org/10.1175/JHM-D-21-0053.1
Analyzes multiple decades of reservoir storage changes in developing regions.
Bose, I., Hossain, F., Eldardiry, H.,Ahmad, S.K., Biswas, N. K. , Ashraf, M., Fatima, B., Iqbal, N., Hasan, F., Lee, H. and Aziz, M. (2020). Integrating Gravimetry Data With Thermal Infra‐Red Data From Satellites to Improve Efficiency of Operational Irrigation Advisory in South Asia. Water Resources Research, 57(4), e2020WR028654. https://doi.org/10.1029/2020WR028654
Combines satellite gravimetry and thermal infrared observations to improve operational irrigation advisories in South Asia.
Bhuiyan, M. A. E., Yang, F., Biswas, N. K. , Rahat, S. H., & Neelam, T. J. (2020). Machine Learning-Based Error Modeling to Improve GPM IMERG Precipitation Product over the Brahmaputra River Basin. Forecasting, 2(3), 248-266. https://doi.org/10.3390/forecast2030014
Uses machine learning to model errors and improve GPM IMERG precipitation estimates over the Brahmaputra River Basin.
Beveridge, Claire, et al. "Stakeholder-driven development of a cloud-based, satellite remote sensing tool to monitor suspended sediment concentrations in major Bangladesh rivers." Environmental Modelling & Software (2020): 104843. https://doi.org/10.1016/j.envsoft.2020.104843
Describes a cloud-based satellite tool developed with stakeholders to monitor suspended sediment in major Bangladesh rivers.
Biswas, N.K. , F. Hossain, M. Bonnema, A. Aminul, R. Biswas, A. Buiyan, A. Hossain. (2020). A computationally efficient flashflood early warning system for a mountainous and transboundary river basin in Bangladesh. Journal of Hydroinformatics, 22(6), 1672-1692. https://doi.org/10.2166/hydro.2020.202
Presents a computationally efficient flash flood early warning system for a mountainous transboundary river basin in Bangladesh.
Biswas, N.K. , F. Hossain, M. Bonnema, H. Lee, F. Chishtie (2021). Towards a global Reservoir Assessment Tool for predicting hydrologic impacts and operating patterns of existing and planned reservoirs. Environmental Modelling & Software, 140, 105043. https://doi.org/10.1016/j.envsoft.2021.105043
Introduces a reservoir assessment framework for estimating hydrologic impacts and operating patterns of existing and planned reservoirs.
Biswas, N. K. , Hossain, F., Bonnema, M., Okeowo, M. A., & Lee, H. (2019). An altimeter height extraction technique for dynamically changing rivers of South and South-East Asia. Remote Sensing of Environment, 221, 24-37.
Describes an altimeter height extraction technique that accounts for changing river geometry in South and Southeast Asia.
Hossain, F., Bonnema, M., Biswas, N.K. , Ahmad, S., Duong, B., & Luong, N. D. (2019). When floods cross borders, satellite data can help, Eos, 100.
Explains how satellite observations can support flood monitoring when rivers cross national borders.
Biswas, N. K. , & Hossain, F. (2018). A scalable open-source web-analytic framework to improve satellite-based operational water management in developing countries. Journal of Hydroinformatics, 20(1), 49-68. https://doi.org/10.2166/hydro.2017.073
Presents a scalable open-source web framework for applying satellite observations to operational water management.
Hossain, F., Biswas, N.K. , Ashraf, M., & Bhatti, A. Z. (2017). Growing more with less using cell phones and satellite data. Eos, 98(10.1029).
Describes the use of satellite data and mobile phones to support irrigation decisions and water-efficient farming.
Hossain, F., Sikder, S., Biswas, N. K. , Bonnema, M., Lee, H., Luong, N. D., ... & Long, D. (2017). Predicting water availability of the regulated Mekong river basin using satellite observations and a physical model. Asian Journal of Water, Environment and Pollution, 14(3), 39-48. https://doi.org/10.3233/AJW-170024
Combines satellite observations with a physical model to predict water availability in the regulated Mekong River Basin.
Other publications
3. Calibration and Sensitivity Analysis of a Hydrological Model for Jamunesswari River Basin of Bangladesh
Biswas, N. K. , Paul, M., & Haider, M. R. (2015). Calibration and Sensitivity Analysis of a Hydrological Model for Jamunesswari River Basin of Bangladesh. Journal of Civil Engineering and Environmental Technology, (2), 200-205.
Examines calibration and parameter sensitivity in a hydrological model of Bangladesh’s Jamunesswari River Basin.
2. Sustainability of an artificial dredged channel along the braided Jamuna River of Bangladesh, Journal of River Research Institute, 12(2), 59-67
Biswas, N.K. , Jubair, S., & Rahman, M.M. (2014). Sustainability of an artificial dredged channel along the braided Jamuna River of Bangladesh, Journal of River Research Institute, 12(2), 59-67
Assesses the sustainability of an artificially dredged channel in Bangladesh’s braided Jamuna River.
1. Application of CCHE2D mathematical model in the Gorai Offtake for two-dimensional simulation
Biswas, N. K. , & Ahammad, M. (2014). Application of CCHE2D mathematical model in the Gorai Offtake for two-dimensional simulation. International Journal of Surface and Groundwater Management, 1(1), 52-58.
Applies the CCHE2D model to simulate two-dimensional flow at the Gorai offtake.
Conferences & presentations
30. A global quantification of the response of reservoir storage changes to droughts. H53N-1298
Biswas, N. K. , Kumar, S. V. (2024). A global quantification of the response of reservoir storage changes to droughts. H53N-1298. AGUFM.
Examines how reservoir storage responds to drought across the globe.
29. Open-Source Framework for Earth System Digital Twins. IN51E-2410
Chung, N.G., David, C.H., Huang, T., Biswas, N.K. et al. (2024). Open-Source Framework for Earth System Digital Twins. IN51E-2410. AGUFM
Presents an open-source approach to developing Earth system digital twins.
28. Spatiotemporal Variability Analysis of Evapotranspiration and Soil Moisture in Relation to Agriculture in Bangladesh
Khatun, F., Das, U., Pritha, Z.K., Tasnia, N., Biswas, N.K. , Rouf, T., Jahan, N., Zobeyer, H. (2024). Spatiotemporal Variability Analysis of Evapotranspiration and Soil Moisture in Relation to Agriculture in Bangladesh. AGUFM.
Examines variations in evapotranspiration and soil moisture and their relationship to agriculture in Bangladesh.
27. Unravelling the role of global and downscaled rainfall forecasts in landslide hazard prediction over the Lower Mekong Region
Biswas, N. K. , Stanley, T. A., Kirschbaum, D.B., Laverde, M., and Towashiraporn, P. (2024). Unravelling the role of global and downscaled rainfall forecasts in landslide hazard prediction over the Lower Mekong Region. AGUFM.
Investigates global and downscaled rainfall forecasts as inputs for landslide hazard prediction in the Lower Mekong Region.
26. Spatiotemporal Variability Analysis of Precipitation and Surface Water Extent in Bangladesh using Google Earth Engine: Implications for Flood Risk Management
Tasnia, N., Pritha, Z.K., Das, U., Khatun, F., Biswas, N.K. , Rouf, T., Jahan, N., Zobeyer, H. (2024). Spatiotemporal Variability Analysis of Precipitation and Surface Water Extent in Bangladesh using Google Earth Engine: Implications for Flood Risk Management. AGUFM.
Uses Google Earth Engine to examine precipitation and surface water variability relevant to flood risk in Bangladesh.
25. An observation-driven framework for modeling post-fire hydrologic response: evaluation for two central California case studies
Lahmers, T., Kumar, S.V., Ahmad, S.K. Biswas, N.K. et al. (2024). An observation-driven framework for modeling post-fire hydrologic response: evaluation for two central California case studies. AGUFM, H12H-06.
Presents an observation-driven approach to modeling hydrologic responses following fire in two central California case studies.
24. Using Ocean Salinity and Machine Learning for Improved Seasonal and Sub-Seasonal Forecasts of Soil Moisture and Stream Flow
Raymond, S. & Biswas, N. K. (2024). Using Ocean Salinity and Machine Learning for Improved Seasonal and Sub-Seasonal Forecasts of Soil Moisture and Stream Flow. WaterSciCon24 by AGU 2024
Explores ocean salinity and machine learning as sources of information for seasonal and subseasonal soil moisture and streamflow forecasts.
23. Bay of Benghal’s responses to groundwater withdrawals in the Ganges-Brahmaputra basin
Maina, F. Z., Getirana, A., Kumar, S. V., Saharia, M., Biswas, N. K. , McLarty, S., & Appana, R. (2024). Bay of Benghal’s responses to groundwater withdrawals in the Ganges-Brahmaputra basin. AGU Chapman Conference on Remote Sensing of the Water Cycle.
Examines the response of the Bay of Bengal to groundwater withdrawals in the Ganges–Brahmaputra basin.
22. An Open-Source Framework for Federation of Earth System Digital Twins
Huang, T., Bull, M., David, C.H., Biswas, N.K. et al. (2023). An Open-Source Framework for Federation of Earth System Digital Twins. AGUFM 2023.
Discusses an open-source framework for connecting Earth system digital twins.
21. Climate and human impacts on hydrological processes and flood risk in the Bay of Bengal
Getirana, A., Biswas, N. K. , Nie, W., & Kumar, S. V. (2023). Climate and human impacts on hydrological processes and flood risk in the Bay of Bengal. In AGU Fall Meeting Abstracts (Vol. 2023, pp. EP32B-06).
Examines the combined influence of climate and human activities on hydrological processes and flood risk in the Bay of Bengal.
20. Creating an open-source science ecosystem and culture for NASA's Earth Information System
Felikson, D., Shiklomanov, A. N., Biswas, N. K. , Ashraf, T., Bowman, K. W., Carroll, M., ... & Corradini, G. (2023). Creating an open-source science ecosystem and culture for NASA's Earth Information System. In AGU Fall Meeting Abstracts (Vol. 2023, No. 609, pp. IN23C-0609).
Discusses the development of an open-source science ecosystem for NASA’s Earth Information System.
19. Using GRACE TWS to Predict Reservoir Height in the Upper Parana River Basin
Besnier, J., Getirana, A., Lakshmi, V. V., & Biswas, N. K. (2023). Using GRACE TWS to Predict Reservoir Height in the Upper Parana River Basin. In AGU Fall Meeting Abstracts (Vol. 2023, No. 2245, pp. H43L-2245).
Explores GRACE terrestrial water storage as a predictor of reservoir height in the Upper Paraná River Basin.
18. Modeling the impacts of fire induced soil hydrophobicity and vegetation disturbances on hydrologic response in the western US
Lahmers, T. M., Kumar, S. V., Ahmad, S. K., Holmes, T. R., Getirana, A., Orland, E., Biswas, N.K. & Pflug, J. M. (2023). Modeling the impacts of fire induced soil hydrophobicity and vegetation disturbances on hydrologic response in the western US. In AGU Fall Meeting Abstracts (Vol. 2023, No. 1338, pp. H11G-1338).
Models the hydrologic effects of fire-related changes in soil water repellency and vegetation in the western United States.
17. Developing an efficient globally applicable flood mapping framework using SWAT and HAND
Patel, K., Rajib, A., & Biswas, N. K. (2023). Developing an efficient globally applicable flood mapping framework using SWAT and HAND. AGU Fall Meeting Abstracts (Vol. 2023, No. 1855, pp. H31Z-1855).
Combines SWAT and HAND within a flood mapping framework intended for application across regions.
16. A multivariate data assimilation to estimate the impacts of groundwater depletion in the Ganges-Brahmaputra on the Bay of Bengal's streamflow
Maina, F. Z., Getirana, A., Kumar, S. V., Saharia, M., Biswas, N. K. , Appana, R., & Richey McLarty, A. (2023). A multivariate data assimilation to estimate the impacts of groundwater depletion in the Ganges-Brahmaputra on the Bay of Bengal's streamflow. In AGU Fall Meeting Abstracts (Vol. 2023, pp. H23F-03).
Uses multivariate data assimilation to examine how groundwater depletion affects streamflow reaching the Bay of Bengal.
15. Dynamic landslide hazard forecasting over the Lower Mekong Region using global forecasting precipitation products
Biswas, N. K. , Laverde, M., Stanley, T., Amatya, P. M., & Kirschbaum, D. (2023). Dynamic landslide hazard forecasting over the Lower Mekong Region using global forecasting precipitation products. In AGU Fall Meeting Abstracts (Vol. 2023, No. 711, pp. NH13D-0711).
Explores global precipitation forecasting products for dynamic landslide hazard forecasting in the Lower Mekong Region.
14. Satellite remote sensing observation based groundwater monitoring over Bangladesh
Biswas, N. K. , Getirana, A., Sakib, N., Kumar, S. V., Nie, W., Rahman, K. S., & Biswas, R. K. (2023). Satellite remote sensing observation based groundwater monitoring over Bangladesh. In AGU Fall Meeting Abstracts (Vol. 2023, No. 983, pp. GC21F-0983).
Uses satellite observations to support groundwater monitoring across Bangladesh.
13. A near-real-time and dynamic landslide hazard forecasting framework for the Lower Mekong Region. 6thWorld Landslide Forum, November 2023 in Florence, Italy
Biswas, N.K. , Laverde, M., Stanley, T.A., Kirschbaum, D.B., Amatya, P.M., Meechaiya, C. (2023). A near-real-time and dynamic landslide hazard forecasting framework for the Lower Mekong Region. 6thWorld Landslide Forum, November 2023 in Florence, Italy
Presents a near-real-time framework for forecasting changing landslide hazards in the Lower Mekong Region.
12. Understanding the stress on water resources due to climate change and human activities in Bangladesh using satellite observations
Biswas, N. K. , Getirana, A., Kumar, S. (2022). Understanding the stress on water resources due to climate change and human activities in Bangladesh using satellite observations. AGUFM, H52L-0621
Uses satellite observations to investigate water-resource pressures from climate change and human activities in Bangladesh.
11. A dynamic Landslide hazard forecasting Framework for the Lower Mekong Region
Biswas, N. K. , Stanley, T. A., Amatya, P. M., Kirschbaum, D.B., Meechaiya, C., Laverde, M., , and Towashiraporn, P. (2022). A dynamic Landslide hazard forecasting Framework for the Lower Mekong Region. AGUFM, GC15G-0523.
Presents a dynamic framework for landslide hazard forecasting in the Lower Mekong Region.
10. Investigating the potential of forecast products to inform extreme event analysis and multi-scale landslide hazard assessment
Kirschbaum, D., Thomas Stanley, Sana Khan, Nishan Kumar Biswas , Robert Emberson, Elijah Orland (2022). Investigating the potential of forecast products to inform extreme event analysis and multi-scale landslide hazard assessment. AGUFM, A52F-04.
Investigates forecast products for extreme-event analysis and landslide hazard assessment at multiple spatial scales.
9. Climate and Human Impacts on Hydrological Processes and Flood Risk in the Ganges-Brahmaputra Delta
Augusto Getirana, Nishan Kumar Biswas , Sujay V Kumar. (2022). Climate and Human Impacts on Hydrological Processes and Flood Risk in the Ganges-Brahmaputra Delta. AGUFM, H25B-04.
Examines climate and human influences on hydrological processes and flood risk in the Ganges–Brahmaputra delta.
8. Advancing landslide hazard assessment around the world, AGUFM, NH15B-08
Thomas Stanley, Dalia Kirschbaum, Pukar Man Amatya, Nishan Kumar Biswas , Robert Emberson, Elijah Orland, Rachel Soobitsky (2022) Advancing landslide hazard assessment around the world, AGUFM, NH15B-08
Discusses approaches for advancing landslide hazard assessment across different regions of the world.
7. Evaluation of Satellite-Based Soil Moisture Products using the Landslide Hazard Assessment for Situational Awareness (LHASA) Model for Landslide Prediction and Hazard Analysis in the Lower Mekong River Basin
Chelsea Dandridge, Thomas Stanley, Nishan Kumar Biswas , Venkataraman, Lakshmi, Dalia Kirschbaum (2022). Evaluation of Satellite-Based Soil Moisture Products using the Landslide Hazard Assessment for Situational Awareness (LHASA) Model for Landslide Prediction and Hazard Analysis in the Lower Mekong River Basin. AGUFM, H42G-1378
Evaluates satellite soil moisture products for landslide prediction using the LHASA model in the Lower Mekong River Basin.
6. A Multi-Agency Collaboration Digital Twin for Flood Prediction and Analysis
Thomas Huang, Cedric H David, Jason Kang, Kevin M Marlis, Miles Milosevich, Stepheny Perez, William Phyo, Catalina M Oaida, Joe T Roberts, Mark Wronkiewicz, Sujay V Kumar, Nishan Kumar Biswas , Paul W Stackhouse Jr, David Borges, Madison Broddle, Bradley Macpherson, Simon Baillarin, Gwendoline Blanchet, Frederic Bretar, Peter Kettig, Raquel Rodriguez, Sophie M Ricci, Andrea Piacentini, Thanh-Huy Nguyen, Guillaume Valladeau, Jean-Christophe Poisson, Alice Froidevaux, Romane Raynal, Thanh-Long Huynh. (2022). A Multi-Agency Collaboration Digital Twin for Flood Prediction and Analysis. AGUFM, IN35D-0423
Presents a digital-twin collaboration among multiple agencies for flood prediction and analysis.
5. Using remotely sensed information to support landslide hazard and exposure assessment throughout the disaster lifecycle
Stanley, T., Kirschbaum, D., Amatya, P. M., Emberson, R. A., Khan, S., Orland, E., Biswas, N. K. , Clark, M.K., and Zekkos, D. (2021). Using remotely sensed information to support landslide hazard and exposure assessment throughout the disaster lifecycle. AGUFM, NH35E-0524
Explores satellite information for assessing landslide hazards and exposure across different stages of disaster management.
4. Development of a dynamic landslide hazard awareness system for the Lower Mekong Region
Biswas, N. K. , Stanley, T. A., Amatya, P. M., Kirschbaum, D., Meechaiya, C., Poortinga, A., Laverde, M., Thwal, N. S., Markert, A., and Chishtie, F. (2021). Development of a dynamic landslide hazard awareness system for the Lower Mekong Region. AGUFM, GC54B-05.
Describes the development of a system for tracking changing landslide hazards in the Lower Mekong Region.
3. A Global Reservoir Assessment Tool (RAT) for the global constructed and planned dams
Biswas, N. K. , & Hossain, F. (2020). A Global Reservoir Assessment Tool (RAT) for the global constructed and planned dams. AGUFM, 2020.
Presents RAT as a satellite-based framework for assessing existing and planned dams.
2. A Satellite Observations and Numerical Modelling Based Integrated Flash Flood Forecasting System for North-East Region of Bangladesh
Biswas, N. K. , & Hossain, F. (2018). A Satellite Observations and Numerical Modelling Based Integrated Flash Flood Forecasting System for North-East Region of Bangladesh. AGUFM, 2018, H41I-2162.
Combines satellite observations and numerical models in an integrated flash flood forecasting system for northeastern Bangladesh.
1. Design and Performance Analysis of a Real-time Correction Application to the IMERG Estimated Precipitation in Ganges-Brahmaputra Basin, AMSFM, 2016
Biswas, N. K. , & Hossain, F. (2016). Design and Performance Analysis of a Real-time Correction Application to the IMERG Estimated Precipitation in Ganges-Brahmaputra Basin, AMSFM, 2016.
Evaluates a real-time correction approach for IMERG precipitation estimates over the Ganges–Brahmaputra basin.
1. Application of mathematical models to improve flood control, drainage, and irrigation facilities Shariatpur district, Bangladesh. 5th International Conference on Water & Flood Management 6-8 March 2015, IWFM, BUET, Bangladesh
Hossain, M. S., Pk, S., Kafi, M. A. H., Mazumder, L. C., Sultana, T., & Biswas, N. K. (2014) Application of mathematical models to improve flood control, drainage, and irrigation facilities Shariatpur district, Bangladesh. 5th International Conference on Water & Flood Management 6-8 March 2015, IWFM, BUET, Bangladesh.
Applies mathematical models to flood control, drainage, and irrigation planning in Shariatpur district, Bangladesh.
