Leading the development of Google Cloud Platform based Landslide Hazard Assessment model for Situational Awareness (LHASA) for the Lower Mekong Region of South-East Asia. Providing training and building capacity of the stakeholder agencies on modern practices in landslide hazard monitoring and management using advanced information technology cloud computing. Working on migrating landslide hazard monitoring system to the advanced computational IT infrastructure (i.e. Google Earth Engine, Google Cloud Platform).
Lead developer of Machine Learning based Landslide Hazard Assessment model for Situational Awareness (LHASA) for the Lower Mekong Region of South-East Asia using Google Cloud Platform(GCP). Also, led the initiative to migrate landslide global hazard monitoring systems to the open-source cloud computing frameworks. Has been providing training to the Lower Mekong region agencies to enhance their understanding and capability to use NASA earth observation datasets and models for the decision support and policy analysis.
Ph.D. in Civil and Environmental Engineering (June 2017 – January 2021)
University of Washington, Seattle, WA, USA
Thesis: Mainstreaming multi-mission satellite observations in advancing operational water management
Professor: Dr. Faisal Hossain (SASWE Research Group)
MSc in Civil and Environmental Engineering (January 2016 – June 2017)
University of Washington, Seattle, WA, USA
BSc in Water Resources Engineering (January 2008 – February 2013)
Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh
Reviewer of the following journals:
NASA HBG Annual Peer Award for Science/Technical support, 2022
NASA SWOT Early Adopter Virtual Hackathon certificate of appreciation, 2020
Bangladesh Water Development Board appreciation award for flash flood forecasting, 2020
University of Washington student film contest on public messaging and engagement award, 2019
University of Washington Ivanhoe Fellowship, 2015; 2016
Biswas, N. K., T. A. Stanley, D. B. Kirschbaum, et al. P. M. Amatya, C. Meechaiya, A. Poortinga, and P. Towashiraporn. 2022. "A dynamic landslide hazard monitoring framework for the Lower Mekong Region." Frontiers in Earth Science, 10: [10.3389/feart.2022.1057796]
Getirana, A., N. K. Biswas, A. S. Qureshi, et al. A. Rajib, S. Kumar, M. Rahman, and R. K. Biswas. 2022. "Avert Bangladesh’s looming water crisis through open science and better data." Nature, 610 (7933): 626-629 [10.1038/d41586-022-03373-5]
Biswas, N., and F. Hossain. 2022. "A Multidecadal Analysis of Reservoir Storage Change in Developing Regions." Journal of Hydrometeorology, 23 (1): 71-85 [10.1175/JHM-D-21-0053.1]
Bose, I., S. Jayasinghe, C. Meechaiya, et al. S. K. Ahmad, N. Biswas, and F. Hossain. 2021. "Developing a Baseline Characterization of River Bathymetry and Time-Varying Height for Chindwin River in Myanmar Using SRTM and Landsat Data." Journal of Hydrologic Engineering, 26 (11): 05021030 [10.1061/(asce)he.1943-5584.0002126]
Biswas, N. K., F. Hossain, M. Bonnema, H. Lee, and 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 [10.1016/j.envsoft.2021.105043]
Bose, I., F. Hossain, H. Eldardiry, et al. S. Ahmad, N. K. Biswas, A. Z. Bhatti, H. Lee, M. Aziz, and M. S. Kamal Khan. 2021. "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): [10.1029/2020wr028654]
Biswas, N. K., F. Hossain, M. Bonnema, et al. A. M. Aminul Haque, R. K. Biswas, A. Bhuyan, and A. Hossain. 2020. "A computationally efficient flash flood early warning system for a mountainous and transboundary river basin in Bangladesh." Journal of Hydroinformatics, 22 (6): 1672-1692 [10.2166/hydro.2020.202]
Bhuiyan, M. A., F. Yang, N. K. Biswas, S. H. Rahat, and T. J. Neelam. 2020. "Machine Learning-Based Error Modeling to Improve GPM IMERG Precipitation Product over the Brahmaputra River Basin." Forecasting, 2 (3): 248-266 [10.3390/forecast2030014]
Hossain, F., M. Bonnema, N. Biswas, et al. S. Ahmad, B. Duong, and N. Luong. 2019. "When Floods Cross Borders, Satellite Data Can Help." Eos, 100: [10.1029/2019eo115775]
Biswas, N. K., F. Hossain, M. Bonnema, M. A. Okeowo, and H. Lee. 2019. "An altimeter height extraction technique for dynamically changing rivers of South and South-East Asia." Remote Sensing of Environment, 221: 24-37 [10.1016/j.rse.2018.10.033]
Biswas, N. K., and F. Hossain. 2017. "A scalable open-source web-analytic framework to improve satellite-based operational water management in developing countries." Journal of Hydroinformatics, 20 (1): 49-68 [10.2166/hydro.2017.073]
Hossain, F., S. Sikder, N. Biswas, et al. M. Bonnema, H. Lee, N. Luong, N. Hiep, B. Du Duong, and D. Long. 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 [10.3233/ajw-170024]
Understanding the stresses on freshwater resources in Ganges Delta due to climate change and human impact using satellite observations
1 / 6 / 2023Bangladesh, a developing country striving to become a food-sufficient nation, is dealing with the demands of a population of more than 160 million people. To ensure optimized food production, the country has expanded the agricultural land to a great extent and increased the cropping frequency in recent decades. When the cropping frequency increased, the dry season crops depend on groundwater resources for the irrigation due to surface water scarcity. In this study, we characterize the agricultural expansion and its impacts on water resources using satellite and in situ datasets. The expansion of the cropland was quantified using the NASA MODIS satellite provided annual land cover dataset. From the in-situ groundwater table data, the trend was analyzed to identify the region of the country with the most negative trend. MODIS satellite provided Leaf Area Index (LAI) data was used to see the increasing trend in agricultural activity and a match was found with the groundwater table data trend. Using the NASA MODIS satellite provided evapotranspiration data, an increasing trend found in the region with dry season agriculture, which can be explained by the flooding irrigation practices. The GRACE satellite provided terrestrial water storage (TWS) data, which was used to quantify the impact of groundwater depletion on the TWS availability. The decreasing trend in precipitation over the country was also seen from the NASA GPM satellite. It was found that the decreasing trend in precipitation with the depletion of groundwater has already put an enormous stress on the water resources in the region which has impact on the drinking water availability, groundwater contamination, and saltwater intrusion. This study sheds light on the understudied relationship between the different phenomena including season shifting, which will be useful in terms of identification of the water-stressed region, and future policy decisions.
Biswas, N. K., T. A. Stanley, D. B. Kirschbaum, et al. P. M. Amatya, C. Meechaiya, A. Poortinga, and P. Towashiraporn. 2022. "A dynamic landslide hazard monitoring framework for the Lower Mekong Region." Frontiers in Earth Science 10 [10.3389/feart.2022.1057796]
Getirana, A., N. K. Biswas, A. S. Qureshi, et al. A. Rajib, S. Kumar, M. Rahman, and R. K. Biswas. 2022. "Avert Bangladesh’s looming water crisis through open science and better data." Nature 610 (7933): 626-629 [10.1038/d41586-022-03373-5]
Biswas, N., and F. Hossain. 2022. "A Multidecadal Analysis of Reservoir Storage Change in Developing Regions." Journal of Hydrometeorology 23 (1): 71-85 [10.1175/JHM-D-21-0053.1]
Bose, I., S. Jayasinghe, C. Meechaiya, et al. S. K. Ahmad, N. Biswas, and F. Hossain. 2021. "Developing a Baseline Characterization of River Bathymetry and Time-Varying Height for Chindwin River in Myanmar Using SRTM and Landsat Data." Journal of Hydrologic Engineering 26 (11): 05021030 [10.1061/(asce)he.1943-5584.0002126]
Biswas, N. K., F. Hossain, M. Bonnema, H. Lee, and 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 [10.1016/j.envsoft.2021.105043]
Bose, I., F. Hossain, H. Eldardiry, et al. S. Ahmad, N. K. Biswas, A. Z. Bhatti, H. Lee, M. Aziz, and M. S. Kamal Khan. 2021. "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): [10.1029/2020wr028654]
Biswas, N. K., F. Hossain, M. Bonnema, et al. A. M. Aminul Haque, R. K. Biswas, A. Bhuyan, and A. Hossain. 2020. "A computationally efficient flash flood early warning system for a mountainous and transboundary river basin in Bangladesh." Journal of Hydroinformatics 22 (6): 1672-1692 [10.2166/hydro.2020.202]
Bhuiyan, M. A., F. Yang, N. K. Biswas, S. H. Rahat, and T. J. Neelam. 2020. "Machine Learning-Based Error Modeling to Improve GPM IMERG Precipitation Product over the Brahmaputra River Basin." Forecasting 2 (3): 248-266 [10.3390/forecast2030014]
Hossain, F., M. Bonnema, N. Biswas, et al. S. Ahmad, B. Duong, and N. Luong. 2019. "When Floods Cross Borders, Satellite Data Can Help." Eos 100 [10.1029/2019eo115775]
Biswas, N. K., F. Hossain, M. Bonnema, M. A. Okeowo, and H. Lee. 2019. "An altimeter height extraction technique for dynamically changing rivers of South and South-East Asia." Remote Sensing of Environment 221 24-37 [10.1016/j.rse.2018.10.033]
Biswas, N. K., and F. Hossain. 2017. "A scalable open-source web-analytic framework to improve satellite-based operational water management in developing countries." Journal of Hydroinformatics 20 (1): 49-68 [10.2166/hydro.2017.073]
Hossain, F., S. Sikder, N. Biswas, et al. M. Bonnema, H. Lee, N. Luong, N. Hiep, B. Du Duong, and D. Long. 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 [10.3233/ajw-170024]