Publications

The DFO – Flood Observatory has significantly influenced flood science and global hazard research over the years. Below is a selection of publications in which DFO staff contributed directly or in which DFO datasets played a key role. Together, these works demonstrate the Observatory’s lasting impact on advancing our understanding of floods and their societal consequences.

Langlois, B.K., Magnuson, A., Griffin, T., Coughlan de Perez, E., Naumova, E. and Koch, M., 2024. A framework and pilot study for assessing usability of flood data portals for interdisciplinary research. PLOS Climate, 3(11), p.e0000511.
Schumann, G., Giustarini, L., Tarpanelli, A., Jarihani, B. and Martinis, S., 2023. Flood modeling and prediction using earth observation data. Surveys in Geophysics, 44(5), pp.1553-1578.
Zhang, J., Liu, K. and Wang, M., 2023. Flood detection using Gravity Recovery and Climate Experiment (GRACE) terrestrial water storage and extreme precipitation data. Earth System Science Data, 15(2), pp.521-540.
Kettner, A.J., Brakenridge, G.R., Schumann, G.J. and Shen, X., 2021. DFO—flood observatory. In Earth observation for flood applications (pp. 147-164). Elsevier.
Oddo, P.C. and Bolten, J.D., 2019. The value of near real-time earth observations for improved flood disaster response. Frontiers in Environmental Science, 7, p.127.
Schumann, G.J., Brakenridge, G.R., Kettner, A.J., Kashif, R. and Niebuhr, E., 2018. Assisting flood disaster response with earth observation data and products: A critical assessment. Remote sensing, 10(8), p.1230.
Schumann, G.J.P., Frye, S., Wells, G., Adler, R., Brakenridge, R., Bolten, J., Murray, J., Slayback, D., Policelli, F., Kirschbaum, D. and Wu, H., 2016. Unlocking the full potential of Earth observation during the 2015 Texas flood disaster. Water Resources Research, 52(5), pp.3288-3293.
Lin, L., Di, L., Yu, E.G., Tang, J., Shrestha, R., Rahman, M.S., Kang, L., Sun, Z., Zhang, C., Hu, L. and Yang, G., 2017, August. Extract flood duration from Dartmouth Flood Observatory flood product. In 2017 6th international conference on agro-geoinformatics (pp. 1-4). IEEE.
Nigro, J., Slayback, D., Policelli, F. and Brakenridge, G.R., 2014. NASA/DFO MODIS near real-time (NRT) global flood mapping product evaluation of flood and permanent water detection. Evaluation, Greenbelt, MD, 27.