Tools and Data
In addition to these specific links, please check our github page where we are migrating and maintaining our software.
GeoNet Automatic tool for channel network extraction from high resolution topography
GeoFlood Automatic tool for flood inundation mapping that combines GeoNet and HAND (link to GitHub repository. More training material and input data here - download size: ~270 MB).
RivaMap Automated River Analysis and Mapping Engine from remotely sensed images
Channelized Response Variance Tool for computing variance through time from time series imagery from RivaMap outputs (or any similar output)
DeepWaterMap Surface Water Mapping by Deep Learning
DeepRiver River Network Extraction by Deep Convolutional Neural Networks
Jarriel, T., J.M. Swartz, P. Passalacqua (2021), Global rates and patterns of channel migration in river deltas, Proceedings of the National Academy of Sciences, 118 (46) e2103178118, https://doi.org/10.1073/pnas.2103178118. Press release; Data
Liang, M., C. Van Dyk, P. Passalacqua (2016), Quantifying the Patterns and Dynamics of River Deltas Under Conditions of Steady Forcing and Relative Sea-Level Rise, Journal of Geophysical Research Earth Surface, 121, 2, 465-496, doi:10.1002/2015JF003653. Data.
Sangireddy, H., R. A. Carothers, C.P. Stark, P. Passalacqua (2016), Controls of climate, topography, vegetation, and lithology on drainage density extracted from high resolution topography data, Journal of Hydrology, 537, 271-282, doi:10.1016/j.jhydrol.2016.02.051. Data.
Sendrowski, A. and P. Passalacqua (2017), Process connectivity in a naturally prograding river delta, Water Resources Research, 53, doi:10.1002/2016WR019768. Data.
Sangireddy, H., C.P. Stark, P. Passalacqua (2017), Multi-resolution analysis of characteristic length scales with high-resolution topography data, Journal of Geophysical Research Earth Surface, in press, doi:10.1002/2015JF003788. Data.