Huidae Cho

We present r.lfp, a GRASS addon for scalable longest flow path analysis using a memory-efficient algorithm with hybrid loop-then-task parallelism. It enables fast, reproducible hydrologic modeling on large terrains and integrates seamlessly into GRASS workflows.

For any hydrologic studies, it is a crucial step to delineate watersheds to identify study areas. This talk presents the new Memory-Efficient Watershed Delineation (MESHED) OpenMP parallel GIS algorithm for delineating a large number of watersheds.

The GRASS GIS community celebrated two milestones last year: its 40th birthday and a sizable grant from the National Science Foundation (NSF). In this talk, we will present how the evolution of GRASS GIS is supported by this funding.