RiverREM

REM generator

Automatically generates high-resolution river relative elevation models from digital elevation models.

Make river relative elevation models (REM) and REM visualizations from an input digital elevation model (DEM).

GitHub

138 stars
9 watching
23 forks
Language: Python
last commit: over 2 years ago
Linked from 1 awesome list

digital-elevation-modellidarvisualization

Backlinks from these awesome lists:

Related projects:

Repository Description Stars
r-barnes/richdem Software for analyzing digital elevation models and hydrological features in large-scale datasets using high-performance algorithms. 271
bopen/elevation A Python script to download and process global terrain digital elevation models 290
opengeos/lidar A Python package for analyzing digital elevation models to identify and delineate surface depressions 249
weiji14/deepbedmap A system for generating high-resolution digital elevation models of Antarctica using deep neural networks and a flat file data repository 43
glaciohack/xdem Analyzes digital elevation models with robust and modular tools 145
noaa-owp/ras2fim Automates flood inundation mapping from HEC-RAS models to support real-time and predictive floodplain mapping. 51
labsid-usp/rubem A distributed hydrological model that simulates rainfall runoff and balance in water cycles 7
deltares/hydromt Automates spatial geoscientific model building and analysis from raw data 74
mprakhar/dsm2dtm Converts satellite images into digital surface models with building height extraction 15
isikdogan/rivamap Analyzes and maps river networks from remote sensing data using automated techniques. 71
geocryology/globsim Automates downloading and processing of global reanalyses to generate meteorological time series 19
mdbartos/pysheds A Python library for watershed delineation from digital elevation models. 722
tum-ens/pygreta Generates high-resolution potential maps and time series for renewable energy sources 40
servir-mekong/hydra-floods A Python package for analyzing remote sensing data to produce high-quality surface water maps in near real-time. 165
nrcan/ricorde Software that generates gridded water depth estimates from flood inundation data using machine learning and algorithms. 3