dreyerlivio

dreyerlivio's Stars

• giactitti/scriptsQGIS3

  Language:Python1

• ashokdahal/MLgeoscience

  Teaching material for ML in Geoscience course

  Language:Jupyter Notebook21

• kushanavbhuyan/HR-GLDD-A-Global-Landslide-Mapping-Data-Repository

  Language:Jupyter Notebook88

• thopitz/landslides-point-process

  Landslide prediction based on point process models estimated in a Bayesian framework. Please check the "release" section for code and data.

  Language:R22

• BryceErin/ULHAdominica

  Unified Landslide Hazard Assessment Dominica

  Language:R11

• mmorenoz/GAM_LandslideSize

  Modeling the size of co-seismic landslides via data-driven models: the Kaikōura's example

  Language:R11

• EnGeoModels/fslam_plugin

  QGIS plugin created as a preprocessor of the fslam code.

  Language:Python104

• bmda-unibas/ErosionSegmentation

  TensorFlow implementation of a U-Net for erosion site segmentation.

  Language:Python32

• r-barnes/richdem

  High-performance Terrain and Hydrology Analysis

  Language:C++26968

• Envirometrix/landmap

  Landmap package for R

  Language:R4713

• yildizanil/frontiers_yildizetal

  Language:Jupyter Notebook11

• CNR-IRPI-Padova/SZ

  Susceptibility Zoning plugin

  Language:Python99

• BC-Consulting/bccscbar

  Generates a colour scale bar image file from a one-band raster file or from its qml file. The generated image can be used in the Composer as the colour scale bar for that raster.

  Language:Python3

• scumechanics/Landslide-Susceptibility-Prediction-Using-Machine-Learning-Algorithms

  Landslide Susceptibility Prediction and Identification of Most Significant Factors that best describe an area is susceptible to Landslides or not based on Explainable Artificial Intelligence to solve the challenging BlackBox problem of state art Artificial Intelligence based methods.

  144

• gantian127/landslide_usecase

  Jupyter Notebook to demonstrate how to use the CSDMS data components to calculate landslide susceptibility for a study area in Puerto Rico

  Language:Jupyter Notebook44

• srikrishnan-ss/aschpeired

  Numerical model to simulate extreme-precipitation-induced debris flows

  Language:AMPL1

• mmorenoz/gams-in-r-course

  Generalized Additive Models in R: A Free Interactive Course

  1

• mmorenoz/Awesome-CV

  :page_facing_up: Awesome CV is LaTeX template for your outstanding job application

  1

• zincoblenda/CryoS

  Language:Jupyter Notebook2

• giscience-fsu/daad_summerschool

  Lectures & scripts for the international summer school on geospatial data science with R

  Language:HTML52

• mmorenoz/pyGAM

  [HELP REQUESTED] Generalized Additive Models in Python

  1

• admitchell/PRE-RA

  Code and data for the Probabilistic Runout Estimation - Rock Avalanche program

  Language:R22

• peterhob/ENVLIB_CodingRoom

  Language:Jupyter Notebook11

• Riverscapes/gcd

  Geomorphic Change Detection For Windows

  Language:C#255

• PWRI-volcano-debrisflow-team/DFSS

  Language:Fortran1

• AlisterH/QGISflowEstimator

  Open Channel Flow Estimator QGIS Plugin

  Language:Python2

• jngtz/runoptGPP

  An R package for optimizing mass movement runout models

  Language:R21

• gerzsd/frmod

  A tool for the frequency (or likelihood) ratio analysis of raster grids. Can be used for estimating landslide susceptibility.

  Language:Jupyter Notebook82

• dlab-berkeley/Python-Data-Visualization-Legacy

  D-Lab's 3 hour introduction to data visualization with Python. Learn how to create histograms, bar plots, box plots, scatter plots, compound figures, and more, using matplotlib and seaborn.

  Language:Jupyter Notebook5643

• casadoj/Clases

  Ejercicios de la asignatura "Hidrología" del Master en Gestión Ingegral de Sistemas Hídricos de la Universidad de Cantabria

  Language:Jupyter Notebook1524