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abdise

Agent-Based Disaster Simulation Environment (ABDiSE) is a framework that provides model elements and tools to support modeling and simulation of common types of natural disasters, including fires, floods and debris flows.

baidunetdiskplugin-macos

For macOS.百度网盘 破解SVIP、下载速度限制~

che

There is nothing.

d-claw

D-Claw extension of GeoClaw for solving two-phase model for landslides and debris flows.

debris-flow-managment

debris-flow-velocity-

debris-flow-velocity-data

This is the input data of the article named "Predicting Debris Flow Velocity by Machine Learning Algorithms"

debris_flow

Add debris flow to inflow

debrisflow

debrisflow-1

deciphering_debris-flow_seismograms

defcon2

Debris flow simulation

group_h_-project-4-

Debris Flow management

haa-flowaller-debris-sims

hackxfdu-crisisprobinguav

An Unmanned Aerial Vehicle based on DJI Phantom 4, incorporating Clarifai Computer Vision API which can detect natural crisis such as forest fires and debris flows in rural areas.

hackxfdu-crisisprobinguav-1

An Unmanned Aerial Vehicle based on DJI Phantom 4, incorporating Clarifai Computer Vision API which can detect natural crisis such as forest fires and debris flows in rural areas.

land-se

LANDslide Susceptibility Evaluation

landslide-susceptibility

Landslide susceptibility mapping by deep learning and slope unit

landslide-susceptibility-assessment-tool

landslide susceptibility assessment tool including 10 python script for ArcGIS software.

landslides-post-wildfire-debris-flow

A web application that displays estimates for the probability and volume of debris flows that may be produced by a storm in a recently burned area

landslides-thresholds

Thresh – Software for Tracking Rainfall Thresholds for Landslide and Debris Flow Occurrence (A collection of Fortran programs, Python scripts, shell scripts and Windows batch files along with sample data)

matlab-deep-learning-toolbox-cnn-water-image-recognition

基于matlab深度学习工具箱来设计卷积神经网络用来对图像上的水体部分进行识别，并生成水体陆地二值化图像。采用的是9层卷积神经网络用来对图像进行特征提取和分类，水体识别的准确率可以达到96%以上。

matlab_smote

Simple implementation of SMOTE algorithm in MATLAB

nm_postfiredebrisflow

Implementing post-fire debris flow models with simulated fire data to enable pre-fire mitigation of debris flow hazards.

oc_svm

One-Class SVM implementations for temporal segmentation of human activities

procedura-df

Procedura per identificazione potenziali punti di innesco di DF a scala regionale e per il calcolo del potenziale di runout

r.landslide

r.landslide is a free and open source add-on to the open source Geographic Information System (GIS) GRASS software for the mapping of landslide susceptiblity. The tool was developed in Python language and works on the basis of Artificial Neural Networks (ANNs) fed with environmental parameters and landslide databases. The module can be used by natural disaster management bodies and land use planning organs as a support tool for the elaboration of landslide susceptibility maps in an agile and efficient manner.

read-me

This is the debris flow velocity data using in the paper named "Application and Comparison of Machine Learning Algorithms to Predict Debris Flow Velocity".

simlar

Simulasi Lahar - Debris Flow Modelling

snap-desktop

Desktop GUI for SNAP based on NetBeans Platform