SALaD (Semi-Automatic Landslide Detection) is a landslide mapping system

Related tags

Image ProcessingSALaD
Overview

SALaD

SALaD (Semi-Automatic Landslide Detection) is a landslide mapping system. SALaD utilizes Object-based Image Analysis and Random Forest to map landslides. It requires optical imagery, a DEM, corner coordinates of a training area, and manually mapped landslides within the training area. The code is built to run primarily on a Linux.

Installation

  1. Install Singularity

User can find thorough instruction for installation of Singularity >=3.0.0 on different operating systems (Linux, Windows or Mac) here: https://sylabs.io/guides/3.0/user-guide/installation.html

  1. Build a Singularity container from Singularity definition file

Singularity definition files can be used as the target when building a container. Assuming user has the definition file called SALaD.def (see below), the container (named ilab-salad.sif) can be built with the command:

$ sudo singularity build ilab-salad.sif SALaD.def

For more details, check:
https://sylabs.io/guides/3.0/user-guide/build_a_container.html

If you don’t have root access on a Linux machine or want to host your container on the cloud, you can build the container on the Remote Builder: https://cloud.sylabs.io/builder

Executing SALaD from a container

singularity run -B < path_to_singularity_container>/ilab-salad.sif python /driver.py -i "image.tif" -d "srtm.tif" -l "manual_landslide.shp" -lx 308335 -ly 3114295 -rx 312440 -ry 3109225 -rmi 2 -rma 32 -s 2 -p " " -op " " -r "landslide_SALaD.shp"

Example definition file (SALaD.def)

Bootstrap: docker
FROM: nvidia/cuda:10.1-cudnn7-devel-ubuntu18.04


%labels
    Author Remi Cresson 
   
    
    Version v1.0.0


%help
========================================================================
        - Orfeo Toolbox (without Tensor Flow)
========================================================================


%environment
    # ------------------------------------------------------------------
    # Add important environment variables
    # ------------------------------------------------------------------
    export PATH="$PATH:/work/otb/superbuild_install/bin/"
    export PYTHONPATH="/work/otb/superbuild_install/lib/otb/python:$PYTHONPATH"
    export OTB_APPLICATION_PATH="/work/otb/superbuild_install/lib/otb/applications"
    export LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/work/otb/superbuild_install/lib/:/work/tf/installdir/lib/"
    # set PYTHONPATH for access to OTB application
    export PYTHONPATH="/usr/local/otb/src/innovation-lab:$PYTHONPATH"


%post
apt-get update -y \
 && apt-get upgrade -y \
 && apt-get install -y --no-install-recommends \
        git


    # retrieve OTB source from git repository and open permissions
    mkdir -p /usr/local/otb
    git clone --single-branch --branch otb-container https://github.com/nasa-nccs-hpda/innovation-lab.git /usr/local/otb
    chmod a+rwx -R /usr/local/otb


apt-get update -y \
 && apt-get upgrade -y \
 && apt-get install -y --no-install-recommends \
        sudo \
        ca-certificates \
        curl \
        make \
        cmake \
        g++ \
        gcc \
        git \
        libtool \
        swig \
        xvfb \
        wget \
        autoconf \
        automake \
        pkg-config \
        zip \
        zlib1g-dev \
        unzip \
 && rm -rf /var/lib/apt/lists/*


# ---------------------------------------------------------------------------
# OTB and TensorFlow dependencies
# ---------------------------------------------------------------------------
apt-get update -y \
 && apt-get upgrade -y \
 && apt-get install -y --no-install-recommends \
        freeglut3-dev \
        libboost-date-time-dev \
        libboost-filesystem-dev \
        libboost-graph-dev \
        libboost-program-options-dev \
        libboost-system-dev \
        libboost-thread-dev \
        libcurl4-gnutls-dev \
        libexpat1-dev \
        libfftw3-dev \
        libgdal-dev \
        libgeotiff-dev \
        libglew-dev \
        libglfw3-dev \
        libgsl-dev \
        libinsighttoolkit4-dev \
        libkml-dev \
        libmuparser-dev \
        libmuparserx-dev \
        libopencv-core-dev \
        libopencv-ml-dev \
        libopenthreads-dev \
        libossim-dev \
        libpng-dev \
        libqt5opengl5-dev \
        libqwt-qt5-dev \
        libsvm-dev \
        libtinyxml-dev \
        qtbase5-dev \
        qttools5-dev \
        default-jdk \
        python3-pip \
        python3.6-dev \
        python3.6-gdal \
        python3-setuptools \
        libxmu-dev \
        libxi-dev \
        qttools5-dev-tools \
        bison \
        software-properties-common \
        dirmngr \
        apt-transport-https \
        lsb-release \
        gdal-bin \
 && rm -rf /var/lib/apt/lists/*


# ---------------------------------------------------------------------------
# Python packages
# ---------------------------------------------------------------------------
ln -s /usr/bin/python3 /usr/bin/python \
 && python3 -m pip install --upgrade pip \
 && python3 -m pip install pip six numpy wheel mock keras future


# ---------------------------------------------------------------------------
# Build OTB: Stage 1 (clone)
# ---------------------------------------------------------------------------
mkdir -p /work/otb \
 && cd /work/otb \
 && git clone https://gitlab.orfeo-toolbox.org/orfeotoolbox/otb.git otb \
 && cd otb \
 && git checkout release-7.0


# ---------------------------------------------------------------------------
# Build OTB: Stage 2 (superbuild)
# ---------------------------------------------------------------------------
mkdir -p /work/otb/build \
 && cd /work/otb/build \
 && cmake /work/otb/otb/SuperBuild \
        -DUSE_SYSTEM_BOOST=ON \
        -DUSE_SYSTEM_CURL=ON \
        -DUSE_SYSTEM_EXPAT=ON \
        -DUSE_SYSTEM_FFTW=ON \
        -DUSE_SYSTEM_FREETYPE=ON \
        -DUSE_SYSTEM_GDAL=ON \
        -DUSE_SYSTEM_GEOS=ON \
        -DUSE_SYSTEM_GEOTIFF=ON \
        -DUSE_SYSTEM_GLEW=ON \
        -DUSE_SYSTEM_GLFW=ON \
        -DUSE_SYSTEM_GLUT=ON \
        -DUSE_SYSTEM_GSL=ON \
        -DUSE_SYSTEM_ITK=ON \
        -DUSE_SYSTEM_LIBKML=ON \
        -DUSE_SYSTEM_LIBSVM=ON \
        -DUSE_SYSTEM_MUPARSER=ON \
        -DUSE_SYSTEM_MUPARSERX=ON \
        -DUSE_SYSTEM_OPENCV=ON \
        -DUSE_SYSTEM_OPENTHREADS=ON \
        -DUSE_SYSTEM_OSSIM=ON \
        -DUSE_SYSTEM_PNG=ON \
        -DUSE_SYSTEM_QT5=ON \
        -DUSE_SYSTEM_QWT=ON \
        -DUSE_SYSTEM_TINYXML=ON \
        -DUSE_SYSTEM_ZLIB=ON \
        -DUSE_SYSTEM_SWIG=OFF \
        -DOTB_WRAP_PYTHON=OFF \
 && make -j $(grep -c ^processor /proc/cpuinfo)


# ---------------------------------------------------------------------------
# Build OTB: Stage 3 (bindings)
# ---------------------------------------------------------------------------
cd /work/otb/otb/Modules/Remote \
 && git clone https://github.com/remicres/otbtf.git \
 && cd /work/otb/build/OTB/build \
 && cmake /work/otb/otb \
        -DOTB_WRAP_PYTHON=ON \
        -DPYTHON_EXECUTABLE=/usr/bin/python3.6 \
        -Dopencv_INCLUDE_DIR=/usr/include \
        -DModule_OTBTensorflow=ON \
        -DOTB_USE_TENSORFLOW=OFF \
        -DTENSORFLOW_CC_LIB=/work/tf/installdir/lib/libtensorflow_cc.so \
        -DTENSORFLOW_FRAMEWORK_LIB=/work/tf/installdir/lib/libtensorflow_framework.so \
        -Dtensorflow_include_dir=/work/tf/installdir/include/ \
 && cd /work/otb/build/ \
 && make -j $(grep -c ^processor /proc/cpuinfo)




# ---------------------------------------------------------------------------
# Install Packages and Retrieve Source Code
# ---------------------------------------------------------------------------
    pip3 install --upgrade richdem==0.3.4
    pip3 install --upgrade fiona==1.8.13
    pip3 install --upgrade geopandas==0.7.0
    pip3 install --upgrade numba==0.49.1
    pip3 install --upgrade pandas==1.0.3
    pip3 install --upgrade peakutils==1.3.3
    pip3 install --upgrade rasterstats==0.14.0
    pip3 install --upgrade scikit-learn==0.21.3


# Below added 7/15/21


     sudo apt-get update
     sudo apt-get install -y libspatialindex-dev


     pip3 install Pysal==1.14.4 
     pip3 install rtree==0.8.3 

   
Owner
NASA
Read about NASA's Open Data initiative here: https://www.nasa.gov/open/ & Members Find Instructions here: http://nasa.github.io/
NASA
👷 Build images with images

👷 Build images with images. About Tiler is a tool to create an image using all kinds of other smaller images (tiles). It is different from other mosa

5.5k Jan 03, 2023
Converting Images Into Minecraft Houses

Converting Images Into Minecraft Houses In this particular project, we turned a 2D Image into Minecraft pixel art and then scaled it in 3D such that i

Mathias Oliver Valdbjørn Jørgensen 1 Feb 02, 2022
Scramb.py is a region based JPEG Image Scrambler and Descrambler written in Python

Scramb.py Scramb.py is a region based JPEG Image Scrambler and Descrambler written in Python. Main features Scramb.py can scramble images regions. So

47 Dec 25, 2022
Fix datetime EXIF data in photos downloaded from Google Takeout

fix-google-takeout Warning Use at your own risk. Backup your photos. Overview Google takeout for photos

Mayank Mandava 20 Nov 05, 2022
Tool made for the FWA Yearbook Team to resize multiple images quickly.

ImageResize Tool Tool made for the FWA Yearbook Team to resize multiple images quickly. Make sure to check this repo for future updates How to Use The

LGobin 1 Jan 07, 2022
Napari simpleitk image processing

napari-simpleitk-image-processing (n-SimpleITK) Process images using SimpleITK in napari Usage Filters of this napari plugin can be found in the Tools

Robert Haase 11 Dec 19, 2022
Python library for ascii graphics

Python library for ascii graphics

Anton 6 Oct 20, 2021
HtmlWebShot - A python3 package which Can Create Images From url, Html-CSS, Svg and from any readable file and texts with many setup features.

A python3 package which Can Create Images From url, Html-CSS, Svg and from any readable file and texts with many setup features

Danish 24 Dec 14, 2022
Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.

img2dataset Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine. Also supports

Romain Beaumont 1.4k Jan 01, 2023
Computational Xmas Tree lights!

Computational Xmas Tree This repo contains the code for the computational illumination of a Christmas Tree! It is based on the work by Matt Parker fro

GSD6338 146 Dec 23, 2022
Clip Bing Maps backgound as RGB geotif image using center-point from vector data of a shapefile and Bing Maps zoom

Clip Bing Maps backgound as RGB geotif image using center-point from vector data of a shapefile and Bing Maps zoom. Also, rasterize shapefile vectors as corresponding label image.

Gounari Olympia 2 Nov 22, 2021
Program for analyzing shadows from Cassini images

Moons: An Analysis Module for Vicar Files General This packages/program was created for my bachelor's thesis for the Astronomy department at Universit

Joni 1 Jul 16, 2021
Dynamic image server for web and print

Quru Image Server - dynamic imaging for web and print QIS is a high performance web server for creating and delivering dynamic images. It is ideal for

Quru 84 Jan 03, 2023
【萝莉图片算法】高损图像压缩算法!?

【萝莉图片算法】高损图像压缩算法!? 我又发明出新算法了! 这次我发明的是新型高损图像压缩算法——萝莉图片算法!为什么是萝莉图片,这是因为它是使动用法,让图片变小所以是萝莉图片,大家一定要学好语文哦! 压缩效果 太神奇了!压缩率竟然高达99.97%! 与常见压缩算法对比 在图片最终大小为1KB的情况

黄巍 49 Oct 17, 2022
Bringing vtk.js into Dash and Python

Dash VTK Dash VTK lets you integrate the vtk.js visualization pipeline directly into your Dash app. It is powered by react-vtk-js. Docs Demo Explorer

Plotly 88 Nov 29, 2022
This tool allows the user to convert a 16 by 16 image into a list with numbers representing an object/character.

Room Formatter This tool allows the user to convert a 16 by 16 image into a list with numbers representing an object/character. There is cur

Thomas Landstra 1 Nov 13, 2021
A QR Code encode and decode python module

A QR Code encode and decode python module

Fayas Noushad 4 Feb 10, 2022
thumbor is an open-source photo thumbnail service by globo.com

Survey If you use thumbor, please take 1 minute and answer this survey? It's only 2 questions and one is multiple choice!!! thumbor is a smart imaging

Thumbor (by @globocom) 9.3k Dec 31, 2022
Python implementation of image filters (such as brightness, contrast, saturation, etc.)

PyPhotoshop Python implementation of image filters Use Python to adjust brightness and contrast, add blur, and detect edges! Follow along tutorial: ht

Kylie 87 Dec 15, 2022
Fuzzware is a project for automated, self-configuring fuzzing of firmware images

Fuzzware Fuzzware is a project for automated, self-configuring fuzzing of firmware images. The idea of this project is to configure the memory ranges

190 Dec 21, 2022