thom03 / geoengine

Geoengine

(GeoEngine)EO Data Exploitation and Visualization Tool is a web based application developed with a goal of providing new working techniques that ease data collection, access, analysis and visualization. Collection of large EO datasets and analysis of the data using the random forest algorithm is done on one front-end interface. The proposed tool also integrates with Geoserver as a backend. EO Data Exploitation and Visualization Tool is a climate change analysisTool that utilizes pre-processed imagery to discover actionable insights. Climate change has greatly affected many countries across the globe and poses a big challenge in terms of strategic planning and sound decision-making processes. The solution will provide new working techniques that ease data collection, access, analysis and visualization. This will play a key role in analyzing satellite data and presenting the results to key stakeholders. EO Data Exploitation and Visualization Tool will consume Landsat-8 data and training areas shape files which will be used for the classification process. The proposed too will be used to analyze earth observation data of 30 m spatial resolution and a temporal resolution of 16 days. Data will loaded to the application using robust geoserver rest api endpoints that allow creating of workspaces, authentication and serving of both classified and unclassified images. Access to the classification tool will be available on the front-end ( using a very user-friendly interface) but, the process will run in the background. The analysis will produce classified Land Cover imagery which will be saved for current and future reference. Resolution of the outputs will also have a spatial resolution of 30m

Create a custom project

Note: You can call your geonode project whatever you like following the naming conventions for python packages (generally lower case with underscores (_). In the examples below, replace my_geonode with whatever you would like to name your project.

Using a Python virtual environment

To setup your project using a local python virtual environment, follow these instructions:

1. Prepare the Environment

git clone https://github.com/GeoNode/geonode-project.git -b 2.10.x
mkvirtualenv my_geonode
pip install Django==1.11.21

django-admin startproject --template=./geonode-project -e py,rst,json,yml,ini,env,sample -n Dockerfile my_geonode

cd my_geonode

2. Setup the Python Dependencies

pip install -r requirements.txt --upgrade
pip install -e . --upgrade

GDAL_VERSION=`gdal-config --version`
PYGDAL_VERSION="$(pip install pygdal==$GDAL_VERSION 2>&1 | grep -oP '(?<=: )(.*)(?=\))' | grep -oh $GDAL_VERSION\.[0-9])"
pip install pygdal==$PYGDAL_VERSION

# Using Default Settings
DJANGO_SETTINGS_MODULE=my_geonode.settings paver reset
DJANGO_SETTINGS_MODULE=my_geonode.settings paver setup
DJANGO_SETTINGS_MODULE=my_geonode.settings paver sync
DJANGO_SETTINGS_MODULE=my_geonode.settings paver start

# Using Custom Local Settings
cp my_geonode/local_settings.py.sample my_geonode/local_settings.py

vim my_geonode/wsgi.py
--> os.environ.setdefault("DJANGO_SETTINGS_MODULE", "my_geonode.local_settings")

DJANGO_SETTINGS_MODULE=my_geonode.local_settings paver reset
DJANGO_SETTINGS_MODULE=my_geonode.local_settings paver setup
DJANGO_SETTINGS_MODULE=my_geonode.local_settings paver sync
DJANGO_SETTINGS_MODULE=my_geonode.local_settings paver start

3. Access GeoEngine from browser:

   http://localhost:8000/
   

Note

default admin user is admin (with pw: admin)

Start your server

You need Docker 1.12 or higher, get the latest stable official release for your platform.

1. Prepare the Environment

git clone https://github.com/GeoNode/geonode-project.git -b 2.10.x
mkvirtualenv my_geonode
pip install Django==1.11.21

django-admin startproject --template=./geonode-project -e py,rst,json,yml,ini,env,sample -n Dockerfile my_geonode

cd my_geonode

Recommended: Track your changes

Step 1. Install Git (for Linux, Mac or Windows).

Step 2. Init git locally and do the first commit:

git init

git add *

git commit -m "Initial Commit"

Step 3. Set up a free account on github or bitbucket and make a copy of the repo there.

Hints: Configuring Requirements.txt

You may want to configure your requirements.txt, if you are using additional or custom versions of python packages. For example:

Django==1.11.21
six==1.10.0
django-cuser==2017.3.16
django-model-utils==3.1.1
pyshp==1.2.12
celery==4.1.0
Shapely>=1.5.13,<1.6.dev0
proj==0.1.0
pyproj==1.9.5.1
pygdal==2.2.1.3
inflection==0.3.1
git+git://github.com/<your organization>/geonode.git@<your branch>

Hints: Using Ansible

You will need to use Ansible Role in order to run the playbook.

In order to install and setup Ansible, run the following commands:

sudo apt-get install software-properties-common
sudo apt-add-repository ppa:ansible/ansible
sudo apt-get update
sudo apt-get install ansible

A sample Ansible Role can be found at https://github.com/GeoNode/ansible-geonode

To install the default one, run:

sudo ansible-galaxy install GeoNode.geonode

you will find the Ansible files into the ~/.ansible/roles folder. Those must be updated in order to match the GeoNode and GeoServer versions you will need to install.

To run the Ansible playbook use something like this:

ANSIBLE_ROLES_PATH=~.ansible/roles ansible-playbook -e "gs_root_password=<new gs root password>" -e "gs_admin_password=<new gs admin password>" -e "dj_superuser_password=<new django admin password>" -i inventory --limit all playbook.yml

Configuration