monisenforest-docker

Data summarization and visualization tool for permanent forest plot observations (tree census and litterfall survey) of the Monitoring Sites 1000.

Features

• FastAPI with Python 3
• Vue.js with vuetify, router, vuex
• Postgres
• SqlAlchemy with Alembic for migrations
• Traefik for reverse proxy

Getting Started

Docker and docker-compose are required.

Clone the repository:

git clone https://github.com/kohyamat/monisenforest-docker
cd monisenforest-docker

Build and run the app with docker-compose:

docker-compose up -d --build

Run the alembic migrations:

docker-compose run --rm backend alembic upgrade head

Enter http://localhost/ in a browser to see the application running.

About Monitoring Sites 1000

The Monitoring Sites 1000, also called 'moni1000' or 'moni-sen', is a nationwide ecosystem monitoring project in Japan led by the Ministry of the Environment. The monitoring covers a wide range of ecosystems, including alpine areas, forests, grasslands, satoyama, lakes, marshes, coastal areas, coral reefs, and small islands. Since the launch of the project in 2003, a massive amount of observation data has been accumulated with the cooperation of researchers and citizens. Permanent forest plot observations have been conducted as part of the Forests & Grasslands Survey of the project.

Datasets of the Monitoring Sites 1000

The data collected by the Monitoring Sites 1000 project is publicly available and can be be found here. Tree census data and litterfall monitoring data can be obtained from the following:

• Tree census data from 61 forest plots (ca. 1 ha each) in 49 sites in Japan (Ishihara et al. 2011, Ecol. Res.).
• Litterfall and seedfall monitoring data from 21 forest plots in 20 sites in Japan (Suzuki et al. 2012, Ecol. Res.).

Screenshot