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https://github.com/actinia-org/actinia-core

Actinia Core is an open source REST API for scalable, distributed, high performance processing of geographical data that uses mainly GRASS GIS for computational tasks (DOI: https://doi.org/10.5281/zenodo.5879231) | Tutorial: https://actinia-org.github.io/actinia-core/ | Docker: https://hub.docker.com/r/mundialis/actinia-core
https://github.com/actinia-org/actinia-core

actinia earth-observation geospatial geospatial-analysis gis grass-gis hacktoberfest opensource rest-api

Last synced: 3 months ago
JSON representation

Host: GitHub
URL: https://github.com/actinia-org/actinia-core
Owner: actinia-org
License: gpl-3.0
Created: 2018-03-13T14:07:32.000Z (over 6 years ago)
Default Branch: main
Last Pushed: 2024-05-28T22:01:29.000Z (5 months ago)
Last Synced: 2024-05-29T01:50:30.605Z (5 months ago)
Topics: actinia, earth-observation, geospatial, geospatial-analysis, gis, grass-gis, hacktoberfest, opensource, rest-api
Language: Python
Homepage: https://actinia.mundialis.de/
Size: 10.6 MB
Stars: 76
Watchers: 12
Forks: 22
Open Issues: 53
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Contributing: CONTRIBUTING.md
- License: LICENSE.txt
- Citation: CITATION.cff
- Authors: AUTHORS.rst

Awesome Lists containing this project

awesome-earthobservation-code - actinia core - Actinia Core is an open source REST API for scalable, distributed, high performance processing of geographical data that uses mainly GRASS GIS for computational tasks. `Python` (`Python` processing of optical imagery (non deep learning) / Python libraries related to EO)

README

# Actinia — The GRASS GIS REST API

Software [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.5879231.svg)](https://doi.org/10.5281/zenodo.5879231)
Article [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.2631917.svg)](https://doi.org/10.5281/zenodo.2631917)
[![License: GPL v3](https://img.shields.io/badge/License-GPL%20v3-blue.svg)](https://www.gnu.org/licenses/gpl-3.0)
[![Docker pulls](https://img.shields.io/docker/pulls/mundialis/actinia-core.svg)](https://hub.docker.com/r/mundialis/actinia-core)

**[Actinia](https://actinia.mundialis.de/)** is an open source REST API for scalable, distributed, high performance
processing of geographical data that mainly uses [GRASS GIS](https://grass.osgeo.org/) for computational tasks.

It provides a REST API to process satellite images, time series of satellite images,
arbitrary raster data with geographical relations and vector data.

The REST interface allows to access, manage and manipulate the GRASS GIS
database via HTTP GET, PUT, POST and DELETE requests and to process raster, vector and
time series data located in a persistent GRASS GIS database.
**Actinia** allows the processing of cloud-based data, for example all Landsat 4-8 scenes as well as all
Sentinel-2 scenes in ephemeral databases. The computational results of ephemeral processing
are available via object storage as GeoTIFF files.

## API documentation

The full API documentation is available [here](https://redocly.github.io/redoc/?url=https://actinia.mundialis.de/latest/swagger.json&nocors)

## actinia command execution - actinia shell

There is also an option to interactively control actinia. For details,
see [here](https://github.com/actinia-org/ace).

## Installation

Required system packages:

- alpine: `apk add python3 py3-pip`
As not all python packages are pre-build for alpine, they need to be build during installation. For this some system packages are required:
`apk add python3 py3-pip python3-dev gcc musl-dev linux-headers build-base gdal gdal-tools gdal-dev proj proj-util proj-dev geos-dev py3-numpy-dev`
- ubuntu: `apt install -y python3 python3-pip`

And then install from pypi:

```bash
pip install actinia-core
```

## Installation with Docker

Docker images are available from https://hub.docker.com/r/mundialis/actinia-core

```bash
docker pull mundialis/actinia-core
```

For own deployments or local dev-setup, see the `docker/` subfolder.

Actinia is also available on [OSGeoLive](https://live.osgeo.org/en/overview/actinia_overview.html).

## Examples

### Data management

- List all locations that are available in the actinia persistent database:

```bash
curl -u 'demouser:gu3st!pa55w0rd' -X GET "https://actinia.mundialis.de/api/v3/locations"
```

- List all mapsets in the location latlong_wgs84:

```bash
curl -u 'demouser:gu3st!pa55w0rd' -X GET "https://actinia.mundialis.de/api/v3/locations/latlong_wgs84/mapsets"
```

- List all space-time raster datasets (STRDS) in location latlong_wgs84 and mapset Sentinel_timeseries:

```bash
curl -u 'demouser:gu3st!pa55w0rd' -X GET "https://actinia.mundialis.de/api/v3/locations/latlong_wgs84/mapsets/modis_ndvi_global/strds"
```

- List all raster map layers of the STRDS:

```bash
curl -u 'demouser:gu3st!pa55w0rd' -X GET "https://actinia.mundialis.de/api/v3/locations/latlong_wgs84/mapsets/modis_ndvi_global/strds/ndvi_16_5600m/raster_layers"
```

### Landsat and Sentinel-2 NDVI computation

- Compute the NDVI of the top of athmosphere (TOAR) corrected Landsat4 scene LC80440342016259LGN00:

```bash
curl -u 'demouser:gu3st!pa55w0rd' -X POST "https://actinia.mundialis.de/api/v3/landsat_process/LC80440342016259LGN00/TOAR/NDVI"
```

- NDVI computation of Sentinel-2A scene S2A_MSIL1C_20170212T104141_N0204_R008_T31TGJ_20170212T104138:

```bash
curl -u 'demouser:gu3st!pa55w0rd' -X POST "https://actinia.mundialis.de/api/v3/sentinel2_process/ndvi/S2A_MSIL1C_20170212T104141_N0204_R008_T31TGJ_20170212T104138"
```

The results of the asynchronous computations are available as GeoTIFF file in a cloud storage for download.

### List of available endpoints

To see a simple **list of endpoints** (and more), consult the "paths" section in the [API JSON](https://actinia.mundialis.de/api/v3/swagger.json); or, to list the available endpoints on command line, run

```bash
# sudo npm install -g json
curl -u 'demouser:gu3st!pa55w0rd' -X GET https://actinia.mundialis.de/api/v3/swagger.json | json paths | json -ka
```

## Development

### Use pre-commit

It is highly recommended to install and use [pre-commit](https://pre-commit.com)
before submitting any new or modified code or any other content. The pre-commit
Git hooks set checks validity and executes automated formatting for
a range of file formats, including Python. Pre-commit installs
all necessary tools in a virtual environment upon first use.

If you never used pre-commit before, you must start by installing it on your
system. You only do it once:

```bash
python -m pip install pre-commit
```

Pre-commit must then be activated in the code repository. Change the directory
to the root folder and use the `install` command:

```bash
cd

# once per repo
pre-commit install
```

Pre-commit will then be automatically triggered by the `git commit` command. If
it finds any problem it will abort the commit and try to solve it automatically.
In that case review the changes and run again `git add` and
`git commit`.

It is also possible to run pre-commit manually, e.g:

```bash
pre-commit run flake8 --all-files
pre-commit run black --all-files
# pre-commit run yamllint --all-files
# pre-commit run markdownlint --all-files
```

Or to target a specific set of files:

```bash
pre-commit run --files src/*
```

The pre-commit hooks set is defined in
[.pre-commit-config.yaml](.pre-commit-config.yaml).

It is possible to temporally disable the pre-commit hooks in the repo, e.g. while
working on older branches:

```bash
pre-commit uninstall
```

And to reactivate pre-commit again:

```bash
git switch main
pre-commit install
```

## Thanks to all contributors ❤

[![actinia-core contributors](https://contrib.rocks/image?repo=actinia-org/actinia-core "actinia-core contributors")](https://github.com/actinia-org/actinia-core/graphs/contributors)