Skip to content

Commit

Permalink
Update README
Browse files Browse the repository at this point in the history
Update README.md
  • Loading branch information
PondiB authored Jul 25, 2023
2 parents ac0b108 + 62e66da commit 0b2dfdc
Showing 1 changed file with 3 additions and 3 deletions.
6 changes: 3 additions & 3 deletions README.md
Original file line number Diff line number Diff line change
@@ -1,7 +1,7 @@

# openeocubes : OpenEO Compliant Lightweight R Platform for Processing Time Series Satellite Images
# OpenEOcubes: OpenEO Compliant Lightweight R Platform for Processing Time Series Satellite Images

The service integrates STAC API, OpenEO standards and gdalcubes to be a lightweight platform to enable analysis of time series satellite images via OpenEO Compliant RESTful endpoints using R-Client . It also supports users to run their custom R functions.
The service integrates STAC API, OpenEO standards, and gdalcubes to be a lightweight platform to enable analysis of time series satellite images via OpenEO Compliant RESTful endpoints using R-Client. It also supports users to run their custom R functions.

#### Motivation for the platform:
The service tries to improve on the limitations of established EO data management platforms like Google Earth Engine and Sentinel Hub by supporting:
Expand All @@ -24,7 +24,7 @@ You can get a hosted Docker image of the platform on DockerHub
https://hub.docker.com/r/brianpondi/openeocubes

### Running the container
It is highly recommended to deploy the service on an AWS EC2 machine that is in us-west-2 region (Oregon) as that is data centre where the Earth Observation(EO) datasets found in AWS STAC search are stored. This enables processing of EO data from the source so that the network latency between the platform and data is as low as possible hence cheaper. You can expose port 8000 of the EC2 instance to deploy and communicate with the service.
It is highly recommended to deploy the service on an AWS EC2 machine that is in us-west-2 region (Oregon) as that is the data centre where the Earth Observation(EO) datasets found in AWS STAC search are stored. This enables the processing of EO data from the source so that the network latency between the platform and data is as low as possible hence cheaper. You can expose port 8000 of the EC2 instance to deploy and communicate with the service.
```bash
docker run -p 8000:8000 --env AWSHOST=<AWS-IPv4-ADDRESS> brianpondi/openeocubes
```
Expand Down

0 comments on commit 0b2dfdc

Please sign in to comment.