Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/mapbox/sentinel-tiler
A serverless Sentinel-2 tiles server using AWS Lambda
https://github.com/mapbox/sentinel-tiler
imagery satellite
Last synced: 8 days ago
JSON representation
A serverless Sentinel-2 tiles server using AWS Lambda
- Host: GitHub
- URL: https://github.com/mapbox/sentinel-tiler
- Owner: mapbox
- License: bsd-3-clause
- Archived: true
- Created: 2017-10-04T15:26:32.000Z (about 7 years ago)
- Default Branch: master
- Last Pushed: 2018-08-09T16:28:44.000Z (about 6 years ago)
- Last Synced: 2024-08-01T00:54:10.545Z (3 months ago)
- Topics: imagery, satellite
- Language: JavaScript
- Size: 73.2 KB
- Stars: 62
- Watchers: 107
- Forks: 10
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- awesome-sentinel - **`sentinel-tiler`**
README
# sentinel-tiler
Create a serverless tile server for Amazon's Sentinel-2 Public Dataset based on rasterio python library.
This project is linked to the `landsat-tiler` projected introduced in https://blog.mapbox.com/combining-the-power-of-aws-lambda-and-rasterio-8ffd3648c348
#### Sentinel data on AWS
Since 2016 ESA Sentinel-2 data is hosted on AWS and can be freely accessed.
> Each file is its own object in the sentinel-s2-l1c Amazon S3 bucket. The data are organised into tiles using the Military grid system. The basic data format is the following:
more info: https://aws.amazon.com/public-datasets/sentinel-2/
# Installation
##### Requirement
- AWS Account
- Docker
- node + npm
## Create package
Creating a python lambda package with some C (or Cython) libraries like Rasterio/GDAL has never been an easy task because you have to compile and build it on the same infrastructure where it's going to be used (Amazon linux AMI). Until recently, to create your package you had to launch an EC2 instance using the official Amazon Linux AMI and create your package on it (see [perrygeo blog](http://www.perrygeo.com/running-python-with-compiled-code-on-aws-lambda.html) or [Remotepixel blog](https://remotepixel.ca/blog/landsat8-ndvi-20160212.html)).
But this was before, Late 2016, the AWS team released the Amazon Linux image on docker, so it's now possible to use it `locally` to compile C libraries and create complex lambda package ([see Dockerfile](https://github.com/mapbox/sentinel-tiler/blob/master/Dockerfiles/Simple)).
#### Custom or Simple
Sentinel-2 data are stored in JPEG2000 format. While this has some advantage (mainly file size), this format is not really cloud optimized [ref](https://trac.osgeo.org/gdal/wiki/CloudOptimizedGeoTIFF). JPEG2000 started as a proprietary format but recently there has been a massive work by `University of Louvain` and also `Even Rouault` to develop an open source driver to decode and encode JPEG2000 files.
Quote form `OpenJPEG` [repo](https://github.com/uclouvain/openjpeg)
>OpenJPEG is an open-source JPEG 2000 codec written in C language. It has been developed in order to promote the use of JPEG 2000, a still-image compression standard from the Joint Photographic Experts Group (JPEG). Since April 2015, it is officially recognized by ISO/IEC and ITU-T as a JPEG 2000 Reference Software.
That said, OpenJPEG driver is not yet as fast as the other proprietary Jpeg2000 drivers like ECW, MrSID or Kakadu. In this repo you can have the possibility to create the a custom GDAL install with any of the drivers you have the license for.
Update: Even Rouault has made some major improvements in OpenJPEG 2.3.0 [blog](https://erouault.blogspot.ca/2017/10/optimizing-jpeg2000-decoding.html).
##### Simple (with rasterio wheels (OpenJPEG 2.3.0))
```bash
# Build Amazon linux AMI docker container + Install Python modules + create package
git clone https://github.com/mapbox/sentinel-tiler.git
cd sentinel-tiler/
make wheel
```
```bash
# Deploy
make deploy-wheel
# Or
sls deploy --type wheel
```
##### Custom
1. Edit `./Dockerfiles/Custom`
2. Create the package:
```bash
# Build Amazon linux AMI docker container + Install Python modules + create package
git clone https://github.com/mapbox/sentinel-tiler.git
cd sentinel-tiler/
make custom
```
```bash
# Deploy
make deploy-custom
# Or
sls deploy --type custom
```
Note: to stay under AWS lambda package sizes limits (100Mb zipped file / 250Mb unzipped archive) we need to use some [`tricks`](https://github.com/mapbox/landsat-tiler/blob/e4eebb512f51c55d95607daa483a14d2091fa0a1/Dockerfile#L30).
- remove every packages that are already available natively in AWS Lambda (boto3, botocore ...)
- keep only precompiled python code (`.pyc`) so it lighter and it loads faster
:tada: You should be all set there.
---
# Use it: Sentinel-viewer
#### sentinel-tiler + Mapbox GL + Satellite API
The `viewer/` directory contains a UI example to use with your new Lambda Sentinel tiler endpoint. It combine the power of mapbox-gl and the nice developmentseed [sat-api](https://github.com/sat-utils/sat-api) to create a simple and fast **Sentinel-viewer**.
To be able to run it, edit those [two lines](https://github.com/mapbox/sentinel-tiler/blob/master/viewer/js/app.js#L3-L4) in `viewer/js/app.js`
```js
// viewer/js/app.js
3 mapboxgl.accessToken = '{YOUR-MAPBOX-TOKEN}';
4 const sentinel_tiler_url = "{YOUR-API-GATEWAY-URL}";
```
---
## Workflow
1. One AWS ƛ call to get min/max percent cut value for all the bands and bounds
*Path:* **/sentinel/metdata/{sentinel scene id}**
*Inputs:*
- sceneid: Sentinel scene id (`S2{A|B}_tile_{YYYYMMDD}_{utm_zone}{latitude_band}{grid_square}_{img_number}`)
*Options:*
- pmin: Histogram cut minimum value in percent (default: 2)
- pmax: Histogram cut maximum value in percent (default: 98)
*Output:* (dict)
- bounds: (minX, minY, maxX, maxY) (list)
- sceneid: scene id (string)
- rgbMinMax: Min/Max DN values for the linear rescaling (dict)
*Example:* `/sentinel/metadata/S2A_tile_20161202_16SDG_0?pmin=5&pmax=95`
2. Parallel AWS ƛ calls (one per mercator tile) to retrieve corresponding Sentinel data
*Path:* **/sentinel/tiles/{sentinel scene id}/{z}/{x}/{y}.{ext}**
*Inputs:*
- sceneid: Sentinel scene id (`S2{A|B}_tile_{YYYYMMDD}_{utm_zone}{latitude_band}{grid_square}_{img_number}`)
- x: Mercator tile X index
- y: Mercator tile Y index
- z: Mercator tile ZOOM level
- ext: Image format to return ("jpg" or "png")
*Options:*
- rgb: Bands index for the RGB combination (default: (04, 03, 02))
- histo: `-` delimited rgb histogram min/max (default: 0,16000-0,16000-0,16000 )
- tile: Output image size (default: 256)
*Output:*
- base64 encoded image PNG or JPEG (string)
*Example:*
- `/sentinel/tile/S2A_tile_20161202_16SDG_0/10/262/397.png`
- `/sentinel/tile/S2A_tile_20161202_16SDG_0/10/262/397.png?rgb=04,03,02&histo=100,3000-130,2700-500,4500&tile=512`
---
#### Infos & links
- [rio-tiler](https://github.com/mapbox/rio-tiler) rasterio plugin that process Sentinel data hosted on AWS S3.
- [Introducing the AWS Lambda Tiler](https://hi.stamen.com/stamen-aws-lambda-tiler-blog-post-76fc1138a145)
- Humanitarian OpenStreetMap Team [oam-dynamic-tiler](https://github.com/hotosm/oam-dynamic-tiler)