Awesome

cogeo-tiler

This project is a fork of https://github.com/vincentsarago/lambda-tiler

AWS Lambda + rio-tiler to serve tiles from any web hosted files

cogeo-tiler is a simple serverless (AWS Lambda function) application that serves Map Tiles dynamically created from COGs hosted remotely (s3, http, ...)

Deploy

Requirement

• AWS Account
• Docker (+ docker-compose)
• node + npm (serverless)

Create the package

# Build Amazon linux AMI docker container + Install Python modules + create package
$ git clone https://github.com/developmentseed/cogeo-tiler.git
$ cd cogeo-tiler && make package

Deploy to AWS

To ease deployment (and to make package lighter) we are using lambgeo/geo-layer AWS Layer. The layer might not be available in all the region but you can deploy you own by following this steps

#configure serverless (https://serverless.com/framework/docs/providers/aws/guide/credentials/)
npm install
sls deploy

API

Swagger documentation: https://cog.cogeo.xyz/docs

TileJSON (2.1.0)

/tilejson.json - GET

Inputs:

• url (required): mosaic definition url
• tile_format (optional, str): output tile format (default: "png")
• kwargs (in querytring): Other querystring parameters will be forwarded to the tile url

Outputs:

• tileJSON (application/json)

$ curl https://{endpoint-url}/tilejson.json?url=https://any-file.on/the-internet.tif

{
    "bounds": [...],      
    "center": [..., ..., 18], 
    "minzoom": 18,        
    "maxzoom": 22,        
    "name": "the-internet.tif",
    "tilejson": "2.1.0",  
    "tiles": [...] ,      
}

Bounds

Inputs:

• url (required): mosaic definition url

Outputs:

• metadata (application/json)

$ curl https://{endpoint-url}/bounds?url=https://any-file.on/the-internet.tif

{
  "url": "https://any-file.on/the-internet.tif", 
  "bounds": [...]
}

Metadata

/metadata - GET

Inputs:

• url (required, str): dataset url
• pmin (optional, str): min percentile (default: 2).
• pmax (optional, str): max percentile (default: 98).
• nodata (optional, str): Custom nodata value if not preset in dataset.
• indexes (optional, str): dataset band indexes
• max_size (optional, str): Maximum size of dataset to retrieve for overview level automatic calculation
• histogram_bins (optional, str, default:20): number of equal-width histogram bins
• histogram_range (optional, str): histogram min/max

Outputs:

• metadata (application/json)

$ curl https://{endpoint-url}/metadata?url=s3://url=https://any-file.on/the-internet.tif

{
    "address": "s3://myfile.tif",
    "band_descriptions": [(1, "red"), (2, "green"), (3, "blue"), (4, "nir")],
    "statistics": {
        "1": {
            "pc": [38, 147],
            "min": 20,
            "max": 180,
            "std": 28.123562304138662,
            "histogram": [
                [...],
                [...]
            ]
        },
        ...
    }
}

Tiles

/{z}/{x}/{y} - GET

/{z}/{x}/{y}.{ext} - GET

/{z}/{x}/{y}@{scale}x - GET

/{z}/{x}/{y}@{scale}x.{ext} - GET

Inputs:

• z: Mercator tile zoom value
• x: Mercator tile x value
• y: Mercator tile y value
• ext: image format (e.g jpg)
• scale (optional, int): tile scale (default: 1)
• url (required, str): dataset url
• indexes (optional, str): dataset band indexes (default: dataset indexes)
• expr (optional, str): dataset expression
• nodata (optional, str): Custom nodata value if not preset in dataset (default: None)
• rescale (optional, str): min/max for data rescaling (default: None)
• color_formula (optional, str): rio-color formula (default: None)
• color_map (optional, str): rio-tiler colormap (default: None)

Outputs:

• image body (image/jpeg)

$ curl {your-endpoint}/7/10/10.png?url=https://any-file.on/the-internet.tif

Note:

• expr and indexes cannot be passed used together
• if no ext passed, lambda-tiler will choose the best format (jpg or png) depending on mask (use png for tile with nodata)

Docs

/docs - GET