Vincent Sarago vincentsarago

Test

GeoTIFF: https://s3-us-west-2.amazonaws.com/remotepixel-pub/data/Int16_nodata9999.tif

$ docker run --name dockerimage -p 8000:8000 --volume $(pwd)/:/local --rm -it lambci/lambda:build-python3.6 bash

$ yum install wget

Let's see how much it will cost to translate all the Sentinel-2 JPEG2000 to COGs using AWS Lambda https://github.com/developmentseed/sentinel-2-cog (Note at this scale AWS Lambda might not be the cheapest option).

How many S2 scenes do we have on AWS?

$ curl https://sat-api.developmentseed.org/collections/sentinel-2-l1c/items | jq -r '.meta.found'
5 633 438

Lambda config

	import mercantile
	from shapely.geometry import box, shape
	from supermercado import burntiles

	minzoom = 7
	maxzoom = 12
	maximum_items_per_tile = 20

	def stac_to_mosaicJSON(data):
	dataset = data["features"]

	<!DOCTYPE html>
	<html>
	<head>
	<meta charset='utf-8' />
	<title>Demo</title>
	<meta name='viewport' content='initial-scale=1,maximum-scale=1,user-scalable=no' />

	<script src='https://api.tiles.mapbox.com/mapbox-gl-js/v1.0.0/mapbox-gl.js'></script>
	<link href='https://api.tiles.mapbox.com/mapbox-gl-js/v1.0.0/mapbox-gl.css' rel='stylesheet' />

	"""rio_tiler.sentinel1: Sentinel-1 processing."""

	import os
	import re
	import json
	import warnings
	import multiprocessing
	from functools import partial
	from concurrent import futures

	import json

	import click
	import cligj

	from shapely.geometry import shape, mapping, MultiPolygon
	from shapely.affinity import translate


	@click.command()

	import json

	import click
	import cligj

	from shapely.geometry import shape, mapping


	@click.command()
	@click.pass_context