Jacques Tardie jqtrde

Deploy your own PaaS!

Setting up Dokku with DigitalOcean and Namecheap

..or how I made my own heroku in a few hours for $3.98.

This write-up owes a great deal to dscape's Node.js Deployments with Docker, Dokku, & Digital Ocean, the dokku project itself, and the fine folks working on dokku's issues. I took dscape's article as a starting point when trying this out but found some details lacking so I documented my own process for getting dokku up and running.

1. Get a domain

MODIS downloads are stored as .hdf files which makes them non-trivial to interact with.

I've previously mentioned using HEG but for a more streamlined approach we're going to want to use gdal.

Compiling GDAL with HDF4 support can actually be done fairly easily using brew although information on this was a bear to find. Thanks to Wood Sun we can do this via three commands

brew tap homebrew/versions
brew install hdf4
brew install https://raw.githubusercontent.com/geoalchimista/homebrew/master/formulae/gdal.rb --with-hdf4

Storytelling from Space: Tools/Resources

This list of resources is all about acquring and processing aerial imagery. It's generally broken up in three ways: how to go about this in Photoshop/GIMP, using command-line tools, or in GIS software, depending what's most comfortable to you. Often these tools can be used in conjunction with each other.

Acquiring Landsat & MODIS

Web Interface

USGS Earth Explorer - Browser and data access (create a login)
http://earthexplorer.usgs.gov/

Landsat archive

Vim as a Python IDE

Why?
- Pre-installed everywhere
- Use directly in terminal
- Modal commands
- Fast
- Community, and all that comes with that.
Basics

	<!DOCTYPE html>
	<html>
	<head>
	<meta charset='utf-8' />
	<title></title>
	<meta name='viewport' content='initial-scale=1,maximum-scale=1,user-scalable=no' />
	<script src='https://api.tiles.mapbox.com/mapbox-gl-js/v0.7.0/mapbox-gl.js'></script>
	<script src='tx.js'></script>
	<link href='https://api.tiles.mapbox.com/mapbox-gl-js/v0.7.0/mapbox-gl.css' rel='stylesheet' />
	<style>

	# https://www.mapbox.com/blog/processing-landsat-8/
	task :landsat_2014 => :environment do
	dirs = Dir["#{Rails.root.to_s}/db/initial/raster/*"].reject {\|q\| q =~ /tar\.gz/ }
	dirs.each do \|dir\|
	scene_id = dir.split("/")[-1]
	[4,3,2].each do \|band\|
	`gdalwarp -t_srs EPSG:3857 #{dir}/#{scene_id}_B#{band}.TIF #{dir}/#{scene_id}_B#{band}-projected.tif`
	end
	`convert -combine #{dir}/#{scene_id}_B{4,3,2}-projected.tif #{dir}/#{scene_id}_RGB-projected.tif && \
	convert -channel B -gamma 0.925 -channel R -gamma 1.03 -channel RGB -sigmoidal-contrast 50x16% #{dir}/#{scene_id}_RGB-projected.tif #{dir}/#{scene_id}_RGB-projected-corrected.tif && \

	```
	SELECT *
	FROM (SELECT the_geom FROM incidents WHERE incidents.major_category = 'Fire') as f, (SELECT geom FROM neighborhoods_wa WHERE neighborhoods_wa.name = 'Broadmoor') as n
	WHERE ST_Within(f.the_geom, n.geom);
	```

	<!DOCTYPE html>
	<html>
	<head>
	<title>Foo</title>
	<meta charset='utf-8' />
	<meta name='viewport' content='width=device-width, initial-scale=1.0, maximum-scale=1.0, user-scalable=0' />
	<style type='text/css'>
	div {
	cursor:pointer;
	cursor:hand;