Jacques Tardie jqtrde

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

Start querying (also scroll down for more query examples!)

Freebase: http://www.freebase.com/query
DBPedia: http://dbpedia.org/snorql
- Scroll for dbpedia examples: https://wiki.base22.com/display/btg/SPARQL+Query+Examples
Factforge: http://factforge.net/sparql

Wikipedia stats

http://en.wikipedia.org/wiki/Wikipedia:Wikipedians

Based on Mike Bostock’s [World Map][0], modified to automatically colour countries such that no adjacent countries share the same colour.

This is done by extracting the topology via [TopoJSON][1] and greedily picking colours until the constraint is fulfilled.

See also: [Graph coloring][2] on Wikipedia.

Update: Greedily colouring is now performed in a single line, thanks to Mike Bostock!

	<!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 && \

	<!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;

	#!/bin/bash

	echo "Enter bands (ie 4 3 2)"

	read B1 B2 B3

	echo "Enter the resulting filename"

	read outputname