Jacques Tardie jqtrde

Processing LiDAR to extract building heights

Walk through

Detailed walk through of building extraction using postgis

First lets pull a data layer from of openstreetmap. You can do this any which way you’d like, as there are a variety of methods for pulling openstreetmap data from their database. Check the [wiki] (http://wiki.openstreetmap.org/wiki/Downloading_data) for a comprehensive list. My favourite method thus far is pulling the data straight into QGIS using the open layers plugin. For those who may want to explore this method, check [this tutorial] (http://www.qgistutorials.com/en/docs/downloading_osm_data.html). For building extraction you only need building footprints, and include the building tags. Not all polygons are of type building in OSM, so we can download all the polygons, and then filter the layer for only polygons tagged as buildings.

LiDAR data was pulled from USGS via the Earth Explorer site. [Here] (http://earthobservatory.nasa.gov/blogs/ele

Bitcoin Full Node on AWS Free Tier

Provisioning

Launch one T2 micro instance, using Ubuntu 14.04 LTS AMI.
Open SSH and Bitcoin Protocol TCP ports: 22, 8333.
Attach 40GB EBS (General-Purpose SSD) volume for blockchain storage to /dev/sdf.

The pricing should be ~3$ for the first year (assuming 30GB upload per month). See here for more details.

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

The introduction to Reactive Programming you've been missing

(by @andrestaltz)

This tutorial as a series of videos

If you prefer to watch video tutorials with live-coding, then check out this series I recorded with the same contents as in this article: Egghead.io - Introduction to Reactive Programming.

iata	title	city	state	country	latitude	longitude
00M	Thigpen	Bay Springs	MS	USA	31.95376472	-89.23450472
00R	Livingston Municipal	Livingston	TX	USA	30.68586111	-95.01792778
00V	Meadow Lake	Colorado Springs	CO	USA	38.94574889	-104.5698933
01G	Perry-Warsaw	Perry	NY	USA	42.74134667	-78.05208056
01J	Hilliard Airpark	Hilliard	FL	USA	30.6880125	-81.90594389
01M	Tishomingo County	Belmont	MS	USA	34.49166667	-88.20111111
02A	Gragg-Wade	Clanton	AL	USA	32.85048667	-86.61145333
02C	Capitol	Brookfield	WI	USA	43.08751	-88.17786917
02G	Columbiana County	East Liverpool	OH	USA	40.67331278	-80.64140639

THIS GIST WAS MOVED TO TERMSTANDARD/COLORS REPOSITORY.

PLEASE ASK YOUR QUESTIONS OR ADD ANY SUGGESTIONS AS A REPOSITORY ISSUES OR PULL REQUESTS INSTEAD!

	<!DOCTYPE html>
	<meta charset="utf-8">
	<style>
	svg{
	background:#2379d5;
	}

	.texto{
	font-size:13px;
	}

	# 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 && \

	#######################################################################
	###BASH FOR PROCESSING LANDSAT 8 (8-BIT CONVERSION NEEDED AND INCLUDED)
	########################################################################

	###MAKE SURE IMAGERY ZIP FILE IS IN L8_IMAGERY FOLDER ON DESKTOP

	###THIS SPECIFIC COLOR TWEAKING WAS DESIGNED FOR BAIJI IRAQ AND THEREFORE
	###WILL BEST FIT DESERT REGIONS!

	Folder="Baiji_Jun18"

	#!/bin/bash
	# This script is for exporting MBTiles directly to your Mapbox account.
	# Requires a Mapbox account with sufficient storage for your tiles and
	# authorized with your TileMill 0.10.0 install.
	# Note that the maximum file transfer size is 5GB.
	# Adapted from https://gist.github.com/springmeyer/7875415.

	# Settings: edit these as needed
	PROJECT_NAME="geography-class" # the folder name in your /project directory
	OUTPUT_DIRECTORY="~/Documents/MapBox/export/"