Brian Jacobs briantjacobs

Better local require() paths for Node.js

Problem

When the directory structure of your Node.js application (not library!) has some depth, you end up with a lot of annoying relative paths in your require calls like:

const Article = require('../../../../app/models/article');

Those suck for maintenance and they're ugly.

Possible solutions

##This workflow is only for the pansharpened images

####red-green-blue
gdalbuildvrt -separate -q -srcnodata "0 0 0" -vrtnodata "0 0 0" rgb.vrt LC80430352013339LGN00_B4.tif LC80430352013339LGN00_B3.tif LC80430352013339LGN00_B2.tif

####NIR, SWIR, and visible red
gdalbuildvrt -separate -q -srcnodata "0 0 0" -vrtnodata "0 0 0" false.vrt LC80430352013339LGN00_B5.tif LC80430352013339LGN00_B6.tif LC80430352013339LGN00_B4.tif

####color infrared
gdalbuildvrt -separate -q -srcnodata "0 0 0" -vrtnodata "0 0 0" cir.vrt LC80430352013339LGN00_B5.tif LC80430352013339LGN00_B3.tif LC80430352013339LGN00_B4.tif

This is my default career advice for people starting out in geo/GIS, especially remote sensing, adapted from a response to a letter in 2013.

I'm currently about to start a Geography degree at the University of [Redacted] at [Redacted] with a focus in GIS, and I've been finding that I have an interest in working with imagery. Obviously I should take Remote Sensing and other similar classes, but I'm the type of person who likes to self learn as well. So my question is this: What recommendations would you give to a student who is interested in working with imagery? Are there any self study paths that you could recommend?

I learned on my own and on the job, and there are a lot of important topics in GIS that I don’t know anything about, so I can’t give comprehensive advice. I haven’t arrived anywhere; I’m just ten minutes ahead in the convoy we’re both in. Take these recommendations critically.

Find interesting people. You’ll learn a lot more from a great professor (or mentor, or friend, or conference) o

Whole Earth Guide

I'm not sure about this; GIS really got burned from being both a 'science' and a 'product' from the beginning, and there are blurry lines between what I think is essential and what I don't know because I never do it and am not a GIS person. Anyway.

A No-Bullshit Intro to Maps and GIS

What Maps Are
Data
Information
Transformation

This script processes VIIRS Nighttime Lights 2012 GeoTIFFs from the Earth Observation Group at NOAA National Geophysical Data Center to prepare them for rendering in TileMill and uploading to MapBox Hosting.

Read Lights of the Night on MapBox to learn more about NPP the functions of this script.

	# html5 pushstate (history) support:
	<ifModule mod_rewrite.c>
	RewriteEngine On
	RewriteCond %{REQUEST_FILENAME} !-f
	RewriteCond %{REQUEST_FILENAME} !-d
	RewriteCond %{REQUEST_URI} !index
	RewriteRule (.*) index.html [L,QSA]
	</ifModule>

	#! /bin/bash

	# Convert Landsat 8 GeoTIFF images into RGB pan-sharpened JPEGs.
	#
	# Requirements:
	# * gdal http://www.mapbox.com/tilemill/docs/guides/gdal/
	# * convert (image-magick)
	#
	# Reference info:
	# http://www.mapbox.com/blog/putting-landsat-8-bands-to-work/

	/* Numerics for Doyle spirals.
	* Robin Houston, 2013
	*/

	(function() {
	var pow = Math.pow,
	sin = Math.sin,
	cos = Math.cos,
	pi = Math.PI;

	/*

	limitLoop.js - limit the frame-rate when using requestAnimation frame
	Released under an MIT license.

	When to use it?
	----------------
	A consistent frame-rate can be better than a janky experience only
	occasionally hitting 60fps. Use this trick to target a specific frame-
	rate (e.g 30fps, 48fps) until browsers better tackle this problem