baldrailers

Arch Linux ARM on Crostini

I got Arch Linux ARM installed on a Lenovo Chromebook Duet! I mostly used the instructions from the Arch Wiki as reference.

0. Before we begin

srijan

---
- name: Install packages using apt
  apt:
    name: 
        - apt-transport-https
        - ca-certificates
        - curl
        - gnupg2
        - software-properties-common
    state: present

celoyd

I've rendered out two map layers with pre-typhoon Landsat 8 imagery. This is very low resolution (15 m) but may help fill in major highways and rivers for areas that still lack better coverage. They include clouds because I found that splicing them together can introduce seam artifacts that could be mistaken for roads.

The layer templates are:

• https://d.tiles.mapbox.com/v3/char.Leyte1/{z}/{x}/{y}.png – Leyte area (browsable view)

• https://d.tiles.mapbox.com/v3/char.Leyte2/{z}/{x}/{y}.png (browsable view)

• https://d.tiles.mapbox.com/v3/char.Yolanda3/{z}/{x}/{y}.png (Panay/Masbate area; relatively clear Masbate – browsable view)

cversek

import numpy as np
import matplotlib

def make_cmap_guassianHSV( num_segs     = 100, #number of segments
                           bandwidth    = 0.25,
                           red_center   = 1.00,
                           green_center = 0.75,
                           blue_center  = 0.50,   
                           name = "gaussianHSV"             
                         ):

hrwgc

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.

cspanring

server {

    listen   80;
    server_name mydomain.org;

    root /var/www;

    access_log off;
    error_log /home/user/geonode/log/nginx_error.log;

benhosmer

Vagrant::Config.run do |config|
  config.vm.box = "bensprecise64"
  config.vm.network :hostonly, "192.168.33.19"
  ## Use all the defaults:
  config.vm.provision :salt do |salt|
    salt.run_highstate = true

    ## Optional Settings:
    salt.minion_config = "salt/minion.conf"

andrewharvey

About

This package contains a set of tools, utilities and stylesheets for working with the Geoscience Australia National Dynamic Land Cover Dataset.

Using the Scripts

You can run the scripts individually as described in the sections below, or just as,

./scripts/00-all.sh

Dependencies

atrawog

L.TileLayer.TileJSON = L.TileLayer.Canvas.extend({
    options: {
        debug: false
    },

    tileSize: 256,

    initialize: function (options) {
        L.Util.setOptions(this, options);

jgomezdans

#!/usr/bin/env python
"""
A script to grab timeseries from MODIS data using GDAL and python
Author: J Gomez-Dans/NCEO & UCL
"""
__author__: J Gómez-Dans

import numpy as np
import matplotlib.pyplot as plt
from osgeo import gdal