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<!DOCTYPE html> | |
<html> | |
<head> | |
<title>Leaflet.draw Plugin</title> | |
<meta charset="utf-8" /> | |
<link | |
rel="stylesheet" | |
href="http://cdn.leafletjs.com/leaflet-0.7/leaflet.css" | |
/> | |
<link |
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import rasterio | |
import numpy as np | |
src = rasterio.open('/Users/sean/code/decloud/envs/1_16/output/0_q.tif') | |
# Fraction of elements with value > 100 at full resolution. | |
q = src.read_band(1) | |
ones = np.ones(q.shape) | |
print "Full, %d pixels" % (q.shape[0]*q.shape[1]) | |
print sum(ones[q>100])/(q.shape[0]*q.shape[1]) |
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# Some good references are: | |
# http://russbrooks.com/2010/11/25/install-postgresql-9-on-os-x | |
# http://www.paolocorti.net/2008/01/30/installing-postgis-on-ubuntu/ | |
# http://postgis.refractions.net/documentation/manual-1.5/ch02.html#id2630392 | |
#1. Install PostgreSQL postgis and postgres | |
brew install postgis | |
initdb /usr/local/var/postgres | |
pg_ctl -D /usr/local/var/postgres -l /usr/local/var/postgres/server.log start |
Landsat 4-5 | Wavelength | Landsat 7 | Wavelength | Landsat 8 | Wavelength (micrometers) |
---|---|---|---|---|---|
Band 1 - Coastal aerosol | 0.43 - 0.45 | ||||
Band 1 | 0.45-0.52 | Band 1 | 0.45-0.52 | Band 2 - Blue | 0.45 - 0.51 |
Band 2 | 0.52-0.60 | Band 2 | 0.52-0.60 | Band 3 - Green | 0.53 - 0.59 |
Band 3 | 0.63-0.69 | Band 3 | 0.63-0.69 | Band 4 - Red | 0.64 - 0.67 |
Band 4 | 0.76-0.90 | Band 4 | 0.77-0.90 | Band 5 - Near Infrared (NIR) | 0.85 - 0.88 |
Band 9 - Cirrus | 1.36 - 1.38 | ||||
Band 5 | 1.55-1.75 | Band 5 | 1.55-1.75 | Band 6 - SWIR 1 | 1.57 - 1.65 |
Band 7 | 2.08-2.35 | Band 7 | 2.09-2.35 | Band 7 - SWIR 2 | 2.11 - 2.29 |
layout: blog category: blog published: true title: "Mapas Dinámicos Rápidos con OpenStreetMap, MapBox.js y Google Spreadsheets" subtitle: "In time for Desarrollando América Latina: an example of quickly building a geo application with MapBox Streets, MapBox.js and Google Spreadsheets" permalink: /blog/aplicacion-mapas-rapido image: http://farm9.staticflickr.com/8210/8224404737_523aca1954_o.jpg tags:
- Ruben Lopez Mendoza
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import subprocess | |
import sys, re | |
MERC = '+proj=merc +a=6378137 +b=6378137 +lat_ts=0.0 +lon_0=0.0 +x_0=0.0 +y_0=0 +k=1.0 +units=m +nadgrids=@null +wktext +no_defs' | |
infile = sys.argv[1] | |
info_output = subprocess.Popen(['gdalinfo', infile], stdout=subprocess.PIPE).communicate()[0] | |
size_is_re = re.compile('Size is (?P<width>\d+), (?P<height>\d+)') | |
size_is = filter(lambda x: x, map(lambda x: size_is_re.match(x), info_output.split('\n'))) |