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)

nrenner

migurski

from json import load, JSONEncoder
from optparse import OptionParser
from re import compile

float_pat = compile(r'^-?\d+\.\d+(e-?\d+)?$')
charfloat_pat = compile(r'^[\[,\,]-?\d+\.\d+(e-?\d+)?$')

parser = OptionParser(usage="""%prog [options]

Group multiple GeoJSON files into one output file.