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

jgomezdans

#!/bin/bash
# This command works on my laptop, maybe it's a bug?
# USAGE: ./grab_modis.sh productname tile year
# Where productname is the complete product name (including collection)
# ie MOD17A2.005, or MCD45A1.005
# gist in https://gist.github.com/3145223
usage(){
    echo "MODIS data grabber"
    echo "By J Gómez-Dans, National Centre for Earth Observation & UCL"
    echo "Usage: $0 <product_name> <tile> <year>"

gka

sgillies

Author: Sean Gillies Version: 1.0

Abstract

This document describes a GeoJSON-like protocol for geo-spatial (GIS) vector data.

Introduction

DGuidi

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

    tileSize: 256,

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

philipn

"""
Likely not useful to anyone else, but just putting it out there.

This script will take a directory of GeoTIFFs and merge them together without issues.
This script simply decompresses the files, runs nearblack to remove pseudo-black borders caused by compression, and then uses gdalwarp to stitch the files together.

The script is designed to use the minimal amount of disk space possible -- it cleans up each file after decompression and continually merges with a master image.
"""

import os