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<!DOCTYPE html>
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<title>EO & DA Ramblings</title>
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<meta name="author" content="J Gomez-Dans">
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<div class='article-title span9'>
<a href="/brdf-modelling-of-modis-land-surface-data.html"><h1>BRDF modelling of MODIS land surface data</h1></a>
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<p>Tue 03 September 2013 </p>
<p style="text-align: left;">
Filed under <a href="/category/blog.html">Blog</a>
</p>
<p style="text-align: left;">
Tags <a href="/tag/modis.html">MODIS</a> <a href="/tag/python.html">python</a> <a href="/tag/remote-sensing.html">remote-sensing</a> </p>
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<div class="summary span8">
<p>This post introduces simple BRDF modelling (i.e. how can we account
for the variation in surface reflectance due to acquisition geometry?)
using some MODIS data. You can find the whole post in <a class="reference external" href="https://www.wakari.io/sharing/bundle/jgomezdans/BRDF_modelling">wakari</a>. If you
accept to not escape the HTML & JS, you will find a link to the ...</p>
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<a href="/ridelondon-data-download.html"><h1>RideLondon data download</h1></a>
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<p>Mon 05 August 2013 </p>
<p style="text-align: left;">
Filed under <a href="/category/blog.html">Blog</a>
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<p style="text-align: left;">
Tags <a href="/tag/python.html">python</a> </p>
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<div class="summary span8">
<p>So a quick post on how to get access the web-based data on rider timings for the <a class="reference external" href="http://www.prudentialridelondon.co.uk/">RideLondon event</a>. The idea is that you can access the cyclist timings, and then
maybe do some statistics (or boost/depress your morale by looking at how your time compares to the wider ...</p>
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<a href="/stitching-modis-burned-area-datasets.html"><h1>Stitching MODIS burned area datasets</h1></a>
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<p>Thu 27 June 2013 </p>
<p style="text-align: left;">
Filed under <a href="/category/blog.html">Blog</a>
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Tags <a href="/tag/modis.html">MODIS</a> <a href="/tag/gdal.html">GDAL</a> <a href="/tag/tips.html">tips</a> </p>
<p>
</p>
</div>
<div class="summary span8">
<p>MODIS products are usually provided as data granules, representing the magnitude of interest
(plus a number of different extra layers of metadata, quality assurance flags, etc) over a
given temporal period for an area typically extending 1200 by 1200 km in the MODIS sinusoidal
projection, around 10x10 degrees. Typically, your ...</p>
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<a href="/getting-a-box.html"><h1>Getting a box</h1></a>
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<p>Sun 23 June 2013 </p>
<p style="text-align: left;">
Filed under <a href="/category/blog.html">Blog</a>
</p>
<p style="text-align: left;">
Tags <a href="/tag/gdal.html">GDAL</a> <a href="/tag/tips.html">tips</a> </p>
<p>
</p>
</div>
<div class="summary span8">
<p>Let's say one wants to find out a box around a given latitude/longitude point. How to do this
without GIS software using an artisan UNIX approach? Hell, if it works for coffee! The steps
are as follows:</p>
<ol class="arabic simple">
<li>Convert the centre point into UTM so we have meters rather ...</li></ol>
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<a href="/downloading-modis-data-with-python.html"><h1>Downloading MODIS data with Python</h1></a>
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<div class="span2">
<p>Mon 17 June 2013 </p>
<p style="text-align: left;">
Filed under <a href="/category/blog.html">Blog</a>
</p>
<p style="text-align: left;">
Tags <a href="/tag/python.html">python</a> <a href="/tag/modis.html">modis</a> <a href="/tag/web.html">web</a> </p>
<p>
</p>
</div>
<div class="summary span8">
<p>Recently, the USGS has closed their FTP download service for MODIS
products, such as LAI, surface reflectance, etc. This is quite annoying,
because I had a nice <tt class="docutils literal">wget</tt> script that no longer works... So I decided
to code a simple downloader in python that woud supersede my previous
hacked together ...</p>
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