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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<title>EO & DA Ramblings</title>
<meta name="description" content="">
<meta name="author" content="J Gomez-Dans">
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<div class='article-title span9'>
<a href="/creating-a-country-raster-mask-using-gdal.html"><h1>Creating a country raster mask using GDAL</h1></a>
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<p>Thu 02 August 2012 </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/remote-sensing.html">remote sensing</a> <a href="/tag/tips.html">tips</a> </p>
<p>
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<div class="summary span8">
<p>Usually, we remote sensing types ignore country boundaries: they don't really
make much sense, as they are not aligned with MODIS pixels ;-) However, I was
asked what's the easiest way to produce a global mask of countries, so that all
th grid cells (say at 0.5 degree ...</p>
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<a href="/eoldas-talk-at-vu-amsterdam.html"><h1>EOLDAS talk at VU Amsterdam</h1></a>
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<p>Wed 01 August 2012 </p>
<p style="text-align: left;">
Filed under <a href="/category/blog.html">Blog</a>
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Tags <a href="/tag/eoldas.html">EOLDAS</a> <a href="/tag/data-assimilation.html">data assimilation</a> <a href="/tag/python.html">python</a> </p>
<p>
</p>
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<div class="summary span8">
<p>So I have just spent a week visiting at the <a class="reference external" href="http://www.falw.vu.nl/nl/onderzoek/earth-sciences/geo-environmental-science-and-hydrology/index.asp">VU Amsterdam</a>.
During this visit, I have also given a talk on EOLDAS. The slides are
availabe from <a class="reference external" href="http://jgomezdans.github.com/eoldas_release/EOLDAS_VUA.pdf">here</a>.</p>
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<div class='article-title span9'>
<a href="/simple-time-series-modis-data-analysis.html"><h1>Simple time series MODIS data analysis</h1></a>
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<p>Mon 23 July 2012 </p>
<p style="text-align: left;">
Filed under <a href="/category/blog.html">Blog</a>
</p>
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Tags <a href="/tag/gdal.html">GDAL</a> <a href="/tag/remote-sensing.html">remote sensing</a> <a href="/tag/tips.html">tips</a> <a href="/tag/python.html">python</a> </p>
<p>
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<div class="summary span8">
<p>In a <a class="reference external" href="http://jgomezdans.github.com/stitching-together-modis-data.html">previous post</a>,
I demonstrated how to stitch and put together a number of MODIS data
files. This is useful and interesting, but in the end, we are interested
in analysing the data we get out of the satellite. One first way around
this might be to extract time ...</p>
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<a href="/stitching-together-modis-data.html"><h1>Stitching together MODIS data</h1></a>
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<div class="span2">
<p>Fri 20 July 2012 </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/remote-sensing.html">remote sensing</a> <a href="/tag/tips.html">tips</a> </p>
<p>
</p>
</div>
<div class="summary span8">
<p>MODIS has been around for some 12 years. There are many products that
have large time series over the whole globe which one can use to study
things. So I might want to produce a a timeseries of the <a class="reference external" href="https://lpdaac.usgs.gov/products/modis_products_table/gross_primary_productivity/8_day_l4_global_1km/mod17a2">8-day Gross Primary Productivity (GPP) product</a>
over say the UK. Moreover ...</p>
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<div class='article-title span9'>
<a href="/linearly-scaling-raster-data-with-gdal.html"><h1>Linearly scaling raster data with GDAL</h1></a>
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<p>Fri 20 July 2012 </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/remote-sensing.html">remote sensing</a> <a href="/tag/tips.html">tips</a> </p>
<p>
</p>
</div>
<div class="summary span8">
<p>So, it's quite tricky to play around with these geospatial datasets: they
have a myriad formats, these keep changing, and you can never know what
metadata will be available in them. A clever way around this situation
is to use tools that allow you to read most of the ...</p>
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