Many networks of automated meteo stations are around. In some places, the data are easy to access and therefore use. In some others, you have to go through a number of hoops. In Andalusia, it's a mixed bag: a number of independent networks are available for agricultural and environmental ...
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Downsampling with GDAL in python
Quite often, one wants to generate some data at high resolution (say process some image or images) and then calculate some relevant spatial statistics at some other resolution. For example, you might want to process Landsat TM data at 30m resolution, and might want to aggregate it to a resolution ...
read moreHow to extract spectra from image data using ground truth vector data
Supervised classification of EO data uses a set of samples from known patterns (usually reflectance spectra) to decide whether a given pattern belongs to one class or another. In landcover applications, one goes to the field, and observes that a given location is indeed class $\omega_c$. These ground observations usually ...
read moreCreating a country raster mask using GDAL
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 ...
read moreEOLDAS talk at VU Amsterdam
So I have just spent a week visiting at the VU Amsterdam. During this visit, I have also given a talk on EOLDAS. The slides are availabe from here.
read moreSimple time series MODIS data analysis
In a previous post, 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 ...
read moreStitching together MODIS data
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 8-day Gross Primary Productivity (GPP) product over say the UK. Moreover ...
read moreLinearly scaling raster data with GDAL
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 ...
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