The, moderate-resolution imaging spectroradiometer (modis) sensors on both Aqua and Terra platforms provide a wealth of (environmental) data.
All modis data are distributed in a custom sinusoidal projection, hence the rather weird looking shape of the map.E-171 Veld najaar, sKF E7, reehorst '45 E2 0 - 17, datum, tijd, poule, thuis, registrerade sexualbrottslingar alberta kanada uit, uitslag, extra 11:00, e-171 Veld najaar.First you have to determine where your data is located within the tiled format modis data is distributed.These layers in structured HDF files are called scientific data sets (SDS).Finally extract the data at the new sinusoidal coordinates.Now you have succesfully read in data.
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For the Land Products there are roughly 350 or so tiles with varying degrees of actual land coverage.
Once you have the horizontal and vertical tiles you can download only these tiles instead of the entire archive.You need to specify one to read them individually.ClubAchilles '29Kozakken BoysVV KatwijkDe TreffersExcelsior MaassluisFC LiendenJong Sparta RotterdamBVV Barendrechtvvsb Noordwijkerhoutgvvv VeenendaalAFC AmsterdamSV TEC TielKoninklijke HFC HaarlemHHC HardenbergVV IJsselmeervogelsASV De DijkFC LisseRijnsburgse Boys.Dependencies, to download extract data from a modis HDF file in R you need a few packages.However, this data is projected using the sinusoidal projection, not the lat-long.Extracting data, as previously mentioned, data is stored in HDF files.These files are readily readable by the gdal library.
All tiles are denoted with a horizontal (h) and a vertical index (v).
Tiles, in order to find the right tile we load a coordinate into.