The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B7. Beijing 2008
Figure 6. The fire product
Another product available at a 15 minutes interval is the Land
Surface Temperature (LST), generated by the LandSAF (Meteo
Portugal, http://landsaf.meteo.pt). The data is compressed and
delivered in a HDF5 format. Using FWtools version 2.1.0
(http://fwtools.maptools.org) the HDF can be converted to
ILWIS and additional script routines are incorporated to attach
the proper projection information to the northern and southern
African windows, glue to maps to cover the whole continent,
convert the data to temperature in degree Celsius and finally re
assigns the pixels covered by water and clouds. The import
procedure starts with a decompression which is facilitated using
bzip2 (http://www.bzip.org/downloads.html) from within the
batch routine. An example of the imported product is given in
figure 7. More LandS AF products are to be expected in the
future (e.g. an évapotranspiration product) which can
subsequently be imported anticipating only slight adaptations to
the batch routine developed for the LST product.
Figure 7: Land Surface Temperature
Other import routines developed deal with the Low Rate Image
Transmission data (LRIT) in the GEONETCast data stream
from the so called foreign satellites. An example is given in
figure 8, displaying a global mosaic of images taken from
GOES-West, GOES-East, MSG, Meteosat-7 and MTSAT-1R.
The radiometry of GOES is also handled to convert the
respective spectral channels in albedo and temperature. First the
data received via GEONETCast is decompressed, the segments
of the images are glued together and the data is imported, the 10
bit data of GOES is transformed to 16 bit prior to import.
Within a three hour period global composites can be made of
images acquired by these geostationary satellites.
Figure 8: Foreign Satellite thermal infrared global composite
5. PRODUCTS FROM EXTERNAL DATA PROVIDERS
IN GEONETCAST
Already for some time a number of derived products based on
the SPOT Vegetation Instrument are disseminated via
GEONETCast. At a 10 day interval several of the Vegetation
for Africa products can be received. The free VGTExtract tool
(http://www.vgt4africa.org) can be used to unzip the data,
transform it e.g. into an ENVI hdr file using the appropriate
calibration coefficients (VGT4Aftrica User Manual, 2006). But
the VGT products can also be directly imported into ILWIS
using batch routines to decompress the files (using pkunzip,
available at: http://www.freewarehof.org/olhof.html), read the
HDF4 formatted data (using the FWtools utility as described
above) and transforming the data into the appropriate units and
assigning the projection information. Figure 9 shows a number
of decadal products from VGT4Africa.
Figure 9: VGT4Africa products in GEONETCast
(A): Normalised Difference Vegetation index, (B): Normalised
Difference Water Index, (C): Vegetation Production Indicator,
(D): Dry Matter Productivity
The NDVI is calculated by comparing the visible and near-
infrared sunlight reflected by the surface. The NDWI is a
dimensionless index that indicates the presence or absence of
water on the surface and is calculated by comparing the
shortwave and near-infrared sunlight reflected by the surface.
The VPI is used to assess the overall vegetation condition and is
a categorical type of difference vegetation index, whereby the
actual NDVI is referenced against the NDVI percentiles (in 5
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