[Blends-commit] [gis] 01/01: Added packages ot the PyTroll collection

[Antonio Valentino]

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a_valentino-guest pushed a commit to branch master
in repository gis.

commit ef493e3bafa50c1a10ebece321c4b65cae3abae8
Author: Antonio Valentino <antonio.valentino at tiscali.it>
Date:   Thu Jun 26 19:33:15 2014 +0200

    Added packages ot the PyTroll collection
---
 tasks/remotesensing | 71 +++++++++++++++++++++++++++++++++++++++++++++++++++--
 1 file changed, 69 insertions(+), 2 deletions(-)

diff --git a/tasks/remotesensing b/tasks/remotesensing
index 2a13aba..c605ea3 100644
--- a/tasks/remotesensing
+++ b/tasks/remotesensing
@@ -342,8 +342,8 @@ Pkg-Description: Generates Digital Elevation Models using a local gridding metho
  provided by the user. This neighbourhood is referred to as a bin, while the
  grid cell is referred to as a DEM node.
  .
- Up to four values — minimum, maximum, mean, or inverse distance weighted
- (IDW) mean — are computed for points that fall within the bin.
+ Up to four values - minimum, maximum, mean, or inverse distance weighted
+ (IDW) mean - are computed for points that fall within the bin.
  These values are then assigned to the corresponding DEM node and used to
  represent the elevation variation over the neighbourhood represented by
  the bin. If no points are found within a given bin, the DEM node receives
@@ -356,3 +356,70 @@ Pkg-Description: Generates Digital Elevation Models using a local gridding metho
 Depends: python-pyresample
 WNPP: 720529
 Language: Python
+
+Depends: python-pykdtree
+WNPP: 752225
+Language: Python, C
+
+Depends: python-pyorbital
+WNPP: 752258
+Language: Python
+
+Depends: python-pycoast
+WNPP: 752328
+Language: Python
+
+Depends: mipp
+Homepage: https://github.com/loerum/mipp
+License: GPL-3
+Language: Python
+Responsible: Antonio Valentino <antonio.valentino at tiscali.it>
+Pkg-Description: This is a Meteorological Ingest-Processing Package (mipp).
+ It's main task is to convert t low level satellite data into a format
+ understood by mpop (http://github.com/mraspaud/mpop).
+ The primary purpose is to support Geostationary satellite data
+ (level 1.5) but there is also support for the reading of some polar
+ orbiting SAR data.
+ .
+ A more sophisticated interface to satellite data objects is supported
+ by mpop.
+ .
+ Currently it handles data from all current Meteosat Second Generation
+ (MSG) satellites, Meteosat 7, GOES 11-15, MTSAT's, and GOMS, all a
+ retrieved via EUMETCast.
+ .
+ In addition mipp handles Synthetic Apperture Radar (SAR) data from
+ Terrscan-X, Cosmo-Sky Med, and Radarsat 2.
+
+Depends: mpop
+Homepage: https://github.com/mraspaud/mpop
+License: GPL-3
+Language: Python
+Responsible: Antonio Valentino <antonio.valentino at tiscali.it>
+Pkg-Description: Meteorological Post-Processing Package (MPoP)
+ The Meteorological Post-Processing package is a python library for
+ generating RGB products for meteorological remote sensing.
+ As such it can create RGB composites directly from satellite instrument
+ channels, or take advantage of precomputed PGEs.
+ .
+ It is designed to be easily extendable to support any meteorological
+ satellite by the creation of plugins. In the base distribution,
+ it is provided support for Meteosat 7, 8, 9, MTSAT1R, MTSAT2, GOES 11,
+ GOES 12, GOES 13 through the use of mipp, and Noaa 15, 16, 17, 18, 19,
+ and Metop A through the use of aapp and ahamap.
+ .
+ Reprojection of data is also available through the use of the pyresample
+ package.
+
+Depends: python-bufr
+Homepage: https://code.google.com/p/python-bufr/
+License: GPL-3
+Language: Python
+Responsible: Antonio Valentino <antonio.valentino at tiscali.it>
+Pkg-Description: Generic BUFR file reader written in python
+ Generic Python BUFR file reader based on the ECMWF BUFR library.
+ File support is similar to the ECMWF BUFR library and the package
+ currently only supports read-only mode.
+ .
+ This module is part of the Pytroll project.
+

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