Task: Remote Sensing
Description: Remote sensing and earth observation
 Debian packages which are dealing with Remote Sensing (for instance
 Synthetic Aperture Radar -- SAR)
 processing (interferometry, polarimetry, data visualization, etc) and
 earth observation.

Depends: monteverdi, otb-bin, otb-bin-qt, python-otb, libotb-dev

Depends: python-epr, libepr-api-dev

Depends: gdal-bin, libgdal-dev, python-gdal

Depends: python-pyresample, python-pykdtree, python-pyorbital, python-pycoast, python-mipp, python-mpop

Depends: ossim-core, libossim-dev

Suggests: ossim-plugins, ossim-gui, ossim-planet, ossim-planet-qt, ossim-package-support

Suggests: googleearth-package

Depends: dans-gdal-scripts

Depends: snaphu

Depends: doris

Suggests: nco, ncview, netcdf-bin

X-Mark: Packages in Vcs - Information about these is queried from UDD

Depends: polsarpro
Language: C, Tcl/Tk

Depends: gsdview
Language: Python

Depends: mapready
Language: C

Depends: adore-doris
Homepage: https://github.com/bosmanoglu/adore-doris
License: GPL-2
Language: bash, python
Responsible: Antonio Valentino <antonio.valentino@tiscali.it>
Pkg-URL: https://launchpad.net/~a.valentino/+archive/eotools/+packages
Pkg-Description: Automated DORIS Environment
 Automated DORIS Environment (adore) is a set of bash scripts to ease
 use of TU-DELFT's DORIS software. ADORE stands for Automated DORIS
 Environment. It is development started at the University of Miami
 Geodesy Group, to help researchers generate interferograms with ease.
 Just like DORIS it is an open source project and it comes with the
 same license. ADORE tries to provide a streamlined user interface
 for generating interferograms with DORIS and has some additional
 features for displaying and exporting the results, and time
 series analysis.

Depends: getorb
Homepage: http://www.deos.tudelft.nl/ers/precorbs/tools/getorb_pack.shtml
License: to be clarified
Language: Fortran
Responsible: Antonio Valentino <antonio.valentino@tiscali.it>
Pkg-URL: http://bazaar.launchpad.net/~a.valentino/+junk/getorb/files
Pkg-Description: Precise orbits interpolation utility
 The software consists of a program, lodr, to list the content of the
 Orbital Data Records (ODRs), a subroutine library, getorb.a, that can
 be ported to some other program to interpolate the orbits and any
 given moment, and an example program getorb to demonstrate the use of
 the getorb.a library.

Depends: roipac
Homepage: http://www.openchannelfoundation.org/projects/ROI_PAC
License: non-free (licenses available at no charge for non-commercial use)
Language: Fortran, Perl
Pkg-Description: Repeat Orbit Interferometry PACkage
 ROI_PAC allows researchers in the area of topography and surface
 change to apply Interferometric Synthetic Aperture Radar (InSAR)
 methods.
 .
 InSAR is the synthesis of conventional SAR techniques and
 interferometry techniques that have been developed over several
 decades in radio astronomy and radar remote sensing, and in recent
 years has opened entirely new application areas for radar in the earth
 system sciences, including topographic mapping and geodesy [v. e.g.,
 Thompson et al. 1986, Massonnet and Feigl 1998, Rosen et al. 2000].
 .
 ROI_PAC uses raw radar data, ancillary information from telemetry and
 navigation solutions, and digital elevation models (DEM; externally
 provided or interferometrically derived) to produce a variety of
 derived data products, including the full resolution images,
 interferograms, phase images measured as principal value and
 continuously "unwrapped," DEMs, and error estimates.

Depends: eolisa
Homepage: http://earth.esa.int/EOLi/EOLi.html
License: to be clarified
Language: Java
Pkg-URL: http://earth.esa.int/EOLIResources/Installers/Packages/eoli-7.2.1-linux.deb
Pkg-Description: Client for ESA Earth Observation Catalogue and Ordering Services
 EOLi (Earth Observation Link) is the European Space Agency's client for
 Earth Observation Catalogue and Ordering Services. Using EOLi, you can
 browse the metadata and preview images of Earth Observation data
 acquired by the satellites ENVISAT, ERS, Landsat, IKONOS, DMC, ALOS,
 SPOT, Kompsat, Proba, JERS, IRS, Nimbus, NOAA, SCISAT, SeaStar,
 Terra/Aqua.
 .
 Scientific Users with a registered account can order or download
 products of various processing levels.

Depends: snap
Homepage: http://step.esa.int/main/toolboxes/snap/
License: GPL-3
Language: Java
Pkg-Description: SeNtinel Application Platform (SNAP)
 A common architecture for all Sentinel Toolboxes is being jointly
 developed by Brockmann Consult, Array Systems Computing and C-S called
 the Sentinel Application Platform (SNAP).
 .
 The SNAP architecture is ideal for Earth Observation processing and
 analysis due the following technological innovations: Extensibility,
 Portability, Modular Rich Client Platform, Generic EO Data Abstraction,
 Tiled Memory Management, and a Graph Processing Framework.
 .
 Feature Highlights:
 * Common architecture for all Toolboxes
 * Very fast image display and navigation even of giga-pixel images
 * Graph Processing Framework (GPF): for creating user-defined
   processing chains
 * Advanced layer management allows adding and manipulation of new overlays
   such as images of other bands, images from WMS servers or ESRI shapefiles
 * Rich region-of-interest definitions for statistics and various plots
 * Easy bitmask definition and overlay
 * Flexible band arithmetic using arbitrary mathematical expressions
 * Accurate reprojection and ortho-rectification to common map projections,
 * Geo-coding and rectification using ground control points
 * Automatic SRTM DEM download and tile selection
 * Product library for scanning and cataloging large archives efficiently
 * Multithreading and Multi-core processor support
 * Integrated WorldWind visualisation
 .
 SNAP also includes:
 * the Sentinel-1 Toolbox (S1TBX) consists of a collection of processing
   tools, data product readers and writers and a display and analysis
   application to support the large archive of data from ESA SAR missions
   including SENTINEL-1, ERS-1 & 2 and ENVISAT, as well as third party
   SAR data from ALOS PALSAR, TerraSAR-X, COSMO-SkyMed and RADARSAT-2.
   The various processing tools could be run independently from the
   command-line and also integrated within the graphical user interface.
   The Toolbox includes tools for calibration, speckle filtering,
   coregistration, orthorectification, mosaicking, data conversion,
   polarimetry and interferometry.
 * the Sentinel-2 Toolbox consists of a rich set of visualisation,
   analysis and processing tools for the exploitation of optical
   high-resolution products including the upcoming Sentinel-2 MSI sensor.
   As a multi-mission remote sensing toolbox, it also provides support for
   third party data from RapidEye, SPOT, MODIS (Aqua and Terra),
   Landsat (TM) and others.
 * the Sentinel-3 Toolbox consists of a rich set of visualisation,
   analysis and processing tools for the exploitation of OLCI and SLSTR
   data from the upcoming Sentinel-3 mission.
   As a multi-mission remote sensing toolbox, it also supports the ESA
   missions Envisat (MERIS & AATSR), ERS (ATSR), SMOS as well as third
   party data from MODIS (Aqua and Terra), Landsat (TM),
   ALOS (AVNIR & PRISM) and others.
   The various tools can be run from an intuitive desktop application or
   via a command-line interface.
   A rich application programming interface allows for development of
   plugins using Java or Python.
 * the project SMOS Toolbox for SNAP (SMOS-Box) has been brought into life
   in order to support users of data acquired by ESA’s Soil Moisture and
   Ocean Salinity (SMOS) mission.
   SNAP and the SMOS-Box are user tools which ESA/ESRIN is providing free
   of charge to the Earth Observation Community.
Remark: includes/uses the JAI package that is non-free

Depends: opticks
Homepage: http://opticks.org
License: LGPL-2
Language: C, C++
Pkg-URL: http://opticks.org/confluence/display/opticks/Download
Pkg-Description: Opticks is an open source remote sensing application and development framework
 Opticks is an expandable remote sensing and imagery analysis software
 platform that is free and open source. Unlike other competing tools,
 you can add capability to Opticks by creating an extension. Opticks
 provides the most advanced extension capability of any other remote
 sensing tool on the market.
 .
 Features:
   * Supports the following file formats: NITF 2.0/2.1, GeoTIFF, ENVI,
     ASPAM/PAR, CGM, DTED, Generic RAW, ESRI Shapefile, HDF5, AVI,
     MPEG, JPEG, GIF, PNG, BMP
   * Zoom, pan, rotate spatially large datasets
   * Quickly layer GIS features, annotations, results, and other
     information over your data to provide context
   * Many image display controls such as colormap, histogram,
     transparency, etc
   * Support for datasets larger than four gigabytes
   * Analysts can quickly combine steps using graphical wizards
   * Support for processing data in it's native interleave of BIP, BSQ
     or BIL
   * Get extensions to drop in new capability

Depends: openev

Depends: gmtsar
Homepage: http://topex.ucsd.edu/gmtsar
License: GPL-3
Language: C, csh
Pkg-Description: InSAR processing system for users familiar with GMT
 GMTSAR is an open source Interferometric SAR (Synthetic Aperture Radar)
 processing system designed for users familiar with Generic Mapping
 Tools (GMT).
 The code is written in C and will compile on any computer where GMT
 and NETCDF are installed. The system has three main components:
   1. a preprocessor for each satellite data type (e.g., ERS, Envisat,
      and ALOS) to convert the native format and orbital information
      into a generic format
   2. an InSAR processor to focus and align stacks of images, map
      topography into phase, and form the complex interferogram
   3. a postprocessor, mostly based on GMT, to filter the interferogram
      and construct interferometric products of phase, coherence, phase
      gradient, and line-of sight displacement in both radar and
      geographic coordinates.
 .
 GMT is used to display all the products as postscript files and KML
 images for Google Earth. A set of C-shell scripts has been developed
 for standard 2-pass processing as well as image alignment for stacking
 and time series. ScanSAR processing is also possible but requires a
 knowledgeable user.

Depends: giant
Homepage: http://earthdef.caltech.edu/projects/giant
License: non-free (free for non-commercial applications)
Language: Python
Pkg-Description: Generic InSAR Analysis Toolbox
 GIAnT is a suite of Python libraries and scripts that implement
 various published time-series InSAR algorithms in a common framework.
 GIAnT was developed for
   1, Rapid generation of time-series products from interferogram.
   2. Direct comparison of time-series InSAR products using different
      algorithms.
   3. Cal-Val for time-series InSAR.
 .
 The toolbox currently includes implementations of SBAS, N-SBAS and
 MInTS algorithms. The toolbox also includes support for using weather
 model data for stratified troposphere corrections and GPS data for
 orbital error corrections.

Depends: varres
Homepage: http://earthdef.caltech.edu/projects/varres
License: non-free (free for non-commercial applications)
Language: Python
Pkg-Description: Variable Resolution Interferogram Resampler
 The Varres package implements a curvature-based quadtree-like
 interferogram resampler.
 .
 The original matlab package has been extended to include support for
 using a predefined map for resampling and estimation of an approximate
 covariance matrix for the samples.

Depends: pyaps
Homepage: http://earthdef.caltech.edu/projects/pyaps
License: non-free (free for non-commercial applications)
Language: Python
Pkg-Description: Tropospheric correction methods for SAR interferometry
 PyAPS is a python implementation of stratified tropospheric correction
 methods using inputs from global atmospheric models (GAM).
 .
 The package currently works with ERA-Interim Reanalysis, NARR and
 MERRA data, but can be easily extended to support more weather models.

Depends: imcorr
Homepage: http://nsidc.org/data/velmap/imcorr.html
License: GPL-2+
Language: C
Pkg-URL: http://bazaar.launchpad.net/~a.valentino/+junk/imcorr/files
Pkg-Description: Program to do cross-correlation for motion tracking
 IMCORR takes two images and a series of input parameters and attempts
 to match small subscenes (called 'chips') from the two images.
 The program uses a fast fourier transform based version of a
 normalized cross-covariance method.
 .
 The most common use of this type of algorithm in image processing is
 to accurately locate tie-point pairs in two images to coregister them.
 However, if the images are already coregistered by other means, the
 algorithm may be used to find the displacements of moving features,
 provided that the features show little change in their appearance, and
 that the motion is strictly translational.
 .
 The correlation, peak finding, and error estimation routines in IMCORR
 are derived from FORTRAN subroutines from the Land Analysis System
 software (LAS) written at NASA Goddard Space Flight Center and USGS
 Eros Data Center.
 .
 IMCORR consists of a C code wrapper which makes the use of the
 routines more straightforward and automated for velocity-mapping
 applications.

Depends: points2grid
Homepage: http://www.opentopography.org/otsoftware/points2grid
License: BSD
Language: C++
Pkg-URL: http://bazaar.launchpad.net/~a.valentino/+junk/points2grid/files
Pkg-Description: Generates Digital Elevation Models using a local gridding method
 Points2Grid generates Digital Elevation Models (DEM) using a local gridding
 method. The local gridding algorithm computes grid cell elevation using a
 circular neighbourhood defined around each grid cell based on a radius
 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.
 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
 a value of null.
 .
 The Points2Grid service also provides a null filing option, which applies
 an inverse distance weighted focal mean via a square moving window of 3, 5,
 or 7 pixels to fill cells in the DEM that have null values.

Depends: python-bufr
Homepage: https://github.com/pytroll/python-bufr
License: GPL-3
Language: Python
Responsible: Antonio Valentino <antonio.valentino@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.
