[ Източник: debian-gis ]
Пакет: gis-remotesensing (0.0.21)
Връзки за gis-remotesensing
Ресурси за Debian:
Изтегляне на пакет-източник debian-gis.
Отговорници:
- Debian GIS Project (Страница за QA, Пощенски архив)
- Petter Reinholdtsen (Страница за QA)
- Andreas Tille (Страница за QA)
- Bas Couwenberg (Страница за QA)
Външни препратки:
- Начална страница [debian-gis-team.pages.debian.net]
Подобни пакети:
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.
Други пакети, свързани с gis-remotesensing
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- dep: gis-tasks (= 0.0.21)
- Debian GIS tasks for tasksel
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- rec: coda
- Common Data Access framework for Earth science
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- rec: gdal-bin
- Geospatial Data Abstraction Library - Utility programs
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- rec: libepr-api-dev
- ENVISAT Product Reader API for C -- Development files
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- rec: liberfa-dev
- Essential Routines for Fundamental Astronomy (development files)
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- rec: libgdal-dev
- Geospatial Data Abstraction Library - Development files
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- rec: libotb-dev
- Пакетът не е наличен
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- rec: mintpy
- Miami INsar Time-series software in PYthon -- scripts
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- rec: monteverdi
- Пакетът не е наличен
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- rec: otb-bin
- Пакетът не е наличен
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- rec: otb-bin-qt
- Пакетът не е наличен
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- rec: pykml
- Python KML library -- scripts
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- rec: python3-coda
- Python3 interface for CODA science formats library
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- rec: python3-epr
- Python ENVISAT Product Reader API
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- rec: python3-erfa
- Python bindings for ERFA routines
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- rec: python3-gdal
- Python 3 bindings to the Geospatial Data Abstraction Library
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- rec: python3-geotiepoints
- Interpolation of geographic tiepoints in Python
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- rec: python3-hdf4
- Python-HDF4: Python interface to the NCSA HDF4 library
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- rec: python3-jplephem
- Use a JPL ephemeris to predict planet positions
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- rec: python3-mintpy
- Miami INsar Time-series software in PYthon
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- rec: python3-pyaps3
- Python based Atmospheric Phase Screen Estimation
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- rec: python3-pycoast
- Draw coastlines, borders and rivers on images (for Python 3)
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- rec: python3-pygac
- Python package to read and calibrate NOAA AVHRR GAC data
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- rec: python3-pykdtree
- Fast kd-tree implementation with OpenMP-enabled queries (Python 3 version)
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- rec: python3-pykml
- Python KML library
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- rec: python3-pymap3d
- pure-Python 3D coordinate conversions for geospace
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- rec: python3-pyorbital
- Orbital and astronomy computations in Python
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- rec: python3-pyresample
- Resampling of remote sensing data in Python
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- rec: python3-pysolid
- Python wrapper for solid Earth tides
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- rec: python3-pyspectral
- Reading and manipulaing satellite sensor spectral responses
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- rec: python3-satpy
- Python package for earth-observing satellite data processing
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- rec: python3-sentinelsat
- search and download Sentinel satellite images (Python)
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- rec: python3-skyfield
- Elegant astronomy for Python
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- rec: python3-xarray-sentinel
- Easily access SAR data products of the Copernicus Sentinel-1 satellite mission
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- rec: sentineldl
- download and convert Sentinel 2 data
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- rec: sentinelsat
- search and download Sentinel satellite images
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- sug: doris
- Delft object-oriented radar interferometric software
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- sug: esa-snap
- Пакетът не е наличен
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- sug: gmtsar
- InSAR processing system based on Generic Mapping Tools - metapackage
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- sug: googleearth-package
- Пакетът не е наличен
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- sug: isce2
- Пакетът не е наличен
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- sug: nco
- Command-line operators to analyze netCDF files
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- sug: ncview
- X11 visual browser for NetCDF format files
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- sug: netcdf-bin
- Programs for reading and writing NetCDF files
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- sug: points2grid
- Пакетът не е наличен
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- sug: polsarpro
- Пакетът не е наличен
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- sug: python3-sarsen
- Algorithms and utilities for Synthetic Aperture Radar (SAR) sensors
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- sug: sarsen
- Algorithms and utilities for Synthetic Aperture Radar (SAR) sensors -- scripts
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- sug: snaphu
- Statistical-Cost, Network-Flow Algorithm for 2D Phase Unwrapping
Изтегляне на gis-remotesensing
Архитектура | Големина на пакета | Големина след инсталиране | Файлове |
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all | 5,9 кБ | 21,0 кБ | [списък на файловете] |