How to Install and Uninstall python3-xsar Package on Kali Linux

Last updated: December 24,2024

1. Install "python3-xsar" package

This guide let you learn how to install python3-xsar on Kali Linux


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                python3-xsar
            
                    
    
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2. Uninstall "python3-xsar" package

Please follow the step by step instructions below to uninstall python3-xsar on Kali Linux:


    
        
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                sudo apt remove
            
                        
                python3-xsar
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the python3-xsar package on Kali Linux

Package: python3-xsar
Source: xsar
Version: 2024.02.1-1
Installed-Size: 1059
Maintainer: Debian GIS Project
Architecture: all
Depends: python3-affine, python3-aiohttp, python3-cartopy, python3-dask, python3-distributed, python3-fiona, python3-fsspec, python3-gdal, python3-geopandas, python3-jinja2, python3-lxml, python3-numpy, python3-psutil, python3-pyproj, python3-rasterio, python3-rioxarray, python3-scipy, python3-shapely, python3-tz, python3-xarray, python3-xarray-datatree, python3:any
Size: 548212
SHA256: d7e47cbe41bf730da923ffe45a4f5f9aecd432df77545fcee9f5f1be8835120b
SHA1: 732cbe37afabaac30f4797a2dfda0a23f6ce24c9
MD5sum: 37d52c4026b85407dbcd73c7fade4cf1
Description: Python xarray reader to use Level-1 GRD Synthetic Aperture Radar products
XSAR is a distributed Level 1 Synthetic Aperture Radar (SAR) file reader
designed to write efficient distributed processing algorithms with xarray
and dask.
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It currently handles Level-1 Sentinel-1 and Radarsat-2 data in SAFE format,
as found on scihub or PEPS.
.
XSAR rely on `xarray.open_rasterio`, rasterio and GDAL to read digital_number
from SAFE product to return an `xarray.Dataset` object with dask chunks.
LUTs are decoded from XML files and applied to digital_number, following
official ESA thermal de-noising document and ESA Sentinel-1 Product
Specification.
.
End user can directly use for example sigma0 variable, or the de-noised
sigma0 computed from digital_number and by applying relevant LUTs.
.
Since XSAR rely on dask, it have a small memory footprint: variables are
read from file and computed only if needed.
Description-md5:
Homepage: https://github.com/umr-lops/xsar
Section: python
Priority: optional
Filename: pool/main/x/xsar/python3-xsar_2024.02.1-1_all.deb