How to Install and Uninstall python3-xarray-sentinel Package on Kali Linux

Last updated: May 20,2024

1. Install "python3-xarray-sentinel" package

Please follow the instructions below to install python3-xarray-sentinel on Kali Linux

$ sudo apt update $ sudo apt install python3-xarray-sentinel

2. Uninstall "python3-xarray-sentinel" package

Please follow the guidance below to uninstall python3-xarray-sentinel on Kali Linux:

$ sudo apt remove python3-xarray-sentinel $ sudo apt autoclean && sudo apt autoremove

3. Information about the python3-xarray-sentinel package on Kali Linux

Package: python3-xarray-sentinel
Source: xarray-sentinel
Version: 0.9.5+ds-3
Installed-Size: 442
Maintainer: Debian GIS Project
Architecture: all
Depends: python3-fsspec (>= 2021.4.0), python3-numpy, python3-pandas, python3-rioxarray, python3-xarray (>= 0.18.0), python3-xmlschema (>= 1.9.0), python3:any
Recommends: python3-dask, python3-netcdf4, python3-shapely, python3-zarr
Size: 59292
SHA256: c1c529b1bb491281acd78655974bec3c60c7923cb2ea7dab8630cbe1c3a8dd1e
SHA1: 6d8b07e6e0841a8786a8c4053d7342ff4522bfbc
MD5sum: 8ca3e3b96f271406e8c14dd965a33f06
Description: Easily access SAR data products of the Copernicus Sentinel-1 satellite mission
Easily access and explore the SAR data products of the Copernicus Sentinel-1
satellite mission in Python.
xarray-sentinel is a Python library and Xarray backend with the following
functionalities:
.
* supports the following data products as distributed by ESA:
- Sentinel-1 Ground Range Detected (GRD):
* Stripmap (SM)
* Interferometric Wide Swath (IW)
* Extra Wide Swath (EW)
- Sentinel-1 Single Look Complex (SLC) SM/IW/EW
* creates ready-to-use Xarray `Dataset`s that map the data
lazily and efficiently in terms of both memory usage and disk/network
access
* reads all SAR imagery data: GRD images, SLC swaths and SLC bursts
* reads several metadata elements:
satellite orbit and attitude, ground control points, radiometric
calibration look up tables, Doppler centroid estimation and more
* reads uncompressed and compressed SAFE data products on the local
computer or on a network via fsspec
* supports larger-than-memory and distributed data access via Dask and
rioxarray / rasterio / GDAL
* provides a few helpers for simple operations involving metadata like
cropping individual bursts out of IW SLC swaths, applying radiometric
calibration polynomials, converting slant to ground range for GRD
products and computing geospatial metadata.
Description-md5:
Homepage: https://github.com/bopen/xarray-sentinel
Section: python
Priority: optional
Filename: pool/main/x/xarray-sentinel/python3-xarray-sentinel_0.9.5+ds-3_all.deb