Skip to main content

No project description provided

Project description

Install test

xarray-safe-s1

Xarray Sentinel1 python SAFE files reader

Install

Conda

  1. Install xarray-safe-s1
conda create -n safe_s1
conda activate safe_s1
conda install -c conda-forge xarray-safe-s1

Pypi

  1. Install xarray-safe-s1
conda create -n safe_s1
conda activate safe_s1
pip install xarray-safe-s1
>>> from safe_s1 import Sentinel1Reader, sentinel1_xml_mappings
>>> filename = sentinel1_xml_mappings.get_test_file('S1A_IW_GRDH_1SDV_20170907T103020_20170907T103045_018268_01EB76_Z010.SAFE')
>>> Sentinel1Reader(filename).datatree

DataTree('None', parent=None)
├── DataTree('geolocationGrid')
│       Dimensions:         (line: 10, sample: 21)
│       Coordinates:
│         * line            (line) int64 0 2014 4028 6042 ... 12084 14098 16112 16777
│         * sample          (sample) int64 0 1260 2520 3780 ... 21420 22680 23940 25186
│       Data variables:
│           longitude       (line, sample) float64 -67.84 -67.96 -68.08 ... -70.4 -70.51
│           latitude        (line, sample) float64 20.73 20.75 20.77 ... 19.62 19.64
│           height          (line, sample) float64 8.405e-05 8.058e-05 ... 3.478e-05
│           azimuthTime     (line, sample) datetime64[ns] 2017-09-07T10:30:20.936147 ...
│           slantRangeTime  (line, sample) float64 0.005331 0.005375 ... 0.006382
│           incidenceAngle  (line, sample) float64 30.82 31.7 32.57 ... 44.71 45.36 46.0
│           elevationAngle  (line, sample) float64 27.5 28.27 29.02 ... 39.89 40.41
│       Attributes:
│           history:  longitude:\n  annotation/s1a.xml:\n  - /product/geolocationGrid...
├── DataTree('orbit')
│       Dimensions:     (time: 17)
│       Coordinates:
│         * time        (time) datetime64[ns] 2017-09-07T10:29:14.474905 ... 2017-09-...
│       Data variables:
│           velocity_x  (time) float64 -116.7 -154.1 -191.4 ... -628.1 -663.4 -698.6
│           velocity_y  (time) float64 -3.433e+03 -3.368e+03 ... -2.413e+03 -2.342e+03
│           velocity_z  (time) float64 -6.776e+03 -6.808e+03 ... -7.174e+03 -7.194e+03
│           position_x  (time) float64 2.892e+06 2.89e+06 ... 2.833e+06 2.826e+06
│           position_y  (time) float64 -5.782e+06 -5.816e+06 ... -6.222e+06 -6.246e+06
│           position_z  (time) float64 2.869e+06 2.801e+06 ... 1.82e+06 1.748e+06
│       Attributes:
│           orbit_pass:        Descending
│           platform_heading:  -167.7668824808032
│           frame:             Earth Fixed
│           history:           orbit:\n  annotation/s1a.xml:\n  - //product/generalAn...
├── DataTree('image')
│       Dimensions:                  (dim_0: 2)
│       Dimensions without coordinates: dim_0
│       Data variables: (12/14)
│           LineUtcTime              (dim_0) datetime64[ns] 2017-09-07T10:30:20.93640...
│           numberOfLines            int64 16778
│           numberOfSamples          int64 25187
│           azimuthPixelSpacing      float64 10.0
│           slantRangePixelSpacing   float64 10.0
│           groundRangePixelSpacing  float64 10.0
│           ...                       ...
│           slantRangeTime           float64 0.005331
│           swath_subswath           <U2 'IW'
│           radarFrequency           float64 5.405e+09
│           rangeSamplingRate        float64 6.435e+07
│           azimuthSteeringRate      float64 1.59
│           history                  <U824 'image:\n  annotation/s1a.xml:\n  - /produ...
├── DataTree('azimuth_fmrate')
│       Dimensions:                  (azimuthTime: 11)
│       Coordinates:
│         * azimuthTime              (azimuthTime) datetime64[ns] 2017-09-07T10:30:18...
│       Data variables:
│           t0                       (azimuthTime) float64 0.005331 ... 0.005331
│           azimuthFmRatePolynomial  (azimuthTime) object -2337.303489601216 + 448953...
│       Attributes:
│           history:  azimuth_fmrate:\n  annotation/s1a.xml:\n  - //product/generalAn...
├── DataTree('doppler_estimate')
│       Dimensions:                       (azimuthTime: 27, nb_fine_dce: 20)
│       Coordinates:
│         * azimuthTime                   (azimuthTime) datetime64[ns] 2017-09-07T10:...
│         * nb_fine_dce                   (nb_fine_dce) int64 0 1 2 3 4 ... 16 17 18 19
│       Data variables:
│           t0                            (azimuthTime) float64 0.005332 ... 0.005331
│           geometryDcPolynomial          (azimuthTime) object -1.070619 - 183.4602·x...
│           dataDcPolynomial              (azimuthTime) object -74.90705 + 85274.16·x...
│           fineDceAzimuthStartTime       (azimuthTime) datetime64[ns] 2017-09-07T10:...
│           fineDceAzimuthStopTime        (azimuthTime) datetime64[ns] 2017-09-07T10:...
│           dataDcRmsError                (azimuthTime) float64 6.181 6.181 ... 7.745
│           slantRangeTime                (azimuthTime, nb_fine_dce) float64 0.006021...
│           frequency                     (azimuthTime, nb_fine_dce) float64 -28.36 ....
│           dataDcRmsErrorAboveThreshold  (azimuthTime) bool False False ... False False
│       Attributes:
│           history:  doppler_estimate:\n  annotation/s1a.xml:\n  - /product/dopplerC...
├── DataTree('bursts')
│       Dimensions:          (burst: 0)
│       Dimensions without coordinates: burst
│       Data variables:
│           azimuthTime      (burst) float64 
│           linesPerBurst    int64 0
│           samplesPerBurst  int64 0
│       Attributes:
│           history:  bursts_grd:\n  annotation/s1a.xml:\n  - /product/swathTiming/li...
├── DataTree('calibration_luts')
│       Dimensions:     (line: 27, sample: 631, pol: 2)
│       Coordinates:
│         * line        (line) int64 0 671 1342 2013 2684 ... 15436 16107 16778 17449
│         * sample      (sample) int64 0 40 80 120 160 ... 25040 25080 25120 25160 25186
│         * pol         (pol) object 'VV' 'VH'
│       Data variables:
│           sigma0_lut  (pol, line, sample) float64 662.0 661.7 661.5 ... 558.9 558.8
│           gamma0_lut  (pol, line, sample) float64 613.4 613.1 612.7 ... 465.8 465.7
├── DataTree('noise_azimuth_raw')
│       Dimensions:       (swath: 0, pol: 2)
│       Coordinates:
│         * swath         (swath) float64 
│         * pol           (pol) object 'VV' 'VH'
│       Data variables:
│           line_start    (pol, swath) int64 
│           line_stop     (pol, swath) int64 
│           sample_start  (pol, swath) int64 
│           sample_stop   (pol, swath) int64 
│       Attributes:
│           history:  noise_lut_azi_raw_grd:\n  annotation/calibration/noise.xml:\n  ...
└── DataTree('noise_range_raw')
        Dimensions:    (line: 27, sample: 634, pol: 2)
        Coordinates:
          * line       (line) int64 0 671 1342 2013 2684 ... 15433 16104 16775 16777
          * sample     (sample) int64 0 40 80 120 160 ... 25028 25068 25108 25148 25186
          * pol        (pol) object 'VV' 'VH'
        Data variables:
            noise_lut  (pol, line, sample) float64 1.641e+03 1.62e+03 ... 0.0 0.0

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

xarray-safe-s1-1.0.4.tar.gz (30.1 kB view details)

Uploaded Source

Built Distribution

xarray_safe_s1-1.0.4-py3-none-any.whl (21.5 kB view details)

Uploaded Python 3

File details

Details for the file xarray-safe-s1-1.0.4.tar.gz.

File metadata

  • Download URL: xarray-safe-s1-1.0.4.tar.gz
  • Upload date:
  • Size: 30.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.8

File hashes

Hashes for xarray-safe-s1-1.0.4.tar.gz
Algorithm Hash digest
SHA256 d64c34dbc3251b758bc2bdece0d47217ec3a170a2733751f1783ab429250f8e5
MD5 cebc76ed2130b6246563175aaacfc329
BLAKE2b-256 3f9ab643472bd7071eccea318f70cc7bb76cb5c218ad206ffe24d0c7780c9c61

See more details on using hashes here.

File details

Details for the file xarray_safe_s1-1.0.4-py3-none-any.whl.

File metadata

File hashes

Hashes for xarray_safe_s1-1.0.4-py3-none-any.whl
Algorithm Hash digest
SHA256 bf548321e046c406563f31e389fbe83fb9f5e6c2e3ce992f1952fcc6c8148107
MD5 a921d2cdf94deddf986ee54293f851ae
BLAKE2b-256 71d2e570877071dadc48da0896bdd3290b8153b7459854b883a4482552bb06c8

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page