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-s1-2023.5.5.tar.gz (32.0 kB view details)

Uploaded Source

Built Distribution

xarray_safe_s1-2023.5.5-py3-none-any.whl (21.9 kB view details)

Uploaded Python 3

File details

Details for the file xarray-safe-s1-2023.5.5.tar.gz.

File metadata

  • Download URL: xarray-safe-s1-2023.5.5.tar.gz
  • Upload date:
  • Size: 32.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.11.3

File hashes

Hashes for xarray-safe-s1-2023.5.5.tar.gz
Algorithm Hash digest
SHA256 fe5216bc770e66c5ab51d5d246c2263029b675d0a81d09aada9a7a1adbaa6f76
MD5 a42f8b097fa673db23f7455cebf2c3ab
BLAKE2b-256 fd41cabc98ef9c74f8a63bd636454b1f1e1a5a268e096c8e570ce87883dde2cc

See more details on using hashes here.

File details

Details for the file xarray_safe_s1-2023.5.5-py3-none-any.whl.

File metadata

File hashes

Hashes for xarray_safe_s1-2023.5.5-py3-none-any.whl
Algorithm Hash digest
SHA256 28074728710c3985b4d58a778d6f45e7de188bb0d74e0b1cd490e7e699246732
MD5 40bb41621e930028f7c3ffb0aacb3aef
BLAKE2b-256 d65925d56647da60bfd820c31e10a5f07df533148df8a891218307661f5a8b1f

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