Getting Started

This tutorial shows some examples of how to use cubo:

import cubo

Create a cube with an edge size of 32 pixels and a resolution of 10 m from the Sentinel-2 L2A Collection of Planetary Computer given a pair of coordinates and start and end dates using just the RGB bands:

da = cubo.create(
    lat=50,
    lon=10,
    collection="sentinel-2-l2a",
    bands=["B02","B03","B04"],
    start_date="2021-06-01",
    end_date="2021-06-10",
    edge_size=32,
    resolution=10,
)
da

<xarray.DataArray 'sentinel-2-l2a' (time: 3, band: 3, y: 32, x: 32)>
dask.array<fetch_raster_window, shape=(3, 3, 32, 32), dtype=float64, chunksize=(1, 1, 32, 32), chunktype=numpy.ndarray>
Coordinates: (12/46)
  * time                                     (time) datetime64[ns] 2021-06-05...
    id                                       (time) <U54 'S2A_MSIL2A_20210605...
  * band                                     (band) <U3 'B02' 'B03' 'B04'
  * x                                        (x) float64 5.715e+05 ... 5.718e+05
  * y                                        (y) float64 5.539e+06 ... 5.539e+06
    s2:datastrip_id                          (time) <U64 'S2A_OPER_MSI_L2A_DS...
    ...                                       ...
    proj:transform                           object {0.0, 5600040.0, 10.0, 49...
    proj:bbox                                object {5490240.0, 5600040.0, 60...
    common_name                              (band) <U5 'blue' 'green' 'red'
    center_wavelength                        (band) float64 0.49 0.56 0.665
    full_width_half_max                      (band) float64 0.098 0.045 0.038
    epsg                                     <U10 'EPSG:32632'
Attributes:
    collection:           sentinel-2-l2a
    stac:                 https://planetarycomputer.microsoft.com/api/stac/v1
    epsg:                 EPSG:32632
    resolution:           10
    edge_size:            32
    central_lat:          50
    central_lon:          10
    central_y:            5539109.815298798
    central_x:            571666.4475034359
    time_coverage_start:  2021-06-01
    time_coverage_end:    2021-06-10

xarray.DataArray

'sentinel-2-l2a'

• time: 3
• band: 3
• y: 32
• x: 32

• dask.array<chunksize=(1, 1, 32, 32), meta=np.ndarray>

  Array Chunk Bytes 72.00 kiB 8.00 kiB Shape (3, 3, 32, 32) (1, 1, 32, 32) Count 28 Tasks 9 Chunks Type float64 numpy.ndarray

• Coordinates: (46)
  • time
    (time)
    datetime64[ns]
    2021-06-05T10:20:21.024000 ... 2...

    array(['2021-06-05T10:20:21.024000000', '2021-06-08T10:30:21.024000000',
           '2021-06-10T10:15:59.024000000'], dtype='datetime64[ns]')

  • id
    (time)
    <U54
    'S2A_MSIL2A_20210605T102021_R065...

    array(['S2A_MSIL2A_20210605T102021_R065_T32UNA_20210606T150833',
           'S2A_MSIL2A_20210608T103021_R108_T32UNA_20210612T171636',
           'S2B_MSIL2A_20210610T101559_R065_T32UNA_20210623T112147'],
          dtype='<U54')

  • band
    (band)
    <U3
    'B02' 'B03' 'B04'

    array(['B02', 'B03', 'B04'], dtype='<U3')

  • x
    (x)
    float64
    5.715e+05 5.715e+05 ... 5.718e+05

    array([571510., 571520., 571530., 571540., 571550., 571560., 571570., 571580.,
           571590., 571600., 571610., 571620., 571630., 571640., 571650., 571660.,
           571670., 571680., 571690., 571700., 571710., 571720., 571730., 571740.,
           571750., 571760., 571770., 571780., 571790., 571800., 571810., 571820.])

  • y
    (y)
    float64
    5.539e+06 5.539e+06 ... 5.539e+06

    array([5539270., 5539260., 5539250., 5539240., 5539230., 5539220., 5539210.,
           5539200., 5539190., 5539180., 5539170., 5539160., 5539150., 5539140.,
           5539130., 5539120., 5539110., 5539100., 5539090., 5539080., 5539070.,
           5539060., 5539050., 5539040., 5539030., 5539020., 5539010., 5539000.,
           5538990., 5538980., 5538970., 5538960.])

  • s2:datastrip_id
    (time)
    <U64
    'S2A_OPER_MSI_L2A_DS_ESRI_202106...

    array(['S2A_OPER_MSI_L2A_DS_ESRI_20210606T150834_S20210605T102024_N03.00',
           'S2A_OPER_MSI_L2A_DS_ESRI_20210612T171637_S20210608T103106_N03.00',
           'S2B_OPER_MSI_L2A_DS_ESRI_20210623T112149_S20210610T102220_N03.00'],
          dtype='<U64')

  • platform
    (time)
    <U11
    'Sentinel-2A' ... 'Sentinel-2B'

    array(['Sentinel-2A', 'Sentinel-2A', 'Sentinel-2B'], dtype='<U11')

  • sat:orbit_state
    ()
    <U10
    'descending'

    array('descending', dtype='<U10')

  • s2:granule_id
    (time)
    <U62
    'S2A_OPER_MSI_L2A_TL_ESRI_202106...

    array(['S2A_OPER_MSI_L2A_TL_ESRI_20210606T150834_A031093_T32UNA_N03.00',
           'S2A_OPER_MSI_L2A_TL_ESRI_20210612T171637_A031136_T32UNA_N03.00',
           'S2B_OPER_MSI_L2A_TL_ESRI_20210623T112149_A022256_T32UNA_N03.00'],
          dtype='<U62')

  • s2:product_type
    ()
    <U7
    'S2MSI2A'

    array('S2MSI2A', dtype='<U7')

  • s2:medium_proba_clouds_percentage
    (time)
    float64
    15.12 9.686 4.986

    array([15.121482,  9.685916,  4.985781])

  • proj:epsg
    ()
    int64
    32632

    array(32632)

  • s2:datatake_type
    ()
    <U8
    'INS-NOBS'

    array('INS-NOBS', dtype='<U8')

  • s2:vegetation_percentage
    (time)
    float64
    5.111 4.171 50.56

    array([ 5.110759,  4.171185, 50.558001])

  • s2:generation_time
    (time)
    <U27
    '2021-06-06T15:08:33.313386Z' .....

    array(['2021-06-06T15:08:33.313386Z', '2021-06-12T17:16:36.232977Z',
           '2021-06-23T11:21:47.786044Z'], dtype='<U27')

  • s2:mean_solar_zenith
    (time)
    float64
    29.33 28.45 28.96

    array([29.32528966, 28.44978445, 28.96161993])

  • s2:cloud_shadow_percentage
    (time)
    float64
    0.04842 0.04583 1.916

    array([0.048421, 0.045829, 1.915964])

  • s2:saturated_defective_pixel_percentage
    ()
    float64
    0.0

    array(0.)

  • s2:datatake_id
    (time)
    <U34
    'GS2A_20210605T102021_031093_N03...

    array(['GS2A_20210605T102021_031093_N03.00',
           'GS2A_20210608T103021_031136_N03.00',
           'GS2B_20210610T101559_022256_N03.00'], dtype='<U34')

  • s2:processing_baseline
    ()
    <U5
    '03.00'

    array('03.00', dtype='<U5')

  • eo:cloud_cover
    (time)
    float64
    89.79 88.56 40.51

    array([89.790007, 88.55754 , 40.512915])

  • s2:product_uri
    (time)
    <U65
    'S2A_MSIL2A_20210605T102021_N030...

    array(['S2A_MSIL2A_20210605T102021_N0300_R065_T32UNA_20210606T150833.SAFE',
           'S2A_MSIL2A_20210608T103021_N0300_R108_T32UNA_20210612T171636.SAFE',
           'S2B_MSIL2A_20210610T101559_N0300_R065_T32UNA_20210623T112147.SAFE'],
          dtype='<U65')

  • s2:dark_features_percentage
    (time)
    float64
    0.02521 0.01036 0.217

    array([0.025207, 0.010362, 0.216976])

  • constellation
    ()
    <U10
    'Sentinel 2'

    array('Sentinel 2', dtype='<U10')

  • s2:nodata_pixel_percentage
    (time)
    float64
    1.899 0.1005 1.604

    array([1.899254, 0.100494, 1.60379 ])

  • s2:high_proba_clouds_percentage
    (time)
    float64
    67.14 78.68 11.69

    array([67.142725, 78.678644, 11.689811])

  • s2:thin_cirrus_percentage
    (time)
    float64
    7.526 0.193 23.84

    array([ 7.525799,  0.19298 , 23.837322])

  • sat:relative_orbit
    (time)
    int64
    65 108 65

    array([ 65, 108,  65])

  • s2:not_vegetated_percentage
    (time)
    float64
    1.175 0.2093 4.148

    array([1.174753, 0.209317, 4.148413])

  • s2:mean_solar_azimuth
    (time)
    float64
    154.7 158.8 154.0

    array([154.69562348, 158.8462215 , 153.98559865])

  • instruments
    ()
    <U3
    'msi'

    array('msi', dtype='<U3')

  • s2:degraded_msi_data_percentage
    ()
    float64
    0.0

    array(0.)

  • s2:mgrs_tile
    ()
    <U5
    '32UNA'

    array('32UNA', dtype='<U5')

  • s2:water_percentage
    (time)
    float64
    0.001556 0.000953 0.1319

    array([0.001556, 0.000953, 0.13193 ])

  • s2:snow_ice_percentage
    (time)
    float64
    0.2739 2.117 0.2989

    array([0.27387 , 2.116589, 0.298894])

  • s2:reflectance_conversion_factor
    (time)
    float64
    0.9724 0.9716 0.971

    array([0.97240967, 0.97155165, 0.97102521])

  • s2:unclassified_percentage
    (time)
    float64
    3.575 4.888 2.217

    array([3.575423, 4.888221, 2.216908])

  • gsd
    ()
    float64
    10.0

    array(10.)

  • proj:shape
    ()
    object
    {10980}

    array({10980}, dtype=object)

  • title
    (band)
    <U20
    'Band 2 - Blue - 10m' ... 'Band ...

    array(['Band 2 - Blue - 10m', 'Band 3 - Green - 10m',
           'Band 4 - Red - 10m'], dtype='<U20')

  • proj:transform
    ()
    object
    {0.0, 5600040.0, 10.0, 499980.0,...

    array({0.0, 5600040.0, 10.0, 499980.0, -10.0}, dtype=object)

  • proj:bbox
    ()
    object
    {5490240.0, 5600040.0, 609780.0,...

    array({5490240.0, 5600040.0, 609780.0, 499980.0}, dtype=object)

  • common_name
    (band)
    <U5
    'blue' 'green' 'red'

    array(['blue', 'green', 'red'], dtype='<U5')

  • center_wavelength
    (band)
    float64
    0.49 0.56 0.665

    array([0.49 , 0.56 , 0.665])

  • full_width_half_max
    (band)
    float64
    0.098 0.045 0.038

    array([0.098, 0.045, 0.038])

  • epsg
    ()
    <U10
    'EPSG:32632'

    array('EPSG:32632', dtype='<U10')

• Attributes: (11)

  collection :

  sentinel-2-l2a

  stac :

  https://planetarycomputer.microsoft.com/api/stac/v1

  epsg :

  EPSG:32632

  resolution :

  10

  edge_size :

  32

  central_lat :

  50

  central_lon :

  10

  central_y :

  5539109.815298798

  central_x :

  571666.4475034359

  time_coverage_start :

  2021-06-01

  time_coverage_end :

  2021-06-10

Create a cube with an edge size of 128 pixels and a resolution of 20 m from the Sentinel-2 L2A Collection of Element84 given a pair of coordinates and start and end dates using just the Red Edge bands:

da = cubo.create(
    lat=4.31,
    lon=-76.2,
    collection="sentinel-s2-l2a-cogs",
    bands=["B05","B06","B07"],
    start_date="2020-01-01",
    end_date="2020-06-01",
    edge_size=128,
    resolution=20,
    stac="https://earth-search.aws.element84.com/v0"
)
da

<xarray.DataArray 'sentinel-s2-l2a-cogs' (time: 31, band: 3, y: 128, x: 128)>
dask.array<fetch_raster_window, shape=(31, 3, 128, 128), dtype=float64, chunksize=(1, 1, 128, 128), chunktype=numpy.ndarray>
Coordinates: (12/26)
  * time                        (time) datetime64[ns] 2020-01-02T15:41:55 ......
    id                          (time) <U24 'S2A_18NUK_20200102_0_L2A' ... 'S...
  * band                        (band) <U3 'B05' 'B06' 'B07'
  * x                           (x) float64 3.656e+05 3.656e+05 ... 3.681e+05
  * y                           (y) float64 4.778e+05 4.778e+05 ... 4.752e+05
    data_coverage               (time) object 77.62 77.37 77.69 ... None None
    ...                          ...
    sentinel:product_id         (time) <U60 'S2A_MSIL2A_20200102T153611_N0213...
    sentinel:latitude_band      <U1 'N'
    proj:shape                  object {5490}
    title                       (band) <U6 'Band 5' 'Band 6' 'Band 7'
    proj:transform              object {0, 300000, 1, 500040, -20, 20}
    epsg                        <U10 'EPSG:32618'
Attributes:
    collection:           sentinel-s2-l2a-cogs
    stac:                 https://earth-search.aws.element84.com/v0
    epsg:                 EPSG:32618
    resolution:           20
    edge_size:            128
    central_lat:          4.31
    central_lon:          -76.2
    central_y:            476498.32356558647
    central_x:            366835.4548862558
    time_coverage_start:  2020-01-01
    time_coverage_end:    2020-06-01

xarray.DataArray

'sentinel-s2-l2a-cogs'

• time: 31
• band: 3
• y: 128
• x: 128

• dask.array<chunksize=(1, 1, 128, 128), meta=np.ndarray>

  Array Chunk Bytes 11.62 MiB 128.00 kiB Shape (31, 3, 128, 128) (1, 1, 128, 128) Count 280 Tasks 93 Chunks Type float64 numpy.ndarray

• Coordinates: (26)
  • time
    (time)
    datetime64[ns]
    2020-01-02T15:41:55 ... 2020-05-...

    array(['2020-01-02T15:41:55.000000000', '2020-01-07T15:41:55.000000000',
           '2020-01-12T15:41:55.000000000', '2020-01-17T15:41:54.000000000',
           '2020-01-22T15:41:54.000000000', '2020-01-27T15:41:53.000000000',
           '2020-02-01T15:41:53.000000000', '2020-02-06T15:41:54.000000000',
           '2020-02-11T15:41:53.000000000', '2020-02-16T15:41:56.000000000',
           '2020-02-21T15:41:55.000000000', '2020-02-26T15:41:57.000000000',
           '2020-03-02T15:41:56.000000000', '2020-03-07T15:41:58.000000000',
           '2020-03-12T15:41:57.000000000', '2020-03-17T15:41:58.000000000',
           '2020-03-22T15:41:57.000000000', '2020-03-27T15:41:58.000000000',
           '2020-04-01T15:41:56.000000000', '2020-04-06T15:41:57.000000000',
           '2020-04-11T15:41:59.000000000', '2020-04-16T15:41:56.000000000',
           '2020-04-21T15:42:01.000000000', '2020-04-26T15:41:55.000000000',
           '2020-05-01T15:42:03.000000000', '2020-05-06T15:41:58.000000000',
           '2020-05-11T15:42:05.000000000', '2020-05-16T15:42:00.000000000',
           '2020-05-21T15:42:06.000000000', '2020-05-26T15:42:01.000000000',
           '2020-05-31T15:42:07.000000000'], dtype='datetime64[ns]')

  • id
    (time)
    <U24
    'S2A_18NUK_20200102_0_L2A' ... '...

    array(['S2A_18NUK_20200102_0_L2A', 'S2B_18NUK_20200107_0_L2A',
           'S2A_18NUK_20200112_0_L2A', 'S2B_18NUK_20200117_0_L2A',
           'S2A_18NUK_20200122_0_L2A', 'S2B_18NUK_20200127_0_L2A',
           'S2A_18NUK_20200201_0_L2A', 'S2B_18NUK_20200206_0_L2A',
           'S2A_18NUK_20200211_0_L2A', 'S2B_18NUK_20200216_0_L2A',
           'S2A_18NUK_20200221_0_L2A', 'S2B_18NUK_20200226_0_L2A',
           'S2A_18NUK_20200302_0_L2A', 'S2B_18NUK_20200307_0_L2A',
           'S2A_18NUK_20200312_0_L2A', 'S2B_18NUK_20200317_0_L2A',
           'S2A_18NUK_20200322_0_L2A', 'S2B_18NUK_20200327_0_L2A',
           'S2A_18NUK_20200401_0_L2A', 'S2B_18NUK_20200406_0_L2A',
           'S2A_18NUK_20200411_0_L2A', 'S2B_18NUK_20200416_0_L2A',
           'S2A_18NUK_20200421_0_L2A', 'S2B_18NUK_20200426_0_L2A',
           'S2A_18NUK_20200501_0_L2A', 'S2B_18NUK_20200506_0_L2A',
           'S2A_18NUK_20200511_0_L2A', 'S2B_18NUK_20200516_0_L2A',
           'S2A_18NUK_20200521_0_L2A', 'S2B_18NUK_20200526_0_L2A',
           'S2A_18NUK_20200531_0_L2A'], dtype='<U24')

  • band
    (band)
    <U3
    'B05' 'B06' 'B07'

    array(['B05', 'B06', 'B07'], dtype='<U3')

  • x
    (x)
    float64
    3.656e+05 3.656e+05 ... 3.681e+05

    array([365560., 365580., 365600., 365620., 365640., 365660., 365680., 365700.,
           365720., 365740., 365760., 365780., 365800., 365820., 365840., 365860.,
           365880., 365900., 365920., 365940., 365960., 365980., 366000., 366020.,
           366040., 366060., 366080., 366100., 366120., 366140., 366160., 366180.,
           366200., 366220., 366240., 366260., 366280., 366300., 366320., 366340.,
           366360., 366380., 366400., 366420., 366440., 366460., 366480., 366500.,
           366520., 366540., 366560., 366580., 366600., 366620., 366640., 366660.,
           366680., 366700., 366720., 366740., 366760., 366780., 366800., 366820.,
           366840., 366860., 366880., 366900., 366920., 366940., 366960., 366980.,
           367000., 367020., 367040., 367060., 367080., 367100., 367120., 367140.,
           367160., 367180., 367200., 367220., 367240., 367260., 367280., 367300.,
           367320., 367340., 367360., 367380., 367400., 367420., 367440., 367460.,
           367480., 367500., 367520., 367540., 367560., 367580., 367600., 367620.,
           367640., 367660., 367680., 367700., 367720., 367740., 367760., 367780.,
           367800., 367820., 367840., 367860., 367880., 367900., 367920., 367940.,
           367960., 367980., 368000., 368020., 368040., 368060., 368080., 368100.])

  • y
    (y)
    float64
    4.778e+05 4.778e+05 ... 4.752e+05

    array([477780., 477760., 477740., 477720., 477700., 477680., 477660., 477640.,
           477620., 477600., 477580., 477560., 477540., 477520., 477500., 477480.,
           477460., 477440., 477420., 477400., 477380., 477360., 477340., 477320.,
           477300., 477280., 477260., 477240., 477220., 477200., 477180., 477160.,
           477140., 477120., 477100., 477080., 477060., 477040., 477020., 477000.,
           476980., 476960., 476940., 476920., 476900., 476880., 476860., 476840.,
           476820., 476800., 476780., 476760., 476740., 476720., 476700., 476680.,
           476660., 476640., 476620., 476600., 476580., 476560., 476540., 476520.,
           476500., 476480., 476460., 476440., 476420., 476400., 476380., 476360.,
           476340., 476320., 476300., 476280., 476260., 476240., 476220., 476200.,
           476180., 476160., 476140., 476120., 476100., 476080., 476060., 476040.,
           476020., 476000., 475980., 475960., 475940., 475920., 475900., 475880.,
           475860., 475840., 475820., 475800., 475780., 475760., 475740., 475720.,
           475700., 475680., 475660., 475640., 475620., 475600., 475580., 475560.,
           475540., 475520., 475500., 475480., 475460., 475440., 475420., 475400.,
           475380., 475360., 475340., 475320., 475300., 475280., 475260., 475240.])

  • data_coverage
    (time)
    object
    77.62 77.37 77.69 ... None None

    array([77.62, 77.37, 77.69, None, None, 77.71, 77.89, 77.56, None, 77.38,
           77.69, 77.27, 77.38, None, 77.21, None, 77.09, 77.26, None, None,
           None, 77.65, None, None, None, None, 75.35, 76.8, 75.2, None, None],
          dtype=object)

  • created
    (time)
    <U24
    '2020-09-19T09:33:31.515Z' ... '...

    array(['2020-09-19T09:33:31.515Z', '2020-09-19T06:18:29.938Z',
           '2020-09-20T07:29:35.266Z', '2020-08-19T17:15:35.698Z',
           '2020-08-19T23:08:58.048Z', '2020-09-18T23:54:08.350Z',
           '2020-09-05T09:22:09.322Z', '2020-09-19T02:26:42.847Z',
           '2020-08-19T23:10:22.222Z', '2020-09-19T08:23:27.875Z',
           '2020-09-24T06:29:30.936Z', '2020-08-31T15:21:43.631Z',
           '2020-08-26T06:24:40.190Z', '2020-08-19T23:00:09.375Z',
           '2020-08-26T06:26:15.139Z', '2020-08-19T19:01:27.141Z',
           '2020-08-31T18:38:40.101Z', '2020-09-24T06:34:15.181Z',
           '2020-08-19T17:04:06.299Z', '2020-08-19T17:12:22.027Z',
           '2020-08-19T23:09:59.906Z', '2020-09-19T04:16:18.325Z',
           '2020-09-05T10:24:14.441Z', '2020-08-19T23:09:34.086Z',
           '2020-08-19T23:02:22.766Z', '2020-09-18T23:59:24.559Z',
           '2020-09-19T03:47:52.512Z', '2020-08-31T17:42:45.052Z',
           '2020-08-31T16:56:32.730Z', '2020-08-19T17:10:35.195Z',
           '2020-08-19T19:12:17.939Z'], dtype='<U24')

  • eo:cloud_cover
    (time)
    float64
    54.59 30.89 28.9 ... 88.73 60.54

    array([54.59, 30.89, 28.9 , 26.37, 98.65, 48.3 , 63.18, 13.48, 43.3 ,
           38.76, 99.88, 96.16, 52.73, 87.03, 67.28, 58.02,  7.82, 60.66,
           89.1 , 93.14, 99.99, 58.59, 77.71, 49.4 , 85.96, 94.33, 89.92,
           89.75, 81.58, 88.73, 60.54])

  • platform
    (time)
    <U11
    'sentinel-2a' ... 'sentinel-2a'

    array(['sentinel-2a', 'sentinel-2b', 'sentinel-2a', 'sentinel-2b',
           'sentinel-2a', 'sentinel-2b', 'sentinel-2a', 'sentinel-2b',
           'sentinel-2a', 'sentinel-2b', 'sentinel-2a', 'sentinel-2b',
           'sentinel-2a', 'sentinel-2b', 'sentinel-2a', 'sentinel-2b',
           'sentinel-2a', 'sentinel-2b', 'sentinel-2a', 'sentinel-2b',
           'sentinel-2a', 'sentinel-2b', 'sentinel-2a', 'sentinel-2b',
           'sentinel-2a', 'sentinel-2b', 'sentinel-2a', 'sentinel-2b',
           'sentinel-2a', 'sentinel-2b', 'sentinel-2a'], dtype='<U11')

  • constellation
    ()
    <U10
    'sentinel-2'

    array('sentinel-2', dtype='<U10')

  • updated
    (time)
    <U24
    '2020-09-19T09:33:31.515Z' ... '...

    array(['2020-09-19T09:33:31.515Z', '2020-09-19T06:18:29.938Z',
           '2020-09-20T07:29:35.266Z', '2020-08-19T17:15:35.698Z',
           '2020-08-19T23:08:58.048Z', '2020-09-18T23:54:08.350Z',
           '2020-09-05T09:22:09.322Z', '2020-09-19T02:26:42.847Z',
           '2020-08-19T23:10:22.222Z', '2020-09-19T08:23:27.875Z',
           '2020-09-24T06:29:30.936Z', '2020-08-31T15:21:43.631Z',
           '2020-08-26T06:24:40.190Z', '2020-08-19T23:00:09.375Z',
           '2020-08-26T06:26:15.139Z', '2020-08-19T19:01:27.141Z',
           '2020-08-31T18:38:40.101Z', '2020-09-24T06:34:15.181Z',
           '2020-08-19T17:04:06.299Z', '2020-08-19T17:12:22.027Z',
           '2020-08-19T23:09:59.906Z', '2020-09-19T04:16:18.325Z',
           '2020-09-05T10:24:14.441Z', '2020-08-19T23:09:34.086Z',
           '2020-08-19T23:02:22.766Z', '2020-09-18T23:59:24.559Z',
           '2020-09-19T03:47:52.512Z', '2020-08-31T17:42:45.052Z',
           '2020-08-31T16:56:32.730Z', '2020-08-19T17:10:35.195Z',
           '2020-08-19T19:12:17.939Z'], dtype='<U24')

  • view:off_nadir
    ()
    int64
    0

    array(0)

  • sentinel:data_coverage
    (time)
    float64
    77.62 77.37 77.69 ... 76.49 75.28

    array([77.62, 77.37, 77.69, 77.47, 77.79, 77.71, 77.89, 77.56, 77.89,
           77.38, 77.69, 77.27, 77.38, 77.27, 77.21, 77.28, 77.09, 77.26,
           77.01, 77.41, 76.54, 77.65, 76.04, 77.65, 75.62, 77.12, 75.35,
           76.8 , 75.2 , 76.49, 75.28])

  • proj:epsg
    ()
    int64
    32618

    array(32618)

  • sentinel:grid_square
    ()
    <U2
    'UK'

    array('UK', dtype='<U2')

  • sentinel:sequence
    ()
    <U1
    '0'

    array('0', dtype='<U1')

  • sentinel:utm_zone
    ()
    int64
    18

    array(18)

  • gsd
    ()
    int64
    10

    array(10)

  • sentinel:valid_cloud_cover
    ()
    bool
    True

    array(True)

  • instruments
    ()
    <U3
    'msi'

    array('msi', dtype='<U3')

  • sentinel:product_id
    (time)
    <U60
    'S2A_MSIL2A_20200102T153611_N021...

    array(['S2A_MSIL2A_20200102T153611_N0213_R068_T18NUK_20200102T193711',
           'S2B_MSIL2A_20200107T153619_N0213_R068_T18NUK_20200107T193244',
           'S2A_MSIL2A_20200112T153611_N0213_R068_T18NUK_20200112T194333',
           'S2B_MSIL2A_20200117T153619_N0213_R068_T18NUK_20200117T193707',
           'S2A_MSIL2A_20200122T153611_N0213_R068_T18NUK_20200122T194421',
           'S2B_MSIL2A_20200127T153609_N0213_R068_T18NUK_20200127T194219',
           'S2A_MSIL2A_20200201T153611_N0213_R068_T18NUK_20200201T194116',
           'S2B_MSIL2A_20200206T153619_N0214_R068_T18NUK_20200206T194512',
           'S2A_MSIL2A_20200211T153611_N0214_R068_T18NUK_20200211T194219',
           'S2B_MSIL2A_20200216T153619_N0214_R068_T18NUK_20200216T193959',
           'S2A_MSIL2A_20200221T153611_N0214_R068_T18NUK_20200221T194112',
           'S2B_MSIL2A_20200226T153619_N0214_R068_T18NUK_20200226T211218',
           'S2A_MSIL2A_20200302T153611_N0214_R068_T18NUK_20200302T194642',
           'S2B_MSIL2A_20200307T153619_N0214_R068_T18NUK_20200307T210833',
           'S2A_MSIL2A_20200312T153621_N0214_R068_T18NUK_20200312T194242',
           'S2B_MSIL2A_20200317T153619_N0214_R068_T18NUK_20200317T204513',
           'S2A_MSIL2A_20200322T153621_N0214_R068_T18NUK_20200322T193833',
           'S2B_MSIL2A_20200327T153619_N0214_R068_T18NUK_20200327T193714',
           'S2A_MSIL2A_20200401T153621_N0214_R068_T18NUK_20200401T212630',
           'S2B_MSIL2A_20200406T153619_N0214_R068_T18NUK_20200406T210507',
           'S2A_MSIL2A_20200411T153621_N0214_R068_T18NUK_20200411T212748',
           'S2B_MSIL2A_20200416T153619_N0214_R068_T18NUK_20200416T193858',
           'S2A_MSIL2A_20200421T153621_N0214_R068_T18NUK_20200421T193928',
           'S2B_MSIL2A_20200426T153619_N0214_R068_T18NUK_20200426T210015',
           'S2A_MSIL2A_20200501T153621_N0214_R068_T18NUK_20200501T212528',
           'S2B_MSIL2A_20200506T153619_N0214_R068_T18NUK_20200506T213751',
           'S2A_MSIL2A_20200511T153621_N0214_R068_T18NUK_20200511T193952',
           'S2B_MSIL2A_20200516T153619_N0214_R068_T18NUK_20200516T194113',
           'S2A_MSIL2A_20200521T153631_N0214_R068_T18NUK_20200521T193716',
           'S2B_MSIL2A_20200526T153619_N0214_R068_T18NUK_20200526T205942',
           'S2A_MSIL2A_20200531T153631_N0214_R068_T18NUK_20200531T212643'],
          dtype='<U60')

  • sentinel:latitude_band
    ()
    <U1
    'N'

    array('N', dtype='<U1')

  • proj:shape
    ()
    object
    {5490}

    array({5490}, dtype=object)

  • title
    (band)
    <U6
    'Band 5' 'Band 6' 'Band 7'

    array(['Band 5', 'Band 6', 'Band 7'], dtype='<U6')

  • proj:transform
    ()
    object
    {0, 300000, 1, 500040, -20, 20}

    array({0, 300000, 1, 500040, -20, 20}, dtype=object)

  • epsg
    ()
    <U10
    'EPSG:32618'

    array('EPSG:32618', dtype='<U10')

• Attributes: (11)

  collection :

  sentinel-s2-l2a-cogs

  stac :

  https://earth-search.aws.element84.com/v0

  epsg :

  EPSG:32618

  resolution :

  20

  edge_size :

  128

  central_lat :

  4.31

  central_lon :

  -76.2

  central_y :

  476498.32356558647

  central_x :

  366835.4548862558

  time_coverage_start :

  2020-01-01

  time_coverage_end :

  2020-06-01

Create a cube with an edge size of 64 pixels and a resolution of 10 m from the Sentinel-2 L2A Collection of Planetary Computer given a pair of coordinates and start and end dates using just the RGB bands. Additionally filter the STAC search by cloud cover values lower than 10 percent:

da = cubo.create(
    lat=4.31,
    lon=-76.2,
    collection="sentinel-2-l2a",
    bands=["B02","B03","B04"],
    start_date="2021-01-01",
    end_date="2021-06-10",
    edge_size=64,
    resolution=10,
    query={"eo:cloud_cover": {"lt": 10}} # kwarg to pass
)
da