{ 'other_metadata': { 'azimuth_steering_rate': 1.590368784,
'burst_id': 249411,
'downlink_information': { 'iw1': { 'azimuth_time': '2023-12-01_t17:06:32.765215',
'bit_error_count': { 'num_err_azimuth_beam_address': 0,
'num_err_baq_block_length': 0,
'num_err_baq_mode': 0,
'num_err_cal_mode': 0,
'num_err_cal_type': 0,
'num_err_calibration_beam_address': 0,
'num_err_data_take_id': 0,
'num_err_ecc_number': 0,
'num_err_elevation_beam_address': 0,
'num_err_instrument_config_id': 0,
'num_err_number_of_quads': 0,
'num_err_packet_count': 0,
'num_err_polarisation': 0,
'num_err_pri': 0,
'num_err_pri_count': 0,
'num_err_range_decimation': 0,
'num_err_rank': 0,
'num_err_rx_channel_id': 0,
'num_err_rx_gain': 0,
'num_err_sas_test_mode': 0,
'num_err_signal_type': 0,
'num_err_ssb_error_flag': 0,
'num_err_swap_flag': 0,
'num_err_swath_number': 0,
'num_err_swl': 0,
'num_err_swst': 0,
'num_err_sync_marker': 0,
'num_err_temp_comp': 7045,
'num_err_test_mode': 0,
'num_err_tx_pulse_number': 0,
'num_err_tx_pulse_start_frequency': 0,
'num_err_tx_ramp_rate': 0,
'num_isp_header_errors': 7045},
'downlink_values': { 'data_format': { 'baq_block_length': 256,
'calibration_format': 'decimation',
'echo_format': 'fdbaq',
'mean_bit_rate': 2.310737741536281e-05,
'noise_format': 'baq '
'5 '
'_bit'},
'data_take_id': 13888,
'ecc_number': 8,
'instrument_config_id': 7,
'pointing_status_list': { 'pointing_status': { 'aocs_op_mode': 'normal '
'_pointing '
'_mode',
'azimuth_time': '2023-12-01_t17:03:11.768038',
'pitch_error_flag': False,
'roll_error_flag': False,
'yaw_error_flag': False}},
'pri': 0.0005823674372819869,
'range_decimation': { 'decimation_filter_bandwidth': 56590000.0,
'filter_length': 36,
'sampling_frequency_after_decimation': 64345238.12571429},
'rank': 9,
'rx_channel_id': 1,
'rx_gain': -4.0,
'swath_number': 10,
'swl': { 'azimuth_time': '2023-12-01_t17:06:33.871477',
'value': 0.0003722952819698287},
'swst': [ { 'azimuth_time': '2023-12-01_t17:06:33.871477',
'value': 0.0001049161886644615},
{ 'azimuth_time': '2023-12-01_t17:06:39.388049',
'value': 0.0001063282145657354}],
'tx_pulse_length': 5.240481033595628e-05,
'tx_pulse_ramp_rate': 1078230321255.894,
'tx_pulse_start_frequency': -28251534.19637256},
'first_line_sensing_time': '2023-12-01_t17:03:12.531852',
'last_line_sensing_time': '2023-12-01_t17:03:40.304347',
'prf': 1717.128973878037}},
'eopf_category': 'eoproduct',
'history': {},
'image_information': { 'anchor_time': '2023-12-01_t17:03:11.740901',
'ascending_node_time': '2023-12-01_t16:55:03.746881',
'azimuth_frequency': 486.4863102995529,
'azimuth_pixel_spacing': 13.94679,
'azimuth_time_interval': 0.002055556299999998,
'image_statistics': { 'output_data_mean': { 'im': 0.02205186,
're': 0.0008846695},
'output_data_std_dev': { 'im': 38.98091,
're': 38.97432}},
'incidence_angle_mid_swath': 33.80824267937017,
'number_of_lines': 13509,
'number_of_samples': 22694,
'output_pixels': '16 bit '
'_signed '
'_integer',
'pixel_value': 'complex',
'product_composition': 'slice',
'product_first_line_utc_time': '2023-12-01_t17:06:35.521716',
'product_last_line_utc_time': '2023-12-01_t17:07:00.671447',
'range_pixel_spacing': 2.329562,
'slant_range_time': 0.005336535882737799,
'slice_list': { 'slice': [ { 'sensing_start_time': '2023-12-01_t17:03:12.531852',
'sensing_stop_time': '2023-12-01_t17:03:42.860657',
'slice_number': 1},
{ 'sensing_start_time': '2023-12-01_t17:03:37.356344',
'sensing_stop_time': '2023-12-01_t17:04:07.685149',
'slice_number': 2},
{ 'sensing_start_time': '2023-12-01_t17:04:02.180836',
'sensing_stop_time': '2023-12-01_t17:04:32.509641',
'slice_number': 3},
{ 'sensing_start_time': '2023-12-01_t17:04:27.005328',
'sensing_stop_time': '2023-12-01_t17:04:57.334133',
'slice_number': 4},
{ 'sensing_start_time': '2023-12-01_t17:04:51.829820',
'sensing_stop_time': '2023-12-01_t17:05:22.158625',
'slice_number': 5},
{ 'sensing_start_time': '2023-12-01_t17:05:19.412589',
'sensing_stop_time': '2023-12-01_t17:05:46.983117',
'slice_number': 6},
{ 'sensing_start_time': '2023-12-01_t17:05:44.237081',
'sensing_stop_time': '2023-12-01_t17:06:11.807609',
'slice_number': 7},
{ 'sensing_start_time': '2023-12-01_t17:06:09.061573',
'sensing_stop_time': '2023-12-01_t17:06:36.632101',
'slice_number': 8},
{ 'sensing_start_time': '2023-12-01_t17:06:33.886065',
'sensing_stop_time': '2023-12-01_t17:07:01.456593',
'slice_number': 9},
{ 'sensing_start_time': '2023-12-01_t17:06:58.710557',
'sensing_stop_time': '2023-12-01_t17:07:29.039362',
'slice_number': 10},
{ 'sensing_start_time': '2023-12-01_t17:07:23.535049',
'sensing_stop_time': '2023-12-01_t17:07:53.863854',
'slice_number': 11},
{ 'sensing_start_time': '2023-12-01_t17:07:48.359541',
'sensing_stop_time': '2023-12-01_t17:08:18.688346',
'slice_number': 12},
{ 'sensing_start_time': '2023-12-01_t17:08:13.184033',
'sensing_stop_time': '2023-12-01_t17:08:43.512838',
'slice_number': 13},
{ 'sensing_start_time': '2023-12-01_t17:08:38.008525',
'sensing_stop_time': '2023-12-01_t17:09:08.337330',
'slice_number': 14},
{ 'sensing_start_time': '2023-12-01_t17:09:02.833017',
'sensing_stop_time': '2023-12-01_t17:09:33.161822',
'slice_number': 15},
{ 'sensing_start_time': '2023-12-01_t17:09:27.657509',
'sensing_stop_time': '2023-12-01_t17:09:57.986314',
'slice_number': 16},
{ 'sensing_start_time': '2023-12-01_t17:09:52.482001',
'sensing_stop_time': '2023-12-01_t17:10:22.810806',
'slice_number': 17},
{ 'sensing_start_time': '2023-12-01_t17:10:17.306493',
'sensing_stop_time': '2023-12-01_t17:10:47.635298',
'slice_number': 18},
{ 'sensing_start_time': '2023-12-01_t17:10:42.130985',
'sensing_stop_time': '2023-12-01_t17:11:12.459790',
'slice_number': 19},
{ 'sensing_start_time': '2023-12-01_t17:11:06.955477',
'sensing_stop_time': '2023-12-01_t17:11:37.284282',
'slice_number': 20},
{ 'sensing_start_time': '2023-12-01_t17:11:31.779969',
'sensing_stop_time': '2023-12-01_t17:12:02.108774',
'slice_number': 21},
{ 'sensing_start_time': '2023-12-01_t17:11:59.362738',
'sensing_stop_time': '2023-12-01_t17:12:26.933266',
'slice_number': 22},
{ 'sensing_start_time': '2023-12-01_t17:12:24.187230',
'sensing_stop_time': '2023-12-01_t17:12:51.757758',
'slice_number': 23},
{ 'sensing_start_time': '2023-12-01_t17:12:49.011722',
'sensing_stop_time': '2023-12-01_t17:13:16.582250',
'slice_number': 24},
{ 'sensing_start_time': '2023-12-01_t17:13:13.836214',
'sensing_stop_time': '2023-12-01_t17:13:41.406742',
'slice_number': 25},
{ 'sensing_start_time': '2023-12-01_t17:13:38.660706',
'sensing_stop_time': '2023-12-01_t17:13:52.439850',
'slice_number': 26}]},
'slice_number': 9,
'zero_dop_minus_acq_time': 200.233363},
'platform_heading': -13.86607369052935,
'processing_information': { 'antenna_azimuth_element_pattern_applied': True,
'antenna_azimuth_pattern_applied': True,
'antenna_elevation_pattern_applied': True,
'application_lut_id': 'iw__default',
'attitude_data_file_used': False,
'attitude_source': 'downlink',
'bistatic_delay_correction_applied': True,
'chirp_source': 'nominal',
'dc_input_data': 'range '
'_compressed',
'dc_method': 'data '
'_analysis',
'detection_performed': False,
'ellipsoid_name': 'wgs84',
'ellipsoid_semi_major_axis': 6378137.0,
'ellipsoid_semi_minor_axis': 6356752.314245,
'input_dimensions': { 'azimuth_time': '2023-12-01_t17:06:33.886065',
'number_of_input_lines': 15010,
'number_of_input_samples': 23890,
'swath': 'iw1'},
'orbit_data_file_used': True,
'orbit_source': 'auxiliary',
'pg_source': 'extracted',
'range_spreading_loss_compensation_applied': True,
'raw_data_analysis_used': True,
'reference_range': 800000.0,
'rfi_mitigation_domain': 'time_and_frequency',
'rfi_mitigation_performed': 'based_on_noise_meas',
'rrf_spectrum': 'extended '
'_tapered',
'rx_variation_correction_applied': True,
'srgr_conversion_applied': False,
'swath_proc_params': { 'azimuth_processing': { 'look_bandwidth': 327.0,
'look_overlap': 0.0,
'number_of_looks': 1,
'processing_bandwidth': 327.0,
'total_bandwidth': 327.0,
'window_coefficient': 0.7,
'window_type': 'hamming'},
'processor_scaling_factor': 880278100000.0,
'range_processing': { 'look_bandwidth': 56500000.0,
'look_overlap': 0.0,
'number_of_looks': 1,
'processing_bandwidth': 56500000.0,
'total_bandwidth': 56504455.48389234,
'window_coefficient': 0.75,
'window_type': 'hamming'},
'swath': 'iw1'},
'thermal_noise_correction_performed': False,
'tops_filter_convention': 'only '
'_echo '
'_lines'},
'product_quality': { 'azimuth_time': '2023-12-01_t17:06:35.521716',
'doppler_centroid_quality': { 'dc_method': 'data '
'_analysis',
'doppler_centroid_uncertain_flag': False},
'downlink_quality': { 'chirp_source_used': 'nominal',
'downlink_gaps_in_input_data_significant_flag': False,
'downlink_missing_lines_significant_flag': False,
'i_input_data_mean': 0.1381503939628601,
'i_input_data_std_dev': 3.880460023880005,
'input_data_mean_outside_nominal_range_flag': False,
'input_data_st_dev_outside_nominal_range_flag': False,
'instrument_gaps_in_input_data_significant_flag': False,
'instrument_missing_lines_significant_flag': False,
'invalid_downlink_params_flag': True,
'mean_pg_product_amplitude': 0.6903647780418396,
'mean_pg_product_phase': -1.342014074325562,
'num_downlink_input_data_gaps': 0,
'num_downlink_input_missing_lines': 0,
'num_instrument_input_data_gaps': 0,
'num_instrument_input_missing_lines': 0,
'num_ssb_error_input_data_gaps': 0,
'num_ssb_error_input_missing_lines': 0,
'pg_product_derivation_failed_flag': False,
'pg_source_used': 'extracted',
'q_input_data_mean': 0.3798973858356476,
'q_input_data_std_dev': 3.75886607170105,
'replica_reconstruction_failed_flag': False,
'rrf_spectrum_used': 'extended '
'_tapered',
'ssb_error_gaps_in_input_data_significant_flag': False,
'ssb_error_missing_lines_significant_flag': False,
'std_dev_pg_product_amplitude': 0.004413188435137272,
'std_dev_pg_product_phase': 0.01838690228760242},
'image_quality': { 'output_data_mean': { 'im': 0.02205186,
're': 0.0008846695},
'output_data_mean_outside_nominal_range_flag': True,
'output_data_st_dev_outside_nominal_range_flag': True},
'product_quality_index': 0.0,
'raw_data_analysis_quality': { 'i_bias': 0.1381503939628601,
'i_bias_significance_flag': True,
'iq_gain_imbalance': 1.032348990440369,
'iq_gain_significance_flag': True,
'iq_quadrature_departure': 0.005993634928017855,
'iq_quadrature_departure_significance_flag': True,
'q_bias': 0.3798973858356476,
'q_bias_significance_flag': True}},
'projection': 'slant _range',
'pulse_repetition_frequency': '',
'radio_frequency_interference': {},
'range_sampling_rate': 64345238.12571428,
'raw_data_analysis': { 'raw_data_analysis': { 'azimuth_time': '2023-12-01_t17:06:32.765215',
'i_bias': 0.1381503939628601,
'iq_gain_imbalance': 1.032348990440369,
'iq_quadrature_departure': 0.005993634928017855,
'q_bias': 0.3798973858356476,
'support': { 'i_bias_lower_bound': -0.004488567821681499,
'i_bias_upper_bound': 0.004488567821681499,
'i_bias_used_for_correction': 0.2398381978273392,
'iq_gain_imbalance_used_for_correction': 0.9858453273773193,
'iq_gain_lower_bound': 0.9988433122634888,
'iq_gain_upper_bound': 1.00115704536438,
'iq_quadrature_departure_lower_bound': -0.8596398830413818,
'iq_quadrature_departure_upper_bound': 0.8716259002685547,
'iq_quadrature_departure_used_for_correction': 0.08416946977376938,
'q_bias_lower_bound': -0.004347919020801783,
'q_bias_upper_bound': 0.004347919020801783,
'q_bias_used_for_correction': 0.1212906986474991}}},
'timeliness_category': 'nrt-3h',
'title': 'Sentinel-1 L1 SLC Product'},
'stac_discovery': { 'assets': [],
'bbox': [],
'geometry': {'coordinates': [], 'type': 'Polygon'},
'id': '',
'product_type': '',
'properties': { 'created': '2022-01-06T05:31:50Z',
'end_datetime': '2023-12-01_t17:07:00.671447',
'eopf: instrument_swath': 'iw1',
'eopf:collection': '',
'eopf:data_take_id': 407067,
'eopf:image_size': {},
'eopf:instrument_mode': 7,
'eopf:instrument_swath': '',
'eopf:processing_baseline': '',
'eopf:timeline': '',
'eopf:type': '',
'instrument': 'Synthetic Aperture '
'Radar',
'mission': 'Sentinel-1',
'platform': 'Sentinel-1A',
'product_type': '',
'provider': [ { 'name': 'L2 RP '
'Processor',
'roles': [ 'processor']},
{ 'name': 'ESA',
'roles': [ 'producer']}],
'sar:center_frequency': 5405000454.33435,
'sar:frequency_band': '',
'sar:instrument_mode': '',
'sar:looks_equivalent_number': '',
'sar:pixel_spacing_range': '',
'sar:polarization': 'vh',
'sar:product_type': '',
'sar:resolution_azimuth': '',
'sar:resolution_range': '',
'sat:absolute_orbit_number': 51464,
'sat:anx_datetime': '',
'sat:orbit_state': 'ascending',
'sat:relative_orbit_number': '',
'start_datetime': '2023-12-01_t17:06:35.521716',
'view:azimuth': '',
'view:incidence_angle': '',
'view:off_nadir': ''},
'stac_extensions': [ 'https://stac-extensions.github.io/eopf/v1.0.0/schema.json'],
'stac_version': '1.0.0',
'type': 'Feature'}}
Subgroups
Subgroups
Variables
{ 'coordinates': ('azimuth_time', 'slant_range_time'),
'dimensions': ('azimuth_time', 'slant_range_time'),
'units': 'dregrees'}
<xarray.DataArray 'elevation_angle' (azimuth_time: 10, slant_range_time: 712)> Size: 28kB
dask.array<open_dataset-elevation_angle, shape=(10, 712), dtype=float32, chunksize=(10, 712), chunktype=numpy.ndarray>
Coordinates:
* azimuth_time (azimuth_time) int64 80B 0 2760612 ... 22066397 25149731
* slant_range_time (slant_range_time) float32 3kB 0.005336 ... 0.00569
Attributes:
description: Corresponding elevation angle for this antenna patter...
long_name: elevation angle
short_name: elevation_angle
units: dregrees
_ARRAY_DIMENSIONS: ('azimuth_time', 'slant_range_time')
('azimuth_time', 'slant_range_time')
{ 'coordinates': ('azimuth_time', 'slant_range_time'),
'dimensions': ('azimuth_time', 'slant_range_time'),
'units': '1'}
<xarray.DataArray 'elevation_pattern' (azimuth_time: 10, slant_range_time: 712)> Size: 57kB
dask.array<open_dataset-elevation_pattern, shape=(10, 712), dtype=complex64, chunksize=(10, 712), chunktype=numpy.ndarray>
Coordinates:
* azimuth_time (azimuth_time) int64 80B 0 2760612 ... 22066397 25149731
* slant_range_time (slant_range_time) float32 3kB 0.005336 ... 0.00569
Attributes:
long_name: elevation pattern
short_name: elevation_pattern
units: 1
_ARRAY_DIMENSIONS: ('azimuth_time', 'slant_range_time')
('azimuth_time', 'slant_range_time')
{ 'coordinates': ('azimuth_time', 'slant_range_time'),
'dimensions': ('azimuth_time', 'slant_range_time'),
'units': 'dregrees'}
<xarray.DataArray 'incidence_angle' (azimuth_time: 10, slant_range_time: 712)> Size: 28kB
dask.array<open_dataset-incidence_angle, shape=(10, 712), dtype=float32, chunksize=(10, 712), chunktype=numpy.ndarray>
Coordinates:
* azimuth_time (azimuth_time) int64 80B 0 2760612 ... 22066397 25149731
* slant_range_time (slant_range_time) float32 3kB 0.005336 ... 0.00569
Attributes:
description: Corresponding incidence angle value for this point. T...
long_name: incidence angle
short_name: incidence_angle
units: dregrees
_ARRAY_DIMENSIONS: ('azimuth_time', 'slant_range_time')
('azimuth_time', 'slant_range_time')
{ 'coordinates': ('azimuth_time',),
'dimensions': ('azimuth_time',),
'units': 'degrees'}
<xarray.DataArray 'roll' (azimuth_time: 10)> Size: 80B
dask.array<open_dataset-roll, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>
Coordinates:
* azimuth_time (azimuth_time) int64 80B 0 2760612 ... 22066397 25149731
Attributes:
description: Estimated roll angle for this antenna pattern [degrees].
long_name: roll
short_name: roll
units: degrees
_ARRAY_DIMENSIONS: ('azimuth_time',)
{ 'coordinates': ('azimuth_time',),
'dimensions': ('azimuth_time',),
'units': 's'}
<xarray.DataArray 'terrain_height' (azimuth_time: 10)> Size: 80B
dask.array<open_dataset-terrain_height, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>
Coordinates:
* azimuth_time (azimuth_time) int64 80B 0 2760612 ... 22066397 25149731
Attributes:
long_name: terrain height
short_name: terrain_height
units: s
_ARRAY_DIMENSIONS: ('azimuth_time',)
{ 'ascending_node_time': '2023-12-01T16:55:03.746881',
'mode': 'IW',
'orbit_number': 51464,
'pass': 'ASCENDING',
'relative_orbit_number': 117,
'title': 'Attitude information used by the IPF during processing'}
Subgroups
Variables
{ 'coordinates': ('azimuth_time',),
'dimensions': ('azimuth_time',),
'units': '1'}
<xarray.DataArray 'pitch' (azimuth_time: 25)> Size: 200B
dask.array<open_dataset-pitch, shape=(25,), dtype=float64, chunksize=(25,), chunktype=numpy.ndarray>
Coordinates:
* azimuth_time (azimuth_time) int64 200B 0 999995 ... 22999997 24000002
Attributes:
description: Platform pitch calculated from ancillary attitude data
long_name: pitch
short_name: pitch
unit: dregrees
units: 1
_ARRAY_DIMENSIONS: ('azimuth_time',)
{ 'coordinates': ('azimuth_time',),
'dimensions': ('azimuth_time',),
'units': '1'}
<xarray.DataArray 'q0' (azimuth_time: 25)> Size: 200B
dask.array<open_dataset-q0, shape=(25,), dtype=float64, chunksize=(25,), chunktype=numpy.ndarray>
Coordinates:
* azimuth_time (azimuth_time) int64 200B 0 999995 ... 22999997 24000002
Attributes:
long_name: q0
short_name: q0
units: 1
_ARRAY_DIMENSIONS: ('azimuth_time',)
{ 'coordinates': ('azimuth_time',),
'dimensions': ('azimuth_time',),
'units': '1'}
<xarray.DataArray 'q1' (azimuth_time: 25)> Size: 200B
dask.array<open_dataset-q1, shape=(25,), dtype=float64, chunksize=(25,), chunktype=numpy.ndarray>
Coordinates:
* azimuth_time (azimuth_time) int64 200B 0 999995 ... 22999997 24000002
Attributes:
long_name: q1
short_name: q1
units: 1
_ARRAY_DIMENSIONS: ('azimuth_time',)
{ 'coordinates': ('azimuth_time',),
'dimensions': ('azimuth_time',),
'units': '1'}
<xarray.DataArray 'q2' (azimuth_time: 25)> Size: 200B
dask.array<open_dataset-q2, shape=(25,), dtype=float64, chunksize=(25,), chunktype=numpy.ndarray>
Coordinates:
* azimuth_time (azimuth_time) int64 200B 0 999995 ... 22999997 24000002
Attributes:
long_name: q2
short_name: q2
units: 1
_ARRAY_DIMENSIONS: ('azimuth_time',)
{ 'coordinates': ('azimuth_time',),
'dimensions': ('azimuth_time',),
'units': '1'}
<xarray.DataArray 'q3' (azimuth_time: 25)> Size: 200B
dask.array<open_dataset-q3, shape=(25,), dtype=float64, chunksize=(25,), chunktype=numpy.ndarray>
Coordinates:
* azimuth_time (azimuth_time) int64 200B 0 999995 ... 22999997 24000002
Attributes:
long_name: q3
short_name: q3
units: 1
_ARRAY_DIMENSIONS: ('azimuth_time',)
{ 'coordinates': ('azimuth_time',),
'dimensions': ('azimuth_time',),
'units': '1'}
<xarray.DataArray 'roll' (azimuth_time: 25)> Size: 200B
dask.array<open_dataset-roll, shape=(25,), dtype=float64, chunksize=(25,), chunktype=numpy.ndarray>
Coordinates:
* azimuth_time (azimuth_time) int64 200B 0 999995 ... 22999997 24000002
Attributes:
description: Platform roll calculated from ancillary attitude data
long_name: roll
short_name: roll
unit: dregrees
units: 1
_ARRAY_DIMENSIONS: ('azimuth_time',)
{ 'coordinates': ('azimuth_time',),
'dimensions': ('azimuth_time',),
'units': '1'}
<xarray.DataArray 'wx' (azimuth_time: 25)> Size: 200B
dask.array<open_dataset-wx, shape=(25,), dtype=float64, chunksize=(25,), chunktype=numpy.ndarray>
Coordinates:
* azimuth_time (azimuth_time) int64 200B 0 999995 ... 22999997 24000002
Attributes:
description: X component of angular velocity vector as extracted f...
long_name: wx
short_name: wx
unit: dregrees/s
units: 1
_ARRAY_DIMENSIONS: ('azimuth_time',)
{ 'coordinates': ('azimuth_time',),
'dimensions': ('azimuth_time',),
'units': '1'}
<xarray.DataArray 'wy' (azimuth_time: 25)> Size: 200B
dask.array<open_dataset-wy, shape=(25,), dtype=float64, chunksize=(25,), chunktype=numpy.ndarray>
Coordinates:
* azimuth_time (azimuth_time) int64 200B 0 999995 ... 22999997 24000002
Attributes:
description: Y component of angular velocity vector as extracted f...
long_name: wy
short_name: wy
unit: dregrees/s
units: 1
_ARRAY_DIMENSIONS: ('azimuth_time',)
{ 'coordinates': ('azimuth_time',),
'dimensions': ('azimuth_time',),
'units': '1'}
<xarray.DataArray 'wz' (azimuth_time: 25)> Size: 200B
dask.array<open_dataset-wz, shape=(25,), dtype=float64, chunksize=(25,), chunktype=numpy.ndarray>
Coordinates:
* azimuth_time (azimuth_time) int64 200B 0 999995 ... 22999997 24000002
Attributes:
description: Z component of angular velocity vector as extracted f...
long_name: wz
short_name: wz
unit: dregrees/s
units: 1
_ARRAY_DIMENSIONS: ('azimuth_time',)
{ 'coordinates': ('azimuth_time',),
'dimensions': ('azimuth_time',),
'units': '1'}
<xarray.DataArray 'yaw' (azimuth_time: 25)> Size: 200B
dask.array<open_dataset-yaw, shape=(25,), dtype=float64, chunksize=(25,), chunktype=numpy.ndarray>
Coordinates:
* azimuth_time (azimuth_time) int64 200B 0 999995 ... 22999997 24000002
Attributes:
description: Platform yaw calculated from ancillary attitude data
long_name: yaw
short_name: yaw
unit: dregrees
units: 1
_ARRAY_DIMENSIONS: ('azimuth_time',)
Subgroups
Variables
{ 'coordinates': ('azimuth_time', 'degree'),
'dimensions': ('azimuth_time', 'degree'),
'units': ''}
<xarray.DataArray 'azimuth_fm_rate_polynomial' (azimuth_time: 10, degree: 3)> Size: 240B
dask.array<open_dataset-azimuth_fm_rate_polynomial, shape=(10, 3), dtype=float64, chunksize=(10, 3), chunktype=numpy.ndarray>
Coordinates:
* azimuth_time (azimuth_time) int64 80B 0 2758277 ... 22066216 24824493
* degree (degree) int64 24B 0 1 2
Attributes:
description: Azimuth FM rate coefficients array in order of c0 [Hz...
long_name: azimuth fm rate polynomial
short_name: azimuth_fm_rate_polynomial
units:
_ARRAY_DIMENSIONS: ('azimuth_time', 'degree')
('azimuth_time', 'degree')
{ 'coordinates': ('azimuth_time',),
'dimensions': ('azimuth_time',),
'units': 's'}
<xarray.DataArray 't0' (azimuth_time: 10)> Size: 80B
dask.array<open_dataset-t0, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>
Coordinates:
* azimuth_time (azimuth_time) int64 80B 0 2758277 ... 22066216 24824493
Attributes:
description: Two way slant range time origin used for azimuth FM r...
long_name: t0
short_name: t0
units: s
_ARRAY_DIMENSIONS: ('azimuth_time',)
Subgroups
Variables
{ 'coordinates': ('azimuth_time', 'degree'),
'dimensions': ('azimuth_time', 'degree'),
'units': ''}
<xarray.DataArray 'data_dc_polynomial' (azimuth_time: 10, degree: 3)> Size: 240B
dask.array<open_dataset-data_dc_polynomial, shape=(10, 3), dtype=float64, chunksize=(10, 3), chunktype=numpy.ndarray>
Coordinates:
* azimuth_time (azimuth_time) int64 80B 0 2758277 ... 22066215 24824492
* degree (degree) int64 24B 0 1 2
Attributes:
description: Doppler centroid estimated from data, expressed as th...
long_name: data dc polynomial
short_name: data_dc_polynomial
units:
_ARRAY_DIMENSIONS: ('azimuth_time', 'degree')
('azimuth_time', 'degree')
{ 'coordinates': ('azimuth_time',),
'dimensions': ('azimuth_time',),
'units': '1'}
<xarray.DataArray 'data_dc_rms_error' (azimuth_time: 10)> Size: 80B
dask.array<open_dataset-data_dc_rms_error, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>
Coordinates:
* azimuth_time (azimuth_time) int64 80B 0 2758277 ... 22066215 24824492
Attributes:
description: The RMS error of the Doppler centroid estimate. It is...
long_name: data dc rms error
short_name: data_dc_rms_error
unit:
units: 1
_ARRAY_DIMENSIONS: ('azimuth_time',)
{ 'coordinates': ('azimuth_time',),
'dimensions': ('azimuth_time',),
'units': '1'}
<xarray.DataArray 'data_dc_rms_error_above_threshold' (azimuth_time: 10)> Size: 80B
dask.array<open_dataset-data_dc_rms_error_above_threshold, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>
Coordinates:
* azimuth_time (azimuth_time) int64 80B 0 2758277 ... 22066215 24824492
Attributes:
description: False if the RMS error is below the acceptable thres...
long_name: data dc rms error above threshold
short_name: data_dc_rms_error_above_threshold
unit:
units: 1
_ARRAY_DIMENSIONS: ('azimuth_time',)
{ 'coordinates': ('azimuth_time', 'degree'),
'dimensions': ('azimuth_time', 'degree'),
'units': ''}
<xarray.DataArray 'geometry_dc_polynomial' (azimuth_time: 10, degree: 3)> Size: 240B
dask.array<open_dataset-geometry_dc_polynomial, shape=(10, 3), dtype=float64, chunksize=(10, 3), chunktype=numpy.ndarray>
Coordinates:
* azimuth_time (azimuth_time) int64 80B 0 2758277 ... 22066215 24824492
* degree (degree) int64 24B 0 1 2
Attributes:
description: Doppler centroid estimated from orbit, expressed as t...
long_name: geometry dc polynomial
short_name: geometry_dc_polynomial
units:
_ARRAY_DIMENSIONS: ('azimuth_time', 'degree')
('azimuth_time', 'degree')
{ 'coordinates': ('azimuth_time',),
'dimensions': ('azimuth_time',),
'units': '1'}
<xarray.DataArray 't0' (azimuth_time: 10)> Size: 80B
dask.array<open_dataset-t0, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>
Coordinates:
* azimuth_time (azimuth_time) int64 80B 0 2758277 ... 22066215 24824492
Attributes:
long_name: t0
short_name: t0
units: 1
_ARRAY_DIMENSIONS: ('azimuth_time',)
Subgroups
Variables
{ 'coordinates': ('azimuth_time', 'slant_range_time', 'line', 'pixel'),
'dimensions': ('azimuth_time', 'slant_range_time'),
'units': '1'}
<xarray.DataArray 'elevation_angle' (azimuth_time: 10, slant_range_time: 21)> Size: 2kB
dask.array<open_dataset-elevation_angle, shape=(10, 21), dtype=float64, chunksize=(10, 21), chunktype=numpy.ndarray>
Coordinates:
* azimuth_time (azimuth_time) int64 80B 0 2760612 ... 22066397 25149732
* slant_range_time (slant_range_time) float64 168B 0.005337 ... 0.005689
line (azimuth_time) int64 80B dask.array<chunksize=(10,), meta=np.ndarray>
pixel (slant_range_time) int64 168B dask.array<chunksize=(21,), meta=np.ndarray>
Attributes:
description: Elevation angle to grid point
long_name: elevation angle
short_name: elevation_angle
unit: degrees
units: 1
_ARRAY_DIMENSIONS: ('azimuth_time', 'slant_range_time')
('azimuth_time', 'slant_range_time')
{ 'coordinates': ('azimuth_time', 'slant_range_time', 'line', 'pixel'),
'dimensions': ('azimuth_time', 'slant_range_time'),
'units': '1'}
<xarray.DataArray 'height' (azimuth_time: 10, slant_range_time: 21)> Size: 2kB
dask.array<open_dataset-height, shape=(10, 21), dtype=float64, chunksize=(10, 21), chunktype=numpy.ndarray>
Coordinates:
* azimuth_time (azimuth_time) int64 80B 0 2760612 ... 22066397 25149732
* slant_range_time (slant_range_time) float64 168B 0.005337 ... 0.005689
line (azimuth_time) int64 80B dask.array<chunksize=(10,), meta=np.ndarray>
pixel (slant_range_time) int64 168B dask.array<chunksize=(21,), meta=np.ndarray>
Attributes:
description: Height of the grid point above sea level
long_name: height
short_name: height
units: 1
_ARRAY_DIMENSIONS: ('azimuth_time', 'slant_range_time')
('azimuth_time', 'slant_range_time')
{ 'coordinates': ('azimuth_time', 'slant_range_time', 'line', 'pixel'),
'dimensions': ('azimuth_time', 'slant_range_time'),
'units': '1'}
<xarray.DataArray 'incidence_angle' (azimuth_time: 10, slant_range_time: 21)> Size: 2kB
dask.array<open_dataset-incidence_angle, shape=(10, 21), dtype=float64, chunksize=(10, 21), chunktype=numpy.ndarray>
Coordinates:
* azimuth_time (azimuth_time) int64 80B 0 2760612 ... 22066397 25149732
* slant_range_time (slant_range_time) float64 168B 0.005337 ... 0.005689
line (azimuth_time) int64 80B dask.array<chunksize=(10,), meta=np.ndarray>
pixel (slant_range_time) int64 168B dask.array<chunksize=(21,), meta=np.ndarray>
Attributes:
description: Incidence angle to grid point
long_name: incidence angle
short_name: incidence_angle
unit: m
units: 1
_ARRAY_DIMENSIONS: ('azimuth_time', 'slant_range_time')
('azimuth_time', 'slant_range_time')
{ 'coordinates': ('azimuth_time', 'slant_range_time', 'line', 'pixel'),
'dimensions': ('azimuth_time', 'slant_range_time'),
'units': '1'}
<xarray.DataArray 'latitude' (azimuth_time: 10, slant_range_time: 21)> Size: 2kB
dask.array<open_dataset-latitude, shape=(10, 21), dtype=float64, chunksize=(10, 21), chunktype=numpy.ndarray>
Coordinates:
* azimuth_time (azimuth_time) int64 80B 0 2760612 ... 22066397 25149732
* slant_range_time (slant_range_time) float64 168B 0.005337 ... 0.005689
line (azimuth_time) int64 80B dask.array<chunksize=(10,), meta=np.ndarray>
pixel (slant_range_time) int64 168B dask.array<chunksize=(21,), meta=np.ndarray>
Attributes:
long_name: latitude
short_name: latitude
units: 1
_ARRAY_DIMENSIONS: ('azimuth_time', 'slant_range_time')
('azimuth_time', 'slant_range_time')
{ 'coordinates': ('azimuth_time', 'slant_range_time', 'line', 'pixel'),
'dimensions': ('azimuth_time', 'slant_range_time'),
'units': '1'}
<xarray.DataArray 'longitude' (azimuth_time: 10, slant_range_time: 21)> Size: 2kB
dask.array<open_dataset-longitude, shape=(10, 21), dtype=float64, chunksize=(10, 21), chunktype=numpy.ndarray>
Coordinates:
* azimuth_time (azimuth_time) int64 80B 0 2760612 ... 22066397 25149732
* slant_range_time (slant_range_time) float64 168B 0.005337 ... 0.005689
line (azimuth_time) int64 80B dask.array<chunksize=(10,), meta=np.ndarray>
pixel (slant_range_time) int64 168B dask.array<chunksize=(21,), meta=np.ndarray>
Attributes:
long_name: longitude
short_name: longitude
units: 1
_ARRAY_DIMENSIONS: ('azimuth_time', 'slant_range_time')
('azimuth_time', 'slant_range_time')
{ 'ascending_node_time': '2023-12-01T16:55:03.746881',
'mode': 'IW',
'orbit_number': 51464,
'pass': 'ASCENDING',
'reference_system': 'Earth Fixed',
'relative_orbit_number': 117,
'title': 'Orbit information used by the IPF during processing'}
Subgroups
Variables
{ 'coordinates': ('axis', 'azimuth_time'),
'dimensions': ('axis', 'azimuth_time'),
'units': 'm'}
<xarray.DataArray 'position' (axis: 3, azimuth_time: 16)> Size: 384B
dask.array<open_dataset-position, shape=(3, 16), dtype=float64, chunksize=(3, 16), chunktype=numpy.ndarray>
Coordinates:
* axis (axis) int64 24B 0 1 2
* azimuth_time (azimuth_time) int64 128B 0 10 20 30 40 ... 120 130 140 150
Attributes:
description: Position vector record. This record contains the plat...
long_name: position
short_name: position
units: m
_ARRAY_DIMENSIONS: ('axis', 'azimuth_time')
{ 'coordinates': ('axis', 'azimuth_time'),
'dimensions': ('axis', 'azimuth_time'),
'units': 'm/s'}
<xarray.DataArray 'velocity' (axis: 3, azimuth_time: 16)> Size: 384B
dask.array<open_dataset-velocity, shape=(3, 16), dtype=float64, chunksize=(3, 16), chunktype=numpy.ndarray>
Coordinates:
* axis (axis) int64 24B 0 1 2
* azimuth_time (azimuth_time) int64 128B 0 10 20 30 40 ... 120 130 140 150
Attributes:
description: Velocity vector record. This record contains the plat...
long_name: velocity
short_name: velocity
units: m/s
_ARRAY_DIMENSIONS: ('axis', 'azimuth_time')
{ 'azimuth_time': '2023-12-01T17:06:33.871488',
'chirp_source': 'Nominal',
'gain': {'im': 0.0, 're': 1.0},
'pg_source': 'Extracted',
'time_delay': 4.36458e-07}
Subgroups
Variables
{'coordinates': ('degree',), 'dimensions': ('degree',), 'units': ''}
<xarray.DataArray 'reference_replica_amplitude_coefficients' (degree: 4)> Size: 32B
dask.array<open_dataset-reference_replica_amplitude_coefficients, shape=(4,), dtype=float64, chunksize=(4,), chunktype=numpy.ndarray>
Coordinates:
* degree (degree) int64 32B 0 1 2 3
Attributes:
description: Reference replica amplitude coefficients. This elemen...
long_name: reference replica amplitude coefficients
short_name: reference_replica_amplitude_coefficients
units:
_ARRAY_DIMENSIONS: ('degree',)
{'coordinates': ('degree',), 'dimensions': ('degree',), 'units': ''}
<xarray.DataArray 'reference_replica_phase_coefficients' (degree: 4)> Size: 32B
dask.array<open_dataset-reference_replica_phase_coefficients, shape=(4,), dtype=float64, chunksize=(4,), chunktype=numpy.ndarray>
Coordinates:
* degree (degree) int64 32B 0 1 2 3
Attributes:
description: Reference replica phase coefficients. This element co...
long_name: reference replica phase coefficients
short_name: reference_replica_phase_coefficients
units:
_ARRAY_DIMENSIONS: ('degree',)
Subgroups
Variables
{ 'coordinates': ('azimuth_time',),
'dimensions': ('azimuth_time',),
'units': '1'}
<xarray.DataArray 'absolute_pg_product_valid_flag' (azimuth_time: 14)> Size: 14B
dask.array<open_dataset-absolute_pg_product_valid_flag, shape=(14,), dtype=bool, chunksize=(14,), chunktype=numpy.ndarray>
Coordinates:
* azimuth_time (azimuth_time) int64 112B 0 5516571 ... 66198661 71715210
Attributes:
description: Indicates if the amplitude and phase of the PG produc...
long_name: absolute pg product valid flag
short_name: absolute_pg_product_valid_flag
units: 1
_ARRAY_DIMENSIONS: ('azimuth_time',)
{ 'coordinates': ('azimuth_time',),
'dimensions': ('azimuth_time',),
'units': '1'}
<xarray.DataArray 'cross_correlation_bandwidth' (azimuth_time: 14)> Size: 112B
dask.array<open_dataset-cross_correlation_bandwidth, shape=(14,), dtype=float64, chunksize=(14,), chunktype=numpy.ndarray>
Coordinates:
* azimuth_time (azimuth_time) int64 112B 0 5516571 ... 66198661 71715210
Attributes:
description: 3-dB pulse width of cross-correlation function betwee...
long_name: cross correlation bandwidth
short_name: cross_correlation_bandwidth
units: 1
_ARRAY_DIMENSIONS: ('azimuth_time',)
{ 'coordinates': ('azimuth_time',),
'dimensions': ('azimuth_time',),
'units': '1'}
<xarray.DataArray 'cross_correlation_peak_location' (azimuth_time: 14)> Size: 112B
dask.array<open_dataset-cross_correlation_peak_location, shape=(14,), dtype=float64, chunksize=(14,), chunktype=numpy.ndarray>
Coordinates:
* azimuth_time (azimuth_time) int64 112B 0 5516571 ... 66198661 71715210
Attributes:
description: Peak location of cross-correlation function between t...
long_name: cross correlation peak location
short_name: cross_correlation_peak_location
units: 1
_ARRAY_DIMENSIONS: ('azimuth_time',)
{ 'coordinates': ('azimuth_time',),
'dimensions': ('azimuth_time',),
'units': '1'}
<xarray.DataArray 'cross_correlation_pslr' (azimuth_time: 14)> Size: 112B
dask.array<open_dataset-cross_correlation_pslr, shape=(14,), dtype=float64, chunksize=(14,), chunktype=numpy.ndarray>
Coordinates:
* azimuth_time (azimuth_time) int64 112B 0 5516571 ... 66198661 71715210
Attributes:
description: Peak side lobe level (PSLR) of cross-correlation func...
long_name: cross correlation pslr
short_name: cross_correlation_pslr
units: 1
_ARRAY_DIMENSIONS: ('azimuth_time',)
{ 'coordinates': ('azimuth_time',),
'dimensions': ('azimuth_time',),
'units': 's'}
<xarray.DataArray 'internal_time_delay' (azimuth_time: 14)> Size: 112B
dask.array<open_dataset-internal_time_delay, shape=(14,), dtype=float64, chunksize=(14,), chunktype=numpy.ndarray>
Coordinates:
* azimuth_time (azimuth_time) int64 112B 0 5516571 ... 66198661 71715210
Attributes:
description: Internal time delay representing the calculated devia...
long_name: internal time delay
short_name: internal_time_delay
units: s
_ARRAY_DIMENSIONS: ('azimuth_time',)
{ 'coordinates': ('azimuth_time',),
'dimensions': ('azimuth_time',),
'units': '1'}
<xarray.DataArray 'model_pg_product_amplitude' (azimuth_time: 14)> Size: 112B
dask.array<open_dataset-model_pg_product_amplitude, shape=(14,), dtype=float64, chunksize=(14,), chunktype=numpy.ndarray>
Coordinates:
* azimuth_time (azimuth_time) int64 112B 0 5516571 ... 66198661 71715210
Attributes:
description: PG product amplitude value from the input PG product ...
long_name: model pg product amplitude
short_name: model_pg_product_amplitude
units: 1
_ARRAY_DIMENSIONS: ('azimuth_time',)
{ 'coordinates': ('azimuth_time',),
'dimensions': ('azimuth_time',),
'units': '1'}
<xarray.DataArray 'model_pg_product_phase' (azimuth_time: 14)> Size: 112B
dask.array<open_dataset-model_pg_product_phase, shape=(14,), dtype=float64, chunksize=(14,), chunktype=numpy.ndarray>
Coordinates:
* azimuth_time (azimuth_time) int64 112B 0 5516571 ... 66198661 71715210
Attributes:
description: radians
long_name: model pg product phase
short_name: model_pg_product_phase
units: 1
_ARRAY_DIMENSIONS: ('azimuth_time',)
{ 'coordinates': ('azimuth_time',),
'dimensions': ('azimuth_time',),
'units': '1'}
<xarray.DataArray 'pg_product_amplitude' (azimuth_time: 14)> Size: 112B
dask.array<open_dataset-pg_product_amplitude, shape=(14,), dtype=float64, chunksize=(14,), chunktype=numpy.ndarray>
Coordinates:
* azimuth_time (azimuth_time) int64 112B 0 5516571 ... 66198661 71715210
Attributes:
description: Amplitude of the PG product derived from this replica.
long_name: pg product amplitude
short_name: pg_product_amplitude
units: 1
_ARRAY_DIMENSIONS: ('azimuth_time',)
{ 'coordinates': ('azimuth_time',),
'dimensions': ('azimuth_time',),
'units': '1'}
<xarray.DataArray 'pg_product_phase' (azimuth_time: 14)> Size: 112B
dask.array<open_dataset-pg_product_phase, shape=(14,), dtype=float64, chunksize=(14,), chunktype=numpy.ndarray>
Coordinates:
* azimuth_time (azimuth_time) int64 112B 0 5516571 ... 66198661 71715210
Attributes:
description: radians
long_name: pg product phase
short_name: pg_product_phase
units: 1
_ARRAY_DIMENSIONS: ('azimuth_time',)
{ 'coordinates': ('azimuth_time',),
'dimensions': ('azimuth_time',),
'units': '1'}
<xarray.DataArray 'reconstructed_replica_valid_flag' (azimuth_time: 14)> Size: 14B
dask.array<open_dataset-reconstructed_replica_valid_flag, shape=(14,), dtype=bool, chunksize=(14,), chunktype=numpy.ndarray>
Coordinates:
* azimuth_time (azimuth_time) int64 112B 0 5516571 ... 66198661 71715210
Attributes:
description: Indicates if the cross-correlation between the nomina...
long_name: reconstructed replica valid flag
short_name: reconstructed_replica_valid_flag
units: 1
_ARRAY_DIMENSIONS: ('azimuth_time',)
{ 'coordinates': ('azimuth_time',),
'dimensions': ('azimuth_time',),
'units': '1'}
<xarray.DataArray 'relative_pg_product_valid_flag' (azimuth_time: 14)> Size: 14B
dask.array<open_dataset-relative_pg_product_valid_flag, shape=(14,), dtype=bool, chunksize=(14,), chunktype=numpy.ndarray>
Coordinates:
* azimuth_time (azimuth_time) int64 112B 0 5516571 ... 66198661 71715210
Attributes:
description: Indicates if the amplitude and phase of the PG produc...
long_name: relative pg product valid flag
short_name: relative_pg_product_valid_flag
units: 1
_ARRAY_DIMENSIONS: ('azimuth_time',)
Subgroups
Variables
{ 'coordinates': ('azimuth_time',),
'dimensions': ('azimuth_time',),
'units': 'm'}
<xarray.DataArray 'terrain_height' (azimuth_time: 5)> Size: 40B
dask.array<open_dataset-terrain_height, shape=(5,), dtype=float64, chunksize=(5,), chunktype=numpy.ndarray>
Coordinates:
* azimuth_time (azimuth_time) float64 40B 0.0 2.056e+03 ... 8.222e+03
Attributes:
long_name: terrain height
short_name: terrain_height
units: m
_ARRAY_DIMENSIONS: ('azimuth_time',)
Variables
{'pol': 'VH', 'swath': 'IW1'}
Subgroups
Variables
{ 'coordinates': ('azimuth_time', 'slant_range_time', 'line', 'pixel'),
'dimensions': ('azimuth_time', 'slant_range_time'),
'units': ''}
<xarray.DataArray 'slc' (azimuth_time: 1501, slant_range_time: 22694)> Size: 273MB
dask.array<open_dataset-slc, shape=(1501, 22694), dtype=complex64, chunksize=(1501, 3000), chunktype=numpy.ndarray>
Coordinates:
* azimuth_time (azimuth_time) float64 12kB 0.0 2.056e+03 ... 3.083e+06
* slant_range_time (slant_range_time) float64 182kB 0.005337 ... 0.005689
line (azimuth_time) int64 12kB dask.array<chunksize=(1501,), meta=np.ndarray>
pixel (slant_range_time) int64 182kB dask.array<chunksize=(22694,), meta=np.ndarray>
Attributes:
long_name: single look complex
short_name: slc
units:
_ARRAY_DIMENSIONS: ('azimuth_time', 'slant_range_time')
('azimuth_time', 'slant_range_time')
Subgroups
{'absolute_calibration_constant': 1.0}
Subgroups
Variables
{ 'coordinates': ('azimuth_time', 'slant_range_time', 'line', 'pixel'),
'dimensions': ('azimuth_time', 'slant_range_time'),
'units': '1'}
<xarray.DataArray 'beta_nought' (azimuth_time: 29, slant_range_time: 569)> Size: 66kB
dask.array<open_dataset-beta_nought, shape=(29, 569), dtype=float32, chunksize=(29, 569), chunktype=numpy.ndarray>
Coordinates:
* azimuth_time (azimuth_time) int64 232B 0 1327889176 ... 31275284540
* slant_range_time (slant_range_time) float64 5kB 0.005337 ... 0.005689
line (azimuth_time) int64 232B dask.array<chunksize=(29,), meta=np.ndarray>
pixel (slant_range_time) int64 5kB dask.array<chunksize=(569,), meta=np.ndarray>
Attributes:
long_name: beta nought
short_name: beta_nought
units: 1
_ARRAY_DIMENSIONS: ('azimuth_time', 'slant_range_time')
('azimuth_time', 'slant_range_time')
{ 'coordinates': ('azimuth_time', 'slant_range_time', 'line', 'pixel'),
'dimensions': ('azimuth_time', 'slant_range_time'),
'units': '1'}
<xarray.DataArray 'dn' (azimuth_time: 29, slant_range_time: 569)> Size: 66kB
dask.array<open_dataset-dn, shape=(29, 569), dtype=float32, chunksize=(29, 569), chunktype=numpy.ndarray>
Coordinates:
* azimuth_time (azimuth_time) int64 232B 0 1327889176 ... 31275284540
* slant_range_time (slant_range_time) float64 5kB 0.005337 ... 0.005689
line (azimuth_time) int64 232B dask.array<chunksize=(29,), meta=np.ndarray>
pixel (slant_range_time) int64 5kB dask.array<chunksize=(569,), meta=np.ndarray>
Attributes:
long_name: dn
short_name: dn
units: 1
_ARRAY_DIMENSIONS: ('azimuth_time', 'slant_range_time')
('azimuth_time', 'slant_range_time')
{ 'coordinates': ('azimuth_time', 'slant_range_time', 'line', 'pixel'),
'dimensions': ('azimuth_time', 'slant_range_time'),
'units': '1'}
<xarray.DataArray 'gamma' (azimuth_time: 29, slant_range_time: 569)> Size: 66kB
dask.array<open_dataset-gamma, shape=(29, 569), dtype=float32, chunksize=(29, 569), chunktype=numpy.ndarray>
Coordinates:
* azimuth_time (azimuth_time) int64 232B 0 1327889176 ... 31275284540
* slant_range_time (slant_range_time) float64 5kB 0.005337 ... 0.005689
line (azimuth_time) int64 232B dask.array<chunksize=(29,), meta=np.ndarray>
pixel (slant_range_time) int64 5kB dask.array<chunksize=(569,), meta=np.ndarray>
Attributes:
long_name: gamma
short_name: gamma
units: 1
_ARRAY_DIMENSIONS: ('azimuth_time', 'slant_range_time')
('azimuth_time', 'slant_range_time')
{ 'coordinates': ('azimuth_time', 'slant_range_time', 'line', 'pixel'),
'dimensions': ('azimuth_time', 'slant_range_time'),
'units': '1'}
<xarray.DataArray 'sigma_nought' (azimuth_time: 29, slant_range_time: 569)> Size: 66kB
dask.array<open_dataset-sigma_nought, shape=(29, 569), dtype=float32, chunksize=(29, 569), chunktype=numpy.ndarray>
Coordinates:
* azimuth_time (azimuth_time) int64 232B 0 1327889176 ... 31275284540
* slant_range_time (slant_range_time) float64 5kB 0.005337 ... 0.005689
line (azimuth_time) int64 232B dask.array<chunksize=(29,), meta=np.ndarray>
pixel (slant_range_time) int64 5kB dask.array<chunksize=(569,), meta=np.ndarray>
Attributes:
long_name: sigma nought
short_name: sigma_nought
units: 1
_ARRAY_DIMENSIONS: ('azimuth_time', 'slant_range_time')
('azimuth_time', 'slant_range_time')
Subgroups
Variables
{ 'coordinates': ('azimuth_time',),
'dimensions': ('azimuth_time',),
'units': '1'}
<xarray.DataArray 'noise_power_correction_factor' (azimuth_time: 220)> Size: 2kB
dask.array<open_dataset-noise_power_correction_factor, shape=(220,), dtype=float64, chunksize=(220,), chunktype=numpy.ndarray>
Coordinates:
* azimuth_time (azimuth_time) float64 2kB 0.0 2.056e+03 ... 4.502e+05
Attributes:
long_name: noise power correction factor
short_name: noise_power_correction_factor
units: 1
_ARRAY_DIMENSIONS: ('azimuth_time',)
{ 'coordinates': ('azimuth_time',),
'dimensions': ('azimuth_time',),
'units': '1'}
<xarray.DataArray 'number_of_noise_lines' (azimuth_time: 220)> Size: 2kB
dask.array<open_dataset-number_of_noise_lines, shape=(220,), dtype=float64, chunksize=(220,), chunktype=numpy.ndarray>
Coordinates:
* azimuth_time (azimuth_time) float64 2kB 0.0 2.056e+03 ... 4.502e+05
Attributes:
long_name: number of noise lines
short_name: number_of_noise_lines
units: 1
_ARRAY_DIMENSIONS: ('azimuth_time',)
Subgroups
Variables
{'coordinates': ('azimuth_time', 'line'), 'dimensions': ('azimuth_time',)}
<xarray.DataArray 'noise_azimuth_lut' (azimuth_time: 1359)> Size: 5kB
dask.array<open_dataset-noise_azimuth_lut, shape=(1359,), dtype=float32, chunksize=(1359,), chunktype=numpy.ndarray>
Coordinates:
* azimuth_time (azimuth_time) int64 11kB 0 20555560 ... 27766450448
line (azimuth_time) int64 11kB dask.array<chunksize=(1359,), meta=np.ndarray>
Attributes:
description: Azimuth thermal noise correction vector power values.
_ARRAY_DIMENSIONS: ('azimuth_time',)
Subgroups
Variables
{ 'coordinates': ('azimuth_time', 'slant_range_time', 'line', 'pixel'),
'dimensions': ('azimuth_time', 'slant_range_time')}
<xarray.DataArray 'noise_range_lut' (azimuth_time: 10, slant_range_time: 569)> Size: 23kB
dask.array<open_dataset-noise_range_lut, shape=(10, 569), dtype=float32, chunksize=(10, 569), chunktype=numpy.ndarray>
Coordinates:
* azimuth_time (azimuth_time) int64 80B 0 3085389556 ... 28091228296
* slant_range_time (slant_range_time) float64 5kB 0.005337 ... 0.005689
line (azimuth_time) int64 80B dask.array<chunksize=(10,), meta=np.ndarray>
pixel (slant_range_time) int64 5kB dask.array<chunksize=(569,), meta=np.ndarray>
Attributes:
description: Range thermal noise correction vector power values.
_ARRAY_DIMENSIONS: ('azimuth_time', 'slant_range_time')
('azimuth_time', 'slant_range_time')
Variables