Search ga_s2bm_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata\n\n(e.g. ‘epsg:32654’)\n:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n from:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n to (exclusive):

File format (GeoTiff, NetCDF):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider.\nFor Sentinel it is MGRS code.\n:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n to (exclusive):

Unique identifier for a datastrip relative to a given Datatake.\n\n(e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’)\n:

ESA product URI, with the '.SAFE' ending removed.\n\n(e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845')\n:

Granule ID according to the ESA naming convention\n\n(e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’)\n:

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2017-08-26 12:13:17	ga_s2bm_ard_3-2-1_49KGQ_2017-08-26_final.stac-item
2017-09-22 12:02:37	ga_s2bm_ard_3-2-1_50JLQ_2017-09-22_final.stac-item
2017-12-12 11:35:52	ga_s2bm_ard_3-2-1_50HPJ_2017-12-12_final.stac-item
2017-12-21 12:02:37	ga_s2bm_ard_3-2-1_50JLM_2017-12-21_final.stac-item
2017-12-31 12:02:39	ga_s2bm_ard_3-2-1_50JLP_2017-12-31_final.stac-item
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_50HPJ_2018-01-04_final.stac-item
2018-03-08 11:51:37	ga_s2bm_ard_3-2-1_50JLL_2018-03-08_final.stac-item
2018-04-03 12:13:18	ga_s2bm_ard_3-2-1_49KGP_2018-04-03_final.stac-item
2018-04-04 11:45:38	ga_s2bm_ard_3-2-1_50HQJ_2018-04-04_final.stac-item
2018-06-29 12:02:48	ga_s2bm_ard_3-2-1_50JKP_2018-06-29_final.stac-item
2018-07-13 11:40:15	ga_s2bm_ard_3-2-1_50HNJ_2018-07-13_final.stac-item
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_50JML_2018-09-21_final.stac-item
2018-10-20 12:13:18	ga_s2bm_ard_3-2-1_49KGR_2018-10-20_final.stac-item
2018-10-28 11:31:46	ga_s2bm_ard_3-2-1_50HQH_2018-10-28_final.stac-item
2018-11-06 12:04:25	ga_s2bm_ard_3-2-1_49KHP_2018-11-06_final.stac-item
2019-02-17 12:13:58	ga_s2bm_ard_3-2-1_49KGR_2019-02-17_final.stac-item
2019-02-18 11:47:06	ga_s2bm_ard_3-2-1_50HNH_2019-02-18_final.stac-item
2019-02-25 11:36:37	ga_s2bm_ard_3-2-1_50HPK_2019-02-25_final.stac-item
2019-03-23 11:56:22	ga_s2bm_ard_3-2-1_50JML_2019-03-23_final.stac-item
2019-04-05 12:05:18	ga_s2bm_ard_3-2-1_49JGL_2019-04-05_final.stac-item
2019-04-28 12:14:02	ga_s2bm_ard_3-2-1_49KGR_2019-04-28_final.stac-item
2019-05-02 11:55:49	ga_s2bm_ard_3-2-1_50JLP_2019-05-02_final.stac-item
2019-05-09 11:46:56	ga_s2bm_ard_3-2-1_50HPJ_2019-05-09_final.stac-item
2019-05-28 12:14:15	ga_s2bm_ard_3-2-1_49KGQ_2019-05-28_final.stac-item
2019-06-05 11:37:11	ga_s2bm_ard_3-2-1_50HQH_2019-06-05_final.stac-item
2019-07-21 11:55:55	ga_s2bm_ard_3-2-1_50JKP_2019-07-21_final.stac-item
2019-07-31 11:56:04	ga_s2bm_ard_3-2-1_50JLN_2019-07-31_final.stac-item
2019-09-02 12:04:49	ga_s2bm_ard_3-2-1_49JGN_2019-09-02_final.stac-item
2019-09-05 12:15:13	ga_s2bm_ard_3-2-1_49JGL_2019-09-05_final.stac-item
2019-09-12 12:05:42	ga_s2bm_ard_3-2-1_50JKP_2019-09-12_final.stac-item
2019-09-13 11:37:03	ga_s2bm_ard_3-2-1_50HQH_2019-09-13_final.stac-item
2019-10-12 12:04:19	ga_s2bm_ard_3-2-1_49KGQ_2019-10-12_final.stac-item
2019-12-11 12:05:59	ga_s2bm_ard_3-2-1_50JLM_2019-12-11_final.stac-item
2019-12-21 12:05:32	ga_s2bm_ard_3-2-1_50JLP_2019-12-21_final.stac-item
2019-12-21 12:06:05	ga_s2bm_ard_3-2-1_50JKM_2019-12-21_final.stac-item
2020-02-06 11:56:13	ga_s2bm_ard_3-2-1_50JML_2020-02-06_final.stac-item
2020-04-09 12:05:34	ga_s2bm_ard_3-2-1_50JLP_2020-04-09_final.stac-item
2020-04-16 11:56:18	ga_s2bm_ard_3-2-1_50JML_2020-04-16_final.stac-item
2020-04-29 12:05:33	ga_s2bm_ard_3-2-1_50JLP_2020-04-29_final.stac-item
2020-04-29 12:06:01	ga_s2bm_ard_3-2-1_50JLM_2020-04-29_final.stac-item
2020-06-28 12:04:42	ga_s2bm_ard_3-2-1_50JLT_2020-06-28_final.stac-item
2020-07-11 12:14:15	ga_s2bm_ard_3-2-1_49KGQ_2020-07-11_final.stac-item
2020-07-22 11:46:49	ga_s2bm_ard_3-2-1_50HNJ_2020-07-22_final.stac-item
2020-08-17 12:05:30	ga_s2bm_ard_3-2-1_50JKQ_2020-08-17_final.stac-item
2020-09-13 11:56:13	ga_s2bm_ard_3-2-1_50JLM_2020-09-13_final.stac-item
2020-10-06 12:05:33	ga_s2bm_ard_3-2-1_49JGK_2020-10-06_final.stac-item
2020-10-07 11:37:06	ga_s2bm_ard_3-2-1_50HQH_2020-10-07_final.stac-item
2020-11-05 12:05:40	ga_s2bm_ard_3-2-1_50JLP_2020-11-05_final.stac-item
2020-11-09 11:46:35	ga_s2bm_ard_3-2-1_50HPK_2020-11-09_final.stac-item
2020-12-09 11:46:53	ga_s2bm_ard_3-2-1_50HMJ_2020-12-09_final.stac-item
2020-12-22 11:55:38	ga_s2bm_ard_3-2-1_50JLP_2020-12-22_final.stac-item
2020-12-22 11:57:02	ga_s2bm_ard_3-2-1_50HMH_2020-12-22_final.stac-item
2020-12-29 11:47:04	ga_s2bm_ard_3-2-1_50HNH_2020-12-29_final.stac-item
2021-01-07 12:13:57	ga_s2bm_ard_3-2-1_49KGR_2021-01-07_final.stac-item
2021-01-15 11:36:52	ga_s2bm_ard_3-2-1_50HPJ_2021-01-15_final.stac-item
2021-01-18 11:46:55	ga_s2bm_ard_3-2-1_50HMJ_2021-01-18_final.stac-item
2021-01-21 11:55:42	ga_s2bm_ard_3-2-1_50JLP_2021-01-21_final.stac-item
2021-03-15 12:05:37	ga_s2bm_ard_3-2-1_50JLP_2021-03-15_final.stac-item
2021-03-19 11:46:42	ga_s2bm_ard_3-2-1_50HQJ_2021-03-19_final.stac-item
2021-07-07 11:46:31	ga_s2bm_ard_3-2-1_50HQK_2021-07-07_final.stac-item
2021-09-25 11:47:19	ga_s2bm_ard_3-2-1_50HNG_2021-09-25_final
2021-10-01 12:04:21	ga_s2bm_ard_3-2-1_49KHP_2021-10-01_final.stac-item
2021-11-01 11:37:27	ga_s2bm_ard_3-2-1_50HNG_2021-11-01_final
2021-11-17 11:55:44	ga_s2bm_ard_3-2-1_50JKP_2021-11-17_final.stac-item
2021-11-30 12:05:33	ga_s2bm_ard_3-2-1_50JLP_2021-11-30_final.stac-item
2021-12-24 11:46:25	ga_s2bm_ard_3-2-1_50HQK_2021-12-24_final.stac-item
2022-01-12 12:15:16	ga_s2bm_ard_3-2-1_49JGK_2022-01-12_final.stac-item
2022-02-21 12:13:53	ga_s2bm_ard_3-2-1_49KGR_2022-02-21_final.stac-item
2022-05-06 11:56:21	ga_s2bm_ard_3-2-1_50JLL_2022-05-06_final.stac-item
2022-06-05 11:56:41	ga_s2bm_ard_3-2-1_50HLK_2022-06-05_final.stac-item
2022-06-05 11:57:10	ga_s2bm_ard_3-2-1_50HLH_2022-06-05_final.stac-item
2022-06-18 12:04:50	ga_s2bm_ard_3-2-1_49JHN_2022-06-18_final.stac-item
2022-07-11 12:15:04	ga_s2bm_ard_3-2-1_49JFM_2022-07-11_final.stac-item
2022-07-12 11:46:17	ga_s2bm_ard_3-2-1_50JMM_2022-07-12_final.stac-item
2022-07-25 11:57:14	ga_s2bm_ard_3-2-1_50HLH_2022-07-25_final.stac-item
2022-08-01 11:47:19	ga_s2bm_ard_3-2-1_50HLH_2022-08-01_final.stac-item
2022-09-13 11:55:00	ga_s2bm_ard_3-2-1_50JLS_2022-09-13_final.stac-item
2022-11-02 11:56:38	ga_s2bm_ard_3-2-1_50HLK_2022-11-02_final.stac-item
2022-11-05 12:06:02	ga_s2bm_ard_3-2-1_50JLM_2022-11-05_final.stac-item
2022-11-29 11:46:47	ga_s2bm_ard_3-2-1_50HPJ_2022-11-29_final.stac-item
2022-12-02 11:56:06	ga_s2bm_ard_3-2-1_50JMM_2022-12-02_final.stac-item
2023-01-08 11:47:04	ga_s2bm_ard_3-2-1_50HNH_2023-01-08_final.stac-item
2023-02-03 12:04:43	ga_s2bm_ard_3-2-1_49JGN_2023-02-03_final.stac-item
2023-02-13 12:04:26	ga_s2bm_ard_3-2-1_49KHP_2023-02-13_final
2023-03-08 12:14:02	ga_s2bm_ard_3-2-1_49KGR_2023-03-08_final
2023-04-24 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2023-04-24_final
2023-05-28 11:46:52	ga_s2bm_ard_3-2-1_50HPJ_2023-05-28_final
2023-06-17 11:47:19	ga_s2bm_ard_3-2-1_50HLH_2023-06-17_final
2023-08-26 11:46:30	ga_s2bm_ard_3-2-1_50JML_2023-08-26_final
2023-12-30 12:04:19	ga_s2bm_ard_3-2-1_49KGQ_2023-12-30_final
2024-01-06 11:57:09	ga_s2bm_ard_3-2-1_50HLH_2024-01-06_final
2024-01-26 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2024-01-26_final
2024-02-02 11:46:56	ga_s2bm_ard_3-2-1_50HPH_2024-02-02_final
2024-02-22 11:47:03	ga_s2bm_ard_3-2-1_50HPH_2024-02-22_final
2024-02-28 12:05:36	ga_s2bm_ard_3-2-1_50JLP_2024-02-28_final
2024-03-09 12:03:39	ga_s2bm_ard_3-2-1_49KHS_2024-03-09_final
2024-03-23 11:47:01	ga_s2bm_ard_3-2-1_50HMJ_2024-03-23_final
2024-03-30 11:36:33	ga_s2bm_ard_3-2-1_50HQK_2024-03-30_final
2024-04-05 11:57:12	ga_s2bm_ard_3-2-1_50HLH_2024-04-05_final
2024-04-19 11:36:39	ga_s2bm_ard_3-2-1_50HPK_2024-04-19_final

Return to ga_s2bm_ard_3 whole collection overview

ga_s2bm_ard_3: Geoscience Australia Sentinel 2B MSI Analysis Ready Data Collection 3

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

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