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
2017-09-09 11:51:47	ga_s2bm_ard_3-2-1_50HMH_2017-09-09_final.stac-item
2017-11-01 12:02:36	ga_s2bm_ard_3-2-1_50JKT_2017-11-01_final.stac-item
2017-11-15 11:46:01	ga_s2bm_ard_3-2-1_50HPK_2017-11-15_final.stac-item
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50HMJ_2018-01-24_final.stac-item
2018-02-13 11:43:42	ga_s2bm_ard_3-2-1_50HPK_2018-02-13_final.stac-item
2018-03-04 12:13:12	ga_s2bm_ard_3-2-1_49KHR_2018-03-04_final.stac-item
2018-04-27 11:54:58	ga_s2bm_ard_3-2-1_50HLK_2018-04-27_final.stac-item
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50JMM_2018-06-06_final.stac-item
2018-06-29 12:02:48	ga_s2bm_ard_3-2-1_50JKP_2018-06-29_final.stac-item
2018-07-06 11:51:46	ga_s2bm_ard_3-2-1_50JKP_2018-07-06_final.stac-item
2018-08-19 11:35:15	ga_s2bm_ard_3-2-1_50HPH_2018-08-19_final.stac-item
2018-09-04 11:52:51	ga_s2bm_ard_3-2-1_50JLT_2018-09-04_final.stac-item
2018-09-07 12:02:58	ga_s2bm_ard_3-2-1_49KGP_2018-09-07_final.stac-item
2018-09-17 12:03:21	ga_s2bm_ard_3-2-1_49JGN_2018-09-17_final.stac-item
2018-10-24 11:53:29	ga_s2bm_ard_3-2-1_50JLQ_2018-10-24_final.stac-item
2019-01-19 11:47:02	ga_s2bm_ard_3-2-1_50HPH_2019-01-19_final.stac-item
2019-02-04 12:04:43	ga_s2bm_ard_3-2-1_49JHN_2019-02-04_final.stac-item
2019-02-08 11:46:48	ga_s2bm_ard_3-2-1_50HPJ_2019-02-08_final.stac-item
2019-02-21 11:56:10	ga_s2bm_ard_3-2-1_50JLM_2019-02-21_final.stac-item
2019-02-28 11:46:46	ga_s2bm_ard_3-2-1_50HPJ_2019-02-28_final.stac-item
2019-04-12 11:55:51	ga_s2bm_ard_3-2-1_50JKP_2019-04-12_final.stac-item
2019-04-12 11:56:01	ga_s2bm_ard_3-2-1_50JLN_2019-04-12_final.stac-item
2019-04-12 11:56:30	ga_s2bm_ard_3-2-1_50JLL_2019-04-12_final.stac-item
2019-05-19 11:46:53	ga_s2bm_ard_3-2-1_50HNK_2019-05-19_final.stac-item
2019-07-01 11:56:49	ga_s2bm_ard_3-2-1_50HLK_2019-07-01_final.stac-item
2019-09-15 12:14:13	ga_s2bm_ard_3-2-1_49KGQ_2019-09-15_final.stac-item
2019-09-22 12:05:40	ga_s2bm_ard_3-2-1_50JKP_2019-09-22_final.stac-item
2019-09-29 11:56:40	ga_s2bm_ard_3-2-1_50HLK_2019-09-29_final.stac-item
2019-10-23 11:36:49	ga_s2bm_ard_3-2-1_50HQJ_2019-10-23_final.stac-item
2019-11-25 11:46:09	ga_s2bm_ard_3-2-1_50JMM_2019-11-25_final.stac-item
2019-12-05 11:46:46	ga_s2bm_ard_3-2-1_50HNJ_2019-12-05_final.stac-item
2020-01-20 12:04:36	ga_s2bm_ard_3-2-1_50JKT_2020-01-20_final.stac-item
2020-02-02 12:14:34	ga_s2bm_ard_3-2-1_49JGN_2020-02-02_final.stac-item
2020-03-03 12:14:06	ga_s2bm_ard_3-2-1_49KGQ_2020-03-03_final.stac-item
2020-03-24 11:46:43	ga_s2bm_ard_3-2-1_50HPJ_2020-03-24_final.stac-item
2020-04-10 11:36:48	ga_s2bm_ard_3-2-1_50HPJ_2020-04-10_final.stac-item
2020-05-03 11:46:19	ga_s2bm_ard_3-2-1_50JNL_2020-05-03_final.stac-item
2020-05-23 11:46:26	ga_s2bm_ard_3-2-1_50JML_2020-05-23_final.stac-item
2020-06-18 12:04:45	ga_s2bm_ard_3-2-1_50JKT_2020-06-18_final.stac-item
2020-09-06 12:05:40	ga_s2bm_ard_3-2-1_50JLP_2020-09-06_final.stac-item
2020-09-23 11:55:59	ga_s2bm_ard_3-2-1_50JLN_2020-09-23_final.stac-item
2020-10-16 12:05:41	ga_s2bm_ard_3-2-1_50JLP_2020-10-16_final.stac-item
2020-12-02 11:55:55	ga_s2bm_ard_3-2-1_50JLN_2020-12-02_final.stac-item
2020-12-12 11:57:06	ga_s2bm_ard_3-2-1_50HLH_2020-12-12_final.stac-item
2020-12-28 12:13:56	ga_s2bm_ard_3-2-1_49KGR_2020-12-28_final.stac-item
2021-01-05 11:37:06	ga_s2bm_ard_3-2-1_50HPH_2021-01-05_final.stac-item
2021-01-21 11:57:08	ga_s2bm_ard_3-2-1_50HMH_2021-01-21_final.stac-item
2021-01-28 11:46:26	ga_s2bm_ard_3-2-1_50JML_2021-01-28_final.stac-item
2021-02-20 11:56:09	ga_s2bm_ard_3-2-1_50JLM_2021-02-20_final.stac-item
2021-03-02 11:54:54	ga_s2bm_ard_3-2-1_50JMS_2021-03-02_final.stac-item
2021-03-15 12:04:21	ga_s2bm_ard_3-2-1_49KHP_2021-03-15_final.stac-item
2021-04-25 11:37:16	ga_s2bm_ard_3-2-1_50HPG_2021-04-25_final
2021-05-01 11:55:09	ga_s2bm_ard_3-2-1_50JLR_2021-05-01_final.stac-item
2021-05-07 12:14:10	ga_s2bm_ard_3-2-1_49KGQ_2021-05-07_final.stac-item
2021-06-13 12:05:39	ga_s2bm_ard_3-2-1_50JLP_2021-06-13_final.stac-item
2021-11-01 11:36:35	ga_s2bm_ard_3-2-1_50HQK_2021-11-01_final.stac-item
2021-11-14 11:47:01	ga_s2bm_ard_3-2-1_50HPH_2021-11-14_final.stac-item
2021-11-27 11:55:42	ga_s2bm_ard_3-2-1_50JKP_2021-11-27_final.stac-item
2021-12-07 11:55:41	ga_s2bm_ard_3-2-1_50JKP_2021-12-07_final.stac-item
2021-12-20 12:05:46	ga_s2bm_ard_3-2-1_50JLN_2021-12-20_final.stac-item
2021-12-31 11:36:32	ga_s2bm_ard_3-2-1_50HQK_2021-12-31_final.stac-item
2022-01-13 11:47:02	ga_s2bm_ard_3-2-1_50HNH_2022-01-13_final.stac-item
2022-01-20 11:36:58	ga_s2bm_ard_3-2-1_50HQH_2022-01-20_final.stac-item
2022-01-22 12:13:53	ga_s2bm_ard_3-2-1_49KGR_2022-01-22_final.stac-item
2022-02-02 11:46:20	ga_s2bm_ard_3-2-1_50JML_2022-02-02_final.stac-item
2022-03-14 11:46:46	ga_s2bm_ard_3-2-1_50HPJ_2022-03-14_final.stac-item
2022-06-05 11:55:42	ga_s2bm_ard_3-2-1_50JLP_2022-06-05_final.stac-item
2022-06-22 11:46:30	ga_s2bm_ard_3-2-1_50JML_2022-06-22_final.stac-item
2022-07-05 11:56:13	ga_s2bm_ard_3-2-1_50JMM_2022-07-05_final.stac-item
2022-07-22 11:46:18	ga_s2bm_ard_3-2-1_50JMM_2022-07-22_final.stac-item
2022-08-27 12:03:59	ga_s2bm_ard_3-2-1_49KHR_2022-08-27_final.stac-item
2022-09-27 11:36:38	ga_s2bm_ard_3-2-1_50HPK_2022-09-27_final.stac-item
2022-11-16 11:36:51	ga_s2bm_ard_3-2-1_50HPJ_2022-11-16_final.stac-item
2022-12-12 11:56:05	ga_s2bm_ard_3-2-1_50JMM_2022-12-12_final.stac-item
2022-12-19 11:46:33	ga_s2bm_ard_3-2-1_50HPK_2022-12-19_final.stac-item
2022-12-19 11:47:01	ga_s2bm_ard_3-2-1_50HPH_2022-12-19_final.stac-item
2023-01-11 11:55:42	ga_s2bm_ard_3-2-1_50JKP_2023-01-11_final.stac-item
2023-01-11 11:57:02	ga_s2bm_ard_3-2-1_50HMH_2023-01-11_final.stac-item
2023-01-31 11:56:05	ga_s2bm_ard_3-2-1_50JMM_2023-01-31_final.stac-item
2023-02-10 11:55:40	ga_s2bm_ard_3-2-1_50JLP_2023-02-10_final.stac-item
2023-02-10 11:56:21	ga_s2bm_ard_3-2-1_50JML_2023-02-10_final.stac-item
2023-03-12 11:56:26	ga_s2bm_ard_3-2-1_50JML_2023-03-12_final
2023-04-14 12:04:40	ga_s2bm_ard_3-2-1_50JLT_2023-04-14_final
2023-05-18 11:46:53	ga_s2bm_ard_3-2-1_50HPJ_2023-05-18_final
2023-05-28 11:46:52	ga_s2bm_ard_3-2-1_50HPJ_2023-05-28_final
2023-06-17 11:46:17	ga_s2bm_ard_3-2-1_50JMM_2023-06-17_final
2023-06-20 11:56:41	ga_s2bm_ard_3-2-1_50HMK_2023-06-20_final
2023-06-30 11:56:09	ga_s2bm_ard_3-2-1_50JLN_2023-06-30_final
2023-07-17 11:46:31	ga_s2bm_ard_3-2-1_50JML_2023-07-17_final
2023-07-17 11:46:39	ga_s2bm_ard_3-2-1_50HPK_2023-07-17_final
2023-09-28 11:55:49	ga_s2bm_ard_3-2-1_50JKP_2023-09-28_final
2023-10-25 11:46:14	ga_s2bm_ard_3-2-1_50JMM_2023-10-25_final
2023-10-31 12:04:45	ga_s2bm_ard_3-2-1_50JKT_2023-10-31_final
2023-11-20 12:04:54	ga_s2bm_ard_3-2-1_50JKS_2023-11-20_final
2023-12-07 11:56:22	ga_s2bm_ard_3-2-1_50JLL_2023-12-07_final
2024-01-30 11:37:24	ga_s2bm_ard_3-2-1_50HNG_2024-01-30_final
2024-02-02 11:47:04	ga_s2bm_ard_3-2-1_50HNH_2024-02-02_final
2024-02-12 11:46:27	ga_s2bm_ard_3-2-1_50JML_2024-02-12_final
2024-02-18 12:04:19	ga_s2bm_ard_3-2-1_49KGQ_2024-02-18_final
2024-04-12 11:46:52	ga_s2bm_ard_3-2-1_50HNJ_2024-04-12_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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