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
2017-09-25 10:31:57	ga_s2bm_ard_3-2-1_53HNB_2017-09-25_final.stac-item
2017-12-14 10:32:21	ga_s2bm_ard_3-2-1_53JQF_2017-12-14_final.stac-item
2017-12-19 11:19:33	ga_s2bm_ard_3-2-1_51KXT_2017-12-19_final.stac-item
2018-01-15 11:11:53	ga_s2bm_ard_3-2-1_52JBL_2018-01-15_final.stac-item
2018-04-26 10:37:26	ga_s2bm_ard_3-2-1_53KPP_2018-04-26_final.stac-item
2018-05-01 11:27:31	ga_s2bm_ard_3-2-1_51KXQ_2018-05-01_final.stac-item
2018-05-23 10:32:01	ga_s2bm_ard_3-2-1_53KPP_2018-05-23_final.stac-item
2018-06-17 11:19:48	ga_s2bm_ard_3-2-1_51KWQ_2018-06-17_final.stac-item
2018-09-02 11:09:38	ga_s2bm_ard_3-2-1_52KBC_2018-09-02_final.stac-item
2019-01-02 10:15:20	ga_s2bm_ard_3-2-1_54JXM_2019-01-02_final.stac-item
2019-01-19 11:43:11	ga_s2bm_ard_3-2-1_51KVT_2019-01-19_final.stac-item
2019-01-28 10:33:46	ga_s2bm_ard_3-2-1_53KRP_2019-01-28_final.stac-item
2019-02-08 11:43:29	ga_s2bm_ard_3-2-1_51KUS_2019-02-08_final.stac-item
2019-04-26 11:33:37	ga_s2bm_ard_3-2-1_51KVS_2019-04-26_final.stac-item
2019-06-22 11:23:21	ga_s2bm_ard_3-2-1_51KXT_2019-06-22_final.stac-item
2019-06-25 11:32:54	ga_s2bm_ard_3-2-1_51KXV_2019-06-25_final.stac-item
2019-07-08 10:06:58	ga_s2bm_ard_3-2-1_54HYF_2019-07-08_final.stac-item
2019-07-17 10:34:12	ga_s2bm_ard_3-2-1_53JQN_2019-07-17_final.stac-item
2019-07-22 11:23:15	ga_s2bm_ard_3-2-1_51KZT_2019-07-22_final.stac-item
2019-08-19 10:44:12	ga_s2bm_ard_3-2-1_53JNN_2019-08-19_final.stac-item
2019-09-17 11:13:53	ga_s2bm_ard_3-2-1_51KZQ_2019-09-17_final.stac-item
2019-10-05 10:34:30	ga_s2bm_ard_3-2-1_54JTR_2019-10-05_final.stac-item
2019-10-08 10:43:49	ga_s2bm_ard_3-2-1_53KPP_2019-10-08_final.stac-item
2019-10-23 11:33:46	ga_s2bm_ard_3-2-1_51KVR_2019-10-23_final.stac-item
2019-11-11 10:26:46	ga_s2bm_ard_3-2-1_53HQB_2019-11-11_final.stac-item
2019-11-21 10:26:21	ga_s2bm_ard_3-2-1_53HPD_2019-11-21_final.stac-item
2019-12-02 11:32:49	ga_s2bm_ard_3-2-1_51KXU_2019-12-02_final.stac-item
2019-12-12 11:33:22	ga_s2bm_ard_3-2-1_51KWS_2019-12-12_final.stac-item
2019-12-24 10:33:48	ga_s2bm_ard_3-2-1_53KPP_2019-12-24_final.stac-item
2020-01-18 11:26:52	ga_s2bm_ard_3-2-1_51HVC_2020-01-18_final.stac-item
2020-02-17 11:23:21	ga_s2bm_ard_3-2-1_51KYS_2020-02-17_final.stac-item
2020-02-26 10:16:39	ga_s2bm_ard_3-2-1_54HVG_2020-02-26_final.stac-item
2020-03-04 10:07:13	ga_s2bm_ard_3-2-1_54HVE_2020-03-04_final.stac-item
2020-03-07 10:17:23	ga_s2bm_ard_3-2-1_54HVD_2020-03-07_final.stac-item
2020-03-08 11:21:23	ga_s2bm_ard_3-2-1_51LZE_2020-03-08_final.stac-item
2020-05-02 10:33:56	ga_s2bm_ard_3-2-1_53JRN_2020-05-02_final.stac-item
2020-05-22 10:34:33	ga_s2bm_ard_3-2-1_53JQL_2020-05-22_final.stac-item
2020-06-01 10:34:16	ga_s2bm_ard_3-2-1_53JRM_2020-06-01_final.stac-item
2020-08-14 10:15:48	ga_s2bm_ard_3-2-1_54JVL_2020-08-14_final.stac-item
2020-08-15 11:23:53	ga_s2bm_ard_3-2-1_51KZQ_2020-08-15_final.stac-item
2020-11-06 11:34:02	ga_s2bm_ard_3-2-1_51KVQ_2020-11-06_final.stac-item
2020-12-12 11:53:21	ga_s2bm_ard_3-2-1_50KNC_2020-12-12_final.stac-item
2020-12-19 11:43:21	ga_s2bm_ard_3-2-1_51KVS_2020-12-19_final.stac-item
2021-01-19 11:13:36	ga_s2bm_ard_3-2-1_52KCA_2021-01-19_final.stac-item
2021-01-20 10:44:06	ga_s2bm_ard_3-2-1_53JNN_2021-01-20_final.stac-item
2021-01-25 11:31:35	ga_s2bm_ard_3-2-1_51LZD_2021-01-25_final.stac-item
2021-01-28 11:47:20	ga_s2bm_ard_3-2-1_50HNG_2021-01-28_final
2021-02-24 11:33:29	ga_s2bm_ard_3-2-1_51KVS_2021-02-24_final.stac-item
2021-03-18 10:34:17	ga_s2bm_ard_3-2-1_53JQM_2021-03-18_final.stac-item
2021-05-29 11:13:55	ga_s2bm_ard_3-2-1_51KZQ_2021-05-29_final.stac-item
2021-06-21 11:26:36	ga_s2bm_ard_3-2-1_51HXD_2021-06-21_final.stac-item
2021-07-03 10:24:35	ga_s2bm_ard_3-2-1_54JTR_2021-07-03_final.stac-item
2021-07-24 11:33:36	ga_s2bm_ard_3-2-1_51KUS_2021-07-24_final.stac-item
2021-08-19 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2021-08-19_final.stac-item
2021-09-15 10:07:18	ga_s2bm_ard_3-2-1_54HXD_2021-09-15_final.stac-item
2021-09-24 10:34:27	ga_s2bm_ard_3-2-1_54JTR_2021-09-24_final.stac-item
2021-10-19 11:23:26	ga_s2bm_ard_3-2-1_51KYS_2021-10-19_final.stac-item
2021-10-31 10:25:07	ga_s2bm_ard_3-2-1_53JQJ_2021-10-31_final.stac-item
2021-12-13 10:33:47	ga_s2bm_ard_3-2-1_53KPP_2021-12-13_final.stac-item
2022-01-13 11:42:56	ga_s2bm_ard_3-2-1_51KUU_2022-01-13_final.stac-item
2022-02-01 10:34:02	ga_s2bm_ard_3-2-1_53JQN_2022-02-01_final.stac-item
2022-02-12 11:42:51	ga_s2bm_ard_3-2-1_51KVU_2022-02-12_final.stac-item
2022-02-15 11:53:04	ga_s2bm_ard_3-2-1_50KRC_2022-02-15_final.stac-item
2022-02-22 11:43:09	ga_s2bm_ard_3-2-1_51KUT_2022-02-22_final.stac-item
2022-03-08 11:23:26	ga_s2bm_ard_3-2-1_51KXS_2022-03-08_final.stac-item
2022-03-25 11:12:00	ga_s2bm_ard_3-2-1_52KEG_2022-03-25_final.stac-item
2022-04-22 10:34:30	ga_s2bm_ard_3-2-1_54JTR_2022-04-22_final.stac-item
2022-05-03 11:43:19	ga_s2bm_ard_3-2-1_51KVS_2022-05-03_final.stac-item
2022-07-15 11:52:24	ga_s2bm_ard_3-2-1_50KQG_2022-07-15_final
2022-07-16 11:23:33	ga_s2bm_ard_3-2-1_51KXS_2022-07-16_final.stac-item
2022-07-21 10:34:23	ga_s2bm_ard_3-2-1_53JQM_2022-07-21_final.stac-item
2022-07-23 11:13:59	ga_s2bm_ard_3-2-1_52KBV_2022-07-23_final.stac-item
2023-01-02 11:24:07	ga_s2bm_ard_3-2-1_51KYP_2023-01-02_final.stac-item
2023-02-27 11:46:38	ga_s2bm_ard_3-2-1_50HNK_2023-02-27_final
2023-03-04 10:50:36	ga_s2bm_ard_3-2-1_53LPG_2023-03-04_final
2023-04-15 11:33:14	ga_s2bm_ard_3-2-1_51KWT_2023-04-15_final
2023-06-03 10:24:38	ga_s2bm_ard_3-2-1_54JTR_2023-06-03_final
2023-06-22 10:50:53	ga_s2bm_ard_3-2-1_53LPF_2023-06-22_final
2023-06-26 10:34:04	ga_s2bm_ard_3-2-1_53JRN_2023-06-26_final
2023-07-06 10:34:05	ga_s2bm_ard_3-2-1_54JTT_2023-07-06_final
2023-07-06 10:35:06	ga_s2bm_ard_3-2-1_53JQJ_2023-07-06_final
2023-07-16 10:36:15	ga_s2bm_ard_3-2-1_53HME_2023-07-16_final
2023-07-27 11:43:35	ga_s2bm_ard_3-2-1_51KUS_2023-07-27_final
2023-08-03 11:33:39	ga_s2bm_ard_3-2-1_51KUS_2023-08-03_final
2023-10-05 11:43:15	ga_s2bm_ard_3-2-1_51KUT_2023-10-05_final
2023-10-26 11:11:05	ga_s2bm_ard_3-2-1_52LEL_2023-10-26_final
2023-11-14 11:41:33	ga_s2bm_ard_3-2-1_51LUE_2023-11-14_final
2023-11-23 10:34:16	ga_s2bm_ard_3-2-1_53JPM_2023-11-23_final
2023-11-24 11:43:06	ga_s2bm_ard_3-2-1_51KVT_2023-11-24_final
2023-12-01 11:33:49	ga_s2bm_ard_3-2-1_51KXQ_2023-12-01_final
2023-12-11 09:56:50	ga_s2bm_ard_3-2-1_54HYF_2023-12-11_final
2023-12-13 10:33:57	ga_s2bm_ard_3-2-1_54JTT_2023-12-13_final
2024-01-09 10:26:45	ga_s2bm_ard_3-2-1_53HQB_2024-01-09_final
2024-01-11 11:00:43	ga_s2bm_ard_3-2-1_52LHM_2024-01-11_final
2024-01-22 10:33:45	ga_s2bm_ard_3-2-1_54KTU_2024-01-22_final
2024-01-24 11:12:18	ga_s2bm_ard_3-2-1_52KFF_2024-01-24_final
2024-02-01 10:33:42	ga_s2bm_ard_3-2-1_54KTU_2024-02-01_final
2024-03-02 10:32:49	ga_s2bm_ard_3-2-1_53KQT_2024-03-02_final
2024-04-11 10:36:36	ga_s2bm_ard_3-2-1_53HNC_2024-04-11_final
2024-05-04 10:45:55	ga_s2bm_ard_3-2-1_53JLF_2024-05-04_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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