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
2019-07-31 11:54:56	ga_s2bm_ard_3-2-1_50JPS_2019-07-31_final.stac-item
2019-07-31 11:54:59	ga_s2bm_ard_3-2-1_50JNS_2019-07-31_final.stac-item
2019-07-31 11:55:03	ga_s2bm_ard_3-2-1_50JMS_2019-07-31_final.stac-item
2019-07-31 11:55:06	ga_s2bm_ard_3-2-1_50JLS_2019-07-31_final.stac-item
2019-08-10 11:54:55	ga_s2bm_ard_3-2-1_50JPS_2019-08-10_final.stac-item
2019-08-10 11:54:58	ga_s2bm_ard_3-2-1_50JNS_2019-08-10_final.stac-item
2019-08-10 11:55:02	ga_s2bm_ard_3-2-1_50JMS_2019-08-10_final.stac-item
2019-08-10 11:55:05	ga_s2bm_ard_3-2-1_50JLS_2019-08-10_final.stac-item
2019-08-24 09:54:03	ga_s2bm_ard_3-2-1_55JFM_2019-08-24_final.stac-item
2019-08-24 09:54:07	ga_s2bm_ard_3-2-1_55JEM_2019-08-24_final.stac-item
2019-08-24 09:54:10	ga_s2bm_ard_3-2-1_55JDM_2019-08-24_final.stac-item
2019-08-24 09:54:14	ga_s2bm_ard_3-2-1_55JCM_2019-08-24_final.stac-item
2019-09-05 10:34:17	ga_s2bm_ard_3-2-1_53JRM_2019-09-05_final.stac-item
2019-09-05 10:34:17	ga_s2bm_ard_3-2-1_54JTS_2019-09-05_final.stac-item
2019-09-05 10:34:21	ga_s2bm_ard_3-2-1_53JQM_2019-09-05_final.stac-item
2019-09-05 10:34:24	ga_s2bm_ard_3-2-1_53JPM_2019-09-05_final.stac-item
2019-09-05 10:34:28	ga_s2bm_ard_3-2-1_53JNM_2019-09-05_final.stac-item
2019-09-05 10:34:32	ga_s2bm_ard_3-2-1_54JTR_2019-09-05_final.stac-item
2019-09-05 10:34:35	ga_s2bm_ard_3-2-1_53JQL_2019-09-05_final.stac-item
2019-09-05 10:34:39	ga_s2bm_ard_3-2-1_53JPL_2019-09-05_final.stac-item
2019-11-16 09:33:48	ga_s2bm_ard_3-2-1_56JNS_2019-11-16_final.stac-item
2019-11-16 09:33:52	ga_s2bm_ard_3-2-1_56JMS_2019-11-16_final.stac-item
2019-11-16 09:33:55	ga_s2bm_ard_3-2-1_56JLS_2019-11-16_final.stac-item
2019-11-16 09:33:59	ga_s2bm_ard_3-2-1_55JHM_2019-11-16_final.stac-item
2019-11-16 09:33:59	ga_s2bm_ard_3-2-1_56JKS_2019-11-16_final.stac-item
2019-11-16 09:34:10	ga_s2bm_ard_3-2-1_56JLR_2019-11-16_final.stac-item
2019-11-16 09:34:13	ga_s2bm_ard_3-2-1_56JKR_2019-11-16_final.stac-item
2019-11-21 12:04:46	ga_s2bm_ard_3-2-1_50JMS_2019-11-21_final.stac-item
2019-11-21 12:04:51	ga_s2bm_ard_3-2-1_50JLS_2019-11-21_final.stac-item
2019-11-21 12:04:54	ga_s2bm_ard_3-2-1_49JHM_2019-11-21_final.stac-item
2019-11-21 12:04:54	ga_s2bm_ard_3-2-1_50JKS_2019-11-21_final.stac-item
2019-11-21 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2019-11-21_final.stac-item
2019-11-21 12:05:06	ga_s2bm_ard_3-2-1_50JLR_2019-11-21_final.stac-item
2019-11-21 12:05:09	ga_s2bm_ard_3-2-1_50JKR_2019-11-21_final.stac-item
2019-11-21 12:05:12	ga_s2bm_ard_3-2-1_49JGL_2019-11-21_final.stac-item
2019-11-25 11:44:37	ga_s2bm_ard_3-2-1_51JUM_2019-11-25_final.stac-item
2019-11-25 11:44:41	ga_s2bm_ard_3-2-1_50JRS_2019-11-25_final.stac-item
2019-11-25 11:44:42	ga_s2bm_ard_3-2-1_51JTM_2019-11-25_final.stac-item
2019-11-25 11:44:45	ga_s2bm_ard_3-2-1_50JQS_2019-11-25_final.stac-item
2019-11-25 11:44:48	ga_s2bm_ard_3-2-1_51JUL_2019-11-25_final.stac-item
2019-11-25 11:44:49	ga_s2bm_ard_3-2-1_50JPS_2019-11-25_final.stac-item
2019-11-25 11:44:56	ga_s2bm_ard_3-2-1_51JTL_2019-11-25_final.stac-item
2019-11-25 11:45:00	ga_s2bm_ard_3-2-1_50JQR_2019-11-25_final.stac-item
2019-11-25 11:45:03	ga_s2bm_ard_3-2-1_50JPR_2019-11-25_final.stac-item
2019-11-28 11:54:44	ga_s2bm_ard_3-2-1_50JPS_2019-11-28_final.stac-item
2019-11-28 11:54:47	ga_s2bm_ard_3-2-1_50JNS_2019-11-28_final.stac-item
2019-11-28 11:54:51	ga_s2bm_ard_3-2-1_50JMS_2019-11-28_final.stac-item
2019-11-28 11:54:54	ga_s2bm_ard_3-2-1_50JLS_2019-11-28_final.stac-item
2019-11-29 09:43:48	ga_s2bm_ard_3-2-1_56JLS_2019-11-29_final.stac-item
2019-11-29 09:43:51	ga_s2bm_ard_3-2-1_55JHM_2019-11-29_final.stac-item
2019-11-29 09:43:51	ga_s2bm_ard_3-2-1_56JKS_2019-11-29_final.stac-item
2019-11-29 09:43:55	ga_s2bm_ard_3-2-1_55JGM_2019-11-29_final.stac-item
2019-11-29 09:43:58	ga_s2bm_ard_3-2-1_55JFM_2019-11-29_final.stac-item
2019-11-29 09:44:01	ga_s2bm_ard_3-2-1_56JLR_2019-11-29_final.stac-item
2019-11-29 09:44:06	ga_s2bm_ard_3-2-1_56JKR_2019-11-29_final.stac-item
2019-11-29 09:44:09	ga_s2bm_ard_3-2-1_55JGL_2019-11-29_final.stac-item
2019-11-29 09:44:13	ga_s2bm_ard_3-2-1_55JFL_2019-11-29_final.stac-item
2019-11-29 11:24:28	ga_s2bm_ard_3-2-1_51JZM_2019-11-29_final.stac-item
2019-11-29 11:24:28	ga_s2bm_ard_3-2-1_52JBS_2019-11-29_final.stac-item
2019-11-29 11:24:32	ga_s2bm_ard_3-2-1_51JYM_2019-11-29_final.stac-item
2019-11-29 11:24:36	ga_s2bm_ard_3-2-1_51JXM_2019-11-29_final.stac-item
2019-11-29 11:24:39	ga_s2bm_ard_3-2-1_52JBR_2019-11-29_final.stac-item
2019-11-29 11:24:40	ga_s2bm_ard_3-2-1_51JWM_2019-11-29_final.stac-item
2019-11-29 11:24:47	ga_s2bm_ard_3-2-1_51JYL_2019-11-29_final.stac-item
2019-11-29 11:24:51	ga_s2bm_ard_3-2-1_51JXL_2019-11-29_final.stac-item
2022-03-07 10:14:04	ga_s2bm_ard_3-2-1_54JYS_2022-03-07_final.stac-item
2022-03-07 10:14:08	ga_s2bm_ard_3-2-1_54JXS_2022-03-07_final.stac-item
2022-03-07 10:14:11	ga_s2bm_ard_3-2-1_54JWS_2022-03-07_final.stac-item
2022-03-07 10:14:15	ga_s2bm_ard_3-2-1_54JVS_2022-03-07_final.stac-item
2022-03-07 10:14:18	ga_s2bm_ard_3-2-1_54JYR_2022-03-07_final.stac-item
2022-03-07 10:14:22	ga_s2bm_ard_3-2-1_54JXR_2022-03-07_final.stac-item
2022-03-10 10:24:06	ga_s2bm_ard_3-2-1_54JWS_2022-03-10_final.stac-item
2022-03-10 10:24:10	ga_s2bm_ard_3-2-1_54JVS_2022-03-10_final.stac-item
2022-03-10 10:24:14	ga_s2bm_ard_3-2-1_54JUS_2022-03-10_final.stac-item
2022-03-10 10:24:16	ga_s2bm_ard_3-2-1_53JRM_2022-03-10_final.stac-item
2022-03-10 10:24:17	ga_s2bm_ard_3-2-1_54JTS_2022-03-10_final.stac-item
2022-03-10 10:24:28	ga_s2bm_ard_3-2-1_54JUR_2022-03-10_final.stac-item
2022-03-10 10:24:31	ga_s2bm_ard_3-2-1_54JTR_2022-03-10_final.stac-item
2022-03-17 10:14:04	ga_s2bm_ard_3-2-1_54JYS_2022-03-17_final.stac-item
2022-03-17 10:14:08	ga_s2bm_ard_3-2-1_54JXS_2022-03-17_final.stac-item
2022-03-17 10:14:11	ga_s2bm_ard_3-2-1_54JWS_2022-03-17_final.stac-item
2022-03-17 10:14:15	ga_s2bm_ard_3-2-1_54JVS_2022-03-17_final.stac-item
2022-03-17 10:14:19	ga_s2bm_ard_3-2-1_54JYR_2022-03-17_final.stac-item
2022-03-17 10:14:23	ga_s2bm_ard_3-2-1_54JXR_2022-03-17_final.stac-item
2022-03-17 11:54:46	ga_s2bm_ard_3-2-1_50JPS_2022-03-17_final.stac-item
2022-03-17 11:54:50	ga_s2bm_ard_3-2-1_50JNS_2022-03-17_final.stac-item
2022-03-17 11:54:53	ga_s2bm_ard_3-2-1_50JMS_2022-03-17_final.stac-item
2022-03-17 11:54:56	ga_s2bm_ard_3-2-1_50JLS_2022-03-17_final.stac-item
2022-03-20 10:24:06	ga_s2bm_ard_3-2-1_54JWS_2022-03-20_final.stac-item
2022-03-20 10:24:10	ga_s2bm_ard_3-2-1_54JVS_2022-03-20_final.stac-item
2022-03-20 10:24:14	ga_s2bm_ard_3-2-1_54JUS_2022-03-20_final.stac-item
2022-03-20 10:24:17	ga_s2bm_ard_3-2-1_53JRM_2022-03-20_final.stac-item
2022-03-20 10:24:17	ga_s2bm_ard_3-2-1_54JTS_2022-03-20_final.stac-item
2022-03-20 10:24:28	ga_s2bm_ard_3-2-1_54JUR_2022-03-20_final.stac-item
2022-03-20 10:24:32	ga_s2bm_ard_3-2-1_54JTR_2022-03-20_final.stac-item
2024-05-19 11:34:42	ga_s2bm_ard_3-2-1_51JVM_2024-05-19_final
2024-05-19 11:34:45	ga_s2bm_ard_3-2-1_51JUM_2024-05-19_final
2024-05-19 11:34:48	ga_s2bm_ard_3-2-1_50JRS_2024-05-19_final
2024-05-19 11:34:48	ga_s2bm_ard_3-2-1_51JTM_2024-05-19_final
2024-05-19 11:35:00	ga_s2bm_ard_3-2-1_51JUL_2024-05-19_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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