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
2019-07-29 09:33:58	ga_s2bm_ard_3-2-1_56JNS_2019-07-29_final.stac-item
2019-07-29 09:34:02	ga_s2bm_ard_3-2-1_56JMS_2019-07-29_final.stac-item
2019-07-29 09:34:05	ga_s2bm_ard_3-2-1_56JLS_2019-07-29_final.stac-item
2019-07-29 09:34:09	ga_s2bm_ard_3-2-1_55JHM_2019-07-29_final.stac-item
2019-07-29 09:34:09	ga_s2bm_ard_3-2-1_56JKS_2019-07-29_final.stac-item
2019-08-01 11:24:40	ga_s2bm_ard_3-2-1_51JZM_2019-08-01_final.stac-item
2019-08-01 11:24:40	ga_s2bm_ard_3-2-1_52JBS_2019-08-01_final.stac-item
2019-08-01 11:24:45	ga_s2bm_ard_3-2-1_51JYM_2019-08-01_final.stac-item
2019-08-01 11:24:49	ga_s2bm_ard_3-2-1_51JXM_2019-08-01_final.stac-item
2019-08-01 11:24:51	ga_s2bm_ard_3-2-1_52JBR_2019-08-01_final.stac-item
2019-08-01 11:24:52	ga_s2bm_ard_3-2-1_51JWM_2019-08-01_final.stac-item
2019-08-01 11:24:59	ga_s2bm_ard_3-2-1_51JYL_2019-08-01_final.stac-item
2019-08-05 11:04:32	ga_s2bm_ard_3-2-1_52JGS_2019-08-05_final.stac-item
2019-08-05 11:04:36	ga_s2bm_ard_3-2-1_52JFS_2019-08-05_final.stac-item
2019-08-05 11:04:40	ga_s2bm_ard_3-2-1_52JES_2019-08-05_final.stac-item
2019-08-05 11:04:43	ga_s2bm_ard_3-2-1_52JDS_2019-08-05_final.stac-item
2019-08-07 11:44:48	ga_s2bm_ard_3-2-1_51JUM_2019-08-07_final.stac-item
2019-08-07 11:44:52	ga_s2bm_ard_3-2-1_50JRS_2019-08-07_final.stac-item
2019-08-07 11:44:52	ga_s2bm_ard_3-2-1_51JTM_2019-08-07_final.stac-item
2019-08-07 11:44:56	ga_s2bm_ard_3-2-1_50JQS_2019-08-07_final.stac-item
2019-08-07 11:45:00	ga_s2bm_ard_3-2-1_50JPS_2019-08-07_final.stac-item
2019-08-07 11:45:07	ga_s2bm_ard_3-2-1_51JTL_2019-08-07_final.stac-item
2019-08-07 11:45:11	ga_s2bm_ard_3-2-1_50JQR_2019-08-07_final.stac-item
2019-08-08 09:33:57	ga_s2bm_ard_3-2-1_56JNS_2019-08-08_final.stac-item
2019-08-08 09:34:01	ga_s2bm_ard_3-2-1_56JMS_2019-08-08_final.stac-item
2019-08-08 09:34:04	ga_s2bm_ard_3-2-1_56JLS_2019-08-08_final.stac-item
2019-08-08 09:34:08	ga_s2bm_ard_3-2-1_55JHM_2019-08-08_final.stac-item
2019-08-08 09:34:08	ga_s2bm_ard_3-2-1_56JKS_2019-08-08_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
2019-08-18 09:33:56	ga_s2bm_ard_3-2-1_56JNS_2019-08-18_final.stac-item
2019-08-18 09:34:00	ga_s2bm_ard_3-2-1_56JMS_2019-08-18_final.stac-item
2019-08-18 09:34:03	ga_s2bm_ard_3-2-1_56JLS_2019-08-18_final.stac-item
2019-08-18 09:34:07	ga_s2bm_ard_3-2-1_55JHM_2019-08-18_final.stac-item
2019-08-18 09:34:07	ga_s2bm_ard_3-2-1_56JKS_2019-08-18_final.stac-item
2024-03-19 10:24:33	ga_s2bm_ard_3-2-1_54JTR_2024-03-19_final
2024-04-04 10:44:14	ga_s2bm_ard_3-2-1_53JPM_2024-04-04_final
2024-04-04 10:44:19	ga_s2bm_ard_3-2-1_53JNM_2024-04-04_final
2024-04-04 10:44:22	ga_s2bm_ard_3-2-1_53JMM_2024-04-04_final
2024-04-04 10:44:25	ga_s2bm_ard_3-2-1_53JLM_2024-04-04_final
2024-04-06 09:43:51	ga_s2bm_ard_3-2-1_56JLS_2024-04-06_final
2024-04-06 09:43:54	ga_s2bm_ard_3-2-1_55JHM_2024-04-06_final
2024-04-06 09:43:54	ga_s2bm_ard_3-2-1_56JKS_2024-04-06_final
2024-04-06 09:43:57	ga_s2bm_ard_3-2-1_55JGM_2024-04-06_final
2024-04-06 09:44:01	ga_s2bm_ard_3-2-1_55JFM_2024-04-06_final
2024-04-06 09:44:08	ga_s2bm_ard_3-2-1_56JKR_2024-04-06_final
2024-04-06 09:44:12	ga_s2bm_ard_3-2-1_55JGL_2024-04-06_final
2024-04-06 11:24:34	ga_s2bm_ard_3-2-1_51JZM_2024-04-06_final
2024-04-06 11:24:34	ga_s2bm_ard_3-2-1_52JBS_2024-04-06_final
2024-04-06 11:24:37	ga_s2bm_ard_3-2-1_51JYM_2024-04-06_final
2024-04-06 11:24:39	ga_s2bm_ard_3-2-1_51JXM_2024-04-06_final
2024-04-06 11:24:42	ga_s2bm_ard_3-2-1_52JBR_2024-04-06_final
2024-04-06 11:24:42	ga_s2bm_ard_3-2-1_51JWM_2024-04-06_final
2024-04-06 11:24:49	ga_s2bm_ard_3-2-1_51JYL_2024-04-06_final
2024-04-08 10:24:21	ga_s2bm_ard_3-2-1_53JRM_2024-04-08_final
2024-04-08 10:24:21	ga_s2bm_ard_3-2-1_54JTS_2024-04-08_final
2024-04-08 10:24:33	ga_s2bm_ard_3-2-1_54JTR_2024-04-08_final
2024-04-23 11:14:31	ga_s2bm_ard_3-2-1_52JDS_2024-04-23_final
2024-04-23 11:14:34	ga_s2bm_ard_3-2-1_52JCS_2024-04-23_final
2024-04-23 11:14:37	ga_s2bm_ard_3-2-1_51JZM_2024-04-23_final
2024-04-23 11:14:38	ga_s2bm_ard_3-2-1_52JBS_2024-04-23_final
2024-04-23 11:14:41	ga_s2bm_ard_3-2-1_51JYM_2024-04-23_final
2024-04-23 11:14:52	ga_s2bm_ard_3-2-1_52JBR_2024-04-23_final
2024-04-23 11:14:55	ga_s2bm_ard_3-2-1_51JYL_2024-04-23_final
2024-04-24 10:44:16	ga_s2bm_ard_3-2-1_53JPM_2024-04-24_final
2024-04-24 10:44:20	ga_s2bm_ard_3-2-1_53JNM_2024-04-24_final
2024-04-24 10:44:23	ga_s2bm_ard_3-2-1_53JMM_2024-04-24_final
2024-04-24 10:44:27	ga_s2bm_ard_3-2-1_53JLM_2024-04-24_final
2024-04-26 09:43:51	ga_s2bm_ard_3-2-1_56JLS_2024-04-26_final
2024-04-26 09:43:54	ga_s2bm_ard_3-2-1_55JHM_2024-04-26_final
2024-04-26 09:43:54	ga_s2bm_ard_3-2-1_56JKS_2024-04-26_final
2024-05-10 11:04:25	ga_s2bm_ard_3-2-1_52JGS_2024-05-10_nrt
2024-05-10 11:04:30	ga_s2bm_ard_3-2-1_52JFS_2024-05-10_nrt
2024-05-10 11:04:33	ga_s2bm_ard_3-2-1_52JES_2024-05-10_nrt
2024-05-10 11:04:37	ga_s2bm_ard_3-2-1_52JDS_2024-05-10_nrt
2024-05-11 10:34:15	ga_s2bm_ard_3-2-1_53JRM_2024-05-11_nrt
2024-05-11 10:34:15	ga_s2bm_ard_3-2-1_54JTS_2024-05-11_nrt
2024-05-11 10:34:19	ga_s2bm_ard_3-2-1_53JQM_2024-05-11_nrt
2024-05-11 10:34:22	ga_s2bm_ard_3-2-1_53JPM_2024-05-11_nrt
2024-05-11 10:34:26	ga_s2bm_ard_3-2-1_53JNM_2024-05-11_nrt
2024-05-11 10:34:30	ga_s2bm_ard_3-2-1_54JTR_2024-05-11_nrt
2024-05-11 10:34:33	ga_s2bm_ard_3-2-1_53JQL_2024-05-11_nrt
2024-05-11 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2024-05-11_final
2024-05-11 12:15:00	ga_s2bm_ard_3-2-1_49JFM_2024-05-11_final
2024-05-13 11:14:31	ga_s2bm_ard_3-2-1_52JDS_2024-05-13_nrt
2024-05-13 11:14:34	ga_s2bm_ard_3-2-1_52JCS_2024-05-13_nrt
2024-05-13 11:14:37	ga_s2bm_ard_3-2-1_51JZM_2024-05-13_nrt
2024-05-13 11:14:41	ga_s2bm_ard_3-2-1_51JYM_2024-05-13_nrt
2024-05-13 11:14:52	ga_s2bm_ard_3-2-1_52JBR_2024-05-13_nrt
2024-05-13 11:14:55	ga_s2bm_ard_3-2-1_51JYL_2024-05-13_nrt
2024-05-14 10:44:16	ga_s2bm_ard_3-2-1_53JPM_2024-05-14_nrt
2024-05-14 10:44:20	ga_s2bm_ard_3-2-1_53JNM_2024-05-14_nrt
2024-05-14 10:44:23	ga_s2bm_ard_3-2-1_53JMM_2024-05-14_nrt
2024-05-14 10:44:27	ga_s2bm_ard_3-2-1_53JLM_2024-05-14_nrt
2024-05-15 10:14:05	ga_s2bm_ard_3-2-1_54JYS_2024-05-15_nrt
2024-05-15 10:14:09	ga_s2bm_ard_3-2-1_54JXS_2024-05-15_nrt
2024-05-15 10:14:12	ga_s2bm_ard_3-2-1_54JWS_2024-05-15_nrt
2024-05-15 10:14:16	ga_s2bm_ard_3-2-1_54JVS_2024-05-15_nrt

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

All years