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
2024-02-21 10:31:49	ga_s2bm_ard_3-2-1_54KTG_2024-02-21_final
2024-02-21 10:32:23	ga_s2bm_ard_3-2-1_53KQV_2024-02-21_final
2024-02-21 10:32:37	ga_s2bm_ard_3-2-1_53KQU_2024-02-21_final
2024-02-21 10:33:03	ga_s2bm_ard_3-2-1_53KRS_2024-02-21_final
2024-02-21 10:33:35	ga_s2bm_ard_3-2-1_53KQQ_2024-02-21_final
2024-02-21 10:33:50	ga_s2bm_ard_3-2-1_53KQP_2024-02-21_final
2024-02-21 10:33:52	ga_s2bm_ard_3-2-1_54JUT_2024-02-21_final
2024-02-21 10:34:00	ga_s2bm_ard_3-2-1_53JRN_2024-02-21_final
2024-02-21 10:34:37	ga_s2bm_ard_3-2-1_53JPL_2024-02-21_final
2024-02-21 10:34:44	ga_s2bm_ard_3-2-1_54JTQ_2024-02-21_final
2024-02-21 10:34:48	ga_s2bm_ard_3-2-1_53JQK_2024-02-21_final
2024-02-21 10:34:51	ga_s2bm_ard_3-2-1_53JPK_2024-02-21_final
2024-02-21 10:35:06	ga_s2bm_ard_3-2-1_53JPJ_2024-02-21_final
2024-02-21 10:35:53	ga_s2bm_ard_3-2-1_53JNF_2024-02-21_final
2024-02-21 10:36:36	ga_s2bm_ard_3-2-1_53HNC_2024-02-21_final
2024-02-21 10:36:51	ga_s2bm_ard_3-2-1_53HNB_2024-02-21_final
2024-02-21 12:13:40	ga_s2bm_ard_3-2-1_50KKB_2024-02-21_final
2024-02-21 12:14:05	ga_s2bm_ard_3-2-1_50KKV_2024-02-21_final
2024-02-21 12:14:08	ga_s2bm_ard_3-2-1_49KGR_2024-02-21_final
2024-02-21 12:14:31	ga_s2bm_ard_3-2-1_49JHN_2024-02-21_final
2024-02-21 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2024-02-21_final
2024-02-21 12:14:46	ga_s2bm_ard_3-2-1_49JFN_2024-02-21_final
2024-02-21 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2024-02-21_final
2024-02-21 12:15:00	ga_s2bm_ard_3-2-1_49JFM_2024-02-21_final
2024-02-22 10:03:56	ga_s2bm_ard_3-2-1_54JYT_2024-02-22_final
2024-02-22 10:04:08	ga_s2bm_ard_3-2-1_54JZS_2024-02-22_final
2024-02-22 10:04:58	ga_s2bm_ard_3-2-1_54JXP_2024-02-22_final
2024-02-22 10:05:13	ga_s2bm_ard_3-2-1_54JXN_2024-02-22_final
2024-02-22 10:06:07	ga_s2bm_ard_3-2-1_54HYJ_2024-02-22_final
2024-02-22 10:06:14	ga_s2bm_ard_3-2-1_54HWJ_2024-02-22_final
2024-02-22 10:06:21	ga_s2bm_ard_3-2-1_54HYH_2024-02-22_final
2024-02-22 10:06:25	ga_s2bm_ard_3-2-1_54HXH_2024-02-22_final
2024-02-22 10:06:29	ga_s2bm_ard_3-2-1_54HWH_2024-02-22_final
2024-02-22 10:06:39	ga_s2bm_ard_3-2-1_54HXG_2024-02-22_final
2024-02-22 10:07:41	ga_s2bm_ard_3-2-1_54HWC_2024-02-22_final
2024-02-22 11:40:58	ga_s2bm_ard_3-2-1_51LWG_2024-02-22_final
2024-02-22 11:41:01	ga_s2bm_ard_3-2-1_51LVG_2024-02-22_final
2024-02-22 11:41:15	ga_s2bm_ard_3-2-1_51LVF_2024-02-22_final
2024-02-22 11:41:26	ga_s2bm_ard_3-2-1_51LWE_2024-02-22_final
2024-02-22 11:41:30	ga_s2bm_ard_3-2-1_51LVE_2024-02-22_final
2024-02-22 11:41:33	ga_s2bm_ard_3-2-1_51LUE_2024-02-22_final
2024-02-22 11:41:48	ga_s2bm_ard_3-2-1_51LUD_2024-02-22_final
2024-02-22 11:42:10	ga_s2bm_ard_3-2-1_51KWB_2024-02-22_final
2024-02-22 11:42:14	ga_s2bm_ard_3-2-1_51KVB_2024-02-22_final
2024-02-22 11:43:04	ga_s2bm_ard_3-2-1_51KTU_2024-02-22_final
2024-02-22 11:43:09	ga_s2bm_ard_3-2-1_50KQD_2024-02-22_final
2024-02-22 11:43:12	ga_s2bm_ard_3-2-1_51KVT_2024-02-22_final
2024-02-22 11:43:15	ga_s2bm_ard_3-2-1_51KUT_2024-02-22_final
2024-02-22 11:43:18	ga_s2bm_ard_3-2-1_51KTT_2024-02-22_final
2024-02-22 11:43:19	ga_s2bm_ard_3-2-1_50KRC_2024-02-22_final
2024-02-22 11:43:22	ga_s2bm_ard_3-2-1_50KQC_2024-02-22_final
2024-02-22 11:43:25	ga_s2bm_ard_3-2-1_51KVS_2024-02-22_final
2024-02-22 11:43:30	ga_s2bm_ard_3-2-1_51KUS_2024-02-22_final
2024-02-22 11:43:33	ga_s2bm_ard_3-2-1_51KTS_2024-02-22_final
2024-02-22 11:43:33	ga_s2bm_ard_3-2-1_50KRB_2024-02-22_final
2024-02-22 11:43:36	ga_s2bm_ard_3-2-1_51KVR_2024-02-22_final
2024-02-22 11:43:44	ga_s2bm_ard_3-2-1_51KUR_2024-02-22_final
2024-02-22 11:43:47	ga_s2bm_ard_3-2-1_51KTR_2024-02-22_final
2024-02-22 11:43:48	ga_s2bm_ard_3-2-1_50KRA_2024-02-22_final
2024-02-22 11:43:58	ga_s2bm_ard_3-2-1_51KUQ_2024-02-22_final
2024-02-22 11:44:02	ga_s2bm_ard_3-2-1_51KTQ_2024-02-22_final
2024-02-22 11:44:02	ga_s2bm_ard_3-2-1_50KRV_2024-02-22_final
2024-02-22 11:44:06	ga_s2bm_ard_3-2-1_50KQV_2024-02-22_final
2024-02-22 11:44:17	ga_s2bm_ard_3-2-1_51KTP_2024-02-22_final
2024-02-22 11:44:20	ga_s2bm_ard_3-2-1_50KQU_2024-02-22_final
2024-02-22 11:44:28	ga_s2bm_ard_3-2-1_51JUN_2024-02-22_final
2024-02-22 11:44:31	ga_s2bm_ard_3-2-1_51JTN_2024-02-22_final
2024-02-22 11:44:35	ga_s2bm_ard_3-2-1_50JQT_2024-02-22_final
2024-02-22 11:44:38	ga_s2bm_ard_3-2-1_50JPT_2024-02-22_final
2024-02-22 11:44:45	ga_s2bm_ard_3-2-1_50JRS_2024-02-22_final
2024-02-22 11:44:49	ga_s2bm_ard_3-2-1_50JQS_2024-02-22_final
2024-02-22 11:44:53	ga_s2bm_ard_3-2-1_50JPS_2024-02-22_final
2024-02-22 11:45:15	ga_s2bm_ard_3-2-1_51JTK_2024-02-22_final
2024-02-22 11:45:18	ga_s2bm_ard_3-2-1_50JQQ_2024-02-22_final
2024-02-22 11:45:29	ga_s2bm_ard_3-2-1_51JTJ_2024-02-22_final
2024-02-22 11:45:36	ga_s2bm_ard_3-2-1_50JPP_2024-02-22_final
2024-02-22 11:45:40	ga_s2bm_ard_3-2-1_50JNP_2024-02-22_final
2024-02-22 11:45:44	ga_s2bm_ard_3-2-1_51JTH_2024-02-22_final
2024-02-22 11:45:51	ga_s2bm_ard_3-2-1_50JPN_2024-02-22_final
2024-02-22 11:46:01	ga_s2bm_ard_3-2-1_50JQM_2024-02-22_final
2024-02-22 11:46:05	ga_s2bm_ard_3-2-1_50JPM_2024-02-22_final
2024-02-22 11:46:16	ga_s2bm_ard_3-2-1_50JQL_2024-02-22_final
2024-02-22 11:46:20	ga_s2bm_ard_3-2-1_50JPL_2024-02-22_final
2024-02-22 11:46:23	ga_s2bm_ard_3-2-1_50JNL_2024-02-22_final
2024-02-22 11:46:26	ga_s2bm_ard_3-2-1_50JML_2024-02-22_final
2024-02-22 11:46:34	ga_s2bm_ard_3-2-1_50HPK_2024-02-22_final
2024-02-22 11:46:41	ga_s2bm_ard_3-2-1_50HMK_2024-02-22_final
2024-02-22 11:46:43	ga_s2bm_ard_3-2-1_50HQJ_2024-02-22_final
2024-02-22 11:46:48	ga_s2bm_ard_3-2-1_50HPJ_2024-02-22_final
2024-02-22 11:46:56	ga_s2bm_ard_3-2-1_50HMJ_2024-02-22_final
2024-02-22 11:47:03	ga_s2bm_ard_3-2-1_50HPH_2024-02-22_final
2024-02-22 11:47:10	ga_s2bm_ard_3-2-1_50HMH_2024-02-22_final
2024-02-22 11:47:17	ga_s2bm_ard_3-2-1_50HPG_2024-02-22_final
2024-02-22 11:47:21	ga_s2bm_ard_3-2-1_50HNG_2024-02-22_final
2024-03-07 11:20:17	ga_s2bm_ard_3-2-1_52LCP_2024-03-07_nrt
2024-03-07 11:20:27	ga_s2bm_ard_3-2-1_52LDN_2024-03-07_nrt
2024-03-07 11:20:46	ga_s2bm_ard_3-2-1_52LCM_2024-03-07_nrt
2024-03-07 11:20:57	ga_s2bm_ard_3-2-1_52LDL_2024-03-07_nrt
2024-03-07 11:27:10	ga_s2bm_ard_3-2-1_51HWA_2024-03-07_nrt
2024-03-08 10:50:00	ga_s2bm_ard_3-2-1_53LPJ_2024-03-08_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