Search ga_s2bm_ard_3 on 26th February 2023

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
2023-02-26 10:29:40	ga_s2bm_ard_3-2-1_54LXQ_2023-02-26_final
2023-02-26 10:29:43	ga_s2bm_ard_3-2-1_54LWQ_2023-02-26_final
2023-02-26 10:29:55	ga_s2bm_ard_3-2-1_54LXP_2023-02-26_final
2023-02-26 10:30:01	ga_s2bm_ard_3-2-1_54LVP_2023-02-26_nrt
2023-02-26 10:30:04	ga_s2bm_ard_3-2-1_54LUP_2023-02-26_nrt
2023-02-26 10:30:08	ga_s2bm_ard_3-2-1_54LXN_2023-02-26_final
2023-02-26 10:30:12	ga_s2bm_ard_3-2-1_54LWN_2023-02-26_final
2023-02-26 10:30:16	ga_s2bm_ard_3-2-1_54LVN_2023-02-26_nrt
2023-02-26 10:30:19	ga_s2bm_ard_3-2-1_54LXM_2023-02-26_final
2023-02-26 10:30:19	ga_s2bm_ard_3-2-1_54LUN_2023-02-26_nrt
2023-02-26 10:30:27	ga_s2bm_ard_3-2-1_54LWM_2023-02-26_final
2023-02-26 10:30:30	ga_s2bm_ard_3-2-1_54LVM_2023-02-26_final
2023-02-26 10:30:34	ga_s2bm_ard_3-2-1_54LUM_2023-02-26_nrt
2023-02-26 10:30:38	ga_s2bm_ard_3-2-1_54LTM_2023-02-26_nrt
2023-02-26 10:30:41	ga_s2bm_ard_3-2-1_54LWL_2023-02-26_final
2023-02-26 10:30:48	ga_s2bm_ard_3-2-1_54LUL_2023-02-26_nrt
2023-02-26 10:30:51	ga_s2bm_ard_3-2-1_54LTL_2023-02-26_nrt
2023-02-26 10:30:56	ga_s2bm_ard_3-2-1_54LWK_2023-02-26_final
2023-02-26 10:30:59	ga_s2bm_ard_3-2-1_54LVK_2023-02-26_final
2023-02-26 10:31:03	ga_s2bm_ard_3-2-1_54LUK_2023-02-26_nrt
2023-02-26 10:31:05	ga_s2bm_ard_3-2-1_54LTK_2023-02-26_nrt
2023-02-26 10:31:09	ga_s2bm_ard_3-2-1_54LWJ_2023-02-26_final
2023-02-26 10:31:10	ga_s2bm_ard_3-2-1_53LRE_2023-02-26_nrt
2023-02-26 10:31:14	ga_s2bm_ard_3-2-1_54LTJ_2023-02-26_nrt
2023-02-26 10:31:15	ga_s2bm_ard_3-2-1_53LRD_2023-02-26_nrt
2023-02-26 10:31:16	ga_s2bm_ard_3-2-1_54LWJ_2023-02-26_final
2023-02-26 10:31:19	ga_s2bm_ard_3-2-1_54LUJ_2023-02-26_final
2023-02-26 10:31:21	ga_s2bm_ard_3-2-1_54LTJ_2023-02-26_nrt
2023-02-26 10:31:22	ga_s2bm_ard_3-2-1_53LRD_2023-02-26_nrt
2023-02-26 10:31:23	ga_s2bm_ard_3-2-1_54LWH_2023-02-26_final
2023-02-26 10:31:28	ga_s2bm_ard_3-2-1_54LVH_2023-02-26_final
2023-02-26 10:31:32	ga_s2bm_ard_3-2-1_54LUH_2023-02-26_final
2023-02-26 10:31:33	ga_s2bm_ard_3-2-1_54KWG_2023-02-26_final
2023-02-26 10:31:35	ga_s2bm_ard_3-2-1_54LTH_2023-02-26_nrt
2023-02-26 10:31:36	ga_s2bm_ard_3-2-1_53LRC_2023-02-26_nrt
2023-02-26 10:31:43	ga_s2bm_ard_3-2-1_54KVG_2023-02-26_final
2023-02-26 10:31:46	ga_s2bm_ard_3-2-1_54KUG_2023-02-26_final
2023-02-26 10:31:49	ga_s2bm_ard_3-2-1_54KTG_2023-02-26_final
2023-02-26 10:31:50	ga_s2bm_ard_3-2-1_53KRB_2023-02-26_final
2023-02-26 10:31:57	ga_s2bm_ard_3-2-1_54KVF_2023-02-26_final
2023-02-26 10:32:01	ga_s2bm_ard_3-2-1_54KUF_2023-02-26_final
2023-02-26 10:32:04	ga_s2bm_ard_3-2-1_54KTF_2023-02-26_final
2023-02-26 10:32:05	ga_s2bm_ard_3-2-1_53KRA_2023-02-26_final
2023-02-26 10:32:11	ga_s2bm_ard_3-2-1_53KQA_2023-02-26_final
2023-02-26 10:32:12	ga_s2bm_ard_3-2-1_54KVE_2023-02-26_final
2023-02-26 10:32:15	ga_s2bm_ard_3-2-1_54KUE_2023-02-26_final
2023-02-26 10:32:19	ga_s2bm_ard_3-2-1_54KTE_2023-02-26_final
2023-02-26 10:32:19	ga_s2bm_ard_3-2-1_53KRV_2023-02-26_final
2023-02-26 10:32:23	ga_s2bm_ard_3-2-1_53KQV_2023-02-26_final
2023-02-26 10:32:26	ga_s2bm_ard_3-2-1_54KVD_2023-02-26_final
2023-02-26 10:32:30	ga_s2bm_ard_3-2-1_54KUD_2023-02-26_final
2023-02-26 10:32:33	ga_s2bm_ard_3-2-1_54KTD_2023-02-26_final
2023-02-26 10:32:34	ga_s2bm_ard_3-2-1_53KRU_2023-02-26_final
2023-02-26 10:32:37	ga_s2bm_ard_3-2-1_53KQU_2023-02-26_final
2023-02-26 10:32:37	ga_s2bm_ard_3-2-1_54KVC_2023-02-26_final
2023-02-26 10:32:41	ga_s2bm_ard_3-2-1_54KUC_2023-02-26_final
2023-02-26 10:32:43	ga_s2bm_ard_3-2-1_54KTC_2023-02-26_final
2023-02-26 10:32:43	ga_s2bm_ard_3-2-1_54KVC_2023-02-26_final
2023-02-26 10:32:44	ga_s2bm_ard_3-2-1_53KRT_2023-02-26_final
2023-02-26 10:32:45	ga_s2bm_ard_3-2-1_53KQU_2023-02-26_final
2023-02-26 10:32:45	ga_s2bm_ard_3-2-1_53KQT_2023-02-26_final
2023-02-26 10:34:04	ga_s2bm_ard_3-2-1_53JQN_2023-02-26_final
2023-02-26 10:34:08	ga_s2bm_ard_3-2-1_53JPN_2023-02-26_final
2023-02-26 10:34:14	ga_s2bm_ard_3-2-1_53JNN_2023-02-26_final
2023-02-26 10:34:15	ga_s2bm_ard_3-2-1_53JRM_2023-02-26_final
2023-02-26 10:34:15	ga_s2bm_ard_3-2-1_54JTS_2023-02-26_final
2023-02-26 10:34:19	ga_s2bm_ard_3-2-1_53JQM_2023-02-26_final
2023-02-26 10:34:22	ga_s2bm_ard_3-2-1_53JPM_2023-02-26_final
2023-02-26 10:34:26	ga_s2bm_ard_3-2-1_53JNM_2023-02-26_final
2023-02-26 10:34:30	ga_s2bm_ard_3-2-1_54JTR_2023-02-26_final
2023-02-26 10:34:33	ga_s2bm_ard_3-2-1_53JQL_2023-02-26_final
2023-02-26 10:34:37	ga_s2bm_ard_3-2-1_53JPL_2023-02-26_final
2023-02-26 10:34:40	ga_s2bm_ard_3-2-1_53JNL_2023-02-26_final
2023-02-26 10:34:44	ga_s2bm_ard_3-2-1_54JTQ_2023-02-26_final
2023-02-26 10:34:47	ga_s2bm_ard_3-2-1_53JQK_2023-02-26_final
2023-02-26 10:34:51	ga_s2bm_ard_3-2-1_53JPK_2023-02-26_final
2023-02-26 10:34:55	ga_s2bm_ard_3-2-1_53JNK_2023-02-26_final
2023-02-26 10:34:58	ga_s2bm_ard_3-2-1_54JTP_2023-02-26_final
2023-02-26 10:35:02	ga_s2bm_ard_3-2-1_53JQJ_2023-02-26_final
2023-02-26 10:35:06	ga_s2bm_ard_3-2-1_53JPJ_2023-02-26_final
2023-02-26 10:35:09	ga_s2bm_ard_3-2-1_54JTN_2023-02-26_final
2023-02-26 10:35:09	ga_s2bm_ard_3-2-1_53JNJ_2023-02-26_final
2023-02-26 10:35:15	ga_s2bm_ard_3-2-1_53JMJ_2023-02-26_final
2023-02-26 10:35:16	ga_s2bm_ard_3-2-1_53JQH_2023-02-26_final
2023-02-26 10:35:20	ga_s2bm_ard_3-2-1_53JPH_2023-02-26_final
2023-02-26 10:35:24	ga_s2bm_ard_3-2-1_53JNH_2023-02-26_final
2023-02-26 10:35:27	ga_s2bm_ard_3-2-1_53JMH_2023-02-26_final
2023-02-26 12:14:17	ga_s2bm_ard_3-2-1_49KFQ_2023-02-26_nrt
2023-02-26 12:14:19	ga_s2bm_ard_3-2-1_50KKU_2023-02-26_final
2023-02-26 12:14:21	ga_s2bm_ard_3-2-1_49KHP_2023-02-26_final
2023-02-26 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2023-02-26_final
2023-02-26 12:14:31	ga_s2bm_ard_3-2-1_49KFP_2023-02-26_nrt
2023-02-26 12:14:31	ga_s2bm_ard_3-2-1_49JHN_2023-02-26_final
2023-02-26 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2023-02-26_final
2023-02-26 12:14:46	ga_s2bm_ard_3-2-1_49JFN_2023-02-26_final
2023-02-26 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2023-02-26_final
2023-02-26 12:15:00	ga_s2bm_ard_3-2-1_49JFM_2023-02-26_final
2023-02-26 12:15:11	ga_s2bm_ard_3-2-1_49JGL_2023-02-26_final
2023-02-26 12:15:15	ga_s2bm_ard_3-2-1_49JFL_2023-02-26_nrt
2023-02-26 12:15:20	ga_s2bm_ard_3-2-1_49JGK_2023-02-26_final

Return to ga_s2bm_ard_3 on 26th February 2023 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

2023

February

26th