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
2023-01-03 10:54:20	ga_s2bm_ard_3-2-1_52JFT_2023-01-03_final.stac-item
2023-01-03 10:54:32	ga_s2bm_ard_3-2-1_52JFS_2023-01-03_final.stac-item
2023-01-03 10:54:43	ga_s2bm_ard_3-2-1_52JGR_2023-01-03_final.stac-item
2023-01-04 12:03:57	ga_s2bm_ard_3-2-1_50KKA_2023-01-04_final.stac-item
2023-01-04 12:04:08	ga_s2bm_ard_3-2-1_50KLV_2023-01-04_final.stac-item
2023-01-04 12:04:20	ga_s2bm_ard_3-2-1_50KMU_2023-01-04_final.stac-item
2023-01-04 12:04:23	ga_s2bm_ard_3-2-1_50KLU_2023-01-04_final.stac-item
2023-01-04 12:04:26	ga_s2bm_ard_3-2-1_49KHP_2023-01-04_final.stac-item
2023-01-04 12:04:52	ga_s2bm_ard_3-2-1_50JLS_2023-01-04_final.stac-item
2023-01-04 12:04:55	ga_s2bm_ard_3-2-1_49JHM_2023-01-04_final.stac-item
2023-01-04 12:05:06	ga_s2bm_ard_3-2-1_50JLR_2023-01-04_final.stac-item
2023-01-04 12:05:13	ga_s2bm_ard_3-2-1_49JGL_2023-01-04_final.stac-item
2023-01-04 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2023-01-04_final.stac-item
2023-01-04 12:05:42	ga_s2bm_ard_3-2-1_49JGJ_2023-01-04_final.stac-item
2023-01-04 12:05:54	ga_s2bm_ard_3-2-1_50JKN_2023-01-04_final.stac-item
2023-01-05 11:31:22	ga_s2bm_ard_3-2-1_51LYE_2023-01-05_final.stac-item
2023-01-05 11:31:29	ga_s2bm_ard_3-2-1_51LWE_2023-01-05_final.stac-item
2023-01-05 11:31:47	ga_s2bm_ard_3-2-1_51LZC_2023-01-05_final.stac-item
2023-01-05 11:32:20	ga_s2bm_ard_3-2-1_51KYA_2023-01-05_final.stac-item
2023-01-05 11:32:24	ga_s2bm_ard_3-2-1_51KXA_2023-01-05_final.stac-item
2023-01-05 11:32:35	ga_s2bm_ard_3-2-1_51KYV_2023-01-05_final.stac-item
2023-01-05 11:32:39	ga_s2bm_ard_3-2-1_51KWV_2023-01-05_final.stac-item
2023-01-05 11:32:42	ga_s2bm_ard_3-2-1_51KYV_2023-01-05_final.stac-item
2023-01-05 11:32:44	ga_s2bm_ard_3-2-1_51KXV_2023-01-05_final.stac-item
2023-01-05 11:32:45	ga_s2bm_ard_3-2-1_51KWV_2023-01-05_final.stac-item
2023-01-05 11:32:47	ga_s2bm_ard_3-2-1_51KVV_2023-01-05_final.stac-item
2023-01-05 11:32:59	ga_s2bm_ard_3-2-1_51KVU_2023-01-05_final.stac-item
2023-01-05 11:33:50	ga_s2bm_ard_3-2-1_51KXQ_2023-01-05_final.stac-item
2023-01-05 11:34:01	ga_s2bm_ard_3-2-1_51KUQ_2023-01-05_final.stac-item
2023-01-05 11:34:03	ga_s2bm_ard_3-2-1_51KXP_2023-01-05_final.stac-item
2023-01-05 11:34:30	ga_s2bm_ard_3-2-1_51JUN_2023-01-05_final.stac-item
2023-01-05 11:34:35	ga_s2bm_ard_3-2-1_50JRT_2023-01-05_final.stac-item
2023-01-05 11:34:38	ga_s2bm_ard_3-2-1_51JWM_2023-01-05_final.stac-item
2023-01-05 11:34:41	ga_s2bm_ard_3-2-1_51JVM_2023-01-05_final.stac-item
2023-01-05 11:34:44	ga_s2bm_ard_3-2-1_51JUM_2023-01-05_final.stac-item
2023-01-05 11:34:52	ga_s2bm_ard_3-2-1_51JWL_2023-01-05_final.stac-item
2023-01-05 11:34:56	ga_s2bm_ard_3-2-1_51JVL_2023-01-05_final.stac-item
2023-01-05 11:35:02	ga_s2bm_ard_3-2-1_51JTL_2023-01-05_final.stac-item
2023-01-05 11:36:03	ga_s2bm_ard_3-2-1_50JQM_2023-01-05_final.stac-item
2023-01-05 11:36:18	ga_s2bm_ard_3-2-1_50JQL_2023-01-05_final.stac-item
2023-01-05 11:36:32	ga_s2bm_ard_3-2-1_51HVD_2023-01-05_final.stac-item
2023-01-05 11:36:59	ga_s2bm_ard_3-2-1_51HTC_2023-01-05_final.stac-item
2023-01-05 11:37:05	ga_s2bm_ard_3-2-1_50HPH_2023-01-05_final.stac-item
2023-01-06 11:04:12	ga_s2bm_ard_3-2-1_52JFT_2023-01-06_final.stac-item
2023-01-06 11:04:16	ga_s2bm_ard_3-2-1_52JET_2023-01-06_final.stac-item
2023-01-06 11:04:19	ga_s2bm_ard_3-2-1_52JDT_2023-01-06_final.stac-item
2023-01-06 11:04:27	ga_s2bm_ard_3-2-1_52JFS_2023-01-06_final.stac-item
2023-01-06 11:04:30	ga_s2bm_ard_3-2-1_52JES_2023-01-06_final.stac-item
2023-01-06 11:05:50	ga_s2bm_ard_3-2-1_52JCM_2023-01-06_final.stac-item
2023-01-06 11:05:56	ga_s2bm_ard_3-2-1_52JBM_2023-01-06_final.stac-item
2023-01-06 11:06:01	ga_s2bm_ard_3-2-1_52JDL_2023-01-06_final.stac-item
2023-01-06 11:06:13	ga_s2bm_ard_3-2-1_52JBL_2023-01-06_final.stac-item
2023-01-06 11:06:34	ga_s2bm_ard_3-2-1_51HYD_2023-01-06_final.stac-item
2023-01-07 12:13:52	ga_s2bm_ard_3-2-1_50KKA_2023-01-07_final.stac-item
2023-01-07 12:13:56	ga_s2bm_ard_3-2-1_49KGR_2023-01-07_final.stac-item
2023-01-07 12:14:19	ga_s2bm_ard_3-2-1_49KHP_2023-01-07_final.stac-item
2023-01-07 12:14:39	ga_s2bm_ard_3-2-1_49JGN_2023-01-07_final.stac-item
2023-01-07 12:15:17	ga_s2bm_ard_3-2-1_49JGK_2023-01-07_final.stac-item
2023-01-08 11:41:15	ga_s2bm_ard_3-2-1_51LUF_2023-01-08_final.stac-item
2023-01-08 11:41:23	ga_s2bm_ard_3-2-1_51LWE_2023-01-08_final.stac-item
2023-01-08 11:41:56	ga_s2bm_ard_3-2-1_51LVC_2023-01-08_final.stac-item
2023-01-08 11:42:39	ga_s2bm_ard_3-2-1_51KVV_2023-01-08_final.stac-item
2023-01-08 11:42:54	ga_s2bm_ard_3-2-1_51KVU_2023-01-08_final.stac-item
2023-01-08 11:43:15	ga_s2bm_ard_3-2-1_50KRC_2023-01-08_final.stac-item
2023-01-08 11:43:41	ga_s2bm_ard_3-2-1_51KUR_2023-01-08_final.stac-item
2023-01-08 11:43:44	ga_s2bm_ard_3-2-1_51KTR_2023-01-08_final.stac-item
2023-01-08 11:43:44	ga_s2bm_ard_3-2-1_50KRA_2023-01-08_final.stac-item
2023-01-08 11:43:48	ga_s2bm_ard_3-2-1_50KQA_2023-01-08_final.stac-item
2023-01-08 11:43:59	ga_s2bm_ard_3-2-1_51KTQ_2023-01-08_final.stac-item
2023-01-08 11:44:24	ga_s2bm_ard_3-2-1_51JUN_2023-01-08_final.stac-item
2023-01-08 11:44:28	ga_s2bm_ard_3-2-1_50JRT_2023-01-08_final.stac-item
2023-01-08 11:44:57	ga_s2bm_ard_3-2-1_51JTL_2023-01-08_final.stac-item
2023-01-08 11:45:22	ga_s2bm_ard_3-2-1_50JNQ_2023-01-08_final.stac-item
2023-01-08 11:45:33	ga_s2bm_ard_3-2-1_50JPP_2023-01-08_final.stac-item
2023-01-08 11:45:47	ga_s2bm_ard_3-2-1_50JPN_2023-01-08_final.stac-item
2023-01-08 11:46:02	ga_s2bm_ard_3-2-1_50JPM_2023-01-08_final.stac-item
2023-01-08 11:46:12	ga_s2bm_ard_3-2-1_50JQL_2023-01-08_final.stac-item
2023-01-08 11:46:40	ga_s2bm_ard_3-2-1_50HQJ_2023-01-08_final.stac-item
2023-01-08 11:46:59	ga_s2bm_ard_3-2-1_50HPH_2023-01-08_final.stac-item
2023-01-09 11:14:05	ga_s2bm_ard_3-2-1_52JET_2023-01-09_final.stac-item
2023-01-09 11:14:17	ga_s2bm_ard_3-2-1_52JCT_2023-01-09_final.stac-item
2023-01-09 11:14:26	ga_s2bm_ard_3-2-1_51JYN_2023-01-09_final.stac-item
2023-01-09 11:14:28	ga_s2bm_ard_3-2-1_52JDS_2023-01-09_final.stac-item
2023-01-09 11:14:32	ga_s2bm_ard_3-2-1_52JCS_2023-01-09_final.stac-item
2023-01-09 11:14:38	ga_s2bm_ard_3-2-1_51JYM_2023-01-09_final.stac-item
2023-01-09 11:15:26	ga_s2bm_ard_3-2-1_51JXJ_2023-01-09_final.stac-item
2023-01-09 11:15:48	ga_s2bm_ard_3-2-1_52JBM_2023-01-09_final.stac-item
2023-01-09 11:15:50	ga_s2bm_ard_3-2-1_51JYG_2023-01-09_final.stac-item
2023-01-09 11:15:59	ga_s2bm_ard_3-2-1_52JCL_2023-01-09_final.stac-item
2023-01-09 11:16:05	ga_s2bm_ard_3-2-1_51JYF_2023-01-09_final.stac-item
2023-01-09 11:16:41	ga_s2bm_ard_3-2-1_51HWD_2023-01-09_final.stac-item
2023-01-21 11:50:27	ga_s2bm_ard_3-2-1_51LUJ_2023-01-21_nrt.stac-item
2023-01-21 11:50:57	ga_s2bm_ard_3-2-1_51LUG_2023-01-21_nrt.stac-item
2023-01-21 11:51:24	ga_s2bm_ard_3-2-1_50LPL_2023-01-21_nrt.stac-item
2023-01-21 11:51:34	ga_s2bm_ard_3-2-1_50LQK_2023-01-21_nrt.stac-item
2023-01-21 11:52:03	ga_s2bm_ard_3-2-1_50LQH_2023-01-21_nrt.stac-item
2023-01-21 11:52:13	ga_s2bm_ard_3-2-1_51KTB_2023-01-21_nrt.stac-item
2023-01-21 11:56:31	ga_s2bm_ard_3-2-1_49JGF_2023-01-21_nrt.stac-item
2023-01-21 11:57:12	ga_s2bm_ard_3-2-1_49HGC_2023-01-21_nrt.stac-item
2023-01-21 11:57:23	ga_s2bm_ard_3-2-1_49HGB_2023-01-21_nrt.stac-item

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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