Search ga_s2bm_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. 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 (e.g. ‘epsg:32654’) :

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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. For Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2023-08-25 10:29:47	ga_s2bm_ard_3-2-1_54LWQ_2023-08-25_final.stac-item
2023-08-25 10:30:01	ga_s2bm_ard_3-2-1_54LWP_2023-08-25_final.stac-item
2023-08-25 10:30:34	ga_s2bm_ard_3-2-1_54LVM_2023-08-25_final.stac-item
2023-08-25 10:30:43	ga_s2bm_ard_3-2-1_54LWL_2023-08-25_final.stac-item
2023-08-25 10:30:51	ga_s2bm_ard_3-2-1_54LVL_2023-08-25_final.stac-item
2023-08-25 10:31:21	ga_s2bm_ard_3-2-1_54LUJ_2023-08-25_final.stac-item
2023-08-25 10:31:35	ga_s2bm_ard_3-2-1_54LUH_2023-08-25_final.stac-item
2023-08-25 10:32:08	ga_s2bm_ard_3-2-1_53KRA_2023-08-25_final.stac-item
2023-08-25 10:32:55	ga_s2bm_ard_3-2-1_53KQT_2023-08-25_final.stac-item
2023-08-25 10:33:06	ga_s2bm_ard_3-2-1_53KRS_2023-08-25_final.stac-item
2023-08-25 10:33:17	ga_s2bm_ard_3-2-1_54KUA_2023-08-25_final.stac-item
2023-08-25 10:33:35	ga_s2bm_ard_3-2-1_54KTV_2023-08-25_final.stac-item
2023-08-25 10:33:53	ga_s2bm_ard_3-2-1_53KQP_2023-08-25_final.stac-item
2023-08-25 10:34:04	ga_s2bm_ard_3-2-1_54JTT_2023-08-25_final.stac-item
2023-08-25 10:34:48	ga_s2bm_ard_3-2-1_54JTQ_2023-08-25_final.stac-item
2023-08-25 10:36:25	ga_s2bm_ard_3-2-1_53HLD_2023-08-25_final.stac-item
2023-08-25 10:36:29	ga_s2bm_ard_3-2-1_53HMD_2023-08-25_final.stac-item
2023-08-25 12:13:44	ga_s2bm_ard_3-2-1_49KHS_2023-08-25_final.stac-item
2023-08-25 12:14:02	ga_s2bm_ard_3-2-1_49KGR_2023-08-25_final.stac-item
2023-08-25 12:14:17	ga_s2bm_ard_3-2-1_49KGQ_2023-08-25_final.stac-item
2023-08-25 12:14:25	ga_s2bm_ard_3-2-1_49KHP_2023-08-25_final.stac-item
2023-08-26 10:01:42	ga_s2bm_ard_3-2-1_55KCB_2023-08-26_final.stac-item
2023-08-26 10:02:09	ga_s2bm_ard_3-2-1_55KDV_2023-08-26_final.stac-item
2023-08-26 10:02:23	ga_s2bm_ard_3-2-1_55KDU_2023-08-26_final.stac-item
2023-08-26 10:02:49	ga_s2bm_ard_3-2-1_55KES_2023-08-26_final.stac-item
2023-08-26 10:02:59	ga_s2bm_ard_3-2-1_54KZB_2023-08-26_final.stac-item
2023-08-26 10:03:02	ga_s2bm_ard_3-2-1_55KER_2023-08-26_final.stac-item
2023-08-26 10:03:09	ga_s2bm_ard_3-2-1_54KZA_2023-08-26_final.stac-item
2023-08-26 10:03:12	ga_s2bm_ard_3-2-1_55KDQ_2023-08-26_final.stac-item
2023-08-26 10:03:21	ga_s2bm_ard_3-2-1_55KDQ_2023-08-26_final.stac-item
2023-08-26 10:03:57	ga_s2bm_ard_3-2-1_54JZT_2023-08-26_final.stac-item
2023-08-26 10:04:37	ga_s2bm_ard_3-2-1_55JCK_2023-08-26_final.stac-item
2023-08-26 10:04:48	ga_s2bm_ard_3-2-1_54JXQ_2023-08-26_final.stac-item
2023-08-26 10:05:02	ga_s2bm_ard_3-2-1_54JXP_2023-08-26_final.stac-item
2023-08-26 10:05:13	ga_s2bm_ard_3-2-1_54JYN_2023-08-26_final.stac-item
2023-08-26 10:05:33	ga_s2bm_ard_3-2-1_55JCF_2023-08-26_final.stac-item
2023-08-26 10:05:53	ga_s2bm_ard_3-2-1_55HBE_2023-08-26_final.stac-item
2023-08-26 10:06:00	ga_s2bm_ard_3-2-1_54HXK_2023-08-26_final.stac-item
2023-08-26 10:06:08	ga_s2bm_ard_3-2-1_55HBD_2023-08-26_final.stac-item
2023-08-26 10:06:50	ga_s2bm_ard_3-2-1_55HBA_2023-08-26_final.stac-item
2023-08-26 10:06:50	ga_s2bm_ard_3-2-1_54HVG_2023-08-26_final.stac-item
2023-08-26 10:06:54	ga_s2bm_ard_3-2-1_54HYF_2023-08-26_final.stac-item
2023-08-26 10:07:05	ga_s2bm_ard_3-2-1_54HVF_2023-08-26_final.stac-item
2023-08-26 10:07:07	ga_s2bm_ard_3-2-1_54HYE_2023-08-26_final.stac-item
2023-08-26 10:07:16	ga_s2bm_ard_3-2-1_54HWE_2023-08-26_final.stac-item
2023-08-26 10:07:30	ga_s2bm_ard_3-2-1_54HWD_2023-08-26_final.stac-item
2023-08-26 10:07:41	ga_s2bm_ard_3-2-1_54HXC_2023-08-26_final.stac-item
2023-08-26 10:07:47	ga_s2bm_ard_3-2-1_54HVC_2023-08-26_final.stac-item
2023-08-26 11:43:01	ga_s2bm_ard_3-2-1_51KVU_2023-08-26_final.stac-item
2023-08-26 11:43:22	ga_s2bm_ard_3-2-1_51KTT_2023-08-26_final.stac-item
2023-08-26 11:43:33	ga_s2bm_ard_3-2-1_51KUS_2023-08-26_final.stac-item
2023-08-26 11:43:40	ga_s2bm_ard_3-2-1_50KQB_2023-08-26_final.stac-item
2023-08-26 11:43:48	ga_s2bm_ard_3-2-1_51KUR_2023-08-26_final.stac-item
2023-08-26 11:43:51	ga_s2bm_ard_3-2-1_51KTR_2023-08-26_final.stac-item
2023-08-26 11:43:51	ga_s2bm_ard_3-2-1_50KRA_2023-08-26_final.stac-item
2023-08-26 11:43:55	ga_s2bm_ard_3-2-1_50KQA_2023-08-26_final.stac-item
2023-08-26 11:44:02	ga_s2bm_ard_3-2-1_51KUQ_2023-08-26_final.stac-item
2023-08-26 11:44:06	ga_s2bm_ard_3-2-1_51KTQ_2023-08-26_final.stac-item
2023-08-26 11:44:31	ga_s2bm_ard_3-2-1_51JUN_2023-08-26_final.stac-item
2023-08-26 11:44:35	ga_s2bm_ard_3-2-1_50JRT_2023-08-26_final.stac-item
2023-08-26 11:44:49	ga_s2bm_ard_3-2-1_51JTM_2023-08-26_final.stac-item
2023-08-26 11:44:53	ga_s2bm_ard_3-2-1_50JQS_2023-08-26_final.stac-item
2023-08-26 11:45:07	ga_s2bm_ard_3-2-1_50JQR_2023-08-26_final.stac-item
2023-08-26 11:45:25	ga_s2bm_ard_3-2-1_50JPQ_2023-08-26_final.stac-item
2023-08-26 11:45:33	ga_s2bm_ard_3-2-1_51JTJ_2023-08-26_final.stac-item
2023-08-26 11:45:43	ga_s2bm_ard_3-2-1_50JNP_2023-08-26_final.stac-item
2023-08-26 11:45:58	ga_s2bm_ard_3-2-1_50JNN_2023-08-26_final.stac-item
2023-08-26 11:46:12	ga_s2bm_ard_3-2-1_50JNM_2023-08-26_final.stac-item
2023-08-26 11:46:17	ga_s2bm_ard_3-2-1_50JMM_2023-08-26_final.stac-item
2023-08-26 11:46:19	ga_s2bm_ard_3-2-1_50JQL_2023-08-26_final.stac-item
2023-08-26 11:46:38	ga_s2bm_ard_3-2-1_50HPK_2023-08-26_final.stac-item
2023-08-26 11:46:42	ga_s2bm_ard_3-2-1_50HNK_2023-08-26_final.stac-item
2023-08-26 11:46:47	ga_s2bm_ard_3-2-1_50HQJ_2023-08-26_final.stac-item
2023-08-26 11:46:57	ga_s2bm_ard_3-2-1_50HQH_2023-08-26_final.stac-item
2023-08-26 11:47:11	ga_s2bm_ard_3-2-1_50HNH_2023-08-26_final.stac-item
2023-08-26 11:47:18	ga_s2bm_ard_3-2-1_50HLH_2023-08-26_final.stac-item
2023-08-26 11:47:21	ga_s2bm_ard_3-2-1_50HPG_2023-08-26_final.stac-item
2023-08-26 11:47:25	ga_s2bm_ard_3-2-1_50HNG_2023-08-26_final.stac-item
2023-09-04 10:30:08	ga_s2bm_ard_3-2-1_54LUP_2023-09-04_nrt.stac-item
2023-09-04 10:30:20	ga_s2bm_ard_3-2-1_54LVN_2023-09-04_nrt.stac-item
2023-09-04 10:30:38	ga_s2bm_ard_3-2-1_54LUM_2023-09-04_nrt.stac-item
2023-09-04 12:10:32	ga_s2bm_ard_3-2-1_50LNP_2023-09-04_nrt.stac-item
2023-09-04 12:13:30	ga_s2bm_ard_3-2-1_49KFU_2023-09-04_nrt.stac-item
2023-09-04 12:13:33	ga_s2bm_ard_3-2-1_49KHT_2023-09-04_nrt.stac-item
2023-09-04 12:13:35	ga_s2bm_ard_3-2-1_49KGT_2023-09-04_nrt.stac-item
2023-09-04 12:13:37	ga_s2bm_ard_3-2-1_49KFT_2023-09-04_nrt.stac-item
2023-09-04 12:13:48	ga_s2bm_ard_3-2-1_49KGS_2023-09-04_nrt.stac-item
2023-09-04 12:13:52	ga_s2bm_ard_3-2-1_49KFS_2023-09-04_nrt.stac-item
2023-09-04 12:14:06	ga_s2bm_ard_3-2-1_49KFR_2023-09-04_nrt.stac-item
2023-09-04 12:14:21	ga_s2bm_ard_3-2-1_49KFQ_2023-09-04_nrt.stac-item
2023-09-04 12:14:35	ga_s2bm_ard_3-2-1_49KFP_2023-09-04_nrt.stac-item
2023-09-04 12:15:18	ga_s2bm_ard_3-2-1_49JFL_2023-09-04_nrt.stac-item
2023-09-04 12:15:25	ga_s2bm_ard_3-2-1_49JFK_2023-09-04_nrt.stac-item
2023-09-05 10:01:51	ga_s2bm_ard_3-2-1_55KEA_2023-09-05_nrt.stac-item
2023-09-05 10:07:52	ga_s2bm_ard_3-2-1_54HXB_2023-09-05_nrt.stac-item
2023-09-05 10:07:54	ga_s2bm_ard_3-2-1_54HVB_2023-09-05_nrt.stac-item
2023-09-05 11:40:47	ga_s2bm_ard_3-2-1_51LWH_2023-09-05_nrt.stac-item
2023-09-05 11:40:53	ga_s2bm_ard_3-2-1_51LUH_2023-09-05_nrt.stac-item
2023-09-05 11:41:08	ga_s2bm_ard_3-2-1_51LUG_2023-09-05_nrt.stac-item
2023-09-05 11:47:33	ga_s2bm_ard_3-2-1_50HPF_2023-09-05_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

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