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
2023-06-21 09:42:44	ga_s2bm_ard_3-2-1_56KLB_2023-06-21_final.stac-item
2023-06-21 09:42:47	ga_s2bm_ard_3-2-1_55KHS_2023-06-21_final.stac-item
2023-06-21 09:42:58	ga_s2bm_ard_3-2-1_56KLA_2023-06-21_final.stac-item
2023-06-21 09:43:02	ga_s2bm_ard_3-2-1_55KHR_2023-06-21_final.stac-item
2023-06-21 09:43:20	ga_s2bm_ard_3-2-1_55KGQ_2023-06-21_final.stac-item
2023-06-21 09:43:34	ga_s2bm_ard_3-2-1_55KGP_2023-06-21_final.stac-item
2023-06-21 09:43:45	ga_s2bm_ard_3-2-1_56JKT_2023-06-21_final.stac-item
2023-06-21 09:44:07	ga_s2bm_ard_3-2-1_55JFM_2023-06-21_final.stac-item
2023-06-21 09:44:18	ga_s2bm_ard_3-2-1_55JGL_2023-06-21_final.stac-item
2023-06-21 09:44:21	ga_s2bm_ard_3-2-1_55JFL_2023-06-21_final.stac-item
2023-06-21 09:44:29	ga_s2bm_ard_3-2-1_55JEL_2023-06-21_final.stac-item
2023-06-21 09:44:32	ga_s2bm_ard_3-2-1_55JGK_2023-06-21_final.stac-item
2023-06-21 09:44:47	ga_s2bm_ard_3-2-1_55JGJ_2023-06-21_final.stac-item
2023-06-21 09:44:58	ga_s2bm_ard_3-2-1_56JKN_2023-06-21_final.stac-item
2023-06-21 09:45:13	ga_s2bm_ard_3-2-1_56JKM_2023-06-21_final.stac-item
2023-06-21 09:45:41	ga_s2bm_ard_3-2-1_55JDF_2023-06-21_final.stac-item
2023-06-21 09:45:52	ga_s2bm_ard_3-2-1_55HEE_2023-06-21_final.stac-item
2023-06-21 09:46:06	ga_s2bm_ard_3-2-1_55HED_2023-06-21_final.stac-item
2023-06-21 09:46:31	ga_s2bm_ard_3-2-1_55HFB_2023-06-21_final.stac-item
2023-06-21 09:46:43	ga_s2bm_ard_3-2-1_55HCB_2023-06-21_final.stac-item
2023-06-21 09:46:46	ga_s2bm_ard_3-2-1_55HFA_2023-06-21_final.stac-item
2023-06-21 09:46:56	ga_s2bm_ard_3-2-1_55HCA_2023-06-21_final.stac-item
2023-06-21 09:47:13	ga_s2bm_ard_3-2-1_55HFU_2023-06-21_final.stac-item
2023-06-21 09:47:23	ga_s2bm_ard_3-2-1_55HFT_2023-06-21_final.stac-item
2023-06-21 09:47:26	ga_s2bm_ard_3-2-1_55HCU_2023-06-21_final.stac-item
2023-06-21 09:47:37	ga_s2bm_ard_3-2-1_55HDT_2023-06-21_final.stac-item
2023-06-21 09:47:40	ga_s2bm_ard_3-2-1_55HCT_2023-06-21_final.stac-item
2023-06-21 09:47:51	ga_s2bm_ard_3-2-1_55HDS_2023-06-21_final.stac-item
2023-06-21 09:48:06	ga_s2bm_ard_3-2-1_55GDR_2023-06-21_final.stac-item
2023-06-21 09:48:13	ga_s2bm_ard_3-2-1_54GYA_2023-06-21_final.stac-item
2023-06-21 09:48:15	ga_s2bm_ard_3-2-1_55GEQ_2023-06-21_final.stac-item
2023-06-21 09:48:20	ga_s2bm_ard_3-2-1_55GDQ_2023-06-21_final.stac-item
2023-06-21 09:48:52	ga_s2bm_ard_3-2-1_55GCN_2023-06-21_final.stac-item
2023-06-21 09:48:58	ga_s2bm_ard_3-2-1_55GCM_2023-06-21_final.stac-item
2023-06-21 09:48:59	ga_s2bm_ard_3-2-1_55GCN_2023-06-21_final.stac-item
2023-06-21 09:49:03	ga_s2bm_ard_3-2-1_55GCM_2023-06-21_final.stac-item
2023-06-21 11:21:12	ga_s2bm_ard_3-2-1_52LEK_2023-06-21_final.stac-item
2023-06-21 11:21:29	ga_s2bm_ard_3-2-1_51LZE_2023-06-21_final.stac-item
2023-06-21 11:21:40	ga_s2bm_ard_3-2-1_52LCJ_2023-06-21_final.stac-item
2023-06-21 11:21:43	ga_s2bm_ard_3-2-1_52LBJ_2023-06-21_final.stac-item
2023-06-21 11:21:54	ga_s2bm_ard_3-2-1_52LCH_2023-06-21_final.stac-item
2023-06-21 11:21:57	ga_s2bm_ard_3-2-1_52LBH_2023-06-21_final.stac-item
2023-06-21 11:22:09	ga_s2bm_ard_3-2-1_52KCG_2023-06-21_final.stac-item
2023-06-21 11:22:56	ga_s2bm_ard_3-2-1_51KZU_2023-06-21_final.stac-item
2023-06-21 11:23:00	ga_s2bm_ard_3-2-1_51KYU_2023-06-21_final.stac-item
2023-06-21 11:23:04	ga_s2bm_ard_3-2-1_51KXU_2023-06-21_final.stac-item
2023-06-21 11:23:11	ga_s2bm_ard_3-2-1_51KZT_2023-06-21_final.stac-item
2023-06-21 11:23:14	ga_s2bm_ard_3-2-1_51KYT_2023-06-21_final.stac-item
2023-06-21 11:23:17	ga_s2bm_ard_3-2-1_51KXT_2023-06-21_final.stac-item
2023-06-21 11:23:25	ga_s2bm_ard_3-2-1_52KBB_2023-06-21_final.stac-item
2023-06-21 11:23:25	ga_s2bm_ard_3-2-1_51KZS_2023-06-21_final.stac-item
2023-06-21 11:23:39	ga_s2bm_ard_3-2-1_52KBA_2023-06-21_final.stac-item
2023-06-21 11:23:54	ga_s2bm_ard_3-2-1_52KBV_2023-06-21_final.stac-item
2023-06-21 11:24:08	ga_s2bm_ard_3-2-1_52KBU_2023-06-21_final.stac-item
2023-06-21 11:24:23	ga_s2bm_ard_3-2-1_51JZN_2023-06-21_final.stac-item
2023-06-21 11:24:30	ga_s2bm_ard_3-2-1_51JXN_2023-06-21_final.stac-item
2023-06-21 11:24:34	ga_s2bm_ard_3-2-1_51JWN_2023-06-21_final.stac-item
2023-06-21 11:24:45	ga_s2bm_ard_3-2-1_51JXM_2023-06-21_final.stac-item
2023-06-21 11:24:48	ga_s2bm_ard_3-2-1_51JWM_2023-06-21_final.stac-item
2023-06-21 11:24:59	ga_s2bm_ard_3-2-1_51JXL_2023-06-21_final.stac-item
2023-06-21 11:25:03	ga_s2bm_ard_3-2-1_51JWL_2023-06-21_final.stac-item
2023-06-21 11:25:07	ga_s2bm_ard_3-2-1_51JVL_2023-06-21_final.stac-item
2023-06-21 11:25:14	ga_s2bm_ard_3-2-1_51JXK_2023-06-21_final.stac-item
2023-06-21 11:25:24	ga_s2bm_ard_3-2-1_51JYJ_2023-06-21_final.stac-item
2023-06-21 11:25:28	ga_s2bm_ard_3-2-1_51JXJ_2023-06-21_final.stac-item
2023-06-21 11:25:46	ga_s2bm_ard_3-2-1_51JWH_2023-06-21_final.stac-item
2023-06-21 11:25:50	ga_s2bm_ard_3-2-1_51JVH_2023-06-21_final.stac-item
2023-06-21 11:26:01	ga_s2bm_ard_3-2-1_51JWG_2023-06-21_final.stac-item
2023-06-21 11:26:04	ga_s2bm_ard_3-2-1_51JVG_2023-06-21_final.stac-item
2023-06-21 11:26:11	ga_s2bm_ard_3-2-1_51JXF_2023-06-21_final.stac-item
2023-06-21 11:26:15	ga_s2bm_ard_3-2-1_51JWF_2023-06-21_final.stac-item
2023-06-21 11:26:19	ga_s2bm_ard_3-2-1_51JVF_2023-06-21_final.stac-item
2023-06-21 11:26:30	ga_s2bm_ard_3-2-1_51HWE_2023-06-21_final.stac-item
2023-06-21 11:26:36	ga_s2bm_ard_3-2-1_51HUE_2023-06-21_final.stac-item
2023-06-21 11:26:44	ga_s2bm_ard_3-2-1_51HWD_2023-06-21_final.stac-item
2023-06-21 11:26:52	ga_s2bm_ard_3-2-1_51HXC_2023-06-21_final.stac-item
2023-06-21 11:27:02	ga_s2bm_ard_3-2-1_51HVC_2023-06-21_final.stac-item
2023-06-21 11:27:11	ga_s2bm_ard_3-2-1_51HWB_2023-06-21_final.stac-item
2023-06-21 11:27:11	ga_s2bm_ard_3-2-1_51HTC_2023-06-21_final.stac-item
2023-06-21 11:27:13	ga_s2bm_ard_3-2-1_51HVB_2023-06-21_final.stac-item
2023-06-21 11:27:15	ga_s2bm_ard_3-2-1_51HUB_2023-06-21_final.stac-item
2023-06-21 11:27:17	ga_s2bm_ard_3-2-1_51HTB_2023-06-21_final.stac-item
2023-06-30 11:51:12	ga_s2bm_ard_3-2-1_50LQM_2023-06-30_nrt.stac-item
2023-06-30 11:56:50	ga_s2bm_ard_3-2-1_49HGE_2023-06-30_nrt.stac-item
2023-06-30 11:57:27	ga_s2bm_ard_3-2-1_49HFC_2023-06-30_nrt.stac-item
2023-07-01 09:42:05	ga_s2bm_ard_3-2-1_55KHV_2023-07-01_nrt.stac-item
2023-07-01 09:42:20	ga_s2bm_ard_3-2-1_55KHU_2023-07-01_nrt.stac-item
2023-07-01 09:42:30	ga_s2bm_ard_3-2-1_56KLC_2023-07-01_nrt.stac-item
2023-07-01 09:42:34	ga_s2bm_ard_3-2-1_55KHT_2023-07-01_nrt.stac-item
2023-07-01 09:48:43	ga_s2bm_ard_3-2-1_54GYU_2023-07-01_nrt.stac-item
2023-07-01 09:48:48	ga_s2bm_ard_3-2-1_54GXU_2023-07-01_nrt.stac-item
2023-07-01 09:48:54	ga_s2bm_ard_3-2-1_54GYT_2023-07-01_nrt.stac-item
2023-07-01 09:48:56	ga_s2bm_ard_3-2-1_54GXT_2023-07-01_nrt.stac-item
2023-07-01 09:49:01	ga_s2bm_ard_3-2-1_54GYT_2023-07-01_nrt.stac-item
2023-07-01 09:49:03	ga_s2bm_ard_3-2-1_54GXT_2023-07-01_nrt.stac-item
2023-07-01 09:49:05	ga_s2bm_ard_3-2-1_54GYS_2023-07-01_nrt.stac-item
2023-07-01 09:49:07	ga_s2bm_ard_3-2-1_54GXS_2023-07-01_nrt.stac-item
2023-07-01 11:20:31	ga_s2bm_ard_3-2-1_52LBP_2023-07-01_nrt.stac-item
2023-07-01 11:20:45	ga_s2bm_ard_3-2-1_52LBN_2023-07-01_nrt.stac-item
2023-07-01 11:21:02	ga_s2bm_ard_3-2-1_51LZG_2023-07-01_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

Other products

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