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:

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First 100 results (query limit)

Time (local)	Label
2023-10-29 09:41:17	ga_s2bm_ard_3-2-1_56LMH_2023-10-29_nrt.stac-item
2023-10-29 09:41:18	ga_s2bm_ard_3-2-1_56LLH_2023-10-29_nrt.stac-item
2023-10-29 09:41:20	ga_s2bm_ard_3-2-1_56LKH_2023-10-29_nrt.stac-item
2023-10-29 09:41:29	ga_s2bm_ard_3-2-1_56KLG_2023-10-29_final.stac-item
2023-10-29 09:41:36	ga_s2bm_ard_3-2-1_56KNF_2023-10-29_nrt.stac-item
2023-10-29 09:41:40	ga_s2bm_ard_3-2-1_56KMF_2023-10-29_final.stac-item
2023-10-29 09:41:43	ga_s2bm_ard_3-2-1_56KLF_2023-10-29_final.stac-item
2023-10-29 09:42:15	ga_s2bm_ard_3-2-1_56KKD_2023-10-29_nrt.stac-item
2023-10-29 09:42:16	ga_s2bm_ard_3-2-1_55KHU_2023-10-29_nrt.stac-item
2023-10-29 09:42:30	ga_s2bm_ard_3-2-1_56KKC_2023-10-29_nrt.stac-item
2023-10-29 09:42:31	ga_s2bm_ard_3-2-1_55KHT_2023-10-29_nrt.stac-item
2023-10-29 09:42:35	ga_s2bm_ard_3-2-1_55KGT_2023-10-29_final.stac-item
2023-10-29 09:42:38	ga_s2bm_ard_3-2-1_56KMB_2023-10-29_final.stac-item
2023-10-29 09:42:45	ga_s2bm_ard_3-2-1_56KKB_2023-10-29_final.stac-item
2023-10-29 09:42:45	ga_s2bm_ard_3-2-1_55KHS_2023-10-29_final.stac-item
2023-10-29 09:43:00	ga_s2bm_ard_3-2-1_55KHR_2023-10-29_final.stac-item
2023-10-29 09:43:03	ga_s2bm_ard_3-2-1_55KGR_2023-10-29_final.stac-item
2023-10-29 09:43:10	ga_s2bm_ard_3-2-1_56KLV_2023-10-29_final.stac-item
2023-10-29 09:43:14	ga_s2bm_ard_3-2-1_55KHQ_2023-10-29_final.stac-item
2023-10-29 09:43:28	ga_s2bm_ard_3-2-1_55KHP_2023-10-29_final.stac-item
2023-10-29 09:43:43	ga_s2bm_ard_3-2-1_55JHN_2023-10-29_final.stac-item
2023-10-29 09:43:57	ga_s2bm_ard_3-2-1_55JHM_2023-10-29_final.stac-item
2023-10-29 09:44:07	ga_s2bm_ard_3-2-1_56JLR_2023-10-29_final.stac-item
2023-10-29 09:44:27	ga_s2bm_ard_3-2-1_55JEL_2023-10-29_final.stac-item
2023-10-29 09:44:38	ga_s2bm_ard_3-2-1_55JEK_2023-10-29_final.stac-item
2023-10-29 09:44:51	ga_s2bm_ard_3-2-1_55JEJ_2023-10-29_final.stac-item
2023-10-29 09:44:59	ga_s2bm_ard_3-2-1_55JGH_2023-10-29_final.stac-item
2023-10-29 09:45:02	ga_s2bm_ard_3-2-1_55JFH_2023-10-29_final.stac-item
2023-10-29 09:45:24	ga_s2bm_ard_3-2-1_56JKL_2023-10-29_final.stac-item
2023-10-29 09:45:27	ga_s2bm_ard_3-2-1_55JGF_2023-10-29_final.stac-item
2023-10-29 09:45:35	ga_s2bm_ard_3-2-1_55JEF_2023-10-29_final.stac-item
2023-10-29 09:46:00	ga_s2bm_ard_3-2-1_55HFD_2023-10-29_final.stac-item
2023-10-29 09:46:04	ga_s2bm_ard_3-2-1_55HED_2023-10-29_final.stac-item
2023-10-29 09:46:07	ga_s2bm_ard_3-2-1_55HDD_2023-10-29_final.stac-item
2023-10-29 09:46:18	ga_s2bm_ard_3-2-1_55HEC_2023-10-29_final.stac-item
2023-10-29 09:46:58	ga_s2bm_ard_3-2-1_55HFV_2023-10-29_final.stac-item
2023-10-29 09:47:02	ga_s2bm_ard_3-2-1_55HEV_2023-10-29_final.stac-item
2023-10-29 09:47:05	ga_s2bm_ard_3-2-1_55HDV_2023-10-29_final.stac-item
2023-10-29 09:47:09	ga_s2bm_ard_3-2-1_55HCV_2023-10-29_final.stac-item
2023-10-29 09:47:35	ga_s2bm_ard_3-2-1_55HDT_2023-10-29_final.stac-item
2023-10-29 09:47:38	ga_s2bm_ard_3-2-1_55HCT_2023-10-29_final.stac-item
2023-10-29 09:47:46	ga_s2bm_ard_3-2-1_54HYC_2023-10-29_final.stac-item
2023-10-29 09:47:49	ga_s2bm_ard_3-2-1_55HDS_2023-10-29_final.stac-item
2023-10-29 09:47:52	ga_s2bm_ard_3-2-1_55HCS_2023-10-29_final.stac-item
2023-10-29 09:48:00	ga_s2bm_ard_3-2-1_55GER_2023-10-29_final.stac-item
2023-10-29 09:48:04	ga_s2bm_ard_3-2-1_55GDR_2023-10-29_final.stac-item
2023-10-29 09:48:07	ga_s2bm_ard_3-2-1_55GCR_2023-10-29_final.stac-item
2023-10-29 09:48:10	ga_s2bm_ard_3-2-1_55GBR_2023-10-29_final.stac-item
2023-10-29 09:48:10	ga_s2bm_ard_3-2-1_54GYA_2023-10-29_final.stac-item
2023-10-29 09:48:13	ga_s2bm_ard_3-2-1_55GEQ_2023-10-29_final.stac-item
2023-10-29 09:48:18	ga_s2bm_ard_3-2-1_55GDQ_2023-10-29_final.stac-item
2023-10-29 09:48:22	ga_s2bm_ard_3-2-1_55GCQ_2023-10-29_final.stac-item
2023-10-29 09:48:25	ga_s2bm_ard_3-2-1_55GBQ_2023-10-29_final.stac-item
2023-10-29 09:48:25	ga_s2bm_ard_3-2-1_54GYV_2023-10-29_final.stac-item
2023-10-29 09:48:47	ga_s2bm_ard_3-2-1_55GDN_2023-10-29_final.stac-item
2023-10-29 09:48:51	ga_s2bm_ard_3-2-1_55GCN_2023-10-29_final.stac-item
2023-10-29 09:48:54	ga_s2bm_ard_3-2-1_54GYT_2023-10-29_nrt.stac-item
2023-10-29 09:48:57	ga_s2bm_ard_3-2-1_54GXT_2023-10-29_nrt.stac-item
2023-10-29 09:48:58	ga_s2bm_ard_3-2-1_55GDM_2023-10-29_final.stac-item
2023-10-29 09:49:00	ga_s2bm_ard_3-2-1_55GCM_2023-10-29_final.stac-item
2023-10-29 09:49:01	ga_s2bm_ard_3-2-1_54GYS_2023-10-29_nrt.stac-item
2023-10-29 09:49:03	ga_s2bm_ard_3-2-1_54GXS_2023-10-29_nrt.stac-item
2023-10-29 11:20:47	ga_s2bm_ard_3-2-1_52LEM_2023-10-29_nrt.stac-item
2023-10-29 11:20:50	ga_s2bm_ard_3-2-1_52LDM_2023-10-29_nrt.stac-item
2023-10-29 11:21:09	ga_s2bm_ard_3-2-1_52LEK_2023-10-29_final.stac-item
2023-10-29 11:21:37	ga_s2bm_ard_3-2-1_52LCJ_2023-10-29_final.stac-item
2023-10-29 11:21:40	ga_s2bm_ard_3-2-1_52LBJ_2023-10-29_final.stac-item
2023-10-29 11:21:42	ga_s2bm_ard_3-2-1_51LZD_2023-10-29_final.stac-item
2023-10-29 11:21:49	ga_s2bm_ard_3-2-1_52LDH_2023-10-29_final.stac-item
2023-10-29 11:22:06	ga_s2bm_ard_3-2-1_52KCG_2023-10-29_final.stac-item
2023-10-29 11:22:21	ga_s2bm_ard_3-2-1_52KCF_2023-10-29_final.stac-item
2023-10-29 11:22:39	ga_s2bm_ard_3-2-1_52KBE_2023-10-29_final.stac-item
2023-10-29 11:22:40	ga_s2bm_ard_3-2-1_51KZV_2023-10-29_final.stac-item
2023-10-29 11:22:43	ga_s2bm_ard_3-2-1_51KYV_2023-10-29_final.stac-item
2023-10-29 11:22:53	ga_s2bm_ard_3-2-1_52KBD_2023-10-29_final.stac-item
2023-10-29 11:22:54	ga_s2bm_ard_3-2-1_51KZU_2023-10-29_final.stac-item
2023-10-29 11:22:58	ga_s2bm_ard_3-2-1_51KYU_2023-10-29_final.stac-item
2023-10-29 11:23:08	ga_s2bm_ard_3-2-1_52KBC_2023-10-29_final.stac-item
2023-10-29 11:23:08	ga_s2bm_ard_3-2-1_51KZT_2023-10-29_final.stac-item
2023-10-29 11:23:12	ga_s2bm_ard_3-2-1_51KYT_2023-10-29_final.stac-item
2023-10-29 11:23:18	ga_s2bm_ard_3-2-1_52KCB_2023-10-29_final.stac-item
2023-10-29 11:23:23	ga_s2bm_ard_3-2-1_51KZS_2023-10-29_final.stac-item
2023-10-29 11:23:29	ga_s2bm_ard_3-2-1_52KCA_2023-10-29_final.stac-item
2023-10-29 11:23:37	ga_s2bm_ard_3-2-1_52KBA_2023-10-29_final.stac-item
2023-10-29 11:23:37	ga_s2bm_ard_3-2-1_51KZR_2023-10-29_final.stac-item
2023-10-29 11:23:41	ga_s2bm_ard_3-2-1_51KYR_2023-10-29_final.stac-item
2023-10-29 11:23:51	ga_s2bm_ard_3-2-1_51KZQ_2023-10-29_final.stac-item
2023-10-29 11:23:59	ga_s2bm_ard_3-2-1_51KXQ_2023-10-29_final.stac-item
2023-10-29 11:24:06	ga_s2bm_ard_3-2-1_51KZP_2023-10-29_final.stac-item
2023-10-29 11:24:21	ga_s2bm_ard_3-2-1_51JZN_2023-10-29_final.stac-item
2023-10-29 11:25:15	ga_s2bm_ard_3-2-1_51JWK_2023-10-29_final.stac-item
2023-10-29 11:25:18	ga_s2bm_ard_3-2-1_51JVK_2023-10-29_final.stac-item
2023-10-29 11:25:29	ga_s2bm_ard_3-2-1_51JWJ_2023-10-29_final.stac-item
2023-10-29 11:25:33	ga_s2bm_ard_3-2-1_51JVJ_2023-10-29_final.stac-item
2023-10-29 11:25:36	ga_s2bm_ard_3-2-1_51JYH_2023-10-29_final.stac-item
2023-10-29 11:25:40	ga_s2bm_ard_3-2-1_51JXH_2023-10-29_final.stac-item
2023-10-29 11:26:13	ga_s2bm_ard_3-2-1_51JWF_2023-10-29_final.stac-item
2023-10-29 11:26:16	ga_s2bm_ard_3-2-1_51JVF_2023-10-29_final.stac-item
2023-10-29 11:26:38	ga_s2bm_ard_3-2-1_51HXD_2023-10-29_final.stac-item
2023-10-29 11:26:42	ga_s2bm_ard_3-2-1_51HWD_2023-10-29_final.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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