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
2023-01-21 11:57:20	ga_s2bm_ard_3-2-1_49HFC_2023-01-21_nrt.stac-item
2023-01-21 13:31:36	ga_s2bm_ard_3-2-1_47LKG_2023-01-21_interim.stac-item
2023-01-21 13:31:37	ga_s2bm_ard_3-2-1_46LHM_2023-01-21_interim.stac-item
2023-01-22 09:39:33	ga_s2bm_ard_3-2-1_56LPP_2023-01-22_nrt.stac-item
2023-01-22 09:39:36	ga_s2bm_ard_3-2-1_56LNP_2023-01-22_nrt.stac-item
2023-01-22 09:39:40	ga_s2bm_ard_3-2-1_56LMP_2023-01-22_nrt.stac-item
2023-01-22 09:39:47	ga_s2bm_ard_3-2-1_56LLP_2023-01-22_nrt.stac-item
2023-01-22 09:39:47	ga_s2bm_ard_3-2-1_56LPN_2023-01-22_nrt.stac-item
2023-01-22 09:39:51	ga_s2bm_ard_3-2-1_56LNN_2023-01-22_nrt.stac-item
2023-01-22 09:39:58	ga_s2bm_ard_3-2-1_56LLN_2023-01-22_nrt.stac-item
2023-01-22 09:40:02	ga_s2bm_ard_3-2-1_56LPM_2023-01-22_nrt.stac-item
2023-01-22 09:40:05	ga_s2bm_ard_3-2-1_56LMM_2023-01-22_nrt.stac-item
2023-01-22 09:40:07	ga_s2bm_ard_3-2-1_56LLM_2023-01-22_nrt.stac-item
2023-01-22 09:41:43	ga_s2bm_ard_3-2-1_55KHA_2023-01-22_nrt.stac-item
2023-01-22 09:41:57	ga_s2bm_ard_3-2-1_56KKE_2023-01-22_nrt.stac-item
2023-01-22 09:42:41	ga_s2bm_ard_3-2-1_56KKB_2023-01-22_final.stac-item
2023-01-22 09:42:44	ga_s2bm_ard_3-2-1_55KGS_2023-01-22_final.stac-item
2023-01-22 09:42:48	ga_s2bm_ard_3-2-1_56KMA_2023-01-22_final.stac-item
2023-01-22 09:42:55	ga_s2bm_ard_3-2-1_56KKA_2023-01-22_final.stac-item
2023-01-22 09:42:59	ga_s2bm_ard_3-2-1_55KGR_2023-01-22_final.stac-item
2023-01-22 09:43:10	ga_s2bm_ard_3-2-1_56KKV_2023-01-22_final.stac-item
2023-01-22 09:43:14	ga_s2bm_ard_3-2-1_55KGQ_2023-01-22_final.stac-item
2023-01-22 09:43:21	ga_s2bm_ard_3-2-1_56KLU_2023-01-22_final.stac-item
2023-01-22 09:43:24	ga_s2bm_ard_3-2-1_56KKU_2023-01-22_final.stac-item
2023-01-22 09:43:28	ga_s2bm_ard_3-2-1_55KGP_2023-01-22_final.stac-item
2023-01-22 09:43:32	ga_s2bm_ard_3-2-1_55KFP_2023-01-22_final.stac-item
2023-01-22 09:43:57	ga_s2bm_ard_3-2-1_55JGM_2023-01-22_final.stac-item
2023-01-22 09:44:04	ga_s2bm_ard_3-2-1_56JLR_2023-01-22_final.stac-item
2023-01-22 09:44:15	ga_s2bm_ard_3-2-1_55JFL_2023-01-22_final.stac-item
2023-01-22 09:44:23	ga_s2bm_ard_3-2-1_55JEL_2023-01-22_final.stac-item
2023-01-22 09:44:34	ga_s2bm_ard_3-2-1_55JEK_2023-01-22_final.stac-item
2023-01-22 09:44:44	ga_s2bm_ard_3-2-1_55JFJ_2023-01-22_final.stac-item
2023-01-22 09:44:47	ga_s2bm_ard_3-2-1_55JEJ_2023-01-22_final.stac-item
2023-01-22 09:44:52	ga_s2bm_ard_3-2-1_56JKN_2023-01-22_final.stac-item
2023-01-22 09:44:55	ga_s2bm_ard_3-2-1_55JGH_2023-01-22_final.stac-item
2023-01-22 09:45:17	ga_s2bm_ard_3-2-1_55JEG_2023-01-22_final.stac-item
2023-01-22 09:45:24	ga_s2bm_ard_3-2-1_55JDG_2023-01-22_final.stac-item
2023-01-22 09:46:05	ga_s2bm_ard_3-2-1_55HGC_2023-01-22_final.stac-item
2023-01-22 09:46:44	ga_s2bm_ard_3-2-1_55HDA_2023-01-22_final.stac-item
2023-01-22 09:46:48	ga_s2bm_ard_3-2-1_55HFA_2023-01-22_final.stac-item
2023-01-22 09:46:48	ga_s2bm_ard_3-2-1_55HFV_2023-01-22_final.stac-item
2023-01-22 09:46:49	ga_s2bm_ard_3-2-1_55HEV_2023-01-22_final.stac-item
2023-01-22 09:46:49	ga_s2bm_ard_3-2-1_55HEA_2023-01-22_final.stac-item
2023-01-22 09:46:51	ga_s2bm_ard_3-2-1_55HDA_2023-01-22_final.stac-item
2023-01-22 09:46:54	ga_s2bm_ard_3-2-1_55HFV_2023-01-22_final.stac-item
2023-01-22 09:46:58	ga_s2bm_ard_3-2-1_55HEV_2023-01-22_final.stac-item
2023-01-22 09:47:02	ga_s2bm_ard_3-2-1_55HDV_2023-01-22_final.stac-item
2023-01-22 09:47:05	ga_s2bm_ard_3-2-1_55HCV_2023-01-22_final.stac-item
2023-01-22 09:47:45	ga_s2bm_ard_3-2-1_55HDS_2023-01-22_final.stac-item
2023-01-22 09:47:49	ga_s2bm_ard_3-2-1_55HCS_2023-01-22_final.stac-item
2023-01-22 09:47:52	ga_s2bm_ard_3-2-1_55HBS_2023-01-22_final.stac-item
2023-01-22 09:47:53	ga_s2bm_ard_3-2-1_54HYB_2023-01-22_final.stac-item
2023-01-22 09:47:56	ga_s2bm_ard_3-2-1_55GER_2023-01-22_final.stac-item
2023-01-22 09:48:00	ga_s2bm_ard_3-2-1_55GDR_2023-01-22_final.stac-item
2023-01-22 09:48:03	ga_s2bm_ard_3-2-1_55GCR_2023-01-22_final.stac-item
2023-01-22 09:48:06	ga_s2bm_ard_3-2-1_55GBR_2023-01-22_final.stac-item
2023-01-22 09:48:07	ga_s2bm_ard_3-2-1_54GYA_2023-01-22_final.stac-item
2023-01-22 09:48:09	ga_s2bm_ard_3-2-1_55GEQ_2023-01-22_final.stac-item
2023-01-22 09:48:14	ga_s2bm_ard_3-2-1_55GDQ_2023-01-22_final.stac-item
2023-01-22 09:48:18	ga_s2bm_ard_3-2-1_55GCQ_2023-01-22_final.stac-item
2023-01-22 09:48:21	ga_s2bm_ard_3-2-1_55GBQ_2023-01-22_final.stac-item
2023-01-22 09:48:21	ga_s2bm_ard_3-2-1_54GYV_2023-01-22_final.stac-item
2023-01-22 11:20:14	ga_s2bm_ard_3-2-1_52LEP_2023-01-22_nrt.stac-item
2023-01-22 11:20:17	ga_s2bm_ard_3-2-1_52LDP_2023-01-22_nrt.stac-item
2023-01-22 11:20:21	ga_s2bm_ard_3-2-1_52LCP_2023-01-22_nrt.stac-item
2023-01-22 11:20:24	ga_s2bm_ard_3-2-1_52LBP_2023-01-22_nrt.stac-item
2023-01-22 11:20:29	ga_s2bm_ard_3-2-1_52LEN_2023-01-22_nrt.stac-item
2023-01-22 11:20:32	ga_s2bm_ard_3-2-1_52LDN_2023-01-22_nrt.stac-item
2023-01-22 11:20:35	ga_s2bm_ard_3-2-1_52LCN_2023-01-22_nrt.stac-item
2023-01-22 11:20:50	ga_s2bm_ard_3-2-1_52LCM_2023-01-22_nrt.stac-item
2023-01-22 11:20:55	ga_s2bm_ard_3-2-1_51LZG_2023-01-22_nrt.stac-item
2023-01-22 11:21:15	ga_s2bm_ard_3-2-1_52LDK_2023-01-22_nrt.stac-item
2023-01-22 11:22:08	ga_s2bm_ard_3-2-1_52KDF_2023-01-22_final.stac-item
2023-01-22 11:22:20	ga_s2bm_ard_3-2-1_52KBF_2023-01-22_final.stac-item
2023-01-22 11:22:21	ga_s2bm_ard_3-2-1_51KZA_2023-01-22_final.stac-item
2023-01-22 11:22:25	ga_s2bm_ard_3-2-1_51KYA_2023-01-22_final.stac-item
2023-01-22 11:22:35	ga_s2bm_ard_3-2-1_52KBE_2023-01-22_final.stac-item
2023-01-22 11:22:36	ga_s2bm_ard_3-2-1_51KZV_2023-01-22_final.stac-item
2023-01-22 11:22:39	ga_s2bm_ard_3-2-1_51KYV_2023-01-22_final.stac-item
2023-01-22 11:23:18	ga_s2bm_ard_3-2-1_52KBB_2023-01-22_final.stac-item
2023-01-22 11:23:23	ga_s2bm_ard_3-2-1_51KYS_2023-01-22_final.stac-item
2023-01-22 11:23:33	ga_s2bm_ard_3-2-1_52KBA_2023-01-22_final.stac-item
2023-01-22 11:23:37	ga_s2bm_ard_3-2-1_51KYR_2023-01-22_final.stac-item
2023-01-22 11:23:47	ga_s2bm_ard_3-2-1_52KBV_2023-01-22_final.stac-item
2023-01-22 11:23:52	ga_s2bm_ard_3-2-1_51KYQ_2023-01-22_final.stac-item
2023-01-22 11:24:02	ga_s2bm_ard_3-2-1_52KBU_2023-01-22_final.stac-item
2023-01-22 11:24:06	ga_s2bm_ard_3-2-1_51KYP_2023-01-22_final.stac-item
2023-01-22 11:24:09	ga_s2bm_ard_3-2-1_51KXP_2023-01-22_final.stac-item
2023-01-22 11:24:30	ga_s2bm_ard_3-2-1_52JBS_2023-01-22_final.stac-item
2023-01-22 11:24:42	ga_s2bm_ard_3-2-1_51JWM_2023-01-22_final.stac-item
2023-01-22 11:24:53	ga_s2bm_ard_3-2-1_51JXL_2023-01-22_final.stac-item
2023-01-22 11:24:57	ga_s2bm_ard_3-2-1_51JWL_2023-01-22_final.stac-item
2023-01-22 11:25:01	ga_s2bm_ard_3-2-1_51JVL_2023-01-22_final.stac-item
2023-01-22 11:25:11	ga_s2bm_ard_3-2-1_51JWK_2023-01-22_final.stac-item
2023-01-22 11:25:14	ga_s2bm_ard_3-2-1_51JVK_2023-01-22_final.stac-item
2023-01-22 11:25:22	ga_s2bm_ard_3-2-1_51JXJ_2023-01-22_final.stac-item
2023-01-22 11:25:26	ga_s2bm_ard_3-2-1_51JWJ_2023-01-22_final.stac-item
2023-01-22 11:25:29	ga_s2bm_ard_3-2-1_51JVJ_2023-01-22_final.stac-item
2023-01-22 11:25:32	ga_s2bm_ard_3-2-1_51JYH_2023-01-22_final.stac-item
2023-01-22 11:25:55	ga_s2bm_ard_3-2-1_51JWG_2023-01-22_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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