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
2023-03-23 09:40:06	ga_s2bm_ard_3-2-1_56LPM_2023-03-23_nrt.stac-item
2023-03-23 09:40:08	ga_s2bm_ard_3-2-1_56LNM_2023-03-23_nrt.stac-item
2023-03-23 09:40:10	ga_s2bm_ard_3-2-1_56LMM_2023-03-23_nrt.stac-item
2023-03-23 09:40:11	ga_s2bm_ard_3-2-1_56LLM_2023-03-23_nrt.stac-item
2023-03-23 09:40:14	ga_s2bm_ard_3-2-1_56LPL_2023-03-23_nrt.stac-item
2023-03-23 09:40:15	ga_s2bm_ard_3-2-1_56LNL_2023-03-23_nrt.stac-item
2023-03-23 09:41:21	ga_s2bm_ard_3-2-1_56KNG_2023-03-23_nrt.stac-item
2023-03-23 09:41:23	ga_s2bm_ard_3-2-1_56KMG_2023-03-23_final.stac-item
2023-03-23 09:41:26	ga_s2bm_ard_3-2-1_56KKG_2023-03-23_final.stac-item
2023-03-23 09:41:27	ga_s2bm_ard_3-2-1_55KHB_2023-03-23_final.stac-item
2023-03-23 09:41:28	ga_s2bm_ard_3-2-1_56KNG_2023-03-23_nrt.stac-item
2023-03-23 09:41:30	ga_s2bm_ard_3-2-1_56KMG_2023-03-23_final.stac-item
2023-03-23 09:41:32	ga_s2bm_ard_3-2-1_56KLG_2023-03-23_final.stac-item
2023-03-23 09:41:33	ga_s2bm_ard_3-2-1_56KKG_2023-03-23_final.stac-item
2023-03-23 09:41:35	ga_s2bm_ard_3-2-1_55KHB_2023-03-23_final.stac-item
2023-03-23 09:41:47	ga_s2bm_ard_3-2-1_56KKF_2023-03-23_final.stac-item
2023-03-23 09:41:47	ga_s2bm_ard_3-2-1_55KHA_2023-03-23_nrt.stac-item
2023-03-23 09:41:49	ga_s2bm_ard_3-2-1_56KNE_2023-03-23_nrt.stac-item
2023-03-23 09:41:55	ga_s2bm_ard_3-2-1_56KME_2023-03-23_final.stac-item
2023-03-23 09:41:58	ga_s2bm_ard_3-2-1_56KLE_2023-03-23_final.stac-item
2023-03-23 09:42:16	ga_s2bm_ard_3-2-1_56KKD_2023-03-23_nrt.stac-item
2023-03-23 09:42:17	ga_s2bm_ard_3-2-1_55KHU_2023-03-23_nrt.stac-item
2023-03-23 09:42:30	ga_s2bm_ard_3-2-1_56KKC_2023-03-23_nrt.stac-item
2023-03-23 09:42:31	ga_s2bm_ard_3-2-1_55KHT_2023-03-23_nrt.stac-item
2023-03-23 09:42:36	ga_s2bm_ard_3-2-1_55KGT_2023-03-23_final.stac-item
2023-03-23 09:42:45	ga_s2bm_ard_3-2-1_56KKB_2023-03-23_final.stac-item
2023-03-23 09:42:49	ga_s2bm_ard_3-2-1_55KGS_2023-03-23_final.stac-item
2023-03-23 09:42:52	ga_s2bm_ard_3-2-1_56KMA_2023-03-23_final.stac-item
2023-03-23 09:43:00	ga_s2bm_ard_3-2-1_55KHR_2023-03-23_final.stac-item
2023-03-23 09:43:03	ga_s2bm_ard_3-2-1_55KGR_2023-03-23_final.stac-item
2023-03-23 09:43:18	ga_s2bm_ard_3-2-1_55KGQ_2023-03-23_final.stac-item
2023-03-23 09:43:37	ga_s2bm_ard_3-2-1_55KFP_2023-03-23_final.stac-item
2023-03-23 09:43:40	ga_s2bm_ard_3-2-1_56JLT_2023-03-23_final.stac-item
2023-03-23 09:43:43	ga_s2bm_ard_3-2-1_55JHN_2023-03-23_final.stac-item
2023-03-23 09:43:50	ga_s2bm_ard_3-2-1_55JFN_2023-03-23_final.stac-item
2023-03-23 09:43:58	ga_s2bm_ard_3-2-1_55JHM_2023-03-23_final.stac-item
2023-03-23 09:44:01	ga_s2bm_ard_3-2-1_55JGM_2023-03-23_final.stac-item
2023-03-23 09:44:52	ga_s2bm_ard_3-2-1_55JEJ_2023-03-23_final.stac-item
2023-03-23 09:46:04	ga_s2bm_ard_3-2-1_55HED_2023-03-23_final.stac-item
2023-03-23 09:46:08	ga_s2bm_ard_3-2-1_55HDD_2023-03-23_final.stac-item
2023-03-23 09:48:00	ga_s2bm_ard_3-2-1_55GER_2023-03-23_final.stac-item
2023-03-23 09:48:04	ga_s2bm_ard_3-2-1_55GDR_2023-03-23_final.stac-item
2023-03-23 09:48:08	ga_s2bm_ard_3-2-1_55GCR_2023-03-23_final.stac-item
2023-03-23 09:48:18	ga_s2bm_ard_3-2-1_55GDQ_2023-03-23_final.stac-item
2023-03-23 09:48:25	ga_s2bm_ard_3-2-1_55GBQ_2023-03-23_final.stac-item
2023-03-23 09:48:48	ga_s2bm_ard_3-2-1_55GCN_2023-03-23_final.stac-item
2023-03-23 09:48:49	ga_s2bm_ard_3-2-1_54GYT_2023-03-23_nrt.stac-item
2023-03-23 09:48:51	ga_s2bm_ard_3-2-1_54GXT_2023-03-23_nrt.stac-item
2023-03-23 09:48:54	ga_s2bm_ard_3-2-1_55GCN_2023-03-23_final.stac-item
2023-03-23 09:48:56	ga_s2bm_ard_3-2-1_54GYT_2023-03-23_nrt.stac-item
2023-03-23 09:48:58	ga_s2bm_ard_3-2-1_54GXT_2023-03-23_nrt.stac-item
2023-03-23 09:49:00	ga_s2bm_ard_3-2-1_55GDM_2023-03-23_final.stac-item
2023-03-23 09:49:02	ga_s2bm_ard_3-2-1_55GCM_2023-03-23_final.stac-item
2023-03-23 09:49:04	ga_s2bm_ard_3-2-1_54GYS_2023-03-23_nrt.stac-item
2023-03-23 09:49:05	ga_s2bm_ard_3-2-1_54GXS_2023-03-23_nrt.stac-item
2023-03-23 11:20:47	ga_s2bm_ard_3-2-1_52LEM_2023-03-23_nrt.stac-item
2023-03-23 11:20:51	ga_s2bm_ard_3-2-1_52LDM_2023-03-23_nrt.stac-item
2023-03-23 11:20:54	ga_s2bm_ard_3-2-1_52LCM_2023-03-23_nrt.stac-item
2023-03-23 11:20:57	ga_s2bm_ard_3-2-1_52LBM_2023-03-23_nrt.stac-item
2023-03-23 11:20:59	ga_s2bm_ard_3-2-1_51LZG_2023-03-23_nrt.stac-item
2023-03-23 11:21:00	ga_s2bm_ard_3-2-1_52LEL_2023-03-23_final.stac-item
2023-03-23 11:21:05	ga_s2bm_ard_3-2-1_52LDL_2023-03-23_nrt.stac-item
2023-03-23 11:21:09	ga_s2bm_ard_3-2-1_52LCL_2023-03-23_nrt.stac-item
2023-03-23 11:21:10	ga_s2bm_ard_3-2-1_52LEK_2023-03-23_final.stac-item
2023-03-23 11:21:13	ga_s2bm_ard_3-2-1_51LZF_2023-03-23_nrt.stac-item
2023-03-23 11:21:26	ga_s2bm_ard_3-2-1_52LBK_2023-03-23_final.stac-item
2023-03-23 11:21:28	ga_s2bm_ard_3-2-1_51LZE_2023-03-23_final.stac-item
2023-03-23 11:21:38	ga_s2bm_ard_3-2-1_52LCJ_2023-03-23_final.stac-item
2023-03-23 11:21:41	ga_s2bm_ard_3-2-1_52LBJ_2023-03-23_final.stac-item
2023-03-23 11:21:42	ga_s2bm_ard_3-2-1_51LZD_2023-03-23_final.stac-item
2023-03-23 11:22:03	ga_s2bm_ard_3-2-1_52KDG_2023-03-23_final.stac-item
2023-03-23 11:22:10	ga_s2bm_ard_3-2-1_52KBG_2023-03-23_final.stac-item
2023-03-23 11:22:11	ga_s2bm_ard_3-2-1_51KZB_2023-03-23_final.stac-item
2023-03-23 11:22:14	ga_s2bm_ard_3-2-1_51KYB_2023-03-23_final.stac-item
2023-03-23 11:22:25	ga_s2bm_ard_3-2-1_52KBF_2023-03-23_final.stac-item
2023-03-23 11:22:26	ga_s2bm_ard_3-2-1_51KZA_2023-03-23_final.stac-item
2023-03-23 11:22:29	ga_s2bm_ard_3-2-1_51KYA_2023-03-23_final.stac-item
2023-03-23 11:22:36	ga_s2bm_ard_3-2-1_52KCE_2023-03-23_final.stac-item
2023-03-23 11:22:54	ga_s2bm_ard_3-2-1_52KBD_2023-03-23_final.stac-item
2023-03-23 11:22:55	ga_s2bm_ard_3-2-1_51KZU_2023-03-23_final.stac-item
2023-03-23 11:22:58	ga_s2bm_ard_3-2-1_51KYU_2023-03-23_final.stac-item
2023-03-23 11:23:08	ga_s2bm_ard_3-2-1_52KBC_2023-03-23_final.stac-item
2023-03-23 11:23:09	ga_s2bm_ard_3-2-1_51KZT_2023-03-23_final.stac-item
2023-03-23 11:23:12	ga_s2bm_ard_3-2-1_51KYT_2023-03-23_final.stac-item
2023-03-23 11:23:23	ga_s2bm_ard_3-2-1_52KBB_2023-03-23_final.stac-item
2023-03-23 11:23:27	ga_s2bm_ard_3-2-1_51KYS_2023-03-23_final.stac-item
2023-03-23 11:23:37	ga_s2bm_ard_3-2-1_52KBA_2023-03-23_final.stac-item
2023-03-23 11:23:38	ga_s2bm_ard_3-2-1_51KZR_2023-03-23_final.stac-item
2023-03-23 11:23:41	ga_s2bm_ard_3-2-1_51KYR_2023-03-23_final.stac-item
2023-03-23 11:23:56	ga_s2bm_ard_3-2-1_51KYQ_2023-03-23_final.stac-item
2023-03-23 11:24:04	ga_s2bm_ard_3-2-1_51KWQ_2023-03-23_final.stac-item
2023-03-23 11:24:17	ga_s2bm_ard_3-2-1_51KWP_2023-03-23_final.stac-item
2023-03-23 11:24:21	ga_s2bm_ard_3-2-1_51JZN_2023-03-23_final.stac-item
2023-03-23 11:24:28	ga_s2bm_ard_3-2-1_51JXN_2023-03-23_final.stac-item
2023-03-23 11:24:32	ga_s2bm_ard_3-2-1_51JWN_2023-03-23_final.stac-item
2023-03-23 11:24:34	ga_s2bm_ard_3-2-1_51JZM_2023-03-23_final.stac-item
2023-03-23 11:24:39	ga_s2bm_ard_3-2-1_51JYM_2023-03-23_final.stac-item
2023-03-23 11:24:46	ga_s2bm_ard_3-2-1_51JWM_2023-03-23_final.stac-item
2023-03-23 11:26:42	ga_s2bm_ard_3-2-1_51HWD_2023-03-23_final.stac-item
2023-03-23 11:26:46	ga_s2bm_ard_3-2-1_51HVD_2023-03-23_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

Other products

All years