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
2023-01-24 12:04:23	ga_s2bm_ard_3-2-1_50KLU_2023-01-24_final.stac-item
2023-01-24 12:04:57	ga_s2bm_ard_3-2-1_50JMR_2023-01-24_final.stac-item
2023-01-24 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2023-01-24_final.stac-item
2023-01-24 12:06:08	ga_s2bm_ard_3-2-1_50JKM_2023-01-24_final.stac-item
2023-01-24 12:06:11	ga_s2bm_ard_3-2-1_49JGG_2023-01-24_nrt.stac-item
2023-01-25 09:49:56	ga_s2bm_ard_3-2-1_56LKN_2023-01-25_nrt.stac-item
2023-01-25 09:49:57	ga_s2bm_ard_3-2-1_55LHH_2023-01-25_nrt.stac-item
2023-01-25 09:49:59	ga_s2bm_ard_3-2-1_55LGH_2023-01-25_nrt.stac-item
2023-01-25 09:51:23	ga_s2bm_ard_3-2-1_56KKG_2023-01-25_final.stac-item
2023-01-25 09:51:28	ga_s2bm_ard_3-2-1_55KGB_2023-01-25_final.stac-item
2023-01-25 09:51:38	ga_s2bm_ard_3-2-1_56KKF_2023-01-25_final.stac-item
2023-01-25 09:51:38	ga_s2bm_ard_3-2-1_55KHA_2023-01-25_nrt.stac-item
2023-01-25 09:51:42	ga_s2bm_ard_3-2-1_55KGA_2023-01-25_nrt.stac-item
2023-01-25 09:52:08	ga_s2bm_ard_3-2-1_55KHU_2023-01-25_nrt.stac-item
2023-01-25 09:52:11	ga_s2bm_ard_3-2-1_55KGU_2023-01-25_final.stac-item
2023-01-25 09:53:02	ga_s2bm_ard_3-2-1_55KER_2023-01-25_final.stac-item
2023-01-25 09:53:05	ga_s2bm_ard_3-2-1_55KDR_2023-01-25_final.stac-item
2023-01-25 09:53:09	ga_s2bm_ard_3-2-1_55KGQ_2023-01-25_final.stac-item
2023-01-25 09:53:23	ga_s2bm_ard_3-2-1_55KFP_2023-01-25_final.stac-item
2023-01-25 09:53:27	ga_s2bm_ard_3-2-1_55KGP_2023-01-25_final.stac-item
2023-01-25 09:53:30	ga_s2bm_ard_3-2-1_55KFP_2023-01-25_final.stac-item
2023-01-25 09:53:42	ga_s2bm_ard_3-2-1_55JFN_2023-01-25_final.stac-item
2023-01-25 09:53:45	ga_s2bm_ard_3-2-1_55JEN_2023-01-25_final.stac-item
2023-01-25 09:54:11	ga_s2bm_ard_3-2-1_55JFL_2023-01-25_final.stac-item
2023-01-25 09:54:14	ga_s2bm_ard_3-2-1_55JEL_2023-01-25_final.stac-item
2023-01-25 09:54:18	ga_s2bm_ard_3-2-1_55JDL_2023-01-25_final.stac-item
2023-01-25 09:54:21	ga_s2bm_ard_3-2-1_55JCL_2023-01-25_final.stac-item
2023-01-25 09:54:43	ga_s2bm_ard_3-2-1_55JEJ_2023-01-25_final.stac-item
2023-01-25 09:54:47	ga_s2bm_ard_3-2-1_55JDJ_2023-01-25_final.stac-item
2023-01-25 09:54:49	ga_s2bm_ard_3-2-1_55JFH_2023-01-25_final.stac-item
2023-01-25 09:54:58	ga_s2bm_ard_3-2-1_55JEH_2023-01-25_final.stac-item
2023-01-25 09:55:01	ga_s2bm_ard_3-2-1_55JDH_2023-01-25_final.stac-item
2023-01-25 09:55:22	ga_s2bm_ard_3-2-1_55JBG_2023-01-25_final.stac-item
2023-01-25 09:55:27	ga_s2bm_ard_3-2-1_55JEF_2023-01-25_final.stac-item
2023-01-25 09:55:30	ga_s2bm_ard_3-2-1_55JDF_2023-01-25_final.stac-item
2023-01-25 09:55:41	ga_s2bm_ard_3-2-1_55HEE_2023-01-25_final.stac-item
2023-01-25 09:55:45	ga_s2bm_ard_3-2-1_55HDE_2023-01-25_final.stac-item
2023-01-25 09:55:52	ga_s2bm_ard_3-2-1_55HED_2023-01-25_final.stac-item
2023-01-25 09:56:06	ga_s2bm_ard_3-2-1_55HBD_2023-01-25_final.stac-item
2023-01-25 09:56:08	ga_s2bm_ard_3-2-1_54HYJ_2023-01-25_final.stac-item
2023-01-25 09:56:14	ga_s2bm_ard_3-2-1_55HDC_2023-01-25_final.stac-item
2023-01-25 09:56:21	ga_s2bm_ard_3-2-1_55HBC_2023-01-25_final.stac-item
2023-01-25 09:56:23	ga_s2bm_ard_3-2-1_54HYH_2023-01-25_final.stac-item
2023-01-25 09:56:29	ga_s2bm_ard_3-2-1_55HDB_2023-01-25_final.stac-item
2023-01-25 09:56:35	ga_s2bm_ard_3-2-1_55HBB_2023-01-25_final.stac-item
2023-01-25 09:56:43	ga_s2bm_ard_3-2-1_55HDA_2023-01-25_final.stac-item
2023-01-25 09:56:44	ga_s2bm_ard_3-2-1_54HXG_2023-01-25_final.stac-item
2023-01-25 09:56:56	ga_s2bm_ard_3-2-1_55HDV_2023-01-25_final.stac-item
2023-01-25 09:57:01	ga_s2bm_ard_3-2-1_55HCV_2023-01-25_final.stac-item
2023-01-25 09:57:04	ga_s2bm_ard_3-2-1_55HBV_2023-01-25_final.stac-item
2023-01-25 09:57:06	ga_s2bm_ard_3-2-1_54HYE_2023-01-25_final.stac-item
2023-01-25 09:57:06	ga_s2bm_ard_3-2-1_55HDU_2023-01-25_final.stac-item
2023-01-25 09:57:09	ga_s2bm_ard_3-2-1_54HXE_2023-01-25_final.stac-item
2023-01-25 09:57:20	ga_s2bm_ard_3-2-1_54HYD_2023-01-25_final.stac-item
2023-01-25 09:57:24	ga_s2bm_ard_3-2-1_54HXD_2023-01-25_final.stac-item
2023-01-25 09:57:45	ga_s2bm_ard_3-2-1_55HCS_2023-01-25_final.stac-item
2023-01-25 09:57:48	ga_s2bm_ard_3-2-1_55HBS_2023-01-25_final.stac-item
2023-01-25 09:57:49	ga_s2bm_ard_3-2-1_54HYB_2023-01-25_final.stac-item
2023-01-25 09:57:53	ga_s2bm_ard_3-2-1_54HXB_2023-01-25_nrt.stac-item
2023-01-25 09:57:56	ga_s2bm_ard_3-2-1_54HWB_2023-01-25_nrt.stac-item
2023-01-25 09:58:03	ga_s2bm_ard_3-2-1_55GBR_2023-01-25_final.stac-item
2023-01-25 09:58:03	ga_s2bm_ard_3-2-1_54GYA_2023-01-25_final.stac-item
2023-01-25 09:58:07	ga_s2bm_ard_3-2-1_54GXA_2023-01-25_nrt.stac-item
2023-01-25 09:58:11	ga_s2bm_ard_3-2-1_54GWA_2023-01-25_nrt.stac-item
2023-01-25 09:58:12	ga_s2bm_ard_3-2-1_55GCQ_2023-01-25_final.stac-item
2023-01-25 09:58:17	ga_s2bm_ard_3-2-1_55GBQ_2023-01-25_final.stac-item
2023-01-25 09:58:17	ga_s2bm_ard_3-2-1_54GYV_2023-01-25_final.stac-item
2023-01-25 09:58:21	ga_s2bm_ard_3-2-1_54GXV_2023-01-25_nrt.stac-item
2023-01-25 09:58:22	ga_s2bm_ard_3-2-1_55GCP_2023-01-25_final.stac-item
2023-01-25 09:58:24	ga_s2bm_ard_3-2-1_54GWV_2023-01-25_nrt.stac-item
2023-01-25 09:58:27	ga_s2bm_ard_3-2-1_54GYU_2023-01-25_nrt.stac-item
2023-01-25 09:58:27	ga_s2bm_ard_3-2-1_55GBP_2023-01-25_nrt.stac-item
2023-01-25 09:58:29	ga_s2bm_ard_3-2-1_54GXU_2023-01-25_nrt.stac-item
2023-01-25 11:30:33	ga_s2bm_ard_3-2-1_52LBN_2023-01-25_nrt.stac-item
2023-01-25 11:30:35	ga_s2bm_ard_3-2-1_51LZH_2023-01-25_nrt.stac-item
2023-01-25 11:30:39	ga_s2bm_ard_3-2-1_51LYH_2023-01-25_nrt.stac-item
2023-01-25 11:31:15	ga_s2bm_ard_3-2-1_51LWF_2023-01-25_nrt.stac-item
2023-01-25 11:32:05	ga_s2bm_ard_3-2-1_51KYB_2023-01-25_final.stac-item
2023-01-25 11:32:20	ga_s2bm_ard_3-2-1_51KYA_2023-01-25_final.stac-item
2023-01-25 11:32:48	ga_s2bm_ard_3-2-1_51KYU_2023-01-25_final.stac-item
2023-01-25 11:34:03	ga_s2bm_ard_3-2-1_51KXP_2023-01-25_final.stac-item
2023-01-25 11:34:15	ga_s2bm_ard_3-2-1_51KUP_2023-01-25_final.stac-item
2023-01-25 11:34:38	ga_s2bm_ard_3-2-1_51JWM_2023-01-25_final.stac-item
2023-01-25 11:34:41	ga_s2bm_ard_3-2-1_51JVM_2023-01-25_final.stac-item
2023-01-25 11:34:52	ga_s2bm_ard_3-2-1_51JWL_2023-01-25_final.stac-item
2023-01-25 11:34:56	ga_s2bm_ard_3-2-1_51JVL_2023-01-25_final.stac-item
2023-01-25 11:34:59	ga_s2bm_ard_3-2-1_51JUL_2023-01-25_final.stac-item
2023-01-25 11:35:39	ga_s2bm_ard_3-2-1_51JVH_2023-01-25_final.stac-item
2023-01-25 11:36:00	ga_s2bm_ard_3-2-1_51JTG_2023-01-25_final.stac-item
2023-01-25 11:36:03	ga_s2bm_ard_3-2-1_50JQM_2023-01-25_final.stac-item
2023-01-25 11:36:08	ga_s2bm_ard_3-2-1_51JVF_2023-01-25_final.stac-item
2023-01-25 11:36:25	ga_s2bm_ard_3-2-1_50JPL_2023-01-25_final.stac-item
2023-01-25 11:36:32	ga_s2bm_ard_3-2-1_51HVD_2023-01-25_final.stac-item
2023-01-25 11:36:44	ga_s2bm_ard_3-2-1_51HTD_2023-01-25_final.stac-item
2023-01-25 11:36:46	ga_s2bm_ard_3-2-1_50HQJ_2023-01-25_final.stac-item
2023-01-25 11:36:59	ga_s2bm_ard_3-2-1_51HTC_2023-01-25_final.stac-item
2023-01-25 11:37:01	ga_s2bm_ard_3-2-1_50HQH_2023-01-25_final.stac-item
2023-01-25 11:37:15	ga_s2bm_ard_3-2-1_50HQG_2023-01-25_final.stac-item
2023-01-25 11:37:24	ga_s2bm_ard_3-2-1_50HNG_2023-01-25_final.stac-item
2023-01-25 11:37:26	ga_s2bm_ard_3-2-1_51HTA_2023-01-25_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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