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
2022-06-28 12:05:28	ga_s2bm_ard_3-2-1_50JLQ_2022-06-28_final
2022-06-28 12:05:31	ga_s2bm_ard_3-2-1_50JKQ_2022-06-28_final
2022-06-28 12:05:34	ga_s2bm_ard_3-2-1_49JGK_2022-06-28_final
2022-06-28 12:05:43	ga_s2bm_ard_3-2-1_50JLP_2022-06-28_final
2022-06-28 12:06:09	ga_s2bm_ard_3-2-1_50JLM_2022-06-28_final
2022-06-29 09:51:45	ga_s2bm_ard_3-2-1_56KKF_2022-06-29_final
2022-06-29 09:52:11	ga_s2bm_ard_3-2-1_55KEV_2022-06-29_final
2022-06-29 09:52:47	ga_s2bm_ard_3-2-1_55KGS_2022-06-29_final
2022-06-29 09:52:51	ga_s2bm_ard_3-2-1_55KFS_2022-06-29_final
2022-06-29 09:52:54	ga_s2bm_ard_3-2-1_55KES_2022-06-29_final
2022-06-29 09:53:00	ga_s2bm_ard_3-2-1_55KDS_2022-06-29_final
2022-06-29 09:53:09	ga_s2bm_ard_3-2-1_55KER_2022-06-29_final
2022-06-29 09:53:12	ga_s2bm_ard_3-2-1_55KDR_2022-06-29_final
2022-06-29 09:53:16	ga_s2bm_ard_3-2-1_55KGQ_2022-06-29_final
2022-06-29 09:53:20	ga_s2bm_ard_3-2-1_55KFQ_2022-06-29_final
2022-06-29 09:53:30	ga_s2bm_ard_3-2-1_55KGP_2022-06-29_final
2022-06-29 09:53:34	ga_s2bm_ard_3-2-1_55KFP_2022-06-29_final
2022-06-29 09:53:42	ga_s2bm_ard_3-2-1_55JGN_2022-06-29_final
2022-06-29 09:53:52	ga_s2bm_ard_3-2-1_55JEN_2022-06-29_final
2022-06-29 09:53:56	ga_s2bm_ard_3-2-1_55JDN_2022-06-29_final
2022-06-29 09:54:02	ga_s2bm_ard_3-2-1_55JCN_2022-06-29_final
2022-06-29 09:54:07	ga_s2bm_ard_3-2-1_55JEM_2022-06-29_final
2022-06-29 09:54:10	ga_s2bm_ard_3-2-1_55JDM_2022-06-29_final
2022-06-29 09:54:14	ga_s2bm_ard_3-2-1_55JCM_2022-06-29_final
2022-06-29 09:54:18	ga_s2bm_ard_3-2-1_55JFL_2022-06-29_final
2022-06-29 09:54:32	ga_s2bm_ard_3-2-1_55JFK_2022-06-29_final
2022-06-29 09:54:43	ga_s2bm_ard_3-2-1_55JCK_2022-06-29_final
2022-06-29 09:54:45	ga_s2bm_ard_3-2-1_55JFJ_2022-06-29_final
2022-06-29 09:54:55	ga_s2bm_ard_3-2-1_55JFH_2022-06-29_final
2022-06-29 09:54:57	ga_s2bm_ard_3-2-1_55JCJ_2022-06-29_final
2022-06-29 09:55:06	ga_s2bm_ard_3-2-1_55JCJ_2022-06-29_final
2022-06-29 09:55:19	ga_s2bm_ard_3-2-1_55JEG_2022-06-29_final
2022-06-29 09:55:23	ga_s2bm_ard_3-2-1_55JDG_2022-06-29_final
2022-06-29 09:55:26	ga_s2bm_ard_3-2-1_55JCG_2022-06-29_final
2022-06-29 09:55:34	ga_s2bm_ard_3-2-1_55JEF_2022-06-29_final
2022-06-29 09:55:38	ga_s2bm_ard_3-2-1_55JDF_2022-06-29_final
2022-06-29 09:55:41	ga_s2bm_ard_3-2-1_55JCF_2022-06-29_final
2022-06-29 09:55:48	ga_s2bm_ard_3-2-1_55HEE_2022-06-29_final
2022-06-29 09:55:52	ga_s2bm_ard_3-2-1_55HDE_2022-06-29_final
2022-06-29 09:55:55	ga_s2bm_ard_3-2-1_55HCE_2022-06-29_final
2022-06-29 09:55:59	ga_s2bm_ard_3-2-1_55HBE_2022-06-29_final
2022-06-29 09:56:02	ga_s2bm_ard_3-2-1_54HYK_2022-06-29_final
2022-06-29 09:56:13	ga_s2bm_ard_3-2-1_55HBD_2022-06-29_final
2022-06-29 09:56:15	ga_s2bm_ard_3-2-1_54HYJ_2022-06-29_final
2022-06-29 09:56:25	ga_s2bm_ard_3-2-1_55HCC_2022-06-29_final
2022-06-29 09:56:28	ga_s2bm_ard_3-2-1_55HBC_2022-06-29_final
2022-06-29 09:56:36	ga_s2bm_ard_3-2-1_55HDB_2022-06-29_final
2022-06-29 09:56:39	ga_s2bm_ard_3-2-1_55HCB_2022-06-29_final
2022-06-29 09:56:51	ga_s2bm_ard_3-2-1_54HXG_2022-06-29_final
2022-06-29 09:56:54	ga_s2bm_ard_3-2-1_55HCA_2022-06-29_final
2022-06-29 09:56:57	ga_s2bm_ard_3-2-1_55HBA_2022-06-29_final
2022-06-29 09:56:58	ga_s2bm_ard_3-2-1_54HYF_2022-06-29_final
2022-06-29 09:57:02	ga_s2bm_ard_3-2-1_54HXF_2022-06-29_final
2022-06-29 09:57:13	ga_s2bm_ard_3-2-1_55HDU_2022-06-29_final
2022-06-29 09:57:23	ga_s2bm_ard_3-2-1_55HCU_2022-06-29_final
2022-06-29 09:57:26	ga_s2bm_ard_3-2-1_55HBU_2022-06-29_final
2022-06-29 09:57:27	ga_s2bm_ard_3-2-1_54HYD_2022-06-29_final
2022-06-29 09:57:31	ga_s2bm_ard_3-2-1_54HXD_2022-06-29_final
2022-06-29 09:57:52	ga_s2bm_ard_3-2-1_55HCS_2022-06-29_final
2022-06-29 09:57:55	ga_s2bm_ard_3-2-1_55HBS_2022-06-29_final
2022-06-29 09:57:56	ga_s2bm_ard_3-2-1_54HYB_2022-06-29_final
2022-06-29 11:31:36	ga_s2bm_ard_3-2-1_51LWE_2022-06-29_final
2022-06-29 11:32:05	ga_s2bm_ard_3-2-1_51LWC_2022-06-29_final
2022-06-29 11:32:27	ga_s2bm_ard_3-2-1_51KYA_2022-06-29_final
2022-06-29 11:33:47	ga_s2bm_ard_3-2-1_51KWR_2022-06-29_final
2022-06-29 11:33:50	ga_s2bm_ard_3-2-1_51KVR_2022-06-29_final
2022-06-29 11:33:57	ga_s2bm_ard_3-2-1_51KXQ_2022-06-29_final
2022-06-29 11:34:01	ga_s2bm_ard_3-2-1_51KWQ_2022-06-29_final
2022-06-29 11:34:05	ga_s2bm_ard_3-2-1_51KVQ_2022-06-29_final
2022-06-29 11:34:08	ga_s2bm_ard_3-2-1_51KUQ_2022-06-29_final
2022-06-29 11:34:10	ga_s2bm_ard_3-2-1_51KXP_2022-06-29_final
2022-06-29 11:34:22	ga_s2bm_ard_3-2-1_51KUP_2022-06-29_final
2022-06-29 11:34:30	ga_s2bm_ard_3-2-1_51KTP_2022-06-29_final
2022-06-29 11:34:45	ga_s2bm_ard_3-2-1_51JWM_2022-06-29_final
2022-06-29 11:34:48	ga_s2bm_ard_3-2-1_51JVM_2022-06-29_final
2022-06-29 11:34:51	ga_s2bm_ard_3-2-1_51JUM_2022-06-29_final
2022-06-29 11:34:59	ga_s2bm_ard_3-2-1_51JWL_2022-06-29_final
2022-06-29 11:35:03	ga_s2bm_ard_3-2-1_51JVL_2022-06-29_final
2022-06-29 11:35:06	ga_s2bm_ard_3-2-1_51JUL_2022-06-29_final
2022-06-29 11:35:21	ga_s2bm_ard_3-2-1_51JUK_2022-06-29_final
2022-06-29 11:35:24	ga_s2bm_ard_3-2-1_51JTK_2022-06-29_final
2022-06-29 11:35:31	ga_s2bm_ard_3-2-1_50JQQ_2022-06-29_final
2022-06-29 11:35:35	ga_s2bm_ard_3-2-1_51JUJ_2022-06-29_final
2022-06-29 11:35:55	ga_s2bm_ard_3-2-1_50JQN_2022-06-29_final
2022-06-29 11:36:04	ga_s2bm_ard_3-2-1_51JUG_2022-06-29_final
2022-06-29 11:36:15	ga_s2bm_ard_3-2-1_51JVF_2022-06-29_final
2022-06-29 11:36:19	ga_s2bm_ard_3-2-1_51JUF_2022-06-29_final
2022-06-29 11:36:28	ga_s2bm_ard_3-2-1_51HVE_2022-06-29_final
2022-06-29 11:36:31	ga_s2bm_ard_3-2-1_50JPL_2022-06-29_final
2022-06-29 11:36:33	ga_s2bm_ard_3-2-1_51HUE_2022-06-29_final
2022-06-29 11:36:37	ga_s2bm_ard_3-2-1_51HTE_2022-06-29_final
2022-06-29 11:36:39	ga_s2bm_ard_3-2-1_50HQK_2022-06-29_final
2022-06-29 11:36:43	ga_s2bm_ard_3-2-1_50HPK_2022-06-29_final
2022-06-29 11:36:51	ga_s2bm_ard_3-2-1_51HTD_2022-06-29_final
2022-06-29 11:36:53	ga_s2bm_ard_3-2-1_50HQJ_2022-06-29_final
2022-06-29 11:37:02	ga_s2bm_ard_3-2-1_51HUC_2022-06-29_final
2022-06-29 11:37:06	ga_s2bm_ard_3-2-1_51HTC_2022-06-29_final
2022-06-29 11:37:08	ga_s2bm_ard_3-2-1_50HQH_2022-06-29_final
2022-06-29 11:37:12	ga_s2bm_ard_3-2-1_50HPH_2022-06-29_final
2022-06-29 11:37:17	ga_s2bm_ard_3-2-1_51HUB_2022-06-29_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

Other products

All years