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
2020-11-15 12:04:29	ga_s2bm_ard_3-2-1_49KHP_2020-11-15_final
2020-11-15 12:04:29	ga_s2bm_ard_3-2-1_50KKU_2020-11-15_final
2020-11-15 12:04:36	ga_s2bm_ard_3-2-1_50JMT_2020-11-15_final
2020-11-15 12:04:40	ga_s2bm_ard_3-2-1_50JLT_2020-11-15_final
2020-11-15 12:04:43	ga_s2bm_ard_3-2-1_49JHN_2020-11-15_final
2020-11-15 12:04:43	ga_s2bm_ard_3-2-1_50JKT_2020-11-15_final
2020-11-15 12:04:49	ga_s2bm_ard_3-2-1_50JMS_2020-11-15_final
2020-11-15 12:04:54	ga_s2bm_ard_3-2-1_50JLS_2020-11-15_final
2020-11-15 12:04:57	ga_s2bm_ard_3-2-1_49JHM_2020-11-15_final
2020-11-15 12:05:01	ga_s2bm_ard_3-2-1_49JGM_2020-11-15_final
2020-11-15 12:05:56	ga_s2bm_ard_3-2-1_50JKN_2020-11-15_final
2020-11-15 12:05:59	ga_s2bm_ard_3-2-1_49JGH_2020-11-15_final.stac-item
2020-11-16 09:51:26	ga_s2bm_ard_3-2-1_56KKG_2020-11-16_final.stac-item
2020-11-16 09:51:27	ga_s2bm_ard_3-2-1_55KHB_2020-11-16_final.stac-item
2020-11-16 09:51:34	ga_s2bm_ard_3-2-1_55KFB_2020-11-16_final
2020-11-16 09:51:41	ga_s2bm_ard_3-2-1_56KKF_2020-11-16_final
2020-11-16 09:51:49	ga_s2bm_ard_3-2-1_55KFA_2020-11-16_final
2020-11-16 09:52:14	ga_s2bm_ard_3-2-1_55KGU_2020-11-16_final
2020-11-16 09:52:29	ga_s2bm_ard_3-2-1_55KGT_2020-11-16_final
2020-11-16 09:52:36	ga_s2bm_ard_3-2-1_55KHS_2020-11-16_final
2020-11-16 09:52:43	ga_s2bm_ard_3-2-1_55KGS_2020-11-16_final
2020-11-16 09:52:47	ga_s2bm_ard_3-2-1_55KFS_2020-11-16_final
2020-11-16 09:52:50	ga_s2bm_ard_3-2-1_55KES_2020-11-16_final
2020-11-16 09:52:56	ga_s2bm_ard_3-2-1_55KDS_2020-11-16_final
2020-11-16 09:52:57	ga_s2bm_ard_3-2-1_55KGR_2020-11-16_final
2020-11-16 09:53:04	ga_s2bm_ard_3-2-1_55KER_2020-11-16_final
2020-11-16 09:53:12	ga_s2bm_ard_3-2-1_55KGQ_2020-11-16_final
2020-11-16 09:53:16	ga_s2bm_ard_3-2-1_55KFQ_2020-11-16_final
2020-11-16 09:53:26	ga_s2bm_ard_3-2-1_55KGP_2020-11-16_final
2020-11-16 09:53:30	ga_s2bm_ard_3-2-1_55KFP_2020-11-16_final
2020-11-16 09:53:44	ga_s2bm_ard_3-2-1_55JFN_2020-11-16_final
2020-11-16 09:53:48	ga_s2bm_ard_3-2-1_55JEN_2020-11-16_final
2020-11-16 09:53:52	ga_s2bm_ard_3-2-1_55JDN_2020-11-16_final
2020-11-16 09:53:59	ga_s2bm_ard_3-2-1_55JCN_2020-11-16_final
2020-11-16 09:53:59	ga_s2bm_ard_3-2-1_55JFM_2020-11-16_final
2020-11-16 09:54:03	ga_s2bm_ard_3-2-1_55JEM_2020-11-16_final
2020-11-16 09:54:06	ga_s2bm_ard_3-2-1_55JDM_2020-11-16_final
2020-11-16 09:54:10	ga_s2bm_ard_3-2-1_55JCM_2020-11-16_final
2020-11-16 09:54:14	ga_s2bm_ard_3-2-1_55JFL_2020-11-16_final
2020-11-16 09:54:23	ga_s2bm_ard_3-2-1_55JCL_2020-11-16_final
2020-11-16 09:54:32	ga_s2bm_ard_3-2-1_55JEK_2020-11-16_final
2020-11-16 09:54:35	ga_s2bm_ard_3-2-1_55JDK_2020-11-16_final
2020-11-16 09:54:46	ga_s2bm_ard_3-2-1_55JEJ_2020-11-16_final
2020-11-16 09:54:50	ga_s2bm_ard_3-2-1_55JDJ_2020-11-16_final
2020-11-16 09:55:12	ga_s2bm_ard_3-2-1_55JBH_2020-11-16_final
2020-11-16 09:55:33	ga_s2bm_ard_3-2-1_55JDF_2020-11-16_final
2020-11-16 09:56:17	ga_s2bm_ard_3-2-1_55HDC_2020-11-16_final
2020-11-16 09:56:23	ga_s2bm_ard_3-2-1_55HBC_2020-11-16_final
2020-11-16 09:56:25	ga_s2bm_ard_3-2-1_54HYH_2020-11-16_final
2020-11-16 09:56:46	ga_s2bm_ard_3-2-1_55HDA_2020-11-16_final
2020-11-16 09:57:07	ga_s2bm_ard_3-2-1_55HBV_2020-11-16_final
2020-11-16 09:58:02	ga_s2bm_ard_3-2-1_55GCR_2020-11-16_final
2020-11-16 09:58:06	ga_s2bm_ard_3-2-1_55GBR_2020-11-16_final
2020-11-16 09:58:15	ga_s2bm_ard_3-2-1_55GCQ_2020-11-16_final
2020-11-16 09:58:20	ga_s2bm_ard_3-2-1_55GBQ_2020-11-16_final.stac-item
2020-11-16 09:58:20	ga_s2bm_ard_3-2-1_54GYV_2020-11-16_final.stac-item
2020-11-16 09:58:24	ga_s2bm_ard_3-2-1_55GCP_2020-11-16_final
2020-11-16 11:31:31	ga_s2bm_ard_3-2-1_51LWE_2020-11-16_final
2020-11-16 11:31:43	ga_s2bm_ard_3-2-1_51LXD_2020-11-16_final
2020-11-16 11:32:00	ga_s2bm_ard_3-2-1_51KZB_2020-11-16_final
2020-11-16 11:32:07	ga_s2bm_ard_3-2-1_51KYB_2020-11-16_final
2020-11-16 11:32:09	ga_s2bm_ard_3-2-1_51KXB_2020-11-16_final
2020-11-16 11:32:11	ga_s2bm_ard_3-2-1_51KWB_2020-11-16_final
2020-11-16 11:32:14	ga_s2bm_ard_3-2-1_51KYB_2020-11-16_final
2020-11-16 11:32:16	ga_s2bm_ard_3-2-1_51KXB_2020-11-16_final
2020-11-16 11:32:17	ga_s2bm_ard_3-2-1_51KWB_2020-11-16_final
2020-11-16 11:32:21	ga_s2bm_ard_3-2-1_51KVB_2020-11-16_final
2020-11-16 11:32:23	ga_s2bm_ard_3-2-1_51KYA_2020-11-16_final
2020-11-16 11:32:26	ga_s2bm_ard_3-2-1_51KXA_2020-11-16_final
2020-11-16 11:32:30	ga_s2bm_ard_3-2-1_51KWA_2020-11-16_final
2020-11-16 11:32:51	ga_s2bm_ard_3-2-1_51KYU_2020-11-16_final
2020-11-16 11:32:55	ga_s2bm_ard_3-2-1_51KXU_2020-11-16_final
2020-11-16 11:33:03	ga_s2bm_ard_3-2-1_51KYT_2020-11-16_final
2020-11-16 11:33:24	ga_s2bm_ard_3-2-1_51KXS_2020-11-16_final
2020-11-16 11:33:28	ga_s2bm_ard_3-2-1_51KWS_2020-11-16_final
2020-11-16 11:33:31	ga_s2bm_ard_3-2-1_51KVS_2020-11-16_final
2020-11-16 11:33:35	ga_s2bm_ard_3-2-1_51KUS_2020-11-16_final
2020-11-16 11:33:42	ga_s2bm_ard_3-2-1_51KWR_2020-11-16_final
2020-11-16 11:33:46	ga_s2bm_ard_3-2-1_51KVR_2020-11-16_final
2020-11-16 11:33:53	ga_s2bm_ard_3-2-1_51KXQ_2020-11-16_final
2020-11-16 11:34:06	ga_s2bm_ard_3-2-1_51KXP_2020-11-16_final
2020-11-16 11:34:16	ga_s2bm_ard_3-2-1_51JXN_2020-11-16_final
2020-11-16 11:34:18	ga_s2bm_ard_3-2-1_51KUP_2020-11-16_final
2020-11-16 11:34:26	ga_s2bm_ard_3-2-1_51JWN_2020-11-16_final
2020-11-16 11:34:30	ga_s2bm_ard_3-2-1_51JVN_2020-11-16_final
2020-11-16 11:34:33	ga_s2bm_ard_3-2-1_51JUN_2020-11-16_final
2020-11-16 11:34:37	ga_s2bm_ard_3-2-1_51JTN_2020-11-16_final
2020-11-16 11:34:38	ga_s2bm_ard_3-2-1_50JRT_2020-11-16_final
2020-11-16 11:34:40	ga_s2bm_ard_3-2-1_51JWM_2020-11-16_final
2020-11-16 11:34:44	ga_s2bm_ard_3-2-1_51JVM_2020-11-16_final
2020-11-16 11:34:47	ga_s2bm_ard_3-2-1_51JUM_2020-11-16_final
2020-11-16 11:34:50	ga_s2bm_ard_3-2-1_50JRS_2020-11-16_final
2020-11-16 11:35:02	ga_s2bm_ard_3-2-1_51JUL_2020-11-16_final
2020-11-16 11:35:09	ga_s2bm_ard_3-2-1_51JWK_2020-11-16_final
2020-11-16 11:35:13	ga_s2bm_ard_3-2-1_51JVK_2020-11-16_final
2020-11-16 11:35:20	ga_s2bm_ard_3-2-1_51JWJ_2020-11-16_final
2020-11-16 11:35:27	ga_s2bm_ard_3-2-1_51JVJ_2020-11-16_final
2020-11-16 11:35:49	ga_s2bm_ard_3-2-1_51JTH_2020-11-16_final
2020-11-16 11:35:51	ga_s2bm_ard_3-2-1_50JQN_2020-11-16_final
2020-11-16 11:37:02	ga_s2bm_ard_3-2-1_51HTC_2020-11-16_final

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