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
2020-09-06 12:04:52	ga_s2bm_ard_3-2-1_50JMS_2020-09-06_final
2020-09-06 12:05:00	ga_s2bm_ard_3-2-1_50JKS_2020-09-06_final
2020-09-06 12:05:02	ga_s2bm_ard_3-2-1_50JMR_2020-09-06_final
2020-09-06 12:05:03	ga_s2bm_ard_3-2-1_49JGM_2020-09-06_final
2020-09-06 12:05:40	ga_s2bm_ard_3-2-1_50JLP_2020-09-06_final
2020-09-06 12:06:17	ga_s2bm_ard_3-2-1_50JLL_2020-09-06_final
2020-09-07 09:51:15	ga_s2bm_ard_3-2-1_55LHC_2020-09-07_final.stac-item
2020-09-07 09:51:18	ga_s2bm_ard_3-2-1_55LGC_2020-09-07_final
2020-09-07 09:51:21	ga_s2bm_ard_3-2-1_55LFC_2020-09-07_final
2020-09-07 09:51:36	ga_s2bm_ard_3-2-1_55KFB_2020-09-07_final
2020-09-07 09:52:08	ga_s2bm_ard_3-2-1_55KEV_2020-09-07_final
2020-09-07 09:52:20	ga_s2bm_ard_3-2-1_55KFU_2020-09-07_final
2020-09-07 09:52:23	ga_s2bm_ard_3-2-1_55KEU_2020-09-07_final
2020-09-07 09:52:34	ga_s2bm_ard_3-2-1_55KFT_2020-09-07_final
2020-09-07 09:52:37	ga_s2bm_ard_3-2-1_55KET_2020-09-07_final
2020-09-07 09:52:45	ga_s2bm_ard_3-2-1_55KGS_2020-09-07_final
2020-09-07 09:52:49	ga_s2bm_ard_3-2-1_55KFS_2020-09-07_final
2020-09-07 09:52:59	ga_s2bm_ard_3-2-1_55KGR_2020-09-07_final
2020-09-07 09:53:03	ga_s2bm_ard_3-2-1_55KFR_2020-09-07_final
2020-09-07 09:53:06	ga_s2bm_ard_3-2-1_55KER_2020-09-07_final
2020-09-07 09:53:10	ga_s2bm_ard_3-2-1_55KDR_2020-09-07_final
2020-09-07 09:53:14	ga_s2bm_ard_3-2-1_55KGQ_2020-09-07_final
2020-09-07 09:53:18	ga_s2bm_ard_3-2-1_55KFQ_2020-09-07_final
2020-09-07 09:53:21	ga_s2bm_ard_3-2-1_55KEQ_2020-09-07_final
2020-09-07 09:53:24	ga_s2bm_ard_3-2-1_55KDQ_2020-09-07_final
2020-09-07 09:53:28	ga_s2bm_ard_3-2-1_55KGP_2020-09-07_final
2020-09-07 09:53:32	ga_s2bm_ard_3-2-1_55KFP_2020-09-07_final
2020-09-07 09:53:36	ga_s2bm_ard_3-2-1_55KEP_2020-09-07_final
2020-09-07 09:53:39	ga_s2bm_ard_3-2-1_55KDP_2020-09-07_final
2020-09-07 09:54:05	ga_s2bm_ard_3-2-1_55JEM_2020-09-07_final
2020-09-07 09:54:08	ga_s2bm_ard_3-2-1_55JDM_2020-09-07_final
2020-09-07 09:54:19	ga_s2bm_ard_3-2-1_55JEL_2020-09-07_final
2020-09-07 09:54:22	ga_s2bm_ard_3-2-1_55JDL_2020-09-07_final
2020-09-07 09:54:34	ga_s2bm_ard_3-2-1_55JEK_2020-09-07_final
2020-09-07 09:54:37	ga_s2bm_ard_3-2-1_55JDK_2020-09-07_final
2020-09-07 09:54:43	ga_s2bm_ard_3-2-1_55JFJ_2020-09-07_final
2020-09-07 09:55:17	ga_s2bm_ard_3-2-1_55JEG_2020-09-07_final
2020-09-07 09:55:21	ga_s2bm_ard_3-2-1_55JDG_2020-09-07_final
2020-09-07 09:55:35	ga_s2bm_ard_3-2-1_55JDF_2020-09-07_final
2020-09-07 09:55:39	ga_s2bm_ard_3-2-1_55JCF_2020-09-07_final
2020-09-07 09:55:57	ga_s2bm_ard_3-2-1_55HED_2020-09-07_final
2020-09-07 09:56:40	ga_s2bm_ard_3-2-1_55HBB_2020-09-07_final
2020-09-07 09:56:42	ga_s2bm_ard_3-2-1_54HYG_2020-09-07_final
2020-09-07 09:56:51	ga_s2bm_ard_3-2-1_55HCA_2020-09-07_final
2020-09-07 09:57:00	ga_s2bm_ard_3-2-1_54HXF_2020-09-07_final
2020-09-07 09:57:43	ga_s2bm_ard_3-2-1_55HCS_2020-09-07_final
2020-09-07 09:57:44	ga_s2bm_ard_3-2-1_54HYB_2020-09-07_final
2020-09-07 09:57:50	ga_s2bm_ard_3-2-1_55HCS_2020-09-07_final
2020-09-07 09:57:53	ga_s2bm_ard_3-2-1_55HBS_2020-09-07_final
2020-09-07 09:57:54	ga_s2bm_ard_3-2-1_54HYB_2020-09-07_final
2020-09-07 11:31:21	ga_s2bm_ard_3-2-1_52LBK_2020-09-07_final
2020-09-07 11:31:23	ga_s2bm_ard_3-2-1_51LZE_2020-09-07_final
2020-09-07 11:31:27	ga_s2bm_ard_3-2-1_51LYE_2020-09-07_final
2020-09-07 11:31:33	ga_s2bm_ard_3-2-1_51LWE_2020-09-07_final
2020-09-07 11:31:51	ga_s2bm_ard_3-2-1_51LZC_2020-09-07_final
2020-09-07 11:31:56	ga_s2bm_ard_3-2-1_51LYC_2020-09-07_final
2020-09-07 11:31:59	ga_s2bm_ard_3-2-1_51LXC_2020-09-07_final
2020-09-07 11:32:03	ga_s2bm_ard_3-2-1_51LWC_2020-09-07_final
2020-09-07 11:32:14	ga_s2bm_ard_3-2-1_51KXB_2020-09-07_final
2020-09-07 11:32:17	ga_s2bm_ard_3-2-1_51KWB_2020-09-07_final
2020-09-07 11:32:22	ga_s2bm_ard_3-2-1_51KVB_2020-09-07_final
2020-09-07 11:32:32	ga_s2bm_ard_3-2-1_51KWA_2020-09-07_final
2020-09-07 11:32:35	ga_s2bm_ard_3-2-1_51KVA_2020-09-07_final
2020-09-07 11:32:39	ga_s2bm_ard_3-2-1_51KYV_2020-09-07_final
2020-09-07 11:32:43	ga_s2bm_ard_3-2-1_51KXV_2020-09-07_final
2020-09-07 11:32:46	ga_s2bm_ard_3-2-1_51KWV_2020-09-07_final
2020-09-07 11:32:49	ga_s2bm_ard_3-2-1_51KVV_2020-09-07_final
2020-09-07 11:32:57	ga_s2bm_ard_3-2-1_51KXU_2020-09-07_final
2020-09-07 11:33:01	ga_s2bm_ard_3-2-1_51KWU_2020-09-07_final
2020-09-07 11:33:03	ga_s2bm_ard_3-2-1_51KVU_2020-09-07_final
2020-09-07 11:33:07	ga_s2bm_ard_3-2-1_51KXT_2020-09-07_final
2020-09-07 11:33:08	ga_s2bm_ard_3-2-1_51KWU_2020-09-07_final
2020-09-07 11:33:09	ga_s2bm_ard_3-2-1_51KWT_2020-09-07_final
2020-09-07 11:33:10	ga_s2bm_ard_3-2-1_51KVT_2020-09-07_final
2020-09-07 11:33:10	ga_s2bm_ard_3-2-1_51KVU_2020-09-07_final
2020-09-07 11:33:14	ga_s2bm_ard_3-2-1_51KXT_2020-09-07_final
2020-09-07 11:33:16	ga_s2bm_ard_3-2-1_51KWT_2020-09-07_final
2020-09-07 11:33:19	ga_s2bm_ard_3-2-1_51KVT_2020-09-07_final
2020-09-07 11:33:25	ga_s2bm_ard_3-2-1_51KUT_2020-09-07_final
2020-09-07 11:33:41	ga_s2bm_ard_3-2-1_51KXR_2020-09-07_final
2020-09-07 11:33:44	ga_s2bm_ard_3-2-1_51KWR_2020-09-07_final
2020-09-07 11:33:48	ga_s2bm_ard_3-2-1_51KVR_2020-09-07_final
2020-09-07 11:33:51	ga_s2bm_ard_3-2-1_51KUR_2020-09-07_final
2020-09-07 11:33:55	ga_s2bm_ard_3-2-1_51KXQ_2020-09-07_final
2020-09-07 11:33:59	ga_s2bm_ard_3-2-1_51KWQ_2020-09-07_final
2020-09-07 11:34:02	ga_s2bm_ard_3-2-1_51KVQ_2020-09-07_final
2020-09-07 11:34:06	ga_s2bm_ard_3-2-1_51KUQ_2020-09-07_final
2020-09-07 11:34:08	ga_s2bm_ard_3-2-1_51KXP_2020-09-07_final
2020-09-07 11:34:13	ga_s2bm_ard_3-2-1_51KWP_2020-09-07_final
2020-09-07 11:34:17	ga_s2bm_ard_3-2-1_51KVP_2020-09-07_final
2020-09-07 11:34:20	ga_s2bm_ard_3-2-1_51KUP_2020-09-07_final
2020-09-07 11:34:42	ga_s2bm_ard_3-2-1_51JWM_2020-09-07_final
2020-09-07 11:34:46	ga_s2bm_ard_3-2-1_51JVM_2020-09-07_final
2020-09-07 11:34:57	ga_s2bm_ard_3-2-1_51JWL_2020-09-07_final
2020-09-07 11:35:01	ga_s2bm_ard_3-2-1_51JVL_2020-09-07_final
2020-09-07 11:35:11	ga_s2bm_ard_3-2-1_51JWK_2020-09-07_final
2020-09-07 11:35:15	ga_s2bm_ard_3-2-1_51JVK_2020-09-07_final
2020-09-07 11:36:17	ga_s2bm_ard_3-2-1_51JUF_2020-09-07_final
2020-09-07 11:36:26	ga_s2bm_ard_3-2-1_51HVE_2020-09-07_final
2020-09-07 11:36:36	ga_s2bm_ard_3-2-1_51HVD_2020-09-07_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