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
2020-05-29 12:04:44	ga_s2bm_ard_3-2-1_49JHN_2020-05-29_final
2020-05-29 12:05:24	ga_s2bm_ard_3-2-1_50JLQ_2020-05-29_final
2020-05-29 12:05:27	ga_s2bm_ard_3-2-1_50JKQ_2020-05-29_final
2020-05-29 12:05:30	ga_s2bm_ard_3-2-1_49JGK_2020-05-29_final
2020-05-29 12:05:42	ga_s2bm_ard_3-2-1_50JKP_2020-05-29_final
2020-05-29 12:05:45	ga_s2bm_ard_3-2-1_49JGJ_2020-05-29_final
2020-05-29 12:05:53	ga_s2bm_ard_3-2-1_50JLN_2020-05-29_final
2020-05-30 09:51:13	ga_s2bm_ard_3-2-1_55LHC_2020-05-30_final.stac-item
2020-05-30 09:51:17	ga_s2bm_ard_3-2-1_55LGC_2020-05-30_final
2020-05-30 09:51:20	ga_s2bm_ard_3-2-1_55LFC_2020-05-30_final
2020-05-30 09:51:35	ga_s2bm_ard_3-2-1_55KFB_2020-05-30_final
2020-05-30 09:51:49	ga_s2bm_ard_3-2-1_55KFA_2020-05-30_final
2020-05-30 09:52:07	ga_s2bm_ard_3-2-1_55KEV_2020-05-30_final
2020-05-30 09:52:18	ga_s2bm_ard_3-2-1_55KFU_2020-05-30_final
2020-05-30 09:52:21	ga_s2bm_ard_3-2-1_55KEU_2020-05-30_final
2020-05-30 09:52:36	ga_s2bm_ard_3-2-1_55KHS_2020-05-30_final
2020-05-30 09:53:20	ga_s2bm_ard_3-2-1_55KEQ_2020-05-30_final
2020-05-30 09:53:23	ga_s2bm_ard_3-2-1_55KDQ_2020-05-30_final
2020-05-30 09:54:29	ga_s2bm_ard_3-2-1_55JFK_2020-05-30_final
2020-05-30 09:54:52	ga_s2bm_ard_3-2-1_55JFH_2020-05-30_final
2020-05-30 09:55:01	ga_s2bm_ard_3-2-1_55JEH_2020-05-30_final
2020-05-30 09:55:06	ga_s2bm_ard_3-2-1_55JCH_2020-05-30_final
2020-05-30 09:55:10	ga_s2bm_ard_3-2-1_55JEH_2020-05-30_final
2020-05-30 09:55:13	ga_s2bm_ard_3-2-1_55JCH_2020-05-30_final
2020-05-30 09:55:30	ga_s2bm_ard_3-2-1_55JEF_2020-05-30_final
2020-05-30 09:55:34	ga_s2bm_ard_3-2-1_55JDF_2020-05-30_final
2020-05-30 09:55:40	ga_s2bm_ard_3-2-1_55JBF_2020-05-30_final
2020-05-30 09:55:52	ga_s2bm_ard_3-2-1_55HCE_2020-05-30_final
2020-05-30 09:55:55	ga_s2bm_ard_3-2-1_55HBE_2020-05-30_final
2020-05-30 09:55:58	ga_s2bm_ard_3-2-1_54HYK_2020-05-30_final
2020-05-30 09:56:06	ga_s2bm_ard_3-2-1_55HCD_2020-05-30_final
2020-05-30 09:56:21	ga_s2bm_ard_3-2-1_55HCC_2020-05-30_final
2020-05-30 09:56:32	ga_s2bm_ard_3-2-1_55HDB_2020-05-30_final
2020-05-30 09:56:39	ga_s2bm_ard_3-2-1_55HBB_2020-05-30_final
2020-05-30 09:56:40	ga_s2bm_ard_3-2-1_54HYG_2020-05-30_final
2020-05-30 09:56:59	ga_s2bm_ard_3-2-1_55HDV_2020-05-30_final
2020-05-30 09:57:04	ga_s2bm_ard_3-2-1_55HCV_2020-05-30_final
2020-05-30 09:57:08	ga_s2bm_ard_3-2-1_55HBV_2020-05-30_final
2020-05-30 09:57:09	ga_s2bm_ard_3-2-1_54HYE_2020-05-30_final
2020-05-30 09:57:13	ga_s2bm_ard_3-2-1_54HXE_2020-05-30_final
2020-05-30 09:57:34	ga_s2bm_ard_3-2-1_55HCT_2020-05-30_final
2020-05-30 09:57:37	ga_s2bm_ard_3-2-1_55HBT_2020-05-30_final
2020-05-30 09:57:38	ga_s2bm_ard_3-2-1_54HYC_2020-05-30_final
2020-05-30 09:57:42	ga_s2bm_ard_3-2-1_54HXC_2020-05-30_final
2020-05-30 09:57:47	ga_s2bm_ard_3-2-1_54HWC_2020-05-30_final
2020-05-30 09:57:48	ga_s2bm_ard_3-2-1_55HCS_2020-05-30_final
2020-05-30 09:57:52	ga_s2bm_ard_3-2-1_55HBS_2020-05-30_final
2020-05-30 09:57:52	ga_s2bm_ard_3-2-1_54HYB_2020-05-30_final
2020-05-30 09:58:02	ga_s2bm_ard_3-2-1_55GCR_2020-05-30_final
2020-05-30 09:58:06	ga_s2bm_ard_3-2-1_55GBR_2020-05-30_final
2020-05-30 09:58:07	ga_s2bm_ard_3-2-1_54GYA_2020-05-30_final
2020-05-30 09:58:15	ga_s2bm_ard_3-2-1_55GCQ_2020-05-30_final
2020-05-30 09:58:21	ga_s2bm_ard_3-2-1_55GBQ_2020-05-30_final.stac-item
2020-05-30 09:58:21	ga_s2bm_ard_3-2-1_54GYV_2020-05-30_final.stac-item
2020-05-30 09:58:25	ga_s2bm_ard_3-2-1_55GCP_2020-05-30_final
2020-05-30 11:31:50	ga_s2bm_ard_3-2-1_51LZC_2020-05-30_final
2020-05-30 11:31:54	ga_s2bm_ard_3-2-1_51LYC_2020-05-30_final
2020-05-30 11:31:58	ga_s2bm_ard_3-2-1_51LXC_2020-05-30_final
2020-05-30 11:32:01	ga_s2bm_ard_3-2-1_51LWC_2020-05-30_final
2020-05-30 11:32:13	ga_s2bm_ard_3-2-1_51KXB_2020-05-30_final
2020-05-30 11:32:16	ga_s2bm_ard_3-2-1_51KWB_2020-05-30_final
2020-05-30 11:32:21	ga_s2bm_ard_3-2-1_51KVB_2020-05-30_final
2020-05-30 11:32:27	ga_s2bm_ard_3-2-1_51KXA_2020-05-30_final
2020-05-30 11:32:30	ga_s2bm_ard_3-2-1_51KWA_2020-05-30_final
2020-05-30 11:32:34	ga_s2bm_ard_3-2-1_51KVA_2020-05-30_final
2020-05-30 11:32:41	ga_s2bm_ard_3-2-1_51KXV_2020-05-30_final
2020-05-30 11:32:42	ga_s2bm_ard_3-2-1_51KWV_2020-05-30_final
2020-05-30 11:32:44	ga_s2bm_ard_3-2-1_51KVV_2020-05-30_final
2020-05-30 11:32:47	ga_s2bm_ard_3-2-1_51KXV_2020-05-30_final
2020-05-30 11:32:48	ga_s2bm_ard_3-2-1_51KXU_2020-05-30_final
2020-05-30 11:32:49	ga_s2bm_ard_3-2-1_51KWV_2020-05-30_final
2020-05-30 11:32:51	ga_s2bm_ard_3-2-1_51KVV_2020-05-30_final
2020-05-30 11:32:56	ga_s2bm_ard_3-2-1_51KXU_2020-05-30_final
2020-05-30 11:32:59	ga_s2bm_ard_3-2-1_51KWU_2020-05-30_final
2020-05-30 11:33:03	ga_s2bm_ard_3-2-1_51KVU_2020-05-30_final
2020-05-30 11:33:25	ga_s2bm_ard_3-2-1_51KXS_2020-05-30_final
2020-05-30 11:33:29	ga_s2bm_ard_3-2-1_51KWS_2020-05-30_final
2020-05-30 11:33:32	ga_s2bm_ard_3-2-1_51KVS_2020-05-30_final
2020-05-30 11:33:35	ga_s2bm_ard_3-2-1_51KUS_2020-05-30_final
2020-05-30 11:35:17	ga_s2bm_ard_3-2-1_51JUK_2020-05-30_final
2020-05-30 11:35:20	ga_s2bm_ard_3-2-1_51JTK_2020-05-30_final
2020-05-30 11:35:35	ga_s2bm_ard_3-2-1_51JTJ_2020-05-30_final
2020-05-30 11:35:38	ga_s2bm_ard_3-2-1_50JQP_2020-05-30_final
2020-05-30 11:35:42	ga_s2bm_ard_3-2-1_51JVH_2020-05-30_final
2020-05-30 11:35:46	ga_s2bm_ard_3-2-1_51JUH_2020-05-30_final
2020-05-30 11:36:04	ga_s2bm_ard_3-2-1_51JTG_2020-05-30_final
2020-05-30 11:36:12	ga_s2bm_ard_3-2-1_51JVF_2020-05-30_final
2020-05-30 11:36:19	ga_s2bm_ard_3-2-1_51JTF_2020-05-30_final
2020-05-30 11:36:21	ga_s2bm_ard_3-2-1_50JQL_2020-05-30_final
2020-05-30 11:36:30	ga_s2bm_ard_3-2-1_51HUE_2020-05-30_final
2020-05-30 11:36:33	ga_s2bm_ard_3-2-1_51HTE_2020-05-30_final
2020-05-30 11:36:35	ga_s2bm_ard_3-2-1_51HVD_2020-05-30_final
2020-05-30 11:36:35	ga_s2bm_ard_3-2-1_50HQK_2020-05-30_final
2020-05-30 11:36:39	ga_s2bm_ard_3-2-1_50HPK_2020-05-30_final
2020-05-30 11:36:44	ga_s2bm_ard_3-2-1_51HUD_2020-05-30_final
2020-05-30 11:36:53	ga_s2bm_ard_3-2-1_50HPJ_2020-05-30_final
2020-05-30 11:36:59	ga_s2bm_ard_3-2-1_51HUC_2020-05-30_final
2020-05-30 11:37:08	ga_s2bm_ard_3-2-1_50HPH_2020-05-30_final
2020-05-30 11:37:17	ga_s2bm_ard_3-2-1_51HTB_2020-05-30_final.stac-item
2020-05-30 11:37:19	ga_s2bm_ard_3-2-1_50HQG_2020-05-30_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