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
2021-02-03 12:05:08	ga_s2bm_ard_3-2-1_50JLR_2021-02-03_final
2021-02-03 12:05:11	ga_s2bm_ard_3-2-1_50JKR_2021-02-03_final
2021-02-03 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2021-02-03_final
2021-02-03 12:05:22	ga_s2bm_ard_3-2-1_50JLQ_2021-02-03_final
2021-02-03 12:05:37	ga_s2bm_ard_3-2-1_50JLP_2021-02-03_final
2021-02-03 12:05:55	ga_s2bm_ard_3-2-1_50JKN_2021-02-03_final
2021-02-03 12:05:58	ga_s2bm_ard_3-2-1_49JGH_2021-02-03_final.stac-item
2021-02-03 12:06:09	ga_s2bm_ard_3-2-1_50JKM_2021-02-03_final
2021-02-04 09:51:11	ga_s2bm_ard_3-2-1_55LHC_2021-02-04_final.stac-item
2021-02-04 09:51:15	ga_s2bm_ard_3-2-1_55LGC_2021-02-04_final
2021-02-04 09:52:05	ga_s2bm_ard_3-2-1_55KEV_2021-02-04_final
2021-02-04 09:52:13	ga_s2bm_ard_3-2-1_55KGU_2021-02-04_final
2021-02-04 09:52:19	ga_s2bm_ard_3-2-1_55KEU_2021-02-04_final
2021-02-04 09:52:27	ga_s2bm_ard_3-2-1_55KGT_2021-02-04_final
2021-02-04 09:53:14	ga_s2bm_ard_3-2-1_55KFQ_2021-02-04_final
2021-02-04 09:54:12	ga_s2bm_ard_3-2-1_55JFL_2021-02-04_final
2021-02-04 09:54:16	ga_s2bm_ard_3-2-1_55JEL_2021-02-04_final
2021-02-04 09:54:19	ga_s2bm_ard_3-2-1_55JDL_2021-02-04_final
2021-02-04 09:54:22	ga_s2bm_ard_3-2-1_55JCL_2021-02-04_final
2021-02-04 09:54:27	ga_s2bm_ard_3-2-1_55JFK_2021-02-04_final
2021-02-04 09:54:30	ga_s2bm_ard_3-2-1_55JEK_2021-02-04_final
2021-02-04 09:54:34	ga_s2bm_ard_3-2-1_55JDK_2021-02-04_final
2021-02-04 09:54:37	ga_s2bm_ard_3-2-1_55JCK_2021-02-04_final
2021-02-04 09:54:40	ga_s2bm_ard_3-2-1_55JFJ_2021-02-04_final
2021-02-04 09:54:45	ga_s2bm_ard_3-2-1_55JEJ_2021-02-04_final
2021-02-04 09:54:48	ga_s2bm_ard_3-2-1_55JDJ_2021-02-04_final
2021-02-04 09:54:52	ga_s2bm_ard_3-2-1_55JCJ_2021-02-04_final
2021-02-04 09:55:10	ga_s2bm_ard_3-2-1_55JBH_2021-02-04_final
2021-02-04 09:55:14	ga_s2bm_ard_3-2-1_55JEG_2021-02-04_final
2021-02-04 09:55:17	ga_s2bm_ard_3-2-1_55JDG_2021-02-04_final
2021-02-04 09:55:24	ga_s2bm_ard_3-2-1_55JBG_2021-02-04_final
2021-02-04 09:55:50	ga_s2bm_ard_3-2-1_55HCE_2021-02-04_final
2021-02-04 09:55:53	ga_s2bm_ard_3-2-1_55HED_2021-02-04_final
2021-02-04 09:56:08	ga_s2bm_ard_3-2-1_55HBD_2021-02-04_final
2021-02-04 09:56:09	ga_s2bm_ard_3-2-1_54HYJ_2021-02-04_final
2021-02-04 09:56:22	ga_s2bm_ard_3-2-1_55HBC_2021-02-04_final
2021-02-04 09:56:24	ga_s2bm_ard_3-2-1_54HYH_2021-02-04_final
2021-02-04 09:56:37	ga_s2bm_ard_3-2-1_55HBB_2021-02-04_final
2021-02-04 09:56:38	ga_s2bm_ard_3-2-1_54HYG_2021-02-04_final
2021-02-04 09:56:44	ga_s2bm_ard_3-2-1_55HDA_2021-02-04_final
2021-02-04 09:56:48	ga_s2bm_ard_3-2-1_55HCA_2021-02-04_final
2021-02-04 09:56:51	ga_s2bm_ard_3-2-1_55HBA_2021-02-04_final
2021-02-04 09:56:53	ga_s2bm_ard_3-2-1_54HYF_2021-02-04_final
2021-02-04 09:56:57	ga_s2bm_ard_3-2-1_54HXF_2021-02-04_final
2021-02-04 09:56:57	ga_s2bm_ard_3-2-1_55HDV_2021-02-04_final
2021-02-04 09:57:02	ga_s2bm_ard_3-2-1_55HCV_2021-02-04_final
2021-02-04 09:57:08	ga_s2bm_ard_3-2-1_55HDU_2021-02-04_final
2021-02-04 09:57:11	ga_s2bm_ard_3-2-1_54HXE_2021-02-04_final
2021-02-04 09:57:21	ga_s2bm_ard_3-2-1_55HBU_2021-02-04_final
2021-02-04 09:57:21	ga_s2bm_ard_3-2-1_54HYD_2021-02-04_final
2021-02-04 09:57:26	ga_s2bm_ard_3-2-1_54HXD_2021-02-04_final
2021-02-04 09:57:36	ga_s2bm_ard_3-2-1_54HYC_2021-02-04_final
2021-02-04 09:57:40	ga_s2bm_ard_3-2-1_54HXC_2021-02-04_final
2021-02-04 09:57:45	ga_s2bm_ard_3-2-1_54HWC_2021-02-04_final
2021-02-04 09:57:46	ga_s2bm_ard_3-2-1_55HCS_2021-02-04_final
2021-02-04 09:57:50	ga_s2bm_ard_3-2-1_55HBS_2021-02-04_final
2021-02-04 09:57:50	ga_s2bm_ard_3-2-1_54HYB_2021-02-04_final
2021-02-04 09:58:13	ga_s2bm_ard_3-2-1_55GCQ_2021-02-04_final
2021-02-04 09:58:23	ga_s2bm_ard_3-2-1_55GCP_2021-02-04_final
2021-02-04 11:31:42	ga_s2bm_ard_3-2-1_51LXD_2021-02-04_final
2021-02-04 11:31:48	ga_s2bm_ard_3-2-1_51LZC_2021-02-04_final
2021-02-04 11:31:52	ga_s2bm_ard_3-2-1_51LYC_2021-02-04_final
2021-02-04 11:31:56	ga_s2bm_ard_3-2-1_51LXC_2021-02-04_final
2021-02-04 11:31:59	ga_s2bm_ard_3-2-1_51LWC_2021-02-04_final
2021-02-04 11:32:11	ga_s2bm_ard_3-2-1_51KXB_2021-02-04_final
2021-02-04 11:32:28	ga_s2bm_ard_3-2-1_51KWA_2021-02-04_final
2021-02-04 11:32:32	ga_s2bm_ard_3-2-1_51KVA_2021-02-04_final
2021-02-04 11:32:40	ga_s2bm_ard_3-2-1_51KXV_2021-02-04_final
2021-02-04 11:32:43	ga_s2bm_ard_3-2-1_51KWV_2021-02-04_final
2021-02-04 11:32:46	ga_s2bm_ard_3-2-1_51KVV_2021-02-04_final
2021-02-04 11:32:50	ga_s2bm_ard_3-2-1_51KYU_2021-02-04_final
2021-02-04 11:33:08	ga_s2bm_ard_3-2-1_51KXT_2021-02-04_final
2021-02-04 11:33:23	ga_s2bm_ard_3-2-1_51KXS_2021-02-04_final
2021-02-04 11:33:30	ga_s2bm_ard_3-2-1_51KVS_2021-02-04_final
2021-02-04 11:33:33	ga_s2bm_ard_3-2-1_51KUS_2021-02-04_final
2021-02-04 11:34:02	ga_s2bm_ard_3-2-1_51KUQ_2021-02-04_final
2021-02-04 11:34:15	ga_s2bm_ard_3-2-1_51JXN_2021-02-04_final
2021-02-04 11:34:48	ga_s2bm_ard_3-2-1_50JRS_2021-02-04_final
2021-02-04 11:34:54	ga_s2bm_ard_3-2-1_51JWL_2021-02-04_final
2021-02-04 11:34:57	ga_s2bm_ard_3-2-1_51JVL_2021-02-04_final
2021-02-04 11:35:00	ga_s2bm_ard_3-2-1_51JUL_2021-02-04_final
2021-02-04 11:35:03	ga_s2bm_ard_3-2-1_51JTL_2021-02-04_final
2021-02-04 11:35:07	ga_s2bm_ard_3-2-1_51JWK_2021-02-04_final
2021-02-04 11:35:12	ga_s2bm_ard_3-2-1_51JVK_2021-02-04_final
2021-02-04 11:35:15	ga_s2bm_ard_3-2-1_51JUK_2021-02-04_final
2021-02-04 11:35:18	ga_s2bm_ard_3-2-1_51JWJ_2021-02-04_final
2021-02-04 11:35:26	ga_s2bm_ard_3-2-1_51JVJ_2021-02-04_final
2021-02-04 11:35:30	ga_s2bm_ard_3-2-1_51JUJ_2021-02-04_final
2021-02-04 11:35:47	ga_s2bm_ard_3-2-1_51JTH_2021-02-04_final
2021-02-04 11:35:50	ga_s2bm_ard_3-2-1_50JQN_2021-02-04_final
2021-02-04 11:35:55	ga_s2bm_ard_3-2-1_51JVG_2021-02-04_final
2021-02-04 11:36:02	ga_s2bm_ard_3-2-1_51JTG_2021-02-04_final
2021-02-04 11:36:04	ga_s2bm_ard_3-2-1_50JQM_2021-02-04_final
2021-02-04 11:36:28	ga_s2bm_ard_3-2-1_51HUE_2021-02-04_final
2021-02-04 11:36:37	ga_s2bm_ard_3-2-1_50HPK_2021-02-04_final
2021-02-04 11:36:46	ga_s2bm_ard_3-2-1_51HTD_2021-02-04_final
2021-02-04 11:36:48	ga_s2bm_ard_3-2-1_50HQJ_2021-02-04_final
2021-02-04 11:37:00	ga_s2bm_ard_3-2-1_51HTC_2021-02-04_final
2021-02-04 11:37:02	ga_s2bm_ard_3-2-1_50HQH_2021-02-04_final
2021-02-04 11:37:15	ga_s2bm_ard_3-2-1_51HTB_2021-02-04_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