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
2019-10-02 12:04:59	ga_s2bm_ard_3-2-1_50JMR_2019-10-02_final
2019-10-02 12:05:09	ga_s2bm_ard_3-2-1_50JLR_2019-10-02_final
2019-10-02 12:05:12	ga_s2bm_ard_3-2-1_50JKR_2019-10-02_final
2019-10-02 12:05:15	ga_s2bm_ard_3-2-1_49JGL_2019-10-02_final
2019-10-02 12:05:23	ga_s2bm_ard_3-2-1_50JLQ_2019-10-02_final
2019-10-02 12:05:27	ga_s2bm_ard_3-2-1_50JKQ_2019-10-02_final
2019-10-02 12:05:30	ga_s2bm_ard_3-2-1_49JGK_2019-10-02_final
2019-10-02 12:05:38	ga_s2bm_ard_3-2-1_50JLP_2019-10-02_final
2019-10-02 12:05:52	ga_s2bm_ard_3-2-1_50JLN_2019-10-02_final
2019-10-02 12:05:56	ga_s2bm_ard_3-2-1_50JKN_2019-10-02_final
2019-10-02 12:05:59	ga_s2bm_ard_3-2-1_49JGH_2019-10-02_final.stac-item
2019-10-02 12:06:05	ga_s2bm_ard_3-2-1_50JLM_2019-10-02_final
2019-10-02 12:06:10	ga_s2bm_ard_3-2-1_50JKM_2019-10-02_final
2019-10-02 12:06:15	ga_s2bm_ard_3-2-1_50JLL_2019-10-02_final
2019-10-03 09:51:13	ga_s2bm_ard_3-2-1_55LHC_2019-10-03_final.stac-item
2019-10-03 09:51:31	ga_s2bm_ard_3-2-1_55KGB_2019-10-03_final
2019-10-03 09:52:14	ga_s2bm_ard_3-2-1_55KGU_2019-10-03_final
2019-10-03 09:52:21	ga_s2bm_ard_3-2-1_55KEU_2019-10-03_final
2019-10-03 09:52:28	ga_s2bm_ard_3-2-1_55KGT_2019-10-03_final
2019-10-03 09:53:59	ga_s2bm_ard_3-2-1_55JFM_2019-10-03_final
2019-10-03 09:54:13	ga_s2bm_ard_3-2-1_55JFL_2019-10-03_final
2019-10-03 09:54:17	ga_s2bm_ard_3-2-1_55JEL_2019-10-03_final
2019-10-03 09:54:20	ga_s2bm_ard_3-2-1_55JDL_2019-10-03_final
2019-10-03 09:54:23	ga_s2bm_ard_3-2-1_55JCL_2019-10-03_final
2019-10-03 09:54:28	ga_s2bm_ard_3-2-1_55JFK_2019-10-03_final
2019-10-03 09:54:32	ga_s2bm_ard_3-2-1_55JEK_2019-10-03_final
2019-10-03 09:54:35	ga_s2bm_ard_3-2-1_55JDK_2019-10-03_final
2019-10-03 09:54:38	ga_s2bm_ard_3-2-1_55JCK_2019-10-03_final
2019-10-03 09:54:41	ga_s2bm_ard_3-2-1_55JFJ_2019-10-03_final
2019-10-03 09:54:50	ga_s2bm_ard_3-2-1_55JFJ_2019-10-03_final
2019-10-03 09:54:51	ga_s2bm_ard_3-2-1_55JFH_2019-10-03_final
2019-10-03 09:54:51	ga_s2bm_ard_3-2-1_55JFH_2019-10-03_final
2019-10-03 09:54:52	ga_s2bm_ard_3-2-1_55JEH_2019-10-03_final
2019-10-03 09:55:00	ga_s2bm_ard_3-2-1_55JEH_2019-10-03_final
2019-10-03 09:55:04	ga_s2bm_ard_3-2-1_55JDH_2019-10-03_final
2019-10-03 09:55:12	ga_s2bm_ard_3-2-1_55JBH_2019-10-03_final
2019-10-03 09:55:22	ga_s2bm_ard_3-2-1_55JCG_2019-10-03_final
2019-10-03 09:55:25	ga_s2bm_ard_3-2-1_55JBG_2019-10-03_final
2019-10-03 09:55:36	ga_s2bm_ard_3-2-1_55JCF_2019-10-03_final
2019-10-03 09:55:39	ga_s2bm_ard_3-2-1_55JBF_2019-10-03_final
2019-10-03 09:55:43	ga_s2bm_ard_3-2-1_55HEE_2019-10-03_final
2019-10-03 09:55:48	ga_s2bm_ard_3-2-1_55HDE_2019-10-03_final
2019-10-03 09:55:51	ga_s2bm_ard_3-2-1_55HCE_2019-10-03_final
2019-10-03 09:55:54	ga_s2bm_ard_3-2-1_55HBE_2019-10-03_final
2019-10-03 09:55:57	ga_s2bm_ard_3-2-1_54HYK_2019-10-03_final
2019-10-03 09:56:16	ga_s2bm_ard_3-2-1_55HDC_2019-10-03_final
2019-10-03 09:56:20	ga_s2bm_ard_3-2-1_55HCC_2019-10-03_final
2019-10-03 09:56:23	ga_s2bm_ard_3-2-1_55HBC_2019-10-03_final
2019-10-03 09:56:25	ga_s2bm_ard_3-2-1_54HYH_2019-10-03_final
2019-10-03 09:56:35	ga_s2bm_ard_3-2-1_55HCB_2019-10-03_final
2019-10-03 09:56:46	ga_s2bm_ard_3-2-1_54HXG_2019-10-03_final
2019-10-03 09:56:53	ga_s2bm_ard_3-2-1_55HBA_2019-10-03_final
2019-10-03 09:56:54	ga_s2bm_ard_3-2-1_54HYF_2019-10-03_final
2019-10-03 09:56:58	ga_s2bm_ard_3-2-1_54HXF_2019-10-03_final
2019-10-03 09:57:12	ga_s2bm_ard_3-2-1_54HXE_2019-10-03_final
2019-10-03 11:31:30	ga_s2bm_ard_3-2-1_52LBJ_2019-10-03_final
2019-10-03 11:31:36	ga_s2bm_ard_3-2-1_51LZD_2019-10-03_final
2019-10-03 11:31:39	ga_s2bm_ard_3-2-1_51LYD_2019-10-03_final
2019-10-03 11:31:49	ga_s2bm_ard_3-2-1_51LZC_2019-10-03_final
2019-10-03 11:31:54	ga_s2bm_ard_3-2-1_51LYC_2019-10-03_final
2019-10-03 11:32:15	ga_s2bm_ard_3-2-1_51KWB_2019-10-03_final
2019-10-03 11:32:20	ga_s2bm_ard_3-2-1_51KVB_2019-10-03_final
2019-10-03 11:32:59	ga_s2bm_ard_3-2-1_51KVU_2019-10-03_final
2019-10-03 11:33:01	ga_s2bm_ard_3-2-1_51KYT_2019-10-03_final
2019-10-03 11:33:03	ga_s2bm_ard_3-2-1_51KXU_2019-10-03_final
2019-10-03 11:33:04	ga_s2bm_ard_3-2-1_51KYT_2019-10-03_final
2019-10-03 11:33:06	ga_s2bm_ard_3-2-1_51KVU_2019-10-03_final
2019-10-03 11:33:28	ga_s2bm_ard_3-2-1_51KWS_2019-10-03_final
2019-10-03 11:33:31	ga_s2bm_ard_3-2-1_51KVS_2019-10-03_final
2019-10-03 11:34:37	ga_s2bm_ard_3-2-1_51JTN_2019-10-03_final
2019-10-03 11:34:37	ga_s2bm_ard_3-2-1_50JRT_2019-10-03_final
2019-10-03 11:34:55	ga_s2bm_ard_3-2-1_51JWL_2019-10-03_final
2019-10-03 11:34:58	ga_s2bm_ard_3-2-1_51JVL_2019-10-03_final
2019-10-03 11:35:02	ga_s2bm_ard_3-2-1_51JUL_2019-10-03_final
2019-10-03 11:35:05	ga_s2bm_ard_3-2-1_51JTL_2019-10-03_final
2019-10-03 11:35:09	ga_s2bm_ard_3-2-1_51JWK_2019-10-03_final
2019-10-03 11:35:13	ga_s2bm_ard_3-2-1_51JVK_2019-10-03_final
2019-10-03 11:35:16	ga_s2bm_ard_3-2-1_51JUK_2019-10-03_final
2019-10-03 11:35:19	ga_s2bm_ard_3-2-1_51JTK_2019-10-03_final
2019-10-03 11:35:31	ga_s2bm_ard_3-2-1_51JUJ_2019-10-03_final
2019-10-03 11:35:42	ga_s2bm_ard_3-2-1_51JVH_2019-10-03_final
2019-10-03 11:35:45	ga_s2bm_ard_3-2-1_51JUH_2019-10-03_final
2019-10-03 11:35:48	ga_s2bm_ard_3-2-1_51JTH_2019-10-03_final
2019-10-03 11:35:51	ga_s2bm_ard_3-2-1_50JQN_2019-10-03_final
2019-10-03 11:35:57	ga_s2bm_ard_3-2-1_51JVG_2019-10-03_final
2019-10-03 11:36:00	ga_s2bm_ard_3-2-1_51JUG_2019-10-03_final
2019-10-03 11:36:03	ga_s2bm_ard_3-2-1_51JTG_2019-10-03_final
2019-10-03 11:36:06	ga_s2bm_ard_3-2-1_50JQM_2019-10-03_final
2019-10-03 11:36:15	ga_s2bm_ard_3-2-1_51JUF_2019-10-03_final
2019-10-03 11:36:18	ga_s2bm_ard_3-2-1_51JTF_2019-10-03_final
2019-10-03 11:36:20	ga_s2bm_ard_3-2-1_50JQL_2019-10-03_final
2019-10-03 11:36:24	ga_s2bm_ard_3-2-1_51HVE_2019-10-03_final
2019-10-03 11:36:27	ga_s2bm_ard_3-2-1_50JPL_2019-10-03_final
2019-10-03 11:36:29	ga_s2bm_ard_3-2-1_51HUE_2019-10-03_final
2019-10-03 11:36:32	ga_s2bm_ard_3-2-1_51HTE_2019-10-03_final
2019-10-03 11:36:34	ga_s2bm_ard_3-2-1_50HQK_2019-10-03_final
2019-10-03 11:36:38	ga_s2bm_ard_3-2-1_50HPK_2019-10-03_final
2019-10-03 11:36:43	ga_s2bm_ard_3-2-1_51HUD_2019-10-03_final
2019-10-03 11:36:58	ga_s2bm_ard_3-2-1_51HUC_2019-10-03_final
2019-10-03 11:37:07	ga_s2bm_ard_3-2-1_50HPH_2019-10-03_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