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
2019-08-10 10:11:12	ga_s2bm_ard_3-2-1_55LCD_2019-08-10_final
2019-08-10 10:11:44	ga_s2bm_ard_3-2-1_55KBB_2019-08-10_final
2019-08-10 10:11:49	ga_s2bm_ard_3-2-1_54KYG_2019-08-10_final
2019-08-10 10:11:55	ga_s2bm_ard_3-2-1_55KBA_2019-08-10_final
2019-08-10 10:11:55	ga_s2bm_ard_3-2-1_54KZF_2019-08-10_final
2019-08-10 10:11:57	ga_s2bm_ard_3-2-1_54KYF_2019-08-10_final
2019-08-10 10:12:02	ga_s2bm_ard_3-2-1_55KBA_2019-08-10_final
2019-08-10 10:12:02	ga_s2bm_ard_3-2-1_54KZF_2019-08-10_final
2019-08-10 10:12:04	ga_s2bm_ard_3-2-1_54KYF_2019-08-10_final
2019-08-10 10:12:13	ga_s2bm_ard_3-2-1_55KBV_2019-08-10_final
2019-08-10 10:12:14	ga_s2bm_ard_3-2-1_54KZE_2019-08-10_final
2019-08-10 10:12:18	ga_s2bm_ard_3-2-1_54KYE_2019-08-10_final
2019-08-10 10:12:28	ga_s2bm_ard_3-2-1_55KBU_2019-08-10_final
2019-08-10 10:12:32	ga_s2bm_ard_3-2-1_54KYD_2019-08-10_final
2019-08-10 10:12:43	ga_s2bm_ard_3-2-1_54KZC_2019-08-10_final
2019-08-10 10:12:57	ga_s2bm_ard_3-2-1_55KBS_2019-08-10_final
2019-08-10 10:13:01	ga_s2bm_ard_3-2-1_54KYB_2019-08-10_final
2019-08-10 10:13:05	ga_s2bm_ard_3-2-1_54KXB_2019-08-10_final
2019-08-10 10:13:11	ga_s2bm_ard_3-2-1_54KWB_2019-08-10_final
2019-08-10 10:13:12	ga_s2bm_ard_3-2-1_54KZA_2019-08-10_final
2019-08-10 10:13:16	ga_s2bm_ard_3-2-1_54KYA_2019-08-10_final
2019-08-10 10:13:19	ga_s2bm_ard_3-2-1_54KXA_2019-08-10_final
2019-08-10 10:13:23	ga_s2bm_ard_3-2-1_54KWA_2019-08-10_final
2019-08-10 10:13:34	ga_s2bm_ard_3-2-1_54KXV_2019-08-10_final
2019-08-10 10:13:40	ga_s2bm_ard_3-2-1_55KBP_2019-08-10_final
2019-08-10 10:13:40	ga_s2bm_ard_3-2-1_54KZU_2019-08-10_final
2019-08-10 10:13:51	ga_s2bm_ard_3-2-1_55JBN_2019-08-10_final
2019-08-10 10:13:52	ga_s2bm_ard_3-2-1_54JZT_2019-08-10_final
2019-08-10 10:13:59	ga_s2bm_ard_3-2-1_54JYT_2019-08-10_final
2019-08-10 10:14:03	ga_s2bm_ard_3-2-1_54JXT_2019-08-10_final
2019-08-10 10:14:13	ga_s2bm_ard_3-2-1_54JVT_2019-08-10_final
2019-08-10 10:14:17	ga_s2bm_ard_3-2-1_54JXS_2019-08-10_final
2019-08-10 10:14:20	ga_s2bm_ard_3-2-1_54JWS_2019-08-10_final
2019-08-10 10:14:24	ga_s2bm_ard_3-2-1_54JVS_2019-08-10_final
2019-08-10 10:15:48	ga_s2bm_ard_3-2-1_54JWL_2019-08-10_final
2019-08-10 10:16:46	ga_s2bm_ard_3-2-1_54HWG_2019-08-10_final
2019-08-10 10:16:56	ga_s2bm_ard_3-2-1_54HTG_2019-08-10_final
2019-08-10 10:16:59	ga_s2bm_ard_3-2-1_53HQB_2019-08-10_final
2019-08-10 10:16:59	ga_s2bm_ard_3-2-1_54HWF_2019-08-10_final
2019-08-10 10:17:04	ga_s2bm_ard_3-2-1_54HVF_2019-08-10_final
2019-08-10 10:17:10	ga_s2bm_ard_3-2-1_54HWE_2019-08-10_final
2019-08-10 10:17:18	ga_s2bm_ard_3-2-1_54HVE_2019-08-10_final
2019-08-10 10:17:22	ga_s2bm_ard_3-2-1_54HUE_2019-08-10_final.stac-item
2019-08-10 11:51:20	ga_s2bm_ard_3-2-1_51LUF_2019-08-10_final
2019-08-10 11:51:45	ga_s2bm_ard_3-2-1_51LUD_2019-08-10_final.stac-item
2019-08-10 11:51:50	ga_s2bm_ard_3-2-1_51LUD_2019-08-10_final.stac-item
2019-08-10 11:52:41	ga_s2bm_ard_3-2-1_50KQF_2019-08-10_final.stac-item
2019-08-10 11:52:56	ga_s2bm_ard_3-2-1_50KQE_2019-08-10_final.stac-item
2019-08-10 11:53:01	ga_s2bm_ard_3-2-1_51KTU_2019-08-10_final
2019-08-10 11:53:10	ga_s2bm_ard_3-2-1_50KQD_2019-08-10_final.stac-item
2019-08-10 11:53:18	ga_s2bm_ard_3-2-1_50KRC_2019-08-10_final
2019-08-10 11:53:39	ga_s2bm_ard_3-2-1_50KQB_2019-08-10_final
2019-08-10 11:53:43	ga_s2bm_ard_3-2-1_50KPB_2019-08-10_final
2019-08-10 11:53:57	ga_s2bm_ard_3-2-1_50KPA_2019-08-10_final
2019-08-10 11:54:00	ga_s2bm_ard_3-2-1_50KNA_2019-08-10_final
2019-08-10 11:54:03	ga_s2bm_ard_3-2-1_50KMA_2019-08-10_final
2019-08-10 11:54:11	ga_s2bm_ard_3-2-1_50KPV_2019-08-10_final
2019-08-10 11:54:26	ga_s2bm_ard_3-2-1_50KPU_2019-08-10_final
2019-08-10 11:54:30	ga_s2bm_ard_3-2-1_50JQT_2019-08-10_final
2019-08-10 11:54:40	ga_s2bm_ard_3-2-1_50JPT_2019-08-10_final
2019-08-10 11:54:51	ga_s2bm_ard_3-2-1_50JLT_2019-08-10_final
2019-08-10 11:55:05	ga_s2bm_ard_3-2-1_50JLS_2019-08-10_final
2019-08-10 11:56:25	ga_s2bm_ard_3-2-1_50JNL_2019-08-10_final
2019-08-10 11:56:29	ga_s2bm_ard_3-2-1_50JML_2019-08-10_final
2019-08-10 11:57:13	ga_s2bm_ard_3-2-1_50HMH_2019-08-10_final
2019-08-10 11:57:27	ga_s2bm_ard_3-2-1_50HMG_2019-08-10_final.stac-item
2019-08-11 09:41:51	ga_s2bm_ard_3-2-1_56KKF_2019-08-11_final
2019-08-11 09:42:47	ga_s2bm_ard_3-2-1_56KLB_2019-08-11_final
2019-08-11 09:42:50	ga_s2bm_ard_3-2-1_56KKB_2019-08-11_final
2019-08-11 09:42:53	ga_s2bm_ard_3-2-1_55KGS_2019-08-11_final
2019-08-11 09:42:57	ga_s2bm_ard_3-2-1_56KMA_2019-08-11_final
2019-08-11 09:43:01	ga_s2bm_ard_3-2-1_56KLA_2019-08-11_final
2019-08-11 09:43:05	ga_s2bm_ard_3-2-1_55KHR_2019-08-11_final
2019-08-11 09:43:08	ga_s2bm_ard_3-2-1_55KGR_2019-08-11_final
2019-08-11 09:43:15	ga_s2bm_ard_3-2-1_56KLV_2019-08-11_final
2019-08-11 09:43:19	ga_s2bm_ard_3-2-1_56KKV_2019-08-11_final
2019-08-11 09:43:33	ga_s2bm_ard_3-2-1_56KKU_2019-08-11_final
2019-08-11 09:43:34	ga_s2bm_ard_3-2-1_55KHP_2019-08-11_final
2019-08-11 09:43:45	ga_s2bm_ard_3-2-1_56JLT_2019-08-11_final
2019-08-11 09:43:48	ga_s2bm_ard_3-2-1_55JHN_2019-08-11_final
2019-08-11 09:43:48	ga_s2bm_ard_3-2-1_56JKT_2019-08-11_final
2019-08-11 09:43:51	ga_s2bm_ard_3-2-1_55JGN_2019-08-11_final
2019-08-11 09:43:55	ga_s2bm_ard_3-2-1_55JFN_2019-08-11_final
2019-08-11 09:44:03	ga_s2bm_ard_3-2-1_56JKS_2019-08-11_final
2019-08-11 09:44:09	ga_s2bm_ard_3-2-1_55JFM_2019-08-11_final
2019-08-11 09:45:40	ga_s2bm_ard_3-2-1_55JEF_2019-08-11_final
2019-08-11 09:45:44	ga_s2bm_ard_3-2-1_55JDF_2019-08-11_final
2019-08-11 09:46:24	ga_s2bm_ard_3-2-1_55HGB_2019-08-11_final
2019-08-11 09:46:38	ga_s2bm_ard_3-2-1_55HEB_2019-08-11_final
2019-08-11 09:46:52	ga_s2bm_ard_3-2-1_55HEA_2019-08-11_final
2019-08-11 09:47:14	ga_s2bm_ard_3-2-1_55HCV_2019-08-11_final
2019-08-11 09:47:50	ga_s2bm_ard_3-2-1_55HES_2019-08-11_final
2019-08-11 09:47:54	ga_s2bm_ard_3-2-1_55HDS_2019-08-11_final
2019-08-11 09:47:58	ga_s2bm_ard_3-2-1_55HCS_2019-08-11_final
2019-08-11 09:48:01	ga_s2bm_ard_3-2-1_55HBS_2019-08-11_final
2019-08-11 09:48:29	ga_s2bm_ard_3-2-1_55GEP_2019-08-11_final
2019-08-11 09:48:37	ga_s2bm_ard_3-2-1_55GDP_2019-08-11_final
2019-08-11 09:48:41	ga_s2bm_ard_3-2-1_55GCP_2019-08-11_final
2019-08-11 09:48:52	ga_s2bm_ard_3-2-1_55GDN_2019-08-11_final
2019-08-11 09:49:05	ga_s2bm_ard_3-2-1_55GDM_2019-08-11_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