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
2022-01-06 10:13:26	ga_s2bm_ard_3-2-1_54KWV_2022-01-06_final
2022-01-06 10:13:29	ga_s2bm_ard_3-2-1_54KZU_2022-01-06_final
2022-01-06 10:13:34	ga_s2bm_ard_3-2-1_54KYU_2022-01-06_final
2022-01-06 10:13:37	ga_s2bm_ard_3-2-1_54KXU_2022-01-06_final
2022-01-06 10:13:52	ga_s2bm_ard_3-2-1_54JXT_2022-01-06_final
2022-01-06 10:14:02	ga_s2bm_ard_3-2-1_54JYS_2022-01-06_final
2022-01-06 10:15:37	ga_s2bm_ard_3-2-1_54JWL_2022-01-06_final
2022-01-06 10:15:40	ga_s2bm_ard_3-2-1_54JVL_2022-01-06_final
2022-01-06 10:15:55	ga_s2bm_ard_3-2-1_54HXJ_2022-01-06_final
2022-01-06 10:15:56	ga_s2bm_ard_3-2-1_54HXJ_2022-01-06_final
2022-01-06 10:16:17	ga_s2bm_ard_3-2-1_54HTJ_2022-01-06_final
2022-01-06 10:16:20	ga_s2bm_ard_3-2-1_54HWH_2022-01-06_final
2022-01-06 10:16:24	ga_s2bm_ard_3-2-1_54HVH_2022-01-06_final
2022-01-06 10:16:30	ga_s2bm_ard_3-2-1_54HTH_2022-01-06_final
2022-01-06 10:16:45	ga_s2bm_ard_3-2-1_54HTG_2022-01-06_final
2022-01-06 10:16:48	ga_s2bm_ard_3-2-1_53HQB_2022-01-06_final
2022-01-06 10:16:48	ga_s2bm_ard_3-2-1_54HWF_2022-01-06_final
2022-01-06 10:16:53	ga_s2bm_ard_3-2-1_54HVF_2022-01-06_final
2022-01-06 10:16:59	ga_s2bm_ard_3-2-1_54HWE_2022-01-06_final
2022-01-06 10:17:07	ga_s2bm_ard_3-2-1_54HVE_2022-01-06_final
2022-01-06 10:17:11	ga_s2bm_ard_3-2-1_54HUE_2022-01-06_final.stac-item
2022-01-06 10:17:14	ga_s2bm_ard_3-2-1_54HTE_2022-01-06_final.stac-item
2022-01-06 10:17:15	ga_s2bm_ard_3-2-1_53HQV_2022-01-06_final.stac-item
2022-01-06 11:51:09	ga_s2bm_ard_3-2-1_51LUF_2022-01-06_final
2022-01-06 11:51:23	ga_s2bm_ard_3-2-1_51LUE_2022-01-06_final
2022-01-06 11:52:16	ga_s2bm_ard_3-2-1_50KQG_2022-01-06_final.stac-item
2022-01-06 11:52:53	ga_s2bm_ard_3-2-1_50KRD_2022-01-06_final
2022-01-06 11:52:57	ga_s2bm_ard_3-2-1_50KPD_2022-01-06_final.stac-item
2022-01-06 11:52:59	ga_s2bm_ard_3-2-1_50KRD_2022-01-06_final
2022-01-06 11:53:03	ga_s2bm_ard_3-2-1_50KPD_2022-01-06_final.stac-item
2022-01-06 11:53:32	ga_s2bm_ard_3-2-1_50KPB_2022-01-06_final
2022-01-06 11:53:39	ga_s2bm_ard_3-2-1_50KMB_2022-01-06_final
2022-01-06 11:53:57	ga_s2bm_ard_3-2-1_50KQV_2022-01-06_final
2022-01-06 11:54:04	ga_s2bm_ard_3-2-1_50KNV_2022-01-06_final
2022-01-06 11:54:07	ga_s2bm_ard_3-2-1_50KMV_2022-01-06_final
2022-01-06 11:54:09	ga_s2bm_ard_3-2-1_50KQU_2022-01-06_final
2022-01-06 11:54:15	ga_s2bm_ard_3-2-1_50KPU_2022-01-06_final
2022-01-06 11:54:29	ga_s2bm_ard_3-2-1_50JPT_2022-01-06_final
2022-01-06 11:54:29	ga_s2bm_ard_3-2-1_50KLU_2022-01-06_final
2022-01-06 11:54:36	ga_s2bm_ard_3-2-1_50JMT_2022-01-06_final
2022-01-06 11:54:40	ga_s2bm_ard_3-2-1_50JLT_2022-01-06_final
2022-01-06 11:54:48	ga_s2bm_ard_3-2-1_50JNS_2022-01-06_final
2022-01-06 11:54:51	ga_s2bm_ard_3-2-1_50JMS_2022-01-06_final
2022-01-06 11:56:14	ga_s2bm_ard_3-2-1_50JNL_2022-01-06_final
2022-01-06 11:56:18	ga_s2bm_ard_3-2-1_50JML_2022-01-06_final
2022-01-06 11:57:02	ga_s2bm_ard_3-2-1_50HMH_2022-01-06_final
2022-01-07 09:41:20	ga_s2bm_ard_3-2-1_56KMG_2022-01-07_final.stac-item
2022-01-07 09:41:26	ga_s2bm_ard_3-2-1_56KKG_2022-01-07_final.stac-item
2022-01-07 09:41:37	ga_s2bm_ard_3-2-1_56KLF_2022-01-07_final
2022-01-07 09:42:07	ga_s2bm_ard_3-2-1_56KLD_2022-01-07_final
2022-01-07 09:42:39	ga_s2bm_ard_3-2-1_55KHS_2022-01-07_final
2022-01-07 09:42:53	ga_s2bm_ard_3-2-1_56KKA_2022-01-07_final
2022-01-07 09:42:57	ga_s2bm_ard_3-2-1_55KGR_2022-01-07_final
2022-01-07 09:43:08	ga_s2bm_ard_3-2-1_56KKV_2022-01-07_final
2022-01-07 09:43:08	ga_s2bm_ard_3-2-1_55KHQ_2022-01-07_final
2022-01-07 09:43:12	ga_s2bm_ard_3-2-1_55KGQ_2022-01-07_final
2022-01-07 09:43:19	ga_s2bm_ard_3-2-1_56KLU_2022-01-07_final
2022-01-07 09:43:23	ga_s2bm_ard_3-2-1_56KKU_2022-01-07_final
2022-01-07 09:43:23	ga_s2bm_ard_3-2-1_55KHP_2022-01-07_final
2022-01-07 09:43:26	ga_s2bm_ard_3-2-1_55KGP_2022-01-07_final
2022-01-07 09:43:31	ga_s2bm_ard_3-2-1_55KFP_2022-01-07_final
2022-01-07 09:43:34	ga_s2bm_ard_3-2-1_56JLT_2022-01-07_final
2022-01-07 09:43:44	ga_s2bm_ard_3-2-1_55JFN_2022-01-07_final
2022-01-07 09:43:52	ga_s2bm_ard_3-2-1_56JKS_2022-01-07_final
2022-01-07 09:43:55	ga_s2bm_ard_3-2-1_55JGM_2022-01-07_final
2022-01-07 09:45:29	ga_s2bm_ard_3-2-1_55JEF_2022-01-07_final
2022-01-07 09:45:33	ga_s2bm_ard_3-2-1_55JDF_2022-01-07_final
2022-01-07 09:45:51	ga_s2bm_ard_3-2-1_55HGD_2022-01-07_final
2022-01-07 09:46:03	ga_s2bm_ard_3-2-1_55HGC_2022-01-07_final
2022-01-07 09:46:13	ga_s2bm_ard_3-2-1_55HEC_2022-01-07_final
2022-01-07 09:46:13	ga_s2bm_ard_3-2-1_55HGB_2022-01-07_final
2022-01-07 09:46:16	ga_s2bm_ard_3-2-1_55HDC_2022-01-07_final
2022-01-07 09:46:42	ga_s2bm_ard_3-2-1_55HEA_2022-01-07_final
2022-01-07 09:46:45	ga_s2bm_ard_3-2-1_55HDA_2022-01-07_final
2022-01-07 09:46:52	ga_s2bm_ard_3-2-1_55HFV_2022-01-07_final
2022-01-07 09:46:56	ga_s2bm_ard_3-2-1_55HEV_2022-01-07_final
2022-01-07 09:47:00	ga_s2bm_ard_3-2-1_55HDV_2022-01-07_final
2022-01-07 09:47:03	ga_s2bm_ard_3-2-1_55HCV_2022-01-07_final
2022-01-07 09:47:40	ga_s2bm_ard_3-2-1_55HES_2022-01-07_final
2022-01-07 09:47:51	ga_s2bm_ard_3-2-1_54HYB_2022-01-07_final
2022-01-07 09:47:54	ga_s2bm_ard_3-2-1_55GER_2022-01-07_final
2022-01-07 09:47:58	ga_s2bm_ard_3-2-1_55GDR_2022-01-07_final
2022-01-07 09:48:01	ga_s2bm_ard_3-2-1_55GCR_2022-01-07_final
2022-01-07 09:48:04	ga_s2bm_ard_3-2-1_55GBR_2022-01-07_final
2022-01-07 09:48:04	ga_s2bm_ard_3-2-1_54GYA_2022-01-07_final
2022-01-07 09:48:05	ga_s2bm_ard_3-2-1_55GEQ_2022-01-07_final
2022-01-07 09:48:07	ga_s2bm_ard_3-2-1_55GDQ_2022-01-07_final
2022-01-07 09:48:09	ga_s2bm_ard_3-2-1_55GCR_2022-01-07_final
2022-01-07 09:48:09	ga_s2bm_ard_3-2-1_55GCQ_2022-01-07_final
2022-01-07 09:48:10	ga_s2bm_ard_3-2-1_55GBR_2022-01-07_final
2022-01-07 09:48:10	ga_s2bm_ard_3-2-1_54GYA_2022-01-07_final
2022-01-07 09:48:10	ga_s2bm_ard_3-2-1_55GBQ_2022-01-07_final.stac-item
2022-01-07 09:48:11	ga_s2bm_ard_3-2-1_54GYV_2022-01-07_final.stac-item
2022-01-07 09:48:11	ga_s2bm_ard_3-2-1_55GEQ_2022-01-07_final
2022-01-07 09:48:14	ga_s2bm_ard_3-2-1_55GDQ_2022-01-07_final
2022-01-07 09:48:16	ga_s2bm_ard_3-2-1_55GCQ_2022-01-07_final
2022-01-07 09:48:18	ga_s2bm_ard_3-2-1_55GEP_2022-01-07_final
2022-01-07 09:48:19	ga_s2bm_ard_3-2-1_55GBQ_2022-01-07_final.stac-item
2022-01-07 09:48:19	ga_s2bm_ard_3-2-1_54GYV_2022-01-07_final.stac-item
2022-01-07 09:48:27	ga_s2bm_ard_3-2-1_55GDP_2022-01-07_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