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
2021-08-19 10:12:35	ga_s2bm_ard_3-2-1_54KZC_2021-08-19_final
2021-08-19 10:13:29	ga_s2bm_ard_3-2-1_54KWV_2021-08-19_final
2021-08-19 10:13:44	ga_s2bm_ard_3-2-1_54KWU_2021-08-19_final
2021-08-19 10:13:55	ga_s2bm_ard_3-2-1_54JXT_2021-08-19_final
2021-08-19 10:14:24	ga_s2bm_ard_3-2-1_54JXR_2021-08-19_final
2021-08-19 10:14:27	ga_s2bm_ard_3-2-1_54JWR_2021-08-19_final
2021-08-19 10:14:31	ga_s2bm_ard_3-2-1_54JVR_2021-08-19_final
2021-08-19 10:14:42	ga_s2bm_ard_3-2-1_54JWQ_2021-08-19_final
2021-08-19 10:14:45	ga_s2bm_ard_3-2-1_54JVQ_2021-08-19_final
2021-08-19 10:14:53	ga_s2bm_ard_3-2-1_54JXP_2021-08-19_final
2021-08-19 10:14:57	ga_s2bm_ard_3-2-1_54JWP_2021-08-19_final
2021-08-19 10:14:57	ga_s2bm_ard_3-2-1_54JYN_2021-08-19_final
2021-08-19 10:15:00	ga_s2bm_ard_3-2-1_54JVP_2021-08-19_final
2021-08-19 10:15:07	ga_s2bm_ard_3-2-1_54JUP_2021-08-19_final
2021-08-19 10:15:26	ga_s2bm_ard_3-2-1_54JWM_2021-08-19_final
2021-08-19 10:15:29	ga_s2bm_ard_3-2-1_54JVM_2021-08-19_final
2021-08-19 10:15:36	ga_s2bm_ard_3-2-1_54JXL_2021-08-19_final
2021-08-19 10:15:40	ga_s2bm_ard_3-2-1_54JWL_2021-08-19_final
2021-08-19 10:15:44	ga_s2bm_ard_3-2-1_54JVL_2021-08-19_final
2021-08-19 10:15:47	ga_s2bm_ard_3-2-1_54JUL_2021-08-19_final
2021-08-19 10:15:54	ga_s2bm_ard_3-2-1_54HWK_2021-08-19_final
2021-08-19 10:15:58	ga_s2bm_ard_3-2-1_54HVK_2021-08-19_final
2021-08-19 10:16:06	ga_s2bm_ard_3-2-1_54HVK_2021-08-19_final
2021-08-19 10:16:20	ga_s2bm_ard_3-2-1_54HTJ_2021-08-19_final
2021-08-19 10:16:33	ga_s2bm_ard_3-2-1_54HTH_2021-08-19_final
2021-08-19 10:16:38	ga_s2bm_ard_3-2-1_54HWG_2021-08-19_final
2021-08-19 10:16:45	ga_s2bm_ard_3-2-1_54HUG_2021-08-19_final
2021-08-19 10:16:52	ga_s2bm_ard_3-2-1_54HWF_2021-08-19_final
2021-08-19 10:16:56	ga_s2bm_ard_3-2-1_54HVF_2021-08-19_final
2021-08-19 10:17:03	ga_s2bm_ard_3-2-1_54HTF_2021-08-19_final
2021-08-19 10:17:03	ga_s2bm_ard_3-2-1_54HWE_2021-08-19_final
2021-08-19 10:17:04	ga_s2bm_ard_3-2-1_53HQA_2021-08-19_final
2021-08-19 10:17:10	ga_s2bm_ard_3-2-1_54HVE_2021-08-19_final
2021-08-19 10:17:14	ga_s2bm_ard_3-2-1_54HUE_2021-08-19_final.stac-item
2021-08-19 10:17:17	ga_s2bm_ard_3-2-1_54HTE_2021-08-19_final.stac-item
2021-08-19 10:17:19	ga_s2bm_ard_3-2-1_53HQV_2021-08-19_final.stac-item
2021-08-19 10:17:25	ga_s2bm_ard_3-2-1_54HVD_2021-08-19_final
2021-08-19 10:17:29	ga_s2bm_ard_3-2-1_54HUD_2021-08-19_final.stac-item
2021-08-19 11:52:34	ga_s2bm_ard_3-2-1_50KQF_2021-08-19_final.stac-item
2021-08-19 11:52:58	ga_s2bm_ard_3-2-1_50KRD_2021-08-19_final
2021-08-19 11:53:10	ga_s2bm_ard_3-2-1_50KRC_2021-08-19_final
2021-08-19 11:53:24	ga_s2bm_ard_3-2-1_50KNC_2021-08-19_final
2021-08-19 11:53:30	ga_s2bm_ard_3-2-1_50KMC_2021-08-19_final
2021-08-19 11:54:00	ga_s2bm_ard_3-2-1_50KNV_2021-08-19_final
2021-08-19 11:54:07	ga_s2bm_ard_3-2-1_50KNV_2021-08-19_final
2021-08-19 11:54:11	ga_s2bm_ard_3-2-1_50KMV_2021-08-19_final
2021-08-19 11:54:22	ga_s2bm_ard_3-2-1_50KNU_2021-08-19_final
2021-08-19 11:54:25	ga_s2bm_ard_3-2-1_50KMU_2021-08-19_final
2021-08-19 11:54:33	ga_s2bm_ard_3-2-1_50JPT_2021-08-19_final
2021-08-19 11:54:44	ga_s2bm_ard_3-2-1_50JLT_2021-08-19_final
2021-08-19 11:55:06	ga_s2bm_ard_3-2-1_50JNR_2021-08-19_final
2021-08-19 11:55:09	ga_s2bm_ard_3-2-1_50JMR_2021-08-19_final
2021-08-19 11:55:12	ga_s2bm_ard_3-2-1_50JLR_2021-08-19_final
2021-08-19 11:55:20	ga_s2bm_ard_3-2-1_50JNQ_2021-08-19_final
2021-08-19 11:55:23	ga_s2bm_ard_3-2-1_50JMQ_2021-08-19_final
2021-08-19 11:55:26	ga_s2bm_ard_3-2-1_50JPP_2021-08-19_final
2021-08-19 11:55:34	ga_s2bm_ard_3-2-1_50JNP_2021-08-19_final
2021-08-19 11:55:38	ga_s2bm_ard_3-2-1_50JMP_2021-08-19_final
2021-08-19 11:55:41	ga_s2bm_ard_3-2-1_50JLP_2021-08-19_final
2021-08-19 11:55:59	ga_s2bm_ard_3-2-1_50JKN_2021-08-19_final
2021-08-19 11:56:04	ga_s2bm_ard_3-2-1_50JNM_2021-08-19_final
2021-08-19 11:56:07	ga_s2bm_ard_3-2-1_50JMM_2021-08-19_final
2021-08-19 11:56:25	ga_s2bm_ard_3-2-1_50JLL_2021-08-19_final
2021-08-19 11:56:36	ga_s2bm_ard_3-2-1_50HMK_2021-08-19_final
2021-08-19 11:57:23	ga_s2bm_ard_3-2-1_50HLG_2021-08-19_final.stac-item
2021-08-20 09:41:44	ga_s2bm_ard_3-2-1_56KKF_2021-08-20_final
2021-08-20 09:43:37	ga_s2bm_ard_3-2-1_56JLT_2021-08-20_final
2021-08-20 09:44:05	ga_s2bm_ard_3-2-1_56JLR_2021-08-20_final
2021-08-20 09:44:17	ga_s2bm_ard_3-2-1_55JFL_2021-08-20_final
2021-08-20 09:44:24	ga_s2bm_ard_3-2-1_55JEL_2021-08-20_final
2021-08-20 09:44:45	ga_s2bm_ard_3-2-1_55JFJ_2021-08-20_final
2021-08-20 09:44:49	ga_s2bm_ard_3-2-1_55JEJ_2021-08-20_final
2021-08-20 09:44:53	ga_s2bm_ard_3-2-1_56JKN_2021-08-20_final
2021-08-20 09:44:56	ga_s2bm_ard_3-2-1_55JGH_2021-08-20_final
2021-08-20 09:45:18	ga_s2bm_ard_3-2-1_55JEG_2021-08-20_final
2021-08-20 09:45:29	ga_s2bm_ard_3-2-1_55JFF_2021-08-20_final
2021-08-20 09:45:32	ga_s2bm_ard_3-2-1_55JEF_2021-08-20_final
2021-08-20 09:45:36	ga_s2bm_ard_3-2-1_55JDF_2021-08-20_final
2021-08-20 09:45:54	ga_s2bm_ard_3-2-1_55HGD_2021-08-20_final
2021-08-20 09:46:17	ga_s2bm_ard_3-2-1_55HGB_2021-08-20_final
2021-08-20 09:46:26	ga_s2bm_ard_3-2-1_55HFB_2021-08-20_final
2021-08-20 09:46:34	ga_s2bm_ard_3-2-1_55HDB_2021-08-20_final
2021-08-20 09:46:38	ga_s2bm_ard_3-2-1_55HCB_2021-08-20_final
2021-08-20 09:46:45	ga_s2bm_ard_3-2-1_55HEA_2021-08-20_final
2021-08-20 09:46:48	ga_s2bm_ard_3-2-1_55HDA_2021-08-20_final
2021-08-20 09:46:56	ga_s2bm_ard_3-2-1_55HFV_2021-08-20_final
2021-08-20 09:46:59	ga_s2bm_ard_3-2-1_55HEV_2021-08-20_final
2021-08-20 09:47:03	ga_s2bm_ard_3-2-1_55HDV_2021-08-20_final
2021-08-20 09:47:06	ga_s2bm_ard_3-2-1_55HCV_2021-08-20_final
2021-08-20 09:47:09	ga_s2bm_ard_3-2-1_55HFU_2021-08-20_final.stac-item
2021-08-20 09:47:14	ga_s2bm_ard_3-2-1_55HEU_2021-08-20_final
2021-08-20 09:47:18	ga_s2bm_ard_3-2-1_55HDU_2021-08-20_final
2021-08-20 09:47:21	ga_s2bm_ard_3-2-1_55HCU_2021-08-20_final
2021-08-20 09:47:29	ga_s2bm_ard_3-2-1_55HBU_2021-08-20_final
2021-08-20 09:47:57	ga_s2bm_ard_3-2-1_55GER_2021-08-20_final
2021-08-20 09:48:01	ga_s2bm_ard_3-2-1_55GDR_2021-08-20_final
2021-08-20 09:48:05	ga_s2bm_ard_3-2-1_55GCR_2021-08-20_final
2021-08-20 09:48:08	ga_s2bm_ard_3-2-1_55GBR_2021-08-20_final
2021-08-20 09:48:08	ga_s2bm_ard_3-2-1_54GYA_2021-08-20_final
2021-08-20 09:48:11	ga_s2bm_ard_3-2-1_55GEQ_2021-08-20_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