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
2019-09-16 11:43:47	ga_s2bm_ard_3-2-1_50KRA_2019-09-16_final
2019-09-16 11:44:02	ga_s2bm_ard_3-2-1_50KRV_2019-09-16_final
2019-09-16 11:44:16	ga_s2bm_ard_3-2-1_50KRU_2019-09-16_final
2019-09-16 11:44:27	ga_s2bm_ard_3-2-1_51JUN_2019-09-16_final
2019-09-16 11:44:30	ga_s2bm_ard_3-2-1_51JTN_2019-09-16_final
2019-09-16 11:44:37	ga_s2bm_ard_3-2-1_50JPT_2019-09-16_final
2019-09-16 11:44:40	ga_s2bm_ard_3-2-1_51JUM_2019-09-16_final
2019-09-16 11:44:51	ga_s2bm_ard_3-2-1_51JUL_2019-09-16_final
2019-09-16 11:45:06	ga_s2bm_ard_3-2-1_50JPR_2019-09-16_final
2019-09-16 11:45:11	ga_s2bm_ard_3-2-1_50JNR_2019-09-16_final
2019-09-16 11:45:43	ga_s2bm_ard_3-2-1_51JTH_2019-09-16_final
2019-09-16 11:45:46	ga_s2bm_ard_3-2-1_50JQN_2019-09-16_final
2019-09-16 11:46:08	ga_s2bm_ard_3-2-1_50JNM_2019-09-16_final
2019-09-16 11:46:13	ga_s2bm_ard_3-2-1_50JMM_2019-09-16_final
2019-09-16 11:46:22	ga_s2bm_ard_3-2-1_50JNL_2019-09-16_final
2019-09-16 11:46:26	ga_s2bm_ard_3-2-1_50JML_2019-09-16_final
2019-09-16 11:46:43	ga_s2bm_ard_3-2-1_50HQJ_2019-09-16_final
2019-09-16 11:47:06	ga_s2bm_ard_3-2-1_50HNH_2019-09-16_final
2019-09-16 11:47:09	ga_s2bm_ard_3-2-1_50HMH_2019-09-16_final
2019-09-16 11:47:14	ga_s2bm_ard_3-2-1_50HLH_2019-09-16_final
2019-09-16 11:47:20	ga_s2bm_ard_3-2-1_50HNG_2019-09-16_final.stac-item
2019-09-16 11:47:24	ga_s2bm_ard_3-2-1_50HMG_2019-09-16_final.stac-item
2019-09-17 09:32:44	ga_s2bm_ard_3-2-1_56KNB_2019-09-17_final.stac-item
2019-09-17 09:32:46	ga_s2bm_ard_3-2-1_56KMB_2019-09-17_final.stac-item
2019-09-17 09:33:35	ga_s2bm_ard_3-2-1_56JNT_2019-09-17_final
2019-09-17 09:33:42	ga_s2bm_ard_3-2-1_56JLT_2019-09-17_final
2019-09-17 09:33:56	ga_s2bm_ard_3-2-1_56JLS_2019-09-17_final
2019-09-17 09:34:00	ga_s2bm_ard_3-2-1_55JHM_2019-09-17_final
2019-09-17 09:34:04	ga_s2bm_ard_3-2-1_56JNR_2019-09-17_final.stac-item
2019-09-17 09:34:08	ga_s2bm_ard_3-2-1_56JMR_2019-09-17_final
2019-09-17 09:34:11	ga_s2bm_ard_3-2-1_56JLR_2019-09-17_final
2019-09-17 09:34:19	ga_s2bm_ard_3-2-1_56JNQ_2019-09-17_final.stac-item
2019-09-17 09:34:22	ga_s2bm_ard_3-2-1_56JMQ_2019-09-17_final
2019-09-17 09:34:32	ga_s2bm_ard_3-2-1_56JNP_2019-09-17_final.stac-item
2019-09-17 09:34:37	ga_s2bm_ard_3-2-1_56JMP_2019-09-17_final
2019-09-17 09:34:58	ga_s2bm_ard_3-2-1_56JKN_2019-09-17_final
2019-09-17 09:35:01	ga_s2bm_ard_3-2-1_55JGH_2019-09-17_final
2019-09-17 09:35:20	ga_s2bm_ard_3-2-1_56JML_2019-09-17_final
2019-09-17 09:35:56	ga_s2bm_ard_3-2-1_56HKJ_2019-09-17_final
2019-09-17 09:35:58	ga_s2bm_ard_3-2-1_55HGD_2019-09-17_final
2019-09-17 09:36:11	ga_s2bm_ard_3-2-1_56HKH_2019-09-17_final
2019-09-17 09:36:13	ga_s2bm_ard_3-2-1_55HGC_2019-09-17_final
2019-09-17 09:36:50	ga_s2bm_ard_3-2-1_55HEA_2019-09-17_final
2019-09-17 09:36:56	ga_s2bm_ard_3-2-1_55HGV_2019-09-17_final
2019-09-17 09:37:00	ga_s2bm_ard_3-2-1_55HFV_2019-09-17_final
2019-09-17 09:37:03	ga_s2bm_ard_3-2-1_55HEV_2019-09-17_final
2019-09-17 09:37:51	ga_s2bm_ard_3-2-1_55GFR_2019-09-17_final
2019-09-17 09:37:52	ga_s2bm_ard_3-2-1_55GER_2019-09-17_final
2019-09-17 09:37:58	ga_s2bm_ard_3-2-1_55GFR_2019-09-17_final
2019-09-17 09:38:01	ga_s2bm_ard_3-2-1_55GER_2019-09-17_final
2019-09-17 09:38:05	ga_s2bm_ard_3-2-1_55GDR_2019-09-17_final
2019-09-17 09:38:12	ga_s2bm_ard_3-2-1_55GFQ_2019-09-17_final
2019-09-17 09:38:16	ga_s2bm_ard_3-2-1_55GEQ_2019-09-17_final
2019-09-17 09:38:19	ga_s2bm_ard_3-2-1_55GDQ_2019-09-17_final
2019-09-17 09:38:40	ga_s2bm_ard_3-2-1_55GFN_2019-09-17_final
2019-09-17 09:38:48	ga_s2bm_ard_3-2-1_55GDN_2019-09-17_final
2019-09-17 09:38:52	ga_s2bm_ard_3-2-1_55GCN_2019-09-17_final
2019-09-17 09:38:59	ga_s2bm_ard_3-2-1_55GEM_2019-09-17_final.stac-item
2019-09-17 09:39:02	ga_s2bm_ard_3-2-1_55GDM_2019-09-17_final.stac-item
2019-09-17 09:39:03	ga_s2bm_ard_3-2-1_55GCM_2019-09-17_final.stac-item
2019-09-17 11:10:47	ga_s2bm_ard_3-2-1_52LHL_2019-09-17_final
2019-09-17 11:10:57	ga_s2bm_ard_3-2-1_52LGL_2019-09-17_final
2019-09-17 11:11:01	ga_s2bm_ard_3-2-1_52LFL_2019-09-17_final
2019-09-17 11:11:12	ga_s2bm_ard_3-2-1_52LGK_2019-09-17_final
2019-09-17 11:11:26	ga_s2bm_ard_3-2-1_52LGJ_2019-09-17_final
2019-09-17 11:11:30	ga_s2bm_ard_3-2-1_52LFJ_2019-09-17_final
2019-09-17 11:11:33	ga_s2bm_ard_3-2-1_52LEJ_2019-09-17_final
2019-09-17 11:11:36	ga_s2bm_ard_3-2-1_52LDJ_2019-09-17_final
2019-09-17 11:11:39	ga_s2bm_ard_3-2-1_52LGH_2019-09-17_final
2019-09-17 11:11:44	ga_s2bm_ard_3-2-1_52LFH_2019-09-17_final
2019-09-17 11:11:48	ga_s2bm_ard_3-2-1_52LEH_2019-09-17_final
2019-09-17 11:11:50	ga_s2bm_ard_3-2-1_52KGG_2019-09-17_final
2019-09-17 11:11:51	ga_s2bm_ard_3-2-1_52LDH_2019-09-17_final
2019-09-17 11:11:58	ga_s2bm_ard_3-2-1_52KFG_2019-09-17_final
2019-09-17 11:12:02	ga_s2bm_ard_3-2-1_52KEG_2019-09-17_final
2019-09-17 11:12:05	ga_s2bm_ard_3-2-1_52KDG_2019-09-17_final
2019-09-17 11:12:10	ga_s2bm_ard_3-2-1_52KCG_2019-09-17_final
2019-09-17 11:12:17	ga_s2bm_ard_3-2-1_52KEF_2019-09-17_final
2019-09-17 11:12:20	ga_s2bm_ard_3-2-1_52KDF_2019-09-17_final
2019-09-17 11:12:28	ga_s2bm_ard_3-2-1_52KFE_2019-09-17_final
2019-09-17 11:12:37	ga_s2bm_ard_3-2-1_52KCE_2019-09-17_final
2019-09-17 11:12:42	ga_s2bm_ard_3-2-1_52KFD_2019-09-17_final
2019-09-17 11:12:52	ga_s2bm_ard_3-2-1_52KCD_2019-09-17_final
2019-09-17 11:13:13	ga_s2bm_ard_3-2-1_52KBC_2019-09-17_final
2019-09-17 11:13:15	ga_s2bm_ard_3-2-1_52KEB_2019-09-17_final
2019-09-17 11:13:18	ga_s2bm_ard_3-2-1_52KDB_2019-09-17_final
2019-09-17 11:13:21	ga_s2bm_ard_3-2-1_52KCB_2019-09-17_final
2019-09-17 11:13:25	ga_s2bm_ard_3-2-1_52KBB_2019-09-17_final
2019-09-17 11:13:28	ga_s2bm_ard_3-2-1_51KZS_2019-09-17_final
2019-09-17 11:13:40	ga_s2bm_ard_3-2-1_51KZR_2019-09-17_final
2019-09-17 11:13:53	ga_s2bm_ard_3-2-1_51KZQ_2019-09-17_final
2019-09-17 11:14:08	ga_s2bm_ard_3-2-1_51KZP_2019-09-17_final
2019-09-17 11:14:20	ga_s2bm_ard_3-2-1_52JCT_2019-09-17_final
2019-09-17 11:14:23	ga_s2bm_ard_3-2-1_52JBT_2019-09-17_final
2019-09-17 11:14:34	ga_s2bm_ard_3-2-1_52JCS_2019-09-17_final
2019-09-17 11:14:45	ga_s2bm_ard_3-2-1_52JDR_2019-09-17_final
2019-09-17 11:14:49	ga_s2bm_ard_3-2-1_52JCR_2019-09-17_final
2019-09-17 11:15:36	ga_s2bm_ard_3-2-1_52JBN_2019-09-17_final
2019-09-17 11:15:38	ga_s2bm_ard_3-2-1_51JYH_2019-09-17_final
2019-09-17 11:16:36	ga_s2bm_ard_3-2-1_51HYD_2019-09-17_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