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
2019-11-05 11:44:52	ga_s2bm_ard_3-2-1_50JPS_2019-11-05_final
2019-11-05 11:45:00	ga_s2bm_ard_3-2-1_51JTL_2019-11-05_final
2019-11-05 11:45:03	ga_s2bm_ard_3-2-1_50JQR_2019-11-05_final
2019-11-05 11:45:21	ga_s2bm_ard_3-2-1_50JPQ_2019-11-05_final
2019-11-05 11:45:25	ga_s2bm_ard_3-2-1_50JNQ_2019-11-05_final
2019-11-05 11:45:44	ga_s2bm_ard_3-2-1_51JTH_2019-11-05_final
2019-11-05 11:45:46	ga_s2bm_ard_3-2-1_50JQN_2019-11-05_final
2019-11-05 11:46:43	ga_s2bm_ard_3-2-1_50HQJ_2019-11-05_final
2019-11-05 11:46:48	ga_s2bm_ard_3-2-1_50HPJ_2019-11-05_final
2019-11-05 11:46:52	ga_s2bm_ard_3-2-1_50HNJ_2019-11-05_final
2019-11-05 11:46:55	ga_s2bm_ard_3-2-1_50HMJ_2019-11-05_final
2019-11-06 09:32:45	ga_s2bm_ard_3-2-1_56KNB_2019-11-06_final.stac-item
2019-11-06 09:32:47	ga_s2bm_ard_3-2-1_56KMB_2019-11-06_final.stac-item
2019-11-06 09:32:48	ga_s2bm_ard_3-2-1_56KLB_2019-11-06_final
2019-11-06 09:32:59	ga_s2bm_ard_3-2-1_56KLA_2019-11-06_final
2019-11-06 09:33:13	ga_s2bm_ard_3-2-1_56KLV_2019-11-06_final
2019-11-06 09:33:25	ga_s2bm_ard_3-2-1_56KMU_2019-11-06_final
2019-11-06 09:33:28	ga_s2bm_ard_3-2-1_56KLU_2019-11-06_final
2019-11-06 09:33:35	ga_s2bm_ard_3-2-1_56JNT_2019-11-06_final
2019-11-06 09:33:39	ga_s2bm_ard_3-2-1_56JMT_2019-11-06_final
2019-11-06 09:33:50	ga_s2bm_ard_3-2-1_56JNS_2019-11-06_final
2019-11-06 09:33:54	ga_s2bm_ard_3-2-1_56JMS_2019-11-06_final
2019-11-06 09:33:57	ga_s2bm_ard_3-2-1_56JLS_2019-11-06_final
2019-11-06 09:34:01	ga_s2bm_ard_3-2-1_55JHM_2019-11-06_final
2019-11-06 09:34:01	ga_s2bm_ard_3-2-1_56JKS_2019-11-06_final
2019-11-06 09:34:14	ga_s2bm_ard_3-2-1_56JKR_2019-11-06_final
2019-11-06 09:34:19	ga_s2bm_ard_3-2-1_56JNQ_2019-11-06_final.stac-item
2019-11-06 09:34:23	ga_s2bm_ard_3-2-1_56JMQ_2019-11-06_final
2019-11-06 09:34:26	ga_s2bm_ard_3-2-1_56JLQ_2019-11-06_final
2019-11-06 09:34:58	ga_s2bm_ard_3-2-1_56JKN_2019-11-06_final
2019-11-06 09:35:01	ga_s2bm_ard_3-2-1_55JGH_2019-11-06_final
2019-11-06 09:35:48	ga_s2bm_ard_3-2-1_56HMJ_2019-11-06_final
2019-11-06 09:35:53	ga_s2bm_ard_3-2-1_56HLJ_2019-11-06_final
2019-11-06 09:35:57	ga_s2bm_ard_3-2-1_56HKJ_2019-11-06_final
2019-11-06 09:35:59	ga_s2bm_ard_3-2-1_55HGD_2019-11-06_final
2019-11-06 09:36:02	ga_s2bm_ard_3-2-1_55HFD_2019-11-06_final
2019-11-06 09:36:56	ga_s2bm_ard_3-2-1_55HGV_2019-11-06_final
2019-11-06 09:37:43	ga_s2bm_ard_3-2-1_55HFS_2019-11-06_final.stac-item
2019-11-06 09:37:47	ga_s2bm_ard_3-2-1_55HES_2019-11-06_final
2019-11-06 09:37:51	ga_s2bm_ard_3-2-1_55HDS_2019-11-06_final
2019-11-06 09:38:41	ga_s2bm_ard_3-2-1_55GFN_2019-11-06_final
2019-11-06 09:38:45	ga_s2bm_ard_3-2-1_55GEN_2019-11-06_final
2019-11-06 09:38:49	ga_s2bm_ard_3-2-1_55GDN_2019-11-06_final
2019-11-06 09:38:52	ga_s2bm_ard_3-2-1_55GCN_2019-11-06_final
2019-11-06 09:39:00	ga_s2bm_ard_3-2-1_55GEM_2019-11-06_final.stac-item
2019-11-06 09:39:02	ga_s2bm_ard_3-2-1_55GDM_2019-11-06_final.stac-item
2019-11-06 09:39:04	ga_s2bm_ard_3-2-1_55GCM_2019-11-06_final.stac-item
2019-11-06 11:10:04	ga_s2bm_ard_3-2-1_53LKJ_2019-11-06_final.stac-item
2019-11-06 11:10:32	ga_s2bm_ard_3-2-1_52LFN_2019-11-06_final.stac-item
2019-11-06 11:10:37	ga_s2bm_ard_3-2-1_52LHM_2019-11-06_final
2019-11-06 11:10:43	ga_s2bm_ard_3-2-1_52LGM_2019-11-06_final
2019-11-06 11:10:47	ga_s2bm_ard_3-2-1_52LFM_2019-11-06_final.stac-item
2019-11-06 11:11:16	ga_s2bm_ard_3-2-1_52LFK_2019-11-06_final
2019-11-06 11:11:19	ga_s2bm_ard_3-2-1_52LEK_2019-11-06_final.stac-item
2019-11-06 11:11:27	ga_s2bm_ard_3-2-1_52LGJ_2019-11-06_final
2019-11-06 11:11:30	ga_s2bm_ard_3-2-1_52LFJ_2019-11-06_final
2019-11-06 11:11:59	ga_s2bm_ard_3-2-1_52KFG_2019-11-06_final
2019-11-06 11:12:03	ga_s2bm_ard_3-2-1_52KEG_2019-11-06_final
2019-11-06 11:12:06	ga_s2bm_ard_3-2-1_52KDG_2019-11-06_final
2019-11-06 11:12:11	ga_s2bm_ard_3-2-1_52KCG_2019-11-06_final
2019-11-06 11:12:14	ga_s2bm_ard_3-2-1_52KFF_2019-11-06_final
2019-11-06 11:12:17	ga_s2bm_ard_3-2-1_52KEF_2019-11-06_final
2019-11-06 11:12:20	ga_s2bm_ard_3-2-1_52KDF_2019-11-06_final
2019-11-06 11:12:24	ga_s2bm_ard_3-2-1_52KCF_2019-11-06_final
2019-11-06 11:13:01	ga_s2bm_ard_3-2-1_52KEC_2019-11-06_final
2019-11-06 11:13:04	ga_s2bm_ard_3-2-1_52KDC_2019-11-06_final
2019-11-06 11:13:15	ga_s2bm_ard_3-2-1_52KEB_2019-11-06_final
2019-11-06 11:13:19	ga_s2bm_ard_3-2-1_52KDB_2019-11-06_final
2019-11-06 11:13:22	ga_s2bm_ard_3-2-1_52KCB_2019-11-06_final
2019-11-06 11:13:25	ga_s2bm_ard_3-2-1_52KBB_2019-11-06_final
2019-11-06 11:13:29	ga_s2bm_ard_3-2-1_51KZS_2019-11-06_final
2019-11-06 11:13:30	ga_s2bm_ard_3-2-1_52KEA_2019-11-06_final
2019-11-06 11:13:33	ga_s2bm_ard_3-2-1_52KDA_2019-11-06_final
2019-11-06 11:13:39	ga_s2bm_ard_3-2-1_52KBA_2019-11-06_final
2019-11-06 11:13:40	ga_s2bm_ard_3-2-1_51KZR_2019-11-06_final
2019-11-06 11:13:44	ga_s2bm_ard_3-2-1_52KEV_2019-11-06_final
2019-11-06 11:13:48	ga_s2bm_ard_3-2-1_52KDV_2019-11-06_final
2019-11-06 11:13:51	ga_s2bm_ard_3-2-1_52KCV_2019-11-06_final
2019-11-06 11:13:54	ga_s2bm_ard_3-2-1_51KZQ_2019-11-06_final
2019-11-06 11:13:54	ga_s2bm_ard_3-2-1_52KBV_2019-11-06_final
2019-11-06 11:13:57	ga_s2bm_ard_3-2-1_52KEU_2019-11-06_final
2019-11-06 11:14:02	ga_s2bm_ard_3-2-1_52KDU_2019-11-06_final
2019-11-06 11:14:06	ga_s2bm_ard_3-2-1_52KCU_2019-11-06_final
2019-11-06 11:14:08	ga_s2bm_ard_3-2-1_52JET_2019-11-06_final
2019-11-06 11:14:09	ga_s2bm_ard_3-2-1_51KZP_2019-11-06_final
2019-11-06 11:14:17	ga_s2bm_ard_3-2-1_52JDT_2019-11-06_final
2019-11-06 11:14:23	ga_s2bm_ard_3-2-1_52JBT_2019-11-06_final
2019-11-06 11:14:29	ga_s2bm_ard_3-2-1_51JYN_2019-11-06_final
2019-11-06 11:14:31	ga_s2bm_ard_3-2-1_52JDS_2019-11-06_final
2019-11-06 11:14:35	ga_s2bm_ard_3-2-1_52JCS_2019-11-06_final
2019-11-06 11:14:38	ga_s2bm_ard_3-2-1_51JZM_2019-11-06_final
2019-11-06 11:14:38	ga_s2bm_ard_3-2-1_52JBS_2019-11-06_final
2019-11-06 11:14:41	ga_s2bm_ard_3-2-1_51JYM_2019-11-06_final
2019-11-06 11:14:53	ga_s2bm_ard_3-2-1_52JBR_2019-11-06_final
2019-11-06 11:14:56	ga_s2bm_ard_3-2-1_51JYL_2019-11-06_final
2019-11-06 11:15:00	ga_s2bm_ard_3-2-1_52JDQ_2019-11-06_final
2019-11-06 11:15:36	ga_s2bm_ard_3-2-1_52JBN_2019-11-06_final
2019-11-06 11:15:39	ga_s2bm_ard_3-2-1_51JYH_2019-11-06_final
2019-11-06 11:16:37	ga_s2bm_ard_3-2-1_51HYD_2019-11-06_final
2019-11-06 11:16:40	ga_s2bm_ard_3-2-1_51HXD_2019-11-06_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