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
2022-01-14 09:32:41	ga_s2bm_ard_3-2-1_56KNB_2022-01-14_final.stac-item
2022-01-14 09:32:42	ga_s2bm_ard_3-2-1_56KMB_2022-01-14_final.stac-item
2022-01-14 09:32:44	ga_s2bm_ard_3-2-1_56KLB_2022-01-14_final
2022-01-14 09:32:48	ga_s2bm_ard_3-2-1_56KNA_2022-01-14_final.stac-item
2022-01-14 09:32:51	ga_s2bm_ard_3-2-1_56KMA_2022-01-14_final
2022-01-14 09:33:09	ga_s2bm_ard_3-2-1_56KLV_2022-01-14_final
2022-01-14 09:33:20	ga_s2bm_ard_3-2-1_56KMU_2022-01-14_final
2022-01-14 09:33:24	ga_s2bm_ard_3-2-1_56KLU_2022-01-14_final
2022-01-14 09:33:31	ga_s2bm_ard_3-2-1_56JNT_2022-01-14_final
2022-01-14 09:33:35	ga_s2bm_ard_3-2-1_56JMT_2022-01-14_final
2022-01-14 09:33:38	ga_s2bm_ard_3-2-1_56JLT_2022-01-14_final
2022-01-14 09:33:46	ga_s2bm_ard_3-2-1_56JKT_2022-01-14_final
2022-01-14 09:33:50	ga_s2bm_ard_3-2-1_56JMS_2022-01-14_final
2022-01-14 09:33:57	ga_s2bm_ard_3-2-1_56JKS_2022-01-14_final
2022-01-14 09:34:10	ga_s2bm_ard_3-2-1_56JKR_2022-01-14_final
2022-01-14 09:34:22	ga_s2bm_ard_3-2-1_56JLQ_2022-01-14_final
2022-01-14 09:34:25	ga_s2bm_ard_3-2-1_56JKQ_2022-01-14_final
2022-01-14 09:34:40	ga_s2bm_ard_3-2-1_56JKP_2022-01-14_final
2022-01-14 09:34:46	ga_s2bm_ard_3-2-1_55JGJ_2022-01-14_final
2022-01-14 09:34:47	ga_s2bm_ard_3-2-1_56JMN_2022-01-14_final
2022-01-14 09:34:51	ga_s2bm_ard_3-2-1_56JLN_2022-01-14_final
2022-01-14 09:35:09	ga_s2bm_ard_3-2-1_56JKM_2022-01-14_final
2022-01-14 09:35:11	ga_s2bm_ard_3-2-1_55JGG_2022-01-14_final
2022-01-14 09:35:26	ga_s2bm_ard_3-2-1_55JGF_2022-01-14_final
2022-01-14 09:35:35	ga_s2bm_ard_3-2-1_56HLK_2022-01-14_final
2022-01-14 09:35:40	ga_s2bm_ard_3-2-1_55HGE_2022-01-14_final
2022-01-14 09:35:44	ga_s2bm_ard_3-2-1_56HMJ_2022-01-14_final
2022-01-14 09:35:46	ga_s2bm_ard_3-2-1_55HFE_2022-01-14_final
2022-01-14 09:35:49	ga_s2bm_ard_3-2-1_56HLJ_2022-01-14_final
2022-01-14 09:35:52	ga_s2bm_ard_3-2-1_56HKJ_2022-01-14_final
2022-01-14 09:35:54	ga_s2bm_ard_3-2-1_55HGD_2022-01-14_final
2022-01-14 09:35:58	ga_s2bm_ard_3-2-1_55HFD_2022-01-14_final
2022-01-14 09:36:07	ga_s2bm_ard_3-2-1_56HKH_2022-01-14_final
2022-01-14 09:36:09	ga_s2bm_ard_3-2-1_55HGC_2022-01-14_final
2022-01-14 09:36:18	ga_s2bm_ard_3-2-1_56HLG_2022-01-14_final.stac-item
2022-01-14 09:36:22	ga_s2bm_ard_3-2-1_56HKG_2022-01-14_final
2022-01-14 09:36:23	ga_s2bm_ard_3-2-1_55HGB_2022-01-14_final
2022-01-14 09:36:27	ga_s2bm_ard_3-2-1_55HFB_2022-01-14_final
2022-01-14 09:36:46	ga_s2bm_ard_3-2-1_55HEA_2022-01-14_final
2022-01-14 09:37:10	ga_s2bm_ard_3-2-1_55HFU_2022-01-14_final.stac-item
2022-01-14 09:37:14	ga_s2bm_ard_3-2-1_55HEU_2022-01-14_final
2022-01-14 09:37:25	ga_s2bm_ard_3-2-1_55HFT_2022-01-14_final.stac-item
2022-01-14 09:37:29	ga_s2bm_ard_3-2-1_55HET_2022-01-14_final
2022-01-14 09:37:36	ga_s2bm_ard_3-2-1_55HDT_2022-01-14_final
2022-01-14 09:37:39	ga_s2bm_ard_3-2-1_55HFS_2022-01-14_final.stac-item
2022-01-14 09:37:43	ga_s2bm_ard_3-2-1_55HES_2022-01-14_final
2022-01-14 09:37:47	ga_s2bm_ard_3-2-1_55HDS_2022-01-14_final
2022-01-14 09:38:37	ga_s2bm_ard_3-2-1_55GFN_2022-01-14_final
2022-01-14 09:38:41	ga_s2bm_ard_3-2-1_55GEN_2022-01-14_final
2022-01-14 09:38:45	ga_s2bm_ard_3-2-1_55GDN_2022-01-14_final
2022-01-14 09:38:48	ga_s2bm_ard_3-2-1_55GCN_2022-01-14_final
2022-01-14 09:38:55	ga_s2bm_ard_3-2-1_55GEM_2022-01-14_final.stac-item
2022-01-14 09:38:58	ga_s2bm_ard_3-2-1_55GDM_2022-01-14_final.stac-item
2022-01-14 09:39:00	ga_s2bm_ard_3-2-1_55GCM_2022-01-14_final.stac-item
2022-01-14 11:10:21	ga_s2bm_ard_3-2-1_52LHN_2022-01-14_final
2022-01-14 11:10:33	ga_s2bm_ard_3-2-1_52LHM_2022-01-14_final
2022-01-14 11:10:39	ga_s2bm_ard_3-2-1_52LGM_2022-01-14_final
2022-01-14 11:10:43	ga_s2bm_ard_3-2-1_52LFM_2022-01-14_final.stac-item
2022-01-14 11:11:08	ga_s2bm_ard_3-2-1_52LFK_2022-01-14_final
2022-01-14 11:11:15	ga_s2bm_ard_3-2-1_52LFK_2022-01-14_final
2022-01-14 11:11:16	ga_s2bm_ard_3-2-1_52LEK_2022-01-14_final.stac-item
2022-01-14 11:11:46	ga_s2bm_ard_3-2-1_52KGG_2022-01-14_final
2022-01-14 11:12:56	ga_s2bm_ard_3-2-1_52KEC_2022-01-14_final
2022-01-14 11:13:00	ga_s2bm_ard_3-2-1_52KDC_2022-01-14_final
2022-01-14 11:13:26	ga_s2bm_ard_3-2-1_52KEA_2022-01-14_final
2022-01-14 11:13:29	ga_s2bm_ard_3-2-1_52KDA_2022-01-14_final
2022-01-14 11:13:35	ga_s2bm_ard_3-2-1_52KBA_2022-01-14_final
2022-01-14 11:13:40	ga_s2bm_ard_3-2-1_52KEV_2022-01-14_final
2022-01-14 11:13:44	ga_s2bm_ard_3-2-1_52KDV_2022-01-14_final
2022-01-14 11:13:47	ga_s2bm_ard_3-2-1_52KCV_2022-01-14_final
2022-01-14 11:13:58	ga_s2bm_ard_3-2-1_52KDU_2022-01-14_final
2022-01-14 11:14:03	ga_s2bm_ard_3-2-1_52JET_2022-01-14_final
2022-01-14 11:14:12	ga_s2bm_ard_3-2-1_52JDT_2022-01-14_final
2022-01-14 11:14:16	ga_s2bm_ard_3-2-1_52JCT_2022-01-14_final
2022-01-14 11:14:19	ga_s2bm_ard_3-2-1_52JBT_2022-01-14_final
2022-01-14 11:14:31	ga_s2bm_ard_3-2-1_52JCS_2022-01-14_final
2022-01-14 11:14:34	ga_s2bm_ard_3-2-1_52JBS_2022-01-14_final
2022-01-14 11:14:37	ga_s2bm_ard_3-2-1_51JYM_2022-01-14_final
2022-01-14 11:14:48	ga_s2bm_ard_3-2-1_52JBR_2022-01-14_final
2022-01-14 11:14:51	ga_s2bm_ard_3-2-1_51JYL_2022-01-14_final
2022-01-14 11:15:03	ga_s2bm_ard_3-2-1_52JBQ_2022-01-14_final
2022-01-14 11:15:06	ga_s2bm_ard_3-2-1_51JYK_2022-01-14_final
2022-01-14 11:15:18	ga_s2bm_ard_3-2-1_52JBP_2022-01-14_final
2022-01-14 11:15:20	ga_s2bm_ard_3-2-1_51JYJ_2022-01-14_final
2022-01-14 11:15:29	ga_s2bm_ard_3-2-1_52JCN_2022-01-14_final
2022-01-14 11:15:38	ga_s2bm_ard_3-2-1_51JXH_2022-01-14_final
2022-01-14 11:15:43	ga_s2bm_ard_3-2-1_52JCM_2022-01-14_final
2022-01-14 11:15:47	ga_s2bm_ard_3-2-1_52JBM_2022-01-14_final
2022-01-14 11:15:49	ga_s2bm_ard_3-2-1_51JYG_2022-01-14_final
2022-01-14 11:16:04	ga_s2bm_ard_3-2-1_51JYF_2022-01-14_final
2022-01-14 11:16:12	ga_s2bm_ard_3-2-1_52HCK_2022-01-14_final.stac-item
2022-01-14 11:16:18	ga_s2bm_ard_3-2-1_51HYE_2022-01-14_final
2022-01-14 11:16:22	ga_s2bm_ard_3-2-1_51HXE_2022-01-14_final
2022-01-14 11:16:33	ga_s2bm_ard_3-2-1_51HYD_2022-01-14_final
2022-01-14 11:16:36	ga_s2bm_ard_3-2-1_51HXD_2022-01-14_final
2022-01-14 11:16:40	ga_s2bm_ard_3-2-1_51HWD_2022-01-14_final
2022-01-14 11:16:51	ga_s2bm_ard_3-2-1_51HWC_2022-01-14_final.stac-item
2022-01-14 11:16:56	ga_s2bm_ard_3-2-1_51HXC_2022-01-14_final.stac-item
2022-01-14 11:16:58	ga_s2bm_ard_3-2-1_51HWC_2022-01-14_final.stac-item
2022-01-14 11:17:02	ga_s2bm_ard_3-2-1_51HXB_2022-01-14_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