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
2020-10-20 11:44:34	ga_s2bm_ard_3-2-1_50JRT_2020-10-20_final
2020-10-20 11:45:03	ga_s2bm_ard_3-2-1_51JTL_2020-10-20_final
2020-10-20 11:45:07	ga_s2bm_ard_3-2-1_50JQR_2020-10-20_final
2020-10-20 11:45:18	ga_s2bm_ard_3-2-1_51JTK_2020-10-20_final
2020-10-20 11:45:21	ga_s2bm_ard_3-2-1_50JQQ_2020-10-20_final
2020-10-20 11:45:25	ga_s2bm_ard_3-2-1_50JPQ_2020-10-20_final
2020-10-20 11:45:33	ga_s2bm_ard_3-2-1_51JTJ_2020-10-20_final
2020-10-20 11:45:36	ga_s2bm_ard_3-2-1_50JQP_2020-10-20_final
2020-10-20 11:45:57	ga_s2bm_ard_3-2-1_50JNN_2020-10-20_final
2020-10-20 11:46:00	ga_s2bm_ard_3-2-1_51JTG_2020-10-20_final
2020-10-20 11:46:04	ga_s2bm_ard_3-2-1_50JQM_2020-10-20_final
2020-10-20 11:46:08	ga_s2bm_ard_3-2-1_50JPM_2020-10-20_final
2020-10-20 11:46:15	ga_s2bm_ard_3-2-1_50JQL_2020-10-20_final
2020-10-20 11:46:17	ga_s2bm_ard_3-2-1_50JPL_2020-10-20_final
2020-10-20 11:46:22	ga_s2bm_ard_3-2-1_50JQL_2020-10-20_final
2020-10-20 11:46:24	ga_s2bm_ard_3-2-1_50JPL_2020-10-20_final
2020-10-20 11:46:33	ga_s2bm_ard_3-2-1_50HQK_2020-10-20_final
2020-10-20 11:46:37	ga_s2bm_ard_3-2-1_50HPK_2020-10-20_final
2020-10-20 11:46:41	ga_s2bm_ard_3-2-1_50HNK_2020-10-20_final
2020-10-20 11:46:44	ga_s2bm_ard_3-2-1_50HMK_2020-10-20_final
2020-10-20 11:47:06	ga_s2bm_ard_3-2-1_50HPH_2020-10-20_final
2020-10-20 11:47:20	ga_s2bm_ard_3-2-1_50HPG_2020-10-20_final.stac-item
2020-10-20 11:47:24	ga_s2bm_ard_3-2-1_50HNG_2020-10-20_final.stac-item
2020-10-20 11:47:28	ga_s2bm_ard_3-2-1_50HMG_2020-10-20_final.stac-item
2020-10-20 11:47:31	ga_s2bm_ard_3-2-1_50HLG_2020-10-20_final.stac-item
2020-10-21 09:34:18	ga_s2bm_ard_3-2-1_56JKR_2020-10-21_final
2020-10-21 09:34:30	ga_s2bm_ard_3-2-1_56JLQ_2020-10-21_final
2020-10-21 09:34:33	ga_s2bm_ard_3-2-1_56JKQ_2020-10-21_final
2020-10-21 09:34:47	ga_s2bm_ard_3-2-1_56JNN_2020-10-21_final
2020-10-21 09:34:47	ga_s2bm_ard_3-2-1_56JKP_2020-10-21_final
2020-10-21 09:34:54	ga_s2bm_ard_3-2-1_55JGJ_2020-10-21_final
2020-10-21 09:34:55	ga_s2bm_ard_3-2-1_56JMN_2020-10-21_final
2020-10-21 09:35:13	ga_s2bm_ard_3-2-1_56JLM_2020-10-21_final
2020-10-21 09:35:16	ga_s2bm_ard_3-2-1_56JKM_2020-10-21_final
2020-10-21 09:35:28	ga_s2bm_ard_3-2-1_56JLL_2020-10-21_final
2020-10-21 09:35:31	ga_s2bm_ard_3-2-1_56JKL_2020-10-21_final
2020-10-21 09:35:33	ga_s2bm_ard_3-2-1_55JGF_2020-10-21_final
2020-10-21 09:35:37	ga_s2bm_ard_3-2-1_56HMK_2020-10-21_final
2020-10-21 09:35:39	ga_s2bm_ard_3-2-1_56HLK_2020-10-21_final
2020-10-21 09:35:40	ga_s2bm_ard_3-2-1_56HKK_2020-10-21_final
2020-10-21 09:35:41	ga_s2bm_ard_3-2-1_55HGE_2020-10-21_final
2020-10-21 09:35:41	ga_s2bm_ard_3-2-1_55JGF_2020-10-21_final
2020-10-21 09:35:43	ga_s2bm_ard_3-2-1_56HMK_2020-10-21_final
2020-10-21 09:35:45	ga_s2bm_ard_3-2-1_56HLK_2020-10-21_final
2020-10-21 09:35:47	ga_s2bm_ard_3-2-1_56HKK_2020-10-21_final
2020-10-21 09:35:48	ga_s2bm_ard_3-2-1_55HGE_2020-10-21_final
2020-10-21 09:35:52	ga_s2bm_ard_3-2-1_56HMJ_2020-10-21_final
2020-10-21 09:35:54	ga_s2bm_ard_3-2-1_55HFE_2020-10-21_final
2020-10-21 09:36:11	ga_s2bm_ard_3-2-1_56HLH_2020-10-21_final.stac-item
2020-10-21 09:36:20	ga_s2bm_ard_3-2-1_55HFC_2020-10-21_final
2020-10-21 09:36:26	ga_s2bm_ard_3-2-1_56HLG_2020-10-21_final.stac-item
2020-10-21 09:36:35	ga_s2bm_ard_3-2-1_55HFB_2020-10-21_final
2020-10-21 09:37:00	ga_s2bm_ard_3-2-1_55HGV_2020-10-21_final
2020-10-21 09:37:47	ga_s2bm_ard_3-2-1_55HFS_2020-10-21_final.stac-item
2020-10-21 09:37:51	ga_s2bm_ard_3-2-1_55HES_2020-10-21_final
2020-10-21 09:37:55	ga_s2bm_ard_3-2-1_55HDS_2020-10-21_final
2020-10-21 09:38:01	ga_s2bm_ard_3-2-1_55GFR_2020-10-21_final
2020-10-21 09:38:05	ga_s2bm_ard_3-2-1_55GER_2020-10-21_final
2020-10-21 09:38:09	ga_s2bm_ard_3-2-1_55GDR_2020-10-21_final
2020-10-21 09:38:16	ga_s2bm_ard_3-2-1_55GFQ_2020-10-21_final
2020-10-21 09:38:20	ga_s2bm_ard_3-2-1_55GEQ_2020-10-21_final
2020-10-21 09:38:51	ga_s2bm_ard_3-2-1_55GCN_2020-10-21_final
2020-10-21 09:38:58	ga_s2bm_ard_3-2-1_55GCN_2020-10-21_final
2020-10-21 11:11:16	ga_s2bm_ard_3-2-1_52LGK_2020-10-21_final
2020-10-21 11:11:37	ga_s2bm_ard_3-2-1_52LEJ_2020-10-21_final
2020-10-21 11:11:40	ga_s2bm_ard_3-2-1_52LDJ_2020-10-21_final
2020-10-21 11:11:48	ga_s2bm_ard_3-2-1_52LFH_2020-10-21_final
2020-10-21 11:11:52	ga_s2bm_ard_3-2-1_52LEH_2020-10-21_final
2020-10-21 11:11:55	ga_s2bm_ard_3-2-1_52LDH_2020-10-21_final
2020-10-21 11:12:03	ga_s2bm_ard_3-2-1_52KFG_2020-10-21_final
2020-10-21 11:12:14	ga_s2bm_ard_3-2-1_52KCG_2020-10-21_final
2020-10-21 11:12:21	ga_s2bm_ard_3-2-1_52KEF_2020-10-21_final
2020-10-21 11:12:24	ga_s2bm_ard_3-2-1_52KDF_2020-10-21_final
2020-10-21 11:12:32	ga_s2bm_ard_3-2-1_52KFE_2020-10-21_final
2020-10-21 11:12:39	ga_s2bm_ard_3-2-1_52KDE_2020-10-21_final
2020-10-21 11:12:42	ga_s2bm_ard_3-2-1_52KCE_2020-10-21_final
2020-10-21 11:12:46	ga_s2bm_ard_3-2-1_52KFD_2020-10-21_final
2020-10-21 11:13:25	ga_s2bm_ard_3-2-1_52KCB_2020-10-21_final
2020-10-21 11:14:12	ga_s2bm_ard_3-2-1_51KZP_2020-10-21_final
2020-10-21 11:14:27	ga_s2bm_ard_3-2-1_51JZN_2020-10-21_final
2020-10-21 11:14:56	ga_s2bm_ard_3-2-1_52JBR_2020-10-21_final
2020-10-21 11:14:59	ga_s2bm_ard_3-2-1_51JYL_2020-10-21_final
2020-10-21 11:15:11	ga_s2bm_ard_3-2-1_52JBQ_2020-10-21_final
2020-10-21 11:15:14	ga_s2bm_ard_3-2-1_51JYK_2020-10-21_final
2020-10-21 11:15:25	ga_s2bm_ard_3-2-1_52JBP_2020-10-21_final
2020-10-21 11:15:28	ga_s2bm_ard_3-2-1_51JYJ_2020-10-21_final
2020-10-21 11:15:36	ga_s2bm_ard_3-2-1_52JCN_2020-10-21_final
2020-10-21 11:15:51	ga_s2bm_ard_3-2-1_52JCM_2020-10-21_final
2020-10-21 11:15:54	ga_s2bm_ard_3-2-1_52JBM_2020-10-21_final
2020-10-21 11:16:01	ga_s2bm_ard_3-2-1_51JXG_2020-10-21_final
2020-10-21 11:16:06	ga_s2bm_ard_3-2-1_52JCL_2020-10-21_final
2020-10-21 11:16:11	ga_s2bm_ard_3-2-1_51JYF_2020-10-21_final
2020-10-21 11:16:15	ga_s2bm_ard_3-2-1_51JXF_2020-10-21_final
2020-10-21 11:16:19	ga_s2bm_ard_3-2-1_52HCK_2020-10-21_final.stac-item
2020-10-21 11:16:23	ga_s2bm_ard_3-2-1_52HBK_2020-10-21_final
2020-10-21 11:16:26	ga_s2bm_ard_3-2-1_51HYE_2020-10-21_final
2020-10-21 11:16:30	ga_s2bm_ard_3-2-1_51HXE_2020-10-21_final
2020-10-21 11:16:34	ga_s2bm_ard_3-2-1_51HWE_2020-10-21_final
2020-10-21 11:16:59	ga_s2bm_ard_3-2-1_51HXC_2020-10-21_final.stac-item
2020-10-21 11:17:10	ga_s2bm_ard_3-2-1_51HXB_2020-10-21_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