Search ga_s2bm_ard_3 on 25th March 2020

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
2020-03-25 09:34:02	ga_s2bm_ard_3-2-1_56JNR_2020-03-25_final.stac-item
2020-03-25 09:34:09	ga_s2bm_ard_3-2-1_56JLR_2020-03-25_final
2020-03-25 09:34:17	ga_s2bm_ard_3-2-1_56JNQ_2020-03-25_final.stac-item
2020-03-25 09:34:21	ga_s2bm_ard_3-2-1_56JMQ_2020-03-25_final
2020-03-25 09:34:27	ga_s2bm_ard_3-2-1_56JKQ_2020-03-25_final
2020-03-25 09:34:31	ga_s2bm_ard_3-2-1_56JNP_2020-03-25_final.stac-item
2020-03-25 09:34:35	ga_s2bm_ard_3-2-1_56JMP_2020-03-25_final
2020-03-25 09:34:38	ga_s2bm_ard_3-2-1_56JLP_2020-03-25_final
2020-03-25 09:34:42	ga_s2bm_ard_3-2-1_56JKP_2020-03-25_final
2020-03-25 09:34:48	ga_s2bm_ard_3-2-1_55JGJ_2020-03-25_final
2020-03-25 09:34:53	ga_s2bm_ard_3-2-1_56JLN_2020-03-25_final
2020-03-25 09:34:56	ga_s2bm_ard_3-2-1_56JKN_2020-03-25_final
2020-03-25 09:34:59	ga_s2bm_ard_3-2-1_55JGH_2020-03-25_final
2020-03-25 09:35:04	ga_s2bm_ard_3-2-1_56JMM_2020-03-25_final
2020-03-25 09:35:19	ga_s2bm_ard_3-2-1_56JML_2020-03-25_final
2020-03-25 09:35:22	ga_s2bm_ard_3-2-1_56JLL_2020-03-25_final
2020-03-25 09:35:28	ga_s2bm_ard_3-2-1_55JGF_2020-03-25_final
2020-03-25 09:35:33	ga_s2bm_ard_3-2-1_56HMK_2020-03-25_final
2020-03-25 09:35:40	ga_s2bm_ard_3-2-1_56HKK_2020-03-25_final
2020-03-25 09:35:42	ga_s2bm_ard_3-2-1_55HGE_2020-03-25_final
2020-03-25 09:35:46	ga_s2bm_ard_3-2-1_56HMJ_2020-03-25_final
2020-03-25 09:35:51	ga_s2bm_ard_3-2-1_56HLJ_2020-03-25_final
2020-03-25 09:36:09	ga_s2bm_ard_3-2-1_56HKH_2020-03-25_final
2020-03-25 09:36:11	ga_s2bm_ard_3-2-1_55HGC_2020-03-25_final
2020-03-25 09:36:20	ga_s2bm_ard_3-2-1_56HLG_2020-03-25_final.stac-item
2020-03-25 09:36:29	ga_s2bm_ard_3-2-1_55HFB_2020-03-25_final
2020-03-25 09:36:38	ga_s2bm_ard_3-2-1_56HKF_2020-03-25_final
2020-03-25 09:36:40	ga_s2bm_ard_3-2-1_55HGA_2020-03-25_final
2020-03-25 09:36:44	ga_s2bm_ard_3-2-1_55HFA_2020-03-25_final
2020-03-25 09:36:48	ga_s2bm_ard_3-2-1_55HEA_2020-03-25_final
2020-03-25 09:36:54	ga_s2bm_ard_3-2-1_55HGV_2020-03-25_final
2020-03-25 09:36:58	ga_s2bm_ard_3-2-1_55HFV_2020-03-25_final
2020-03-25 09:37:01	ga_s2bm_ard_3-2-1_55HEV_2020-03-25_final
2020-03-25 09:37:08	ga_s2bm_ard_3-2-1_55HGU_2020-03-25_final.stac-item
2020-03-25 09:37:12	ga_s2bm_ard_3-2-1_55HFU_2020-03-25_final.stac-item
2020-03-25 09:37:16	ga_s2bm_ard_3-2-1_55HEU_2020-03-25_final
2020-03-25 09:37:44	ga_s2bm_ard_3-2-1_55HES_2020-03-25_final
2020-03-25 09:37:47	ga_s2bm_ard_3-2-1_55HDS_2020-03-25_final
2020-03-25 09:37:51	ga_s2bm_ard_3-2-1_55GER_2020-03-25_final
2020-03-25 09:37:51	ga_s2bm_ard_3-2-1_55HES_2020-03-25_final
2020-03-25 09:37:53	ga_s2bm_ard_3-2-1_55HDS_2020-03-25_final
2020-03-25 09:38:10	ga_s2bm_ard_3-2-1_55GFQ_2020-03-25_final
2020-03-25 09:38:14	ga_s2bm_ard_3-2-1_55GEQ_2020-03-25_final
2020-03-25 09:38:24	ga_s2bm_ard_3-2-1_55GFP_2020-03-25_final
2020-03-25 09:38:29	ga_s2bm_ard_3-2-1_55GEP_2020-03-25_final
2020-03-25 09:38:32	ga_s2bm_ard_3-2-1_55GDP_2020-03-25_final
2020-03-25 09:38:38	ga_s2bm_ard_3-2-1_55GCP_2020-03-25_final
2020-03-25 09:38:39	ga_s2bm_ard_3-2-1_55GFN_2020-03-25_final
2020-03-25 09:38:43	ga_s2bm_ard_3-2-1_55GEN_2020-03-25_final
2020-03-25 09:38:47	ga_s2bm_ard_3-2-1_55GDN_2020-03-25_final
2020-03-25 09:38:50	ga_s2bm_ard_3-2-1_55GCN_2020-03-25_final
2020-03-25 09:38:57	ga_s2bm_ard_3-2-1_55GEM_2020-03-25_final.stac-item
2020-03-25 09:39:00	ga_s2bm_ard_3-2-1_55GDM_2020-03-25_final.stac-item
2020-03-25 09:39:02	ga_s2bm_ard_3-2-1_55GCM_2020-03-25_final.stac-item
2020-03-25 11:11:10	ga_s2bm_ard_3-2-1_52LGK_2020-03-25_final
2020-03-25 11:11:32	ga_s2bm_ard_3-2-1_52LEJ_2020-03-25_final
2020-03-25 11:11:35	ga_s2bm_ard_3-2-1_52LDJ_2020-03-25_final
2020-03-25 11:11:38	ga_s2bm_ard_3-2-1_52LGH_2020-03-25_final
2020-03-25 11:11:42	ga_s2bm_ard_3-2-1_52LFH_2020-03-25_final
2020-03-25 11:11:57	ga_s2bm_ard_3-2-1_52KFG_2020-03-25_final
2020-03-25 11:12:01	ga_s2bm_ard_3-2-1_52KEG_2020-03-25_final
2020-03-25 11:12:04	ga_s2bm_ard_3-2-1_52KDG_2020-03-25_final
2020-03-25 11:12:08	ga_s2bm_ard_3-2-1_52KCG_2020-03-25_final
2020-03-25 11:12:11	ga_s2bm_ard_3-2-1_52KFF_2020-03-25_final
2020-03-25 11:12:15	ga_s2bm_ard_3-2-1_52KEF_2020-03-25_final
2020-03-25 11:12:18	ga_s2bm_ard_3-2-1_52KDF_2020-03-25_final
2020-03-25 11:12:21	ga_s2bm_ard_3-2-1_52KCF_2020-03-25_final
2020-03-25 11:12:26	ga_s2bm_ard_3-2-1_52KFE_2020-03-25_final
2020-03-25 11:12:30	ga_s2bm_ard_3-2-1_52KEE_2020-03-25_final
2020-03-25 11:12:36	ga_s2bm_ard_3-2-1_52KCE_2020-03-25_final
2020-03-25 11:12:40	ga_s2bm_ard_3-2-1_52KFD_2020-03-25_final
2020-03-25 11:12:44	ga_s2bm_ard_3-2-1_52KED_2020-03-25_final
2020-03-25 11:12:47	ga_s2bm_ard_3-2-1_52KDD_2020-03-25_final
2020-03-25 11:12:51	ga_s2bm_ard_3-2-1_52KCD_2020-03-25_final
2020-03-25 11:13:13	ga_s2bm_ard_3-2-1_52KEB_2020-03-25_final
2020-03-25 11:13:17	ga_s2bm_ard_3-2-1_52KDB_2020-03-25_final
2020-03-25 11:13:20	ga_s2bm_ard_3-2-1_52KCB_2020-03-25_final
2020-03-25 11:13:27	ga_s2bm_ard_3-2-1_51KZS_2020-03-25_final
2020-03-25 11:13:38	ga_s2bm_ard_3-2-1_51KZR_2020-03-25_final
2020-03-25 11:13:52	ga_s2bm_ard_3-2-1_51KZQ_2020-03-25_final
2020-03-25 11:14:07	ga_s2bm_ard_3-2-1_51KZP_2020-03-25_final
2020-03-25 11:14:47	ga_s2bm_ard_3-2-1_52JCR_2020-03-25_final
2020-03-25 11:14:58	ga_s2bm_ard_3-2-1_52JDQ_2020-03-25_final
2020-03-25 11:15:05	ga_s2bm_ard_3-2-1_52JBQ_2020-03-25_final
2020-03-25 11:15:08	ga_s2bm_ard_3-2-1_51JYK_2020-03-25_final
2020-03-25 11:15:10	ga_s2bm_ard_3-2-1_52JDP_2020-03-25_final
2020-03-25 11:15:16	ga_s2bm_ard_3-2-1_52JCP_2020-03-25_final
2020-03-25 11:15:20	ga_s2bm_ard_3-2-1_52JBP_2020-03-25_final
2020-03-25 11:15:22	ga_s2bm_ard_3-2-1_51JYJ_2020-03-25_final
2020-03-25 11:15:31	ga_s2bm_ard_3-2-1_52JCN_2020-03-25_final
2020-03-25 11:15:34	ga_s2bm_ard_3-2-1_52JBN_2020-03-25_final
2020-03-25 11:15:37	ga_s2bm_ard_3-2-1_51JYH_2020-03-25_final
2020-03-25 11:15:40	ga_s2bm_ard_3-2-1_51JXH_2020-03-25_final
2020-03-25 11:16:03	ga_s2bm_ard_3-2-1_52JBL_2020-03-25_final
2020-03-25 11:16:06	ga_s2bm_ard_3-2-1_51JYF_2020-03-25_final
2020-03-25 11:16:10	ga_s2bm_ard_3-2-1_51JXF_2020-03-25_final
2020-03-25 11:16:18	ga_s2bm_ard_3-2-1_52HBK_2020-03-25_final
2020-03-25 11:16:20	ga_s2bm_ard_3-2-1_51HYE_2020-03-25_final
2020-03-25 11:16:28	ga_s2bm_ard_3-2-1_51HWE_2020-03-25_final
2020-03-25 11:16:42	ga_s2bm_ard_3-2-1_51HWD_2020-03-25_final

Return to ga_s2bm_ard_3 on 25th March 2020 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

2020

March

25th