Search ga_s2bm_ard_3 on 21st August 2019

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
2019-08-21 09:41:29	ga_s2bm_ard_3-2-1_56KMG_2019-08-21_final.stac-item
2019-08-21 09:41:32	ga_s2bm_ard_3-2-1_56KLG_2019-08-21_final.stac-item
2019-08-21 09:41:47	ga_s2bm_ard_3-2-1_56KLF_2019-08-21_final
2019-08-21 09:42:12	ga_s2bm_ard_3-2-1_56KMD_2019-08-21_final.stac-item
2019-08-21 09:42:16	ga_s2bm_ard_3-2-1_56KLD_2019-08-21_final
2019-08-21 09:42:59	ga_s2bm_ard_3-2-1_56KLA_2019-08-21_final
2019-08-21 09:43:18	ga_s2bm_ard_3-2-1_55KHQ_2019-08-21_final
2019-08-21 09:43:32	ga_s2bm_ard_3-2-1_55KHP_2019-08-21_final
2019-08-21 09:44:16	ga_s2bm_ard_3-2-1_56JKR_2019-08-21_final
2019-08-21 09:44:22	ga_s2bm_ard_3-2-1_56JLQ_2019-08-21_final
2019-08-21 09:44:29	ga_s2bm_ard_3-2-1_56JKQ_2019-08-21_final
2019-08-21 09:44:31	ga_s2bm_ard_3-2-1_55JGK_2019-08-21_final
2019-08-21 09:44:32	ga_s2bm_ard_3-2-1_55JFK_2019-08-21_final
2019-08-21 09:44:35	ga_s2bm_ard_3-2-1_56JKP_2019-08-21_final
2019-08-21 09:44:36	ga_s2bm_ard_3-2-1_56JKQ_2019-08-21_final
2019-08-21 09:44:37	ga_s2bm_ard_3-2-1_55JGK_2019-08-21_final
2019-08-21 09:44:39	ga_s2bm_ard_3-2-1_55JFK_2019-08-21_final
2019-08-21 09:44:45	ga_s2bm_ard_3-2-1_56JKP_2019-08-21_final
2019-08-21 09:44:48	ga_s2bm_ard_3-2-1_55JGJ_2019-08-21_final
2019-08-21 09:44:51	ga_s2bm_ard_3-2-1_55JFJ_2019-08-21_final
2019-08-21 09:45:10	ga_s2bm_ard_3-2-1_55JEH_2019-08-21_final
2019-08-21 09:45:17	ga_s2bm_ard_3-2-1_55JGG_2019-08-21_final
2019-08-21 09:45:35	ga_s2bm_ard_3-2-1_55JFF_2019-08-21_final
2019-08-21 09:45:38	ga_s2bm_ard_3-2-1_56HKK_2019-08-21_final
2019-08-21 09:45:39	ga_s2bm_ard_3-2-1_55JEF_2019-08-21_final
2019-08-21 09:45:43	ga_s2bm_ard_3-2-1_55JDF_2019-08-21_final
2019-08-21 09:45:46	ga_s2bm_ard_3-2-1_55HGE_2019-08-21_final
2019-08-21 09:45:49	ga_s2bm_ard_3-2-1_55HFE_2019-08-21_final
2019-08-21 09:46:04	ga_s2bm_ard_3-2-1_55HFD_2019-08-21_final
2019-08-21 09:46:08	ga_s2bm_ard_3-2-1_55HED_2019-08-21_final
2019-08-21 09:46:11	ga_s2bm_ard_3-2-1_55HDD_2019-08-21_final
2019-08-21 09:46:13	ga_s2bm_ard_3-2-1_55HGC_2019-08-21_final
2019-08-21 09:46:22	ga_s2bm_ard_3-2-1_55HEC_2019-08-21_final
2019-08-21 09:46:23	ga_s2bm_ard_3-2-1_55HGB_2019-08-21_final
2019-08-21 09:46:26	ga_s2bm_ard_3-2-1_55HDC_2019-08-21_final
2019-08-21 09:46:33	ga_s2bm_ard_3-2-1_55HFB_2019-08-21_final
2019-08-21 09:46:37	ga_s2bm_ard_3-2-1_55HEB_2019-08-21_final
2019-08-21 09:46:40	ga_s2bm_ard_3-2-1_55HDB_2019-08-21_final
2019-08-21 09:46:44	ga_s2bm_ard_3-2-1_55HCB_2019-08-21_final
2019-08-21 09:47:15	ga_s2bm_ard_3-2-1_55HFU_2019-08-21_final.stac-item
2019-08-21 09:47:20	ga_s2bm_ard_3-2-1_55HEU_2019-08-21_final
2019-08-21 09:47:24	ga_s2bm_ard_3-2-1_55HDU_2019-08-21_final
2019-08-21 09:47:27	ga_s2bm_ard_3-2-1_55HCU_2019-08-21_final
2019-08-21 09:47:35	ga_s2bm_ard_3-2-1_55HBU_2019-08-21_final
2019-08-21 09:47:49	ga_s2bm_ard_3-2-1_55HES_2019-08-21_final
2019-08-21 09:47:53	ga_s2bm_ard_3-2-1_55HDS_2019-08-21_final
2019-08-21 09:47:56	ga_s2bm_ard_3-2-1_55HCS_2019-08-21_final
2019-08-21 09:47:59	ga_s2bm_ard_3-2-1_55HBS_2019-08-21_final
2019-08-21 09:48:00	ga_s2bm_ard_3-2-1_54HYB_2019-08-21_final
2019-08-21 09:48:27	ga_s2bm_ard_3-2-1_55GEP_2019-08-21_final
2019-08-21 09:48:36	ga_s2bm_ard_3-2-1_55GDP_2019-08-21_final
2019-08-21 09:48:40	ga_s2bm_ard_3-2-1_55GCP_2019-08-21_final
2019-08-21 09:48:51	ga_s2bm_ard_3-2-1_55GDN_2019-08-21_final
2019-08-21 09:48:54	ga_s2bm_ard_3-2-1_55GCN_2019-08-21_final
2019-08-21 09:49:05	ga_s2bm_ard_3-2-1_55GDM_2019-08-21_final.stac-item
2019-08-21 09:49:07	ga_s2bm_ard_3-2-1_55GCM_2019-08-21_final.stac-item
2019-08-21 11:21:13	ga_s2bm_ard_3-2-1_52LEK_2019-08-21_final.stac-item
2019-08-21 11:21:30	ga_s2bm_ard_3-2-1_52LBK_2019-08-21_final
2019-08-21 11:21:31	ga_s2bm_ard_3-2-1_51LZE_2019-08-21_final
2019-08-21 11:21:56	ga_s2bm_ard_3-2-1_52LCH_2019-08-21_final
2019-08-21 11:21:59	ga_s2bm_ard_3-2-1_52LBH_2019-08-21_final
2019-08-21 11:22:00	ga_s2bm_ard_3-2-1_51LZC_2019-08-21_final
2019-08-21 11:22:04	ga_s2bm_ard_3-2-1_51LYC_2019-08-21_final
2019-08-21 11:22:06	ga_s2bm_ard_3-2-1_52KDG_2019-08-21_final
2019-08-21 11:22:10	ga_s2bm_ard_3-2-1_52KCG_2019-08-21_final
2019-08-21 11:22:24	ga_s2bm_ard_3-2-1_52KCF_2019-08-21_final
2019-08-21 11:22:42	ga_s2bm_ard_3-2-1_52KBE_2019-08-21_final
2019-08-21 11:22:43	ga_s2bm_ard_3-2-1_51KZV_2019-08-21_final
2019-08-21 11:22:47	ga_s2bm_ard_3-2-1_51KYV_2019-08-21_final
2019-08-21 11:22:54	ga_s2bm_ard_3-2-1_52KCD_2019-08-21_final
2019-08-21 11:23:06	ga_s2bm_ard_3-2-1_51KXU_2019-08-21_final
2019-08-21 11:23:33	ga_s2bm_ard_3-2-1_52KCA_2019-08-21_final
2019-08-21 11:23:33	ga_s2bm_ard_3-2-1_51KXS_2019-08-21_final
2019-08-21 11:23:48	ga_s2bm_ard_3-2-1_51KXR_2019-08-21_final
2019-08-21 11:23:55	ga_s2bm_ard_3-2-1_51KZQ_2019-08-21_final
2019-08-21 11:24:07	ga_s2bm_ard_3-2-1_51KWQ_2019-08-21_final
2019-08-21 11:24:10	ga_s2bm_ard_3-2-1_51KZP_2019-08-21_final
2019-08-21 11:24:20	ga_s2bm_ard_3-2-1_51KWP_2019-08-21_final
2019-08-21 11:24:49	ga_s2bm_ard_3-2-1_52JBR_2019-08-21_final
2019-08-21 11:25:11	ga_s2bm_ard_3-2-1_51JYK_2019-08-21_final
2019-08-21 11:25:15	ga_s2bm_ard_3-2-1_51JXK_2019-08-21_final
2019-08-21 11:25:26	ga_s2bm_ard_3-2-1_51JYJ_2019-08-21_final
2019-08-21 11:25:30	ga_s2bm_ard_3-2-1_51JXJ_2019-08-21_final
2019-08-21 11:25:58	ga_s2bm_ard_3-2-1_51JXG_2019-08-21_final
2019-08-21 11:26:13	ga_s2bm_ard_3-2-1_51JXF_2019-08-21_final
2019-08-21 11:26:17	ga_s2bm_ard_3-2-1_51JWF_2019-08-21_final
2019-08-21 11:26:20	ga_s2bm_ard_3-2-1_51JVF_2019-08-21_final
2019-08-21 11:26:23	ga_s2bm_ard_3-2-1_51JUF_2019-08-21_final
2019-08-21 11:26:27	ga_s2bm_ard_3-2-1_51HXE_2019-08-21_final
2019-08-21 11:26:31	ga_s2bm_ard_3-2-1_51HWE_2019-08-21_final
2019-08-21 11:26:35	ga_s2bm_ard_3-2-1_51HVE_2019-08-21_final
2019-08-21 11:26:41	ga_s2bm_ard_3-2-1_51HXD_2019-08-21_final
2019-08-21 11:26:46	ga_s2bm_ard_3-2-1_51HWD_2019-08-21_final
2019-08-21 11:26:49	ga_s2bm_ard_3-2-1_51HVD_2019-08-21_final
2019-08-21 11:26:53	ga_s2bm_ard_3-2-1_51HUD_2019-08-21_final
2019-08-21 11:27:00	ga_s2bm_ard_3-2-1_51HWC_2019-08-21_final.stac-item
2019-08-21 11:27:04	ga_s2bm_ard_3-2-1_51HVC_2019-08-21_final
2019-08-21 11:27:13	ga_s2bm_ard_3-2-1_51HTC_2019-08-21_final
2019-08-21 11:27:16	ga_s2bm_ard_3-2-1_51HVB_2019-08-21_final.stac-item
2019-08-21 11:27:18	ga_s2bm_ard_3-2-1_51HUB_2019-08-21_final.stac-item

Return to ga_s2bm_ard_3 on 21st August 2019 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

2019

August

21st