Search ga_s2bm_ard_3 on 12th November 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
2019-11-12 09:51:11	ga_s2bm_ard_3-2-1_55LHC_2019-11-12_final.stac-item
2019-11-12 09:51:15	ga_s2bm_ard_3-2-1_55LGC_2019-11-12_final
2019-11-12 09:51:24	ga_s2bm_ard_3-2-1_56KKG_2019-11-12_final.stac-item
2019-11-12 09:51:29	ga_s2bm_ard_3-2-1_55KGB_2019-11-12_final
2019-11-12 09:51:33	ga_s2bm_ard_3-2-1_55KFB_2019-11-12_final
2019-11-12 09:51:47	ga_s2bm_ard_3-2-1_55KFA_2019-11-12_final
2019-11-12 09:52:13	ga_s2bm_ard_3-2-1_55KGU_2019-11-12_final
2019-11-12 09:52:16	ga_s2bm_ard_3-2-1_55KFU_2019-11-12_final
2019-11-12 09:52:19	ga_s2bm_ard_3-2-1_55KEU_2019-11-12_final
2019-11-12 09:52:34	ga_s2bm_ard_3-2-1_55KHS_2019-11-12_final
2019-11-12 09:52:41	ga_s2bm_ard_3-2-1_55KGS_2019-11-12_final
2019-11-12 09:53:00	ga_s2bm_ard_3-2-1_55KFR_2019-11-12_final
2019-11-12 09:53:10	ga_s2bm_ard_3-2-1_55KGQ_2019-11-12_final
2019-11-12 09:53:17	ga_s2bm_ard_3-2-1_55KEQ_2019-11-12_final
2019-11-12 09:53:20	ga_s2bm_ard_3-2-1_55KDQ_2019-11-12_final
2019-11-12 09:53:28	ga_s2bm_ard_3-2-1_55KFP_2019-11-12_final
2019-11-12 09:53:32	ga_s2bm_ard_3-2-1_55KEP_2019-11-12_final
2019-11-12 09:53:35	ga_s2bm_ard_3-2-1_55KDP_2019-11-12_final
2019-11-12 09:53:43	ga_s2bm_ard_3-2-1_55JFN_2019-11-12_final
2019-11-12 09:53:47	ga_s2bm_ard_3-2-1_55JEN_2019-11-12_final
2019-11-12 09:53:50	ga_s2bm_ard_3-2-1_55JDN_2019-11-12_final
2019-11-12 09:54:08	ga_s2bm_ard_3-2-1_55JCM_2019-11-12_final
2019-11-12 09:54:44	ga_s2bm_ard_3-2-1_55JEJ_2019-11-12_final
2019-11-12 09:54:48	ga_s2bm_ard_3-2-1_55JDJ_2019-11-12_final
2019-11-12 09:55:28	ga_s2bm_ard_3-2-1_55JEF_2019-11-12_final
2019-11-12 09:55:32	ga_s2bm_ard_3-2-1_55JDF_2019-11-12_final
2019-11-12 09:55:38	ga_s2bm_ard_3-2-1_55JBF_2019-11-12_final
2019-11-12 09:55:49	ga_s2bm_ard_3-2-1_55HCE_2019-11-12_final
2019-11-12 09:55:53	ga_s2bm_ard_3-2-1_55HED_2019-11-12_final
2019-11-12 09:56:04	ga_s2bm_ard_3-2-1_55HCD_2019-11-12_final
2019-11-12 09:56:07	ga_s2bm_ard_3-2-1_55HBD_2019-11-12_final
2019-11-12 09:56:09	ga_s2bm_ard_3-2-1_54HYJ_2019-11-12_final
2019-11-12 09:56:15	ga_s2bm_ard_3-2-1_55HDC_2019-11-12_final
2019-11-12 09:56:22	ga_s2bm_ard_3-2-1_55HBC_2019-11-12_final
2019-11-12 09:56:24	ga_s2bm_ard_3-2-1_54HYH_2019-11-12_final
2019-11-12 09:56:30	ga_s2bm_ard_3-2-1_55HDB_2019-11-12_final
2019-11-12 09:56:36	ga_s2bm_ard_3-2-1_55HBB_2019-11-12_final
2019-11-12 09:56:44	ga_s2bm_ard_3-2-1_55HDA_2019-11-12_final
2019-11-12 09:56:57	ga_s2bm_ard_3-2-1_55HDV_2019-11-12_final
2019-11-12 09:57:02	ga_s2bm_ard_3-2-1_55HCV_2019-11-12_final
2019-11-12 09:57:06	ga_s2bm_ard_3-2-1_55HBV_2019-11-12_final
2019-11-12 09:57:07	ga_s2bm_ard_3-2-1_54HYE_2019-11-12_final
2019-11-12 09:57:11	ga_s2bm_ard_3-2-1_54HXE_2019-11-12_final
2019-11-12 09:57:46	ga_s2bm_ard_3-2-1_55HCS_2019-11-12_final
2019-11-12 09:57:49	ga_s2bm_ard_3-2-1_55HBS_2019-11-12_final
2019-11-12 09:57:50	ga_s2bm_ard_3-2-1_54HYB_2019-11-12_final
2019-11-12 09:58:00	ga_s2bm_ard_3-2-1_55GCR_2019-11-12_final
2019-11-12 09:58:04	ga_s2bm_ard_3-2-1_55GBR_2019-11-12_final
2019-11-12 09:58:04	ga_s2bm_ard_3-2-1_54GYA_2019-11-12_final
2019-11-12 09:58:13	ga_s2bm_ard_3-2-1_55GCQ_2019-11-12_final
2019-11-12 09:58:18	ga_s2bm_ard_3-2-1_55GBQ_2019-11-12_final.stac-item
2019-11-12 09:58:19	ga_s2bm_ard_3-2-1_54GYV_2019-11-12_final.stac-item
2019-11-12 09:58:23	ga_s2bm_ard_3-2-1_55GCP_2019-11-12_final
2019-11-12 11:31:28	ga_s2bm_ard_3-2-1_52LBJ_2019-11-12_final
2019-11-12 11:31:41	ga_s2bm_ard_3-2-1_51LXD_2019-11-12_final
2019-11-12 11:31:48	ga_s2bm_ard_3-2-1_51LZC_2019-11-12_final
2019-11-12 11:31:52	ga_s2bm_ard_3-2-1_51LYC_2019-11-12_final
2019-11-12 11:31:56	ga_s2bm_ard_3-2-1_51LXC_2019-11-12_final
2019-11-12 11:32:07	ga_s2bm_ard_3-2-1_51KYB_2019-11-12_final
2019-11-12 11:32:10	ga_s2bm_ard_3-2-1_51KXB_2019-11-12_final
2019-11-12 11:32:25	ga_s2bm_ard_3-2-1_51KXA_2019-11-12_final
2019-11-12 11:32:28	ga_s2bm_ard_3-2-1_51KWA_2019-11-12_final
2019-11-12 11:32:31	ga_s2bm_ard_3-2-1_51KVA_2019-11-12_final
2019-11-12 11:32:50	ga_s2bm_ard_3-2-1_51KYU_2019-11-12_final
2019-11-12 11:32:54	ga_s2bm_ard_3-2-1_51KXU_2019-11-12_final
2019-11-12 11:32:57	ga_s2bm_ard_3-2-1_51KWU_2019-11-12_final
2019-11-12 11:33:01	ga_s2bm_ard_3-2-1_51KVU_2019-11-12_final
2019-11-12 11:33:01	ga_s2bm_ard_3-2-1_51KYT_2019-11-12_final
2019-11-12 11:33:23	ga_s2bm_ard_3-2-1_51KXS_2019-11-12_final
2019-11-12 11:33:26	ga_s2bm_ard_3-2-1_51KWS_2019-11-12_final
2019-11-12 11:33:30	ga_s2bm_ard_3-2-1_51KVS_2019-11-12_final
2019-11-12 11:33:33	ga_s2bm_ard_3-2-1_51KUS_2019-11-12_final
2019-11-12 11:33:37	ga_s2bm_ard_3-2-1_51KXR_2019-11-12_final
2019-11-12 11:33:55	ga_s2bm_ard_3-2-1_51KWQ_2019-11-12_final
2019-11-12 11:33:59	ga_s2bm_ard_3-2-1_51KVQ_2019-11-12_final
2019-11-12 11:34:05	ga_s2bm_ard_3-2-1_51KXP_2019-11-12_final
2019-11-12 11:34:10	ga_s2bm_ard_3-2-1_51KWP_2019-11-12_final
2019-11-12 11:34:13	ga_s2bm_ard_3-2-1_51KVP_2019-11-12_final
2019-11-12 11:34:15	ga_s2bm_ard_3-2-1_51JXN_2019-11-12_final
2019-11-12 11:34:17	ga_s2bm_ard_3-2-1_51KUP_2019-11-12_final
2019-11-12 11:34:24	ga_s2bm_ard_3-2-1_51JWN_2019-11-12_final
2019-11-12 11:34:28	ga_s2bm_ard_3-2-1_51JVN_2019-11-12_final
2019-11-12 11:34:31	ga_s2bm_ard_3-2-1_51JUN_2019-11-12_final
2019-11-12 11:34:39	ga_s2bm_ard_3-2-1_51JWM_2019-11-12_final
2019-11-12 11:34:42	ga_s2bm_ard_3-2-1_51JVM_2019-11-12_final
2019-11-12 11:34:45	ga_s2bm_ard_3-2-1_51JUM_2019-11-12_final
2019-11-12 11:34:48	ga_s2bm_ard_3-2-1_50JRS_2019-11-12_final
2019-11-12 11:35:18	ga_s2bm_ard_3-2-1_51JWJ_2019-11-12_final
2019-11-12 11:35:26	ga_s2bm_ard_3-2-1_51JVJ_2019-11-12_final
2019-11-12 11:35:44	ga_s2bm_ard_3-2-1_51JUH_2019-11-12_final
2019-11-12 11:36:09	ga_s2bm_ard_3-2-1_51JVF_2019-11-12_final
2019-11-12 11:36:16	ga_s2bm_ard_3-2-1_51JVF_2019-11-12_final
2019-11-12 11:36:27	ga_s2bm_ard_3-2-1_51HUE_2019-11-12_final
2019-11-12 11:36:33	ga_s2bm_ard_3-2-1_51HVD_2019-11-12_final
2019-11-12 11:36:42	ga_s2bm_ard_3-2-1_51HUD_2019-11-12_final
2019-11-12 11:36:46	ga_s2bm_ard_3-2-1_51HTD_2019-11-12_final
2019-11-12 11:36:47	ga_s2bm_ard_3-2-1_50HQJ_2019-11-12_final
2019-11-12 11:36:51	ga_s2bm_ard_3-2-1_50HPJ_2019-11-12_final
2019-11-12 11:37:00	ga_s2bm_ard_3-2-1_51HTC_2019-11-12_final
2019-11-12 11:37:02	ga_s2bm_ard_3-2-1_50HQH_2019-11-12_final

Return to ga_s2bm_ard_3 on 12th November 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

November

12th