Search ga_s2bm_ard_3 on 10th October 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
2019-10-10 09:41:31	ga_s2bm_ard_3-2-1_56KKG_2019-10-10_final.stac-item
2019-10-10 09:41:39	ga_s2bm_ard_3-2-1_56KMF_2019-10-10_final.stac-item
2019-10-10 09:41:42	ga_s2bm_ard_3-2-1_56KLF_2019-10-10_final
2019-10-10 09:41:46	ga_s2bm_ard_3-2-1_56KKF_2019-10-10_final
2019-10-10 09:41:57	ga_s2bm_ard_3-2-1_56KLE_2019-10-10_final
2019-10-10 09:42:37	ga_s2bm_ard_3-2-1_56KMB_2019-10-10_final.stac-item
2019-10-10 09:42:41	ga_s2bm_ard_3-2-1_56KLB_2019-10-10_final
2019-10-10 09:42:47	ga_s2bm_ard_3-2-1_55KGS_2019-10-10_final
2019-10-10 09:42:51	ga_s2bm_ard_3-2-1_56KMA_2019-10-10_final
2019-10-10 09:42:58	ga_s2bm_ard_3-2-1_56KKA_2019-10-10_final
2019-10-10 09:43:02	ga_s2bm_ard_3-2-1_55KGR_2019-10-10_final
2019-10-10 09:43:13	ga_s2bm_ard_3-2-1_56KKV_2019-10-10_final
2019-10-10 09:43:17	ga_s2bm_ard_3-2-1_55KGQ_2019-10-10_final
2019-10-10 09:43:28	ga_s2bm_ard_3-2-1_56KKU_2019-10-10_final
2019-10-10 09:43:31	ga_s2bm_ard_3-2-1_55KGP_2019-10-10_final
2019-10-10 09:43:39	ga_s2bm_ard_3-2-1_56JLT_2019-10-10_final
2019-10-10 09:43:42	ga_s2bm_ard_3-2-1_55JHN_2019-10-10_final
2019-10-10 09:43:42	ga_s2bm_ard_3-2-1_56JKT_2019-10-10_final
2019-10-10 09:43:46	ga_s2bm_ard_3-2-1_55JGN_2019-10-10_final
2019-10-10 09:43:49	ga_s2bm_ard_3-2-1_55JFN_2019-10-10_final
2019-10-10 09:43:53	ga_s2bm_ard_3-2-1_56JLS_2019-10-10_final
2019-10-10 09:44:04	ga_s2bm_ard_3-2-1_55JFM_2019-10-10_final
2019-10-10 09:44:11	ga_s2bm_ard_3-2-1_56JKR_2019-10-10_final
2019-10-10 09:44:15	ga_s2bm_ard_3-2-1_55JGL_2019-10-10_final
2019-10-10 09:44:33	ga_s2bm_ard_3-2-1_55JFK_2019-10-10_final
2019-10-10 09:44:50	ga_s2bm_ard_3-2-1_55JEJ_2019-10-10_final
2019-10-10 09:45:02	ga_s2bm_ard_3-2-1_55JFH_2019-10-10_final
2019-10-10 09:45:16	ga_s2bm_ard_3-2-1_55JFG_2019-10-10_final
2019-10-10 09:45:26	ga_s2bm_ard_3-2-1_55JGF_2019-10-10_final
2019-10-10 09:45:34	ga_s2bm_ard_3-2-1_55JEF_2019-10-10_final
2019-10-10 09:45:38	ga_s2bm_ard_3-2-1_55JDF_2019-10-10_final
2019-10-10 09:45:45	ga_s2bm_ard_3-2-1_55HFE_2019-10-10_final
2019-10-10 09:45:56	ga_s2bm_ard_3-2-1_55HGD_2019-10-10_final
2019-10-10 09:46:00	ga_s2bm_ard_3-2-1_55HFD_2019-10-10_final
2019-10-10 09:46:03	ga_s2bm_ard_3-2-1_55HED_2019-10-10_final
2019-10-10 09:46:08	ga_s2bm_ard_3-2-1_55HGC_2019-10-10_final
2019-10-10 09:46:14	ga_s2bm_ard_3-2-1_55HFC_2019-10-10_final
2019-10-10 09:46:18	ga_s2bm_ard_3-2-1_55HGB_2019-10-10_final
2019-10-10 09:46:32	ga_s2bm_ard_3-2-1_55HEB_2019-10-10_final
2019-10-10 09:46:36	ga_s2bm_ard_3-2-1_55HDB_2019-10-10_final
2019-10-10 09:46:47	ga_s2bm_ard_3-2-1_55HEA_2019-10-10_final
2019-10-10 09:46:50	ga_s2bm_ard_3-2-1_55HDA_2019-10-10_final
2019-10-10 09:47:00	ga_s2bm_ard_3-2-1_55HDV_2019-10-10_final
2019-10-10 09:47:01	ga_s2bm_ard_3-2-1_55HCV_2019-10-10_final
2019-10-10 09:47:07	ga_s2bm_ard_3-2-1_55HDV_2019-10-10_final
2019-10-10 09:47:09	ga_s2bm_ard_3-2-1_55HCV_2019-10-10_final
2019-10-10 09:47:20	ga_s2bm_ard_3-2-1_55HFT_2019-10-10_final.stac-item
2019-10-10 09:47:30	ga_s2bm_ard_3-2-1_55HET_2019-10-10_final
2019-10-10 09:47:34	ga_s2bm_ard_3-2-1_55HDT_2019-10-10_final
2019-10-10 09:47:37	ga_s2bm_ard_3-2-1_55HCT_2019-10-10_final
2019-10-10 09:47:41	ga_s2bm_ard_3-2-1_55HBT_2019-10-10_final
2019-10-10 09:47:44	ga_s2bm_ard_3-2-1_55HES_2019-10-10_final
2019-10-10 09:47:45	ga_s2bm_ard_3-2-1_54HYC_2019-10-10_final
2019-10-10 09:47:48	ga_s2bm_ard_3-2-1_55HDS_2019-10-10_final
2019-10-10 09:47:59	ga_s2bm_ard_3-2-1_55GER_2019-10-10_final
2019-10-10 09:48:03	ga_s2bm_ard_3-2-1_55GDR_2019-10-10_final
2019-10-10 09:48:06	ga_s2bm_ard_3-2-1_55GCR_2019-10-10_final
2019-10-10 09:48:10	ga_s2bm_ard_3-2-1_55GBR_2019-10-10_final
2019-10-10 09:48:10	ga_s2bm_ard_3-2-1_54GYA_2019-10-10_final
2019-10-10 09:48:12	ga_s2bm_ard_3-2-1_55GEQ_2019-10-10_final
2019-10-10 09:48:17	ga_s2bm_ard_3-2-1_55GDQ_2019-10-10_final
2019-10-10 09:48:21	ga_s2bm_ard_3-2-1_55GCQ_2019-10-10_final
2019-10-10 09:48:24	ga_s2bm_ard_3-2-1_55GBQ_2019-10-10_final.stac-item
2019-10-10 09:48:24	ga_s2bm_ard_3-2-1_54GYV_2019-10-10_final.stac-item
2019-10-10 11:20:59	ga_s2bm_ard_3-2-1_52LEL_2019-10-10_final.stac-item
2019-10-10 11:21:09	ga_s2bm_ard_3-2-1_52LEK_2019-10-10_final.stac-item
2019-10-10 11:21:33	ga_s2bm_ard_3-2-1_52LDJ_2019-10-10_final
2019-10-10 11:22:13	ga_s2bm_ard_3-2-1_52KDF_2019-10-10_final
2019-10-10 11:22:20	ga_s2bm_ard_3-2-1_52KCF_2019-10-10_final
2019-10-10 11:22:24	ga_s2bm_ard_3-2-1_51KZA_2019-10-10_final
2019-10-10 11:22:34	ga_s2bm_ard_3-2-1_52KCE_2019-10-10_final
2019-10-10 11:23:20	ga_s2bm_ard_3-2-1_51KYS_2019-10-10_final
2019-10-10 11:23:27	ga_s2bm_ard_3-2-1_51KYS_2019-10-10_final
2019-10-10 11:23:36	ga_s2bm_ard_3-2-1_52KBA_2019-10-10_final
2019-10-10 11:23:40	ga_s2bm_ard_3-2-1_51KYR_2019-10-10_final
2019-10-10 11:23:51	ga_s2bm_ard_3-2-1_52KBV_2019-10-10_final
2019-10-10 11:24:05	ga_s2bm_ard_3-2-1_51KZP_2019-10-10_final
2019-10-10 11:24:05	ga_s2bm_ard_3-2-1_52KBU_2019-10-10_final
2019-10-10 11:24:09	ga_s2bm_ard_3-2-1_51KYP_2019-10-10_final
2019-10-10 11:24:20	ga_s2bm_ard_3-2-1_51JZN_2019-10-10_final
2019-10-10 11:24:20	ga_s2bm_ard_3-2-1_52JBT_2019-10-10_final
2019-10-10 11:24:24	ga_s2bm_ard_3-2-1_51JYN_2019-10-10_final
2019-10-10 11:24:38	ga_s2bm_ard_3-2-1_51JYM_2019-10-10_final
2019-10-10 11:24:45	ga_s2bm_ard_3-2-1_52JBR_2019-10-10_final
2019-10-10 11:24:45	ga_s2bm_ard_3-2-1_51JWM_2019-10-10_final
2019-10-10 11:24:52	ga_s2bm_ard_3-2-1_51JYL_2019-10-10_final
2019-10-10 11:25:39	ga_s2bm_ard_3-2-1_51JXH_2019-10-10_final
2019-10-10 11:25:54	ga_s2bm_ard_3-2-1_51JXG_2019-10-10_final
2019-10-10 11:26:06	ga_s2bm_ard_3-2-1_51JUG_2019-10-10_final
2019-10-10 11:26:12	ga_s2bm_ard_3-2-1_51JWF_2019-10-10_final
2019-10-10 11:26:16	ga_s2bm_ard_3-2-1_51JVF_2019-10-10_final
2019-10-10 11:26:23	ga_s2bm_ard_3-2-1_51HXE_2019-10-10_final
2019-10-10 11:26:33	ga_s2bm_ard_3-2-1_51HUE_2019-10-10_final
2019-10-10 11:26:37	ga_s2bm_ard_3-2-1_51HXD_2019-10-10_final
2019-10-10 11:26:48	ga_s2bm_ard_3-2-1_51HUD_2019-10-10_final
2019-10-10 11:26:49	ga_s2bm_ard_3-2-1_51HXC_2019-10-10_final.stac-item
2019-10-10 11:26:55	ga_s2bm_ard_3-2-1_51HWC_2019-10-10_final.stac-item
2019-10-10 11:26:59	ga_s2bm_ard_3-2-1_51HVC_2019-10-10_final
2019-10-10 11:27:08	ga_s2bm_ard_3-2-1_51HTC_2019-10-10_final
2019-10-10 11:27:09	ga_s2bm_ard_3-2-1_51HWB_2019-10-10_final.stac-item

Return to ga_s2bm_ard_3 on 10th October 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

October

10th