Search ga_s2bm_ard_3 on 13th 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
2019-10-13 09:51:13	ga_s2bm_ard_3-2-1_55LHC_2019-10-13_final.stac-item
2019-10-13 09:51:17	ga_s2bm_ard_3-2-1_55LGC_2019-10-13_final
2019-10-13 09:51:20	ga_s2bm_ard_3-2-1_55LFC_2019-10-13_final
2019-10-13 09:51:26	ga_s2bm_ard_3-2-1_56KKG_2019-10-13_final.stac-item
2019-10-13 09:51:49	ga_s2bm_ard_3-2-1_55KFA_2019-10-13_final
2019-10-13 09:52:07	ga_s2bm_ard_3-2-1_55KEV_2019-10-13_final
2019-10-13 09:52:18	ga_s2bm_ard_3-2-1_55KFU_2019-10-13_final
2019-10-13 09:52:21	ga_s2bm_ard_3-2-1_55KEU_2019-10-13_final
2019-10-13 09:52:32	ga_s2bm_ard_3-2-1_55KFT_2019-10-13_final
2019-10-13 09:53:02	ga_s2bm_ard_3-2-1_55KFR_2019-10-13_final
2019-10-13 09:53:19	ga_s2bm_ard_3-2-1_55KEQ_2019-10-13_final
2019-10-13 09:53:22	ga_s2bm_ard_3-2-1_55KDQ_2019-10-13_final
2019-10-13 09:53:34	ga_s2bm_ard_3-2-1_55KEP_2019-10-13_final
2019-10-13 09:53:37	ga_s2bm_ard_3-2-1_55KDP_2019-10-13_final
2019-10-13 09:53:48	ga_s2bm_ard_3-2-1_55JEN_2019-10-13_final
2019-10-13 09:53:52	ga_s2bm_ard_3-2-1_55JDN_2019-10-13_final
2019-10-13 09:53:59	ga_s2bm_ard_3-2-1_55JCN_2019-10-13_final
2019-10-13 09:54:10	ga_s2bm_ard_3-2-1_55JCM_2019-10-13_final
2019-10-13 09:54:28	ga_s2bm_ard_3-2-1_55JFK_2019-10-13_final
2019-10-13 09:54:32	ga_s2bm_ard_3-2-1_55JEK_2019-10-13_final
2019-10-13 09:54:36	ga_s2bm_ard_3-2-1_55JDK_2019-10-13_final
2019-10-13 09:54:39	ga_s2bm_ard_3-2-1_55JCK_2019-10-13_final
2019-10-13 09:55:22	ga_s2bm_ard_3-2-1_55JCG_2019-10-13_final
2019-10-13 09:55:30	ga_s2bm_ard_3-2-1_55JEF_2019-10-13_final
2019-10-13 09:55:34	ga_s2bm_ard_3-2-1_55JDF_2019-10-13_final
2019-10-13 09:55:37	ga_s2bm_ard_3-2-1_55JCF_2019-10-13_final
2019-10-13 09:55:44	ga_s2bm_ard_3-2-1_55HEE_2019-10-13_final
2019-10-13 09:55:48	ga_s2bm_ard_3-2-1_55HDE_2019-10-13_final
2019-10-13 09:55:51	ga_s2bm_ard_3-2-1_55HCE_2019-10-13_final
2019-10-13 09:55:55	ga_s2bm_ard_3-2-1_55HBE_2019-10-13_final
2019-10-13 09:55:58	ga_s2bm_ard_3-2-1_54HYK_2019-10-13_final
2019-10-13 09:56:02	ga_s2bm_ard_3-2-1_55HDD_2019-10-13_final
2019-10-13 09:56:09	ga_s2bm_ard_3-2-1_55HBD_2019-10-13_final
2019-10-13 09:56:11	ga_s2bm_ard_3-2-1_54HYJ_2019-10-13_final
2019-10-13 09:56:21	ga_s2bm_ard_3-2-1_55HCC_2019-10-13_final
2019-10-13 09:56:24	ga_s2bm_ard_3-2-1_55HBC_2019-10-13_final
2019-10-13 09:56:38	ga_s2bm_ard_3-2-1_55HBB_2019-10-13_final
2019-10-13 09:56:40	ga_s2bm_ard_3-2-1_54HYG_2019-10-13_final
2019-10-13 09:56:46	ga_s2bm_ard_3-2-1_55HDA_2019-10-13_final
2019-10-13 09:57:33	ga_s2bm_ard_3-2-1_55HCT_2019-10-13_final
2019-10-13 09:57:37	ga_s2bm_ard_3-2-1_55HBT_2019-10-13_final
2019-10-13 09:57:38	ga_s2bm_ard_3-2-1_54HYC_2019-10-13_final
2019-10-13 09:57:42	ga_s2bm_ard_3-2-1_54HXC_2019-10-13_final
2019-10-13 09:57:47	ga_s2bm_ard_3-2-1_54HWC_2019-10-13_final
2019-10-13 09:57:48	ga_s2bm_ard_3-2-1_55HCS_2019-10-13_final
2019-10-13 09:57:51	ga_s2bm_ard_3-2-1_55HBS_2019-10-13_final
2019-10-13 11:31:19	ga_s2bm_ard_3-2-1_52LBK_2019-10-13_final
2019-10-13 11:31:22	ga_s2bm_ard_3-2-1_51LZE_2019-10-13_final
2019-10-13 11:31:25	ga_s2bm_ard_3-2-1_51LYE_2019-10-13_final
2019-10-13 11:31:43	ga_s2bm_ard_3-2-1_51LXD_2019-10-13_final
2019-10-13 11:31:50	ga_s2bm_ard_3-2-1_51LZC_2019-10-13_final
2019-10-13 11:31:54	ga_s2bm_ard_3-2-1_51LYC_2019-10-13_final
2019-10-13 11:31:58	ga_s2bm_ard_3-2-1_51LXC_2019-10-13_final
2019-10-13 11:32:00	ga_s2bm_ard_3-2-1_51KZB_2019-10-13_final
2019-10-13 11:32:01	ga_s2bm_ard_3-2-1_51LWC_2019-10-13_final
2019-10-13 11:32:08	ga_s2bm_ard_3-2-1_51KYB_2019-10-13_final
2019-10-13 11:32:16	ga_s2bm_ard_3-2-1_51KWB_2019-10-13_final
2019-10-13 11:32:21	ga_s2bm_ard_3-2-1_51KVB_2019-10-13_final
2019-10-13 11:32:27	ga_s2bm_ard_3-2-1_51KXA_2019-10-13_final
2019-10-13 11:32:30	ga_s2bm_ard_3-2-1_51KWA_2019-10-13_final
2019-10-13 11:32:33	ga_s2bm_ard_3-2-1_51KVA_2019-10-13_final
2019-10-13 11:32:41	ga_s2bm_ard_3-2-1_51KXV_2019-10-13_final
2019-10-13 11:32:45	ga_s2bm_ard_3-2-1_51KWV_2019-10-13_final
2019-10-13 11:32:48	ga_s2bm_ard_3-2-1_51KVV_2019-10-13_final
2019-10-13 11:32:56	ga_s2bm_ard_3-2-1_51KXU_2019-10-13_final
2019-10-13 11:32:59	ga_s2bm_ard_3-2-1_51KWU_2019-10-13_final
2019-10-13 11:33:03	ga_s2bm_ard_3-2-1_51KVU_2019-10-13_final
2019-10-13 11:33:10	ga_s2bm_ard_3-2-1_51KXT_2019-10-13_final
2019-10-13 11:33:23	ga_s2bm_ard_3-2-1_51KUT_2019-10-13_final
2019-10-13 11:33:57	ga_s2bm_ard_3-2-1_51KWQ_2019-10-13_final
2019-10-13 11:34:01	ga_s2bm_ard_3-2-1_51KVQ_2019-10-13_final
2019-10-13 11:34:15	ga_s2bm_ard_3-2-1_51KVP_2019-10-13_final
2019-10-13 11:34:17	ga_s2bm_ard_3-2-1_51JXN_2019-10-13_final
2019-10-13 11:34:26	ga_s2bm_ard_3-2-1_51JWN_2019-10-13_final
2019-10-13 11:34:30	ga_s2bm_ard_3-2-1_51JVN_2019-10-13_final
2019-10-13 11:34:33	ga_s2bm_ard_3-2-1_51JUN_2019-10-13_final
2019-10-13 11:34:38	ga_s2bm_ard_3-2-1_50JRT_2019-10-13_final
2019-10-13 11:34:47	ga_s2bm_ard_3-2-1_51JUM_2019-10-13_final
2019-10-13 11:34:50	ga_s2bm_ard_3-2-1_50JRS_2019-10-13_final
2019-10-13 11:35:05	ga_s2bm_ard_3-2-1_51JTL_2019-10-13_final
2019-10-13 11:35:09	ga_s2bm_ard_3-2-1_51JWK_2019-10-13_final
2019-10-13 11:35:13	ga_s2bm_ard_3-2-1_51JVK_2019-10-13_final
2019-10-13 11:35:17	ga_s2bm_ard_3-2-1_51JUK_2019-10-13_final
2019-10-13 11:35:20	ga_s2bm_ard_3-2-1_51JTK_2019-10-13_final
2019-10-13 11:36:00	ga_s2bm_ard_3-2-1_51JUG_2019-10-13_final
2019-10-13 11:36:06	ga_s2bm_ard_3-2-1_50JQM_2019-10-13_final
2019-10-13 11:36:11	ga_s2bm_ard_3-2-1_51JVF_2019-10-13_final
2019-10-13 11:36:25	ga_s2bm_ard_3-2-1_51HVE_2019-10-13_final
2019-10-13 11:36:28	ga_s2bm_ard_3-2-1_50JPL_2019-10-13_final
2019-10-13 11:36:29	ga_s2bm_ard_3-2-1_51HUE_2019-10-13_final
2019-10-13 11:36:33	ga_s2bm_ard_3-2-1_51HTE_2019-10-13_final
2019-10-13 11:36:35	ga_s2bm_ard_3-2-1_51HVD_2019-10-13_final
2019-10-13 11:36:35	ga_s2bm_ard_3-2-1_50HQK_2019-10-13_final
2019-10-13 11:36:47	ga_s2bm_ard_3-2-1_51HTD_2019-10-13_final
2019-10-13 11:36:49	ga_s2bm_ard_3-2-1_50HQJ_2019-10-13_final
2019-10-13 11:36:58	ga_s2bm_ard_3-2-1_51HUC_2019-10-13_final
2019-10-13 11:37:02	ga_s2bm_ard_3-2-1_51HTC_2019-10-13_final
2019-10-13 11:37:04	ga_s2bm_ard_3-2-1_50HQH_2019-10-13_final
2019-10-13 11:37:08	ga_s2bm_ard_3-2-1_50HPH_2019-10-13_final
2019-10-13 11:37:17	ga_s2bm_ard_3-2-1_51HTB_2019-10-13_final.stac-item

Return to ga_s2bm_ard_3 on 13th 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

13th