Search ga_s2bm_ard_3 on 23rd November 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
2020-11-23 09:41:32	ga_s2bm_ard_3-2-1_55KHB_2020-11-23_final.stac-item
2020-11-23 09:41:45	ga_s2bm_ard_3-2-1_56KKF_2020-11-23_final
2020-11-23 09:42:37	ga_s2bm_ard_3-2-1_56KMB_2020-11-23_final.stac-item
2020-11-23 09:42:40	ga_s2bm_ard_3-2-1_56KLB_2020-11-23_final
2020-11-23 09:42:43	ga_s2bm_ard_3-2-1_56KKB_2020-11-23_final
2020-11-23 09:42:47	ga_s2bm_ard_3-2-1_55KGS_2020-11-23_final
2020-11-23 09:42:50	ga_s2bm_ard_3-2-1_56KMA_2020-11-23_final
2020-11-23 09:42:54	ga_s2bm_ard_3-2-1_56KLA_2020-11-23_final
2020-11-23 09:42:58	ga_s2bm_ard_3-2-1_56KKA_2020-11-23_final
2020-11-23 09:43:01	ga_s2bm_ard_3-2-1_55KGR_2020-11-23_final
2020-11-23 09:43:09	ga_s2bm_ard_3-2-1_56KLV_2020-11-23_final
2020-11-23 09:43:12	ga_s2bm_ard_3-2-1_56KKV_2020-11-23_final
2020-11-23 09:43:16	ga_s2bm_ard_3-2-1_55KGQ_2020-11-23_final
2020-11-23 09:43:23	ga_s2bm_ard_3-2-1_56KLU_2020-11-23_final
2020-11-23 09:43:27	ga_s2bm_ard_3-2-1_56KKU_2020-11-23_final
2020-11-23 09:43:30	ga_s2bm_ard_3-2-1_55KGP_2020-11-23_final
2020-11-23 09:43:35	ga_s2bm_ard_3-2-1_55KFP_2020-11-23_final
2020-11-23 09:43:38	ga_s2bm_ard_3-2-1_56JLT_2020-11-23_final
2020-11-23 09:43:45	ga_s2bm_ard_3-2-1_55JGN_2020-11-23_final
2020-11-23 09:43:48	ga_s2bm_ard_3-2-1_55JFN_2020-11-23_final
2020-11-23 09:43:56	ga_s2bm_ard_3-2-1_55JHM_2020-11-23_final
2020-11-23 09:43:56	ga_s2bm_ard_3-2-1_56JKS_2020-11-23_final
2020-11-23 09:43:59	ga_s2bm_ard_3-2-1_55JGM_2020-11-23_final
2020-11-23 09:44:03	ga_s2bm_ard_3-2-1_55JFM_2020-11-23_final
2020-11-23 09:44:10	ga_s2bm_ard_3-2-1_56JKR_2020-11-23_final
2020-11-23 09:44:14	ga_s2bm_ard_3-2-1_55JGL_2020-11-23_final
2020-11-23 09:44:17	ga_s2bm_ard_3-2-1_56JLQ_2020-11-23_final
2020-11-23 09:44:18	ga_s2bm_ard_3-2-1_55JFL_2020-11-23_final
2020-11-23 09:44:32	ga_s2bm_ard_3-2-1_55JFK_2020-11-23_final
2020-11-23 09:44:36	ga_s2bm_ard_3-2-1_55JEK_2020-11-23_final
2020-11-23 09:45:09	ga_s2bm_ard_3-2-1_56JKM_2020-11-23_final
2020-11-23 09:45:11	ga_s2bm_ard_3-2-1_55JGG_2020-11-23_final
2020-11-23 09:45:44	ga_s2bm_ard_3-2-1_55HFE_2020-11-23_final
2020-11-23 09:46:08	ga_s2bm_ard_3-2-1_55HGC_2020-11-23_final
2020-11-23 09:46:17	ga_s2bm_ard_3-2-1_55HEC_2020-11-23_final
2020-11-23 09:46:18	ga_s2bm_ard_3-2-1_55HGB_2020-11-23_final
2020-11-23 09:46:21	ga_s2bm_ard_3-2-1_55HDC_2020-11-23_final
2020-11-23 09:46:46	ga_s2bm_ard_3-2-1_55HEA_2020-11-23_final
2020-11-23 09:46:49	ga_s2bm_ard_3-2-1_55HDA_2020-11-23_final
2020-11-23 09:47:40	ga_s2bm_ard_3-2-1_55HES_2020-11-23_final
2020-11-23 09:47:42	ga_s2bm_ard_3-2-1_55HDS_2020-11-23_final
2020-11-23 09:47:44	ga_s2bm_ard_3-2-1_55HCS_2020-11-23_final
2020-11-23 09:47:46	ga_s2bm_ard_3-2-1_54HYB_2020-11-23_final
2020-11-23 09:47:47	ga_s2bm_ard_3-2-1_55HES_2020-11-23_final
2020-11-23 09:47:49	ga_s2bm_ard_3-2-1_55HDS_2020-11-23_final
2020-11-23 09:47:51	ga_s2bm_ard_3-2-1_55HCS_2020-11-23_final
2020-11-23 09:47:54	ga_s2bm_ard_3-2-1_55HBS_2020-11-23_final
2020-11-23 09:47:55	ga_s2bm_ard_3-2-1_54HYB_2020-11-23_final
2020-11-23 11:20:58	ga_s2bm_ard_3-2-1_52LEL_2020-11-23_final.stac-item
2020-11-23 11:21:08	ga_s2bm_ard_3-2-1_52LEK_2020-11-23_final.stac-item
2020-11-23 11:21:25	ga_s2bm_ard_3-2-1_52LCK_2020-11-23_final.stac-item
2020-11-23 11:21:36	ga_s2bm_ard_3-2-1_52LCJ_2020-11-23_final
2020-11-23 11:22:09	ga_s2bm_ard_3-2-1_51KZB_2020-11-23_final
2020-11-23 11:22:23	ga_s2bm_ard_3-2-1_52KBF_2020-11-23_final
2020-11-23 11:22:24	ga_s2bm_ard_3-2-1_51KZA_2020-11-23_final
2020-11-23 11:22:27	ga_s2bm_ard_3-2-1_51KYA_2020-11-23_final
2020-11-23 11:22:37	ga_s2bm_ard_3-2-1_52KBE_2020-11-23_final
2020-11-23 11:22:38	ga_s2bm_ard_3-2-1_51KZV_2020-11-23_final
2020-11-23 11:22:42	ga_s2bm_ard_3-2-1_51KYV_2020-11-23_final
2020-11-23 11:22:52	ga_s2bm_ard_3-2-1_52KBD_2020-11-23_final
2020-11-23 11:22:53	ga_s2bm_ard_3-2-1_51KZU_2020-11-23_final
2020-11-23 11:22:56	ga_s2bm_ard_3-2-1_51KYU_2020-11-23_final
2020-11-23 11:23:03	ga_s2bm_ard_3-2-1_52KCC_2020-11-23_final
2020-11-23 11:23:06	ga_s2bm_ard_3-2-1_52KBC_2020-11-23_final
2020-11-23 11:23:07	ga_s2bm_ard_3-2-1_51KZT_2020-11-23_final
2020-11-23 11:23:10	ga_s2bm_ard_3-2-1_51KYT_2020-11-23_final
2020-11-23 11:23:14	ga_s2bm_ard_3-2-1_51KXT_2020-11-23_final
2020-11-23 11:23:21	ga_s2bm_ard_3-2-1_52KBB_2020-11-23_final
2020-11-23 11:23:25	ga_s2bm_ard_3-2-1_51KYS_2020-11-23_final
2020-11-23 11:23:28	ga_s2bm_ard_3-2-1_52KCA_2020-11-23_final
2020-11-23 11:23:35	ga_s2bm_ard_3-2-1_52KBA_2020-11-23_final
2020-11-23 11:23:39	ga_s2bm_ard_3-2-1_51KYR_2020-11-23_final
2020-11-23 11:23:43	ga_s2bm_ard_3-2-1_51KXR_2020-11-23_final
2020-11-23 11:23:50	ga_s2bm_ard_3-2-1_52KBV_2020-11-23_final
2020-11-23 11:23:54	ga_s2bm_ard_3-2-1_51KYQ_2020-11-23_final
2020-11-23 11:23:57	ga_s2bm_ard_3-2-1_51KXQ_2020-11-23_final
2020-11-23 11:24:02	ga_s2bm_ard_3-2-1_51KWQ_2020-11-23_final
2020-11-23 11:24:05	ga_s2bm_ard_3-2-1_52KBU_2020-11-23_final
2020-11-23 11:24:08	ga_s2bm_ard_3-2-1_51KYP_2020-11-23_final
2020-11-23 11:24:12	ga_s2bm_ard_3-2-1_51KXP_2020-11-23_final
2020-11-23 11:24:15	ga_s2bm_ard_3-2-1_51KWP_2020-11-23_final
2020-11-23 11:24:19	ga_s2bm_ard_3-2-1_52JBT_2020-11-23_final
2020-11-23 11:24:23	ga_s2bm_ard_3-2-1_51JYN_2020-11-23_final
2020-11-23 11:24:27	ga_s2bm_ard_3-2-1_51JXN_2020-11-23_final
2020-11-23 11:24:33	ga_s2bm_ard_3-2-1_51JZM_2020-11-23_final
2020-11-23 11:24:33	ga_s2bm_ard_3-2-1_52JBS_2020-11-23_final
2020-11-23 11:24:37	ga_s2bm_ard_3-2-1_51JYM_2020-11-23_final
2020-11-23 11:24:44	ga_s2bm_ard_3-2-1_52JBR_2020-11-23_final
2020-11-23 11:24:44	ga_s2bm_ard_3-2-1_51JWM_2020-11-23_final
2020-11-23 11:24:51	ga_s2bm_ard_3-2-1_51JYL_2020-11-23_final
2020-11-23 11:25:10	ga_s2bm_ard_3-2-1_51JXK_2020-11-23_final
2020-11-23 11:25:13	ga_s2bm_ard_3-2-1_51JWK_2020-11-23_final
2020-11-23 11:25:17	ga_s2bm_ard_3-2-1_51JVK_2020-11-23_final
2020-11-23 11:25:45	ga_s2bm_ard_3-2-1_51JYG_2020-11-23_final
2020-11-23 11:26:22	ga_s2bm_ard_3-2-1_51HXE_2020-11-23_final
2020-11-23 11:26:33	ga_s2bm_ard_3-2-1_51HUE_2020-11-23_final
2020-11-23 11:26:55	ga_s2bm_ard_3-2-1_51HWC_2020-11-23_final.stac-item
2020-11-23 11:26:59	ga_s2bm_ard_3-2-1_51HVC_2020-11-23_final
2020-11-23 11:27:08	ga_s2bm_ard_3-2-1_51HTC_2020-11-23_final
2020-11-23 11:27:11	ga_s2bm_ard_3-2-1_51HVB_2020-11-23_final.stac-item

Return to ga_s2bm_ard_3 on 23rd November 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

November

23rd