Search ga_s2bm_ard_3 across 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
2019-08-01 09:46:06	ga_s2bm_ard_3-2-1_55HFD_2019-08-01_final
2019-08-01 09:46:54	ga_s2bm_ard_3-2-1_55HEA_2019-08-01_final
2019-08-01 11:22:59	ga_s2bm_ard_3-2-1_52KBD_2019-08-01_final
2019-08-01 11:23:00	ga_s2bm_ard_3-2-1_51KZU_2019-08-01_final
2019-08-01 11:23:04	ga_s2bm_ard_3-2-1_51KYU_2019-08-01_final
2019-08-01 11:24:34	ga_s2bm_ard_3-2-1_51JXN_2019-08-01_final
2019-08-01 11:26:55	ga_s2bm_ard_3-2-1_51HXC_2019-08-01_final.stac-item
2019-08-01 11:27:22	ga_s2bm_ard_3-2-1_51HTB_2019-08-01_final.stac-item
2019-08-02 10:52:52	ga_s2bm_ard_3-2-1_52KHD_2019-08-02_final
2019-08-03 10:26:54	ga_s2bm_ard_3-2-1_53HQB_2019-08-03_final
2019-08-04 09:52:21	ga_s2bm_ard_3-2-1_55KGU_2019-08-04_final
2019-08-04 09:56:45	ga_s2bm_ard_3-2-1_55HBB_2019-08-04_final
2019-08-04 11:32:52	ga_s2bm_ard_3-2-1_51KYU_2019-08-04_final
2019-08-04 11:32:58	ga_s2bm_ard_3-2-1_51KYU_2019-08-04_final
2019-08-04 11:34:23	ga_s2bm_ard_3-2-1_51JXN_2019-08-04_final
2019-08-04 11:36:54	ga_s2bm_ard_3-2-1_51HTD_2019-08-04_final
2019-08-04 11:36:56	ga_s2bm_ard_3-2-1_50HQJ_2019-08-04_final
2019-08-04 11:37:23	ga_s2bm_ard_3-2-1_51HTB_2019-08-04_final.stac-item
2019-08-05 11:02:52	ga_s2bm_ard_3-2-1_52KGD_2019-08-05_final
2019-08-05 11:06:44	ga_s2bm_ard_3-2-1_51HYD_2019-08-05_final
2019-08-07 10:06:40	ga_s2bm_ard_3-2-1_55HBB_2019-08-07_final
2019-08-07 10:06:42	ga_s2bm_ard_3-2-1_54HYG_2019-08-07_final
2019-08-07 11:43:11	ga_s2bm_ard_3-2-1_51KTU_2019-08-07_final
2019-08-07 11:43:11	ga_s2bm_ard_3-2-1_50KRD_2019-08-07_final
2019-08-07 11:46:50	ga_s2bm_ard_3-2-1_50HQJ_2019-08-07_final
2019-08-08 09:36:09	ga_s2bm_ard_3-2-1_55HFD_2019-08-08_final
2019-08-08 09:36:58	ga_s2bm_ard_3-2-1_55HEA_2019-08-08_final
2019-08-08 11:16:44	ga_s2bm_ard_3-2-1_51HYD_2019-08-08_final
2019-08-10 10:16:59	ga_s2bm_ard_3-2-1_53HQB_2019-08-10_final
2019-08-10 11:53:01	ga_s2bm_ard_3-2-1_51KTU_2019-08-10_final
2019-08-10 11:53:06	ga_s2bm_ard_3-2-1_50KRD_2019-08-10_final
2019-08-11 09:46:05	ga_s2bm_ard_3-2-1_55HFD_2019-08-11_final
2019-08-11 09:46:52	ga_s2bm_ard_3-2-1_55HEA_2019-08-11_final
2019-08-11 11:22:58	ga_s2bm_ard_3-2-1_52KBD_2019-08-11_final
2019-08-11 11:22:59	ga_s2bm_ard_3-2-1_51KZU_2019-08-11_final
2019-08-11 11:23:03	ga_s2bm_ard_3-2-1_51KYU_2019-08-11_final
2019-08-11 11:24:33	ga_s2bm_ard_3-2-1_51JXN_2019-08-11_final
2019-08-11 11:26:54	ga_s2bm_ard_3-2-1_51HXC_2019-08-11_final.stac-item
2019-08-11 11:27:19	ga_s2bm_ard_3-2-1_51HTB_2019-08-11_final.stac-item
2019-08-12 10:52:51	ga_s2bm_ard_3-2-1_52KHD_2019-08-12_final
2019-08-13 10:26:53	ga_s2bm_ard_3-2-1_53HQB_2019-08-13_final
2019-08-14 09:52:20	ga_s2bm_ard_3-2-1_55KGU_2019-08-14_final
2019-08-14 09:56:44	ga_s2bm_ard_3-2-1_55HBB_2019-08-14_final
2019-08-14 11:32:57	ga_s2bm_ard_3-2-1_51KYU_2019-08-14_final
2019-08-14 11:34:22	ga_s2bm_ard_3-2-1_51JXN_2019-08-14_final
2019-08-14 11:36:53	ga_s2bm_ard_3-2-1_51HTD_2019-08-14_final
2019-08-14 11:36:55	ga_s2bm_ard_3-2-1_50HQJ_2019-08-14_final
2019-08-14 11:37:22	ga_s2bm_ard_3-2-1_51HTB_2019-08-14_final.stac-item
2019-08-15 11:02:50	ga_s2bm_ard_3-2-1_52KGD_2019-08-15_final
2019-08-15 11:06:43	ga_s2bm_ard_3-2-1_51HYD_2019-08-15_final
2019-08-17 10:06:39	ga_s2bm_ard_3-2-1_55HBB_2019-08-17_final
2019-08-17 10:06:41	ga_s2bm_ard_3-2-1_54HYG_2019-08-17_final
2019-08-17 11:43:09	ga_s2bm_ard_3-2-1_51KTU_2019-08-17_final
2019-08-17 11:43:10	ga_s2bm_ard_3-2-1_50KRD_2019-08-17_final
2019-08-17 11:44:34	ga_s2bm_ard_3-2-1_50JPT_2019-08-17_final
2019-08-17 11:44:44	ga_s2bm_ard_3-2-1_50JPT_2019-08-17_final
2019-08-17 11:46:49	ga_s2bm_ard_3-2-1_50HQJ_2019-08-17_final
2019-08-18 09:36:08	ga_s2bm_ard_3-2-1_55HFD_2019-08-18_final
2019-08-18 09:36:56	ga_s2bm_ard_3-2-1_55HEA_2019-08-18_final
2019-08-18 11:16:43	ga_s2bm_ard_3-2-1_51HYD_2019-08-18_final
2019-08-19 10:42:38	ga_s2bm_ard_3-2-1_53KQU_2019-08-19_final
2019-08-20 10:16:57	ga_s2bm_ard_3-2-1_53HQB_2019-08-20_final
2019-08-20 11:53:00	ga_s2bm_ard_3-2-1_51KTU_2019-08-20_final
2019-08-20 11:53:04	ga_s2bm_ard_3-2-1_50KRD_2019-08-20_final
2019-08-21 09:46:04	ga_s2bm_ard_3-2-1_55HFD_2019-08-21_final
2019-08-21 09:46:51	ga_s2bm_ard_3-2-1_55HEA_2019-08-21_final
2019-08-21 11:22:57	ga_s2bm_ard_3-2-1_52KBD_2019-08-21_final
2019-08-21 11:22:58	ga_s2bm_ard_3-2-1_51KZU_2019-08-21_final
2019-08-21 11:23:01	ga_s2bm_ard_3-2-1_51KYU_2019-08-21_final
2019-08-21 11:24:32	ga_s2bm_ard_3-2-1_51JXN_2019-08-21_final
2019-08-21 11:27:20	ga_s2bm_ard_3-2-1_51HTB_2019-08-21_final.stac-item
2019-08-22 10:52:50	ga_s2bm_ard_3-2-1_52KHD_2019-08-22_final
2019-08-23 10:26:52	ga_s2bm_ard_3-2-1_53HQB_2019-08-23_final
2019-08-24 09:52:18	ga_s2bm_ard_3-2-1_55KGU_2019-08-24_final
2019-08-24 09:56:42	ga_s2bm_ard_3-2-1_55HBB_2019-08-24_final
2019-08-24 11:32:55	ga_s2bm_ard_3-2-1_51KYU_2019-08-24_final
2019-08-24 11:34:20	ga_s2bm_ard_3-2-1_51JXN_2019-08-24_final
2019-08-24 11:36:51	ga_s2bm_ard_3-2-1_51HTD_2019-08-24_final
2019-08-24 11:36:53	ga_s2bm_ard_3-2-1_50HQJ_2019-08-24_final
2019-08-24 11:37:20	ga_s2bm_ard_3-2-1_51HTB_2019-08-24_final.stac-item
2019-08-25 11:02:49	ga_s2bm_ard_3-2-1_52KGD_2019-08-25_final
2019-08-25 11:06:41	ga_s2bm_ard_3-2-1_51HYD_2019-08-25_final
2019-08-27 10:06:37	ga_s2bm_ard_3-2-1_55HBB_2019-08-27_final
2019-08-27 10:06:39	ga_s2bm_ard_3-2-1_54HYG_2019-08-27_final
2019-08-27 11:43:08	ga_s2bm_ard_3-2-1_51KTU_2019-08-27_final
2019-08-27 11:43:08	ga_s2bm_ard_3-2-1_50KRD_2019-08-27_final
2019-08-27 11:46:47	ga_s2bm_ard_3-2-1_50HQJ_2019-08-27_final
2019-08-28 09:36:06	ga_s2bm_ard_3-2-1_55HFD_2019-08-28_final
2019-08-28 09:36:55	ga_s2bm_ard_3-2-1_55HEA_2019-08-28_final
2019-08-28 11:16:41	ga_s2bm_ard_3-2-1_51HYD_2019-08-28_final
2019-08-30 10:16:56	ga_s2bm_ard_3-2-1_53HQB_2019-08-30_final
2019-08-30 11:52:58	ga_s2bm_ard_3-2-1_51KTU_2019-08-30_final
2019-08-30 11:53:03	ga_s2bm_ard_3-2-1_50KRD_2019-08-30_final
2019-08-31 09:46:02	ga_s2bm_ard_3-2-1_55HFD_2019-08-31_final
2019-08-31 09:46:49	ga_s2bm_ard_3-2-1_55HEA_2019-08-31_final
2019-08-31 11:22:55	ga_s2bm_ard_3-2-1_52KBD_2019-08-31_final
2019-08-31 11:22:56	ga_s2bm_ard_3-2-1_51KZU_2019-08-31_final
2019-08-31 11:22:59	ga_s2bm_ard_3-2-1_51KYU_2019-08-31_final
2019-08-31 11:24:30	ga_s2bm_ard_3-2-1_51JXN_2019-08-31_final
2019-08-31 11:26:51	ga_s2bm_ard_3-2-1_51HXC_2019-08-31_final.stac-item

Return to ga_s2bm_ard_3 across 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

All days