Search ga_s2bm_ard_3 across September 2021

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
2021-09-01 10:24:27	ga_s2bm_ard_3-2-1_54JUR_2021-09-01_final
2021-09-01 10:25:14	ga_s2bm_ard_3-2-1_54JTN_2021-09-01_final
2021-09-01 12:05:05	ga_s2bm_ard_3-2-1_50JLR_2021-09-01_final
2021-09-01 12:05:52	ga_s2bm_ard_3-2-1_50JKN_2021-09-01_final
2021-09-01 12:05:55	ga_s2bm_ard_3-2-1_49JGH_2021-09-01_final.stac-item
2021-09-02 09:54:09	ga_s2bm_ard_3-2-1_55JFL_2021-09-02_final
2021-09-02 09:54:19	ga_s2bm_ard_3-2-1_55JCL_2021-09-02_final
2021-09-02 09:55:08	ga_s2bm_ard_3-2-1_55JBH_2021-09-02_final
2021-09-02 11:35:44	ga_s2bm_ard_3-2-1_51JTH_2021-09-02_final
2021-09-04 10:34:33	ga_s2bm_ard_3-2-1_53JPL_2021-09-04_final
2021-09-04 10:35:05	ga_s2bm_ard_3-2-1_54JTN_2021-09-04_final
2021-09-04 10:35:12	ga_s2bm_ard_3-2-1_53JQH_2021-09-04_final
2021-09-05 10:04:15	ga_s2bm_ard_3-2-1_55JCL_2021-09-05_final
2021-09-05 10:05:02	ga_s2bm_ard_3-2-1_55JBH_2021-09-05_final
2021-09-05 10:05:46	ga_s2bm_ard_3-2-1_55HBE_2021-09-05_final
2021-09-05 11:45:03	ga_s2bm_ard_3-2-1_50JPR_2021-09-05_final
2021-09-05 11:45:40	ga_s2bm_ard_3-2-1_51JTH_2021-09-05_final
2021-09-06 09:34:08	ga_s2bm_ard_3-2-1_56JLR_2021-09-06_final
2021-09-06 11:14:43	ga_s2bm_ard_3-2-1_52JDR_2021-09-06_final
2021-09-06 11:15:33	ga_s2bm_ard_3-2-1_52JBN_2021-09-06_final
2021-09-06 11:16:19	ga_s2bm_ard_3-2-1_51HYE_2021-09-06_final
2021-09-07 10:44:25	ga_s2bm_ard_3-2-1_53JPL_2021-09-07_final
2021-09-07 10:44:39	ga_s2bm_ard_3-2-1_53JLL_2021-09-07_final
2021-09-07 10:45:25	ga_s2bm_ard_3-2-1_53JKH_2021-09-07_final
2021-09-07 10:46:11	ga_s2bm_ard_3-2-1_52HGK_2021-09-07_final.stac-item
2021-09-08 11:54:59	ga_s2bm_ard_3-2-1_50JPR_2021-09-08_final
2021-09-08 11:55:09	ga_s2bm_ard_3-2-1_50JLR_2021-09-08_final
2021-09-08 11:55:56	ga_s2bm_ard_3-2-1_50JKN_2021-09-08_final
2021-09-09 09:44:02	ga_s2bm_ard_3-2-1_56JLR_2021-09-09_final
2021-09-09 09:44:14	ga_s2bm_ard_3-2-1_55JFL_2021-09-09_final
2021-09-10 10:54:34	ga_s2bm_ard_3-2-1_53JLL_2021-09-10_final
2021-09-10 10:55:21	ga_s2bm_ard_3-2-1_53JKH_2021-09-10_final
2021-09-11 10:24:27	ga_s2bm_ard_3-2-1_54JUR_2021-09-11_final
2021-09-11 10:25:14	ga_s2bm_ard_3-2-1_54JTN_2021-09-11_final
2021-09-11 12:05:04	ga_s2bm_ard_3-2-1_50JLR_2021-09-11_final
2021-09-11 12:05:52	ga_s2bm_ard_3-2-1_50JKN_2021-09-11_final
2021-09-11 12:05:55	ga_s2bm_ard_3-2-1_49JGH_2021-09-11_final.stac-item
2021-09-12 09:54:09	ga_s2bm_ard_3-2-1_55JFL_2021-09-12_final
2021-09-12 09:54:19	ga_s2bm_ard_3-2-1_55JCL_2021-09-12_final
2021-09-12 09:55:07	ga_s2bm_ard_3-2-1_55JBH_2021-09-12_final
2021-09-12 11:35:44	ga_s2bm_ard_3-2-1_51JTH_2021-09-12_final
2021-09-14 10:34:32	ga_s2bm_ard_3-2-1_53JPL_2021-09-14_final
2021-09-14 10:35:05	ga_s2bm_ard_3-2-1_54JTN_2021-09-14_final
2021-09-14 10:35:12	ga_s2bm_ard_3-2-1_53JQH_2021-09-14_final
2021-09-15 10:04:15	ga_s2bm_ard_3-2-1_55JCL_2021-09-15_final
2021-09-15 10:05:02	ga_s2bm_ard_3-2-1_55JBH_2021-09-15_final
2021-09-15 10:05:45	ga_s2bm_ard_3-2-1_55HBE_2021-09-15_final
2021-09-15 11:45:03	ga_s2bm_ard_3-2-1_50JPR_2021-09-15_final
2021-09-15 11:45:40	ga_s2bm_ard_3-2-1_51JTH_2021-09-15_final
2021-09-16 09:34:07	ga_s2bm_ard_3-2-1_56JLR_2021-09-16_final
2021-09-16 11:14:42	ga_s2bm_ard_3-2-1_52JDR_2021-09-16_final
2021-09-16 11:15:32	ga_s2bm_ard_3-2-1_52JBN_2021-09-16_final
2021-09-16 11:16:18	ga_s2bm_ard_3-2-1_51HYE_2021-09-16_final
2021-09-17 10:44:24	ga_s2bm_ard_3-2-1_53JPL_2021-09-17_final
2021-09-17 10:44:38	ga_s2bm_ard_3-2-1_53JLL_2021-09-17_final
2021-09-17 10:45:25	ga_s2bm_ard_3-2-1_53JKH_2021-09-17_final
2021-09-17 10:46:11	ga_s2bm_ard_3-2-1_52HGK_2021-09-17_final.stac-item
2021-09-18 11:54:59	ga_s2bm_ard_3-2-1_50JPR_2021-09-18_final
2021-09-18 11:55:09	ga_s2bm_ard_3-2-1_50JLR_2021-09-18_final
2021-09-18 11:55:56	ga_s2bm_ard_3-2-1_50JKN_2021-09-18_final
2021-09-19 09:44:02	ga_s2bm_ard_3-2-1_56JLR_2021-09-19_final
2021-09-19 09:44:14	ga_s2bm_ard_3-2-1_55JFL_2021-09-19_final
2021-09-20 10:54:35	ga_s2bm_ard_3-2-1_53JLL_2021-09-20_final
2021-09-20 10:55:21	ga_s2bm_ard_3-2-1_53JKH_2021-09-20_final
2021-09-20 10:56:07	ga_s2bm_ard_3-2-1_52HGK_2021-09-20_final.stac-item
2021-09-21 10:24:28	ga_s2bm_ard_3-2-1_54JUR_2021-09-21_final
2021-09-21 10:25:15	ga_s2bm_ard_3-2-1_54JTN_2021-09-21_final
2021-09-21 12:05:05	ga_s2bm_ard_3-2-1_50JLR_2021-09-21_final
2021-09-21 12:05:53	ga_s2bm_ard_3-2-1_50JKN_2021-09-21_final
2021-09-21 12:05:55	ga_s2bm_ard_3-2-1_49JGH_2021-09-21_final.stac-item
2021-09-22 09:54:10	ga_s2bm_ard_3-2-1_55JFL_2021-09-22_final
2021-09-22 09:54:20	ga_s2bm_ard_3-2-1_55JCL_2021-09-22_final
2021-09-22 09:55:08	ga_s2bm_ard_3-2-1_55JBH_2021-09-22_final
2021-09-22 11:35:45	ga_s2bm_ard_3-2-1_51JTH_2021-09-22_final
2021-09-24 10:34:34	ga_s2bm_ard_3-2-1_53JPL_2021-09-24_final
2021-09-24 10:35:06	ga_s2bm_ard_3-2-1_54JTN_2021-09-24_final
2021-09-24 10:35:14	ga_s2bm_ard_3-2-1_53JQH_2021-09-24_final
2021-09-25 10:04:15	ga_s2bm_ard_3-2-1_55JCL_2021-09-25_final
2021-09-25 10:04:22	ga_s2bm_ard_3-2-1_55JCL_2021-09-25_final
2021-09-25 10:05:04	ga_s2bm_ard_3-2-1_55JBH_2021-09-25_final
2021-09-25 10:05:47	ga_s2bm_ard_3-2-1_55HBE_2021-09-25_final
2021-09-25 11:44:49	ga_s2bm_ard_3-2-1_51JUL_2021-09-25_final
2021-09-25 11:45:05	ga_s2bm_ard_3-2-1_50JPR_2021-09-25_final
2021-09-25 11:45:42	ga_s2bm_ard_3-2-1_51JTH_2021-09-25_final
2021-09-26 09:34:10	ga_s2bm_ard_3-2-1_56JLR_2021-09-26_final
2021-09-26 11:14:44	ga_s2bm_ard_3-2-1_52JDR_2021-09-26_final
2021-09-26 11:15:35	ga_s2bm_ard_3-2-1_52JBN_2021-09-26_final
2021-09-26 11:16:21	ga_s2bm_ard_3-2-1_51HYE_2021-09-26_final
2021-09-27 10:44:27	ga_s2bm_ard_3-2-1_53JPL_2021-09-27_final
2021-09-27 10:44:37	ga_s2bm_ard_3-2-1_53JML_2021-09-27_final
2021-09-27 10:44:41	ga_s2bm_ard_3-2-1_53JLL_2021-09-27_final
2021-09-27 10:45:28	ga_s2bm_ard_3-2-1_53JKH_2021-09-27_final
2021-09-27 10:46:13	ga_s2bm_ard_3-2-1_52HGK_2021-09-27_final.stac-item
2021-09-28 11:55:01	ga_s2bm_ard_3-2-1_50JPR_2021-09-28_final
2021-09-28 11:55:11	ga_s2bm_ard_3-2-1_50JLR_2021-09-28_final
2021-09-28 11:55:58	ga_s2bm_ard_3-2-1_50JKN_2021-09-28_final
2021-09-29 09:44:05	ga_s2bm_ard_3-2-1_56JLR_2021-09-29_final
2021-09-29 09:44:16	ga_s2bm_ard_3-2-1_55JFL_2021-09-29_final
2021-09-30 10:54:37	ga_s2bm_ard_3-2-1_53JLL_2021-09-30_final
2021-09-30 10:55:24	ga_s2bm_ard_3-2-1_53JKH_2021-09-30_final

Return to ga_s2bm_ard_3 across September 2021 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

2021

September

All days