Search ga_s2bm_ard_3 whole collection

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
2021-12-31 11:33:52	ga_s2bm_ard_3-2-1_51KWQ_2021-12-31_final
2022-01-06 10:13:26	ga_s2bm_ard_3-2-1_54KWV_2022-01-06_final
2022-01-07 11:23:58	ga_s2bm_ard_3-2-1_51KWQ_2022-01-07_final
2022-01-10 11:33:52	ga_s2bm_ard_3-2-1_51KWQ_2022-01-10_final
2022-01-11 11:03:45	ga_s2bm_ard_3-2-1_52KEV_2022-01-11_final
2022-01-14 11:13:40	ga_s2bm_ard_3-2-1_52KEV_2022-01-14_final
2022-01-17 11:23:57	ga_s2bm_ard_3-2-1_51KWQ_2022-01-17_final
2022-01-20 11:33:51	ga_s2bm_ard_3-2-1_51KWQ_2022-01-20_final
2022-01-21 11:03:42	ga_s2bm_ard_3-2-1_52KEV_2022-01-21_final
2022-01-24 11:13:39	ga_s2bm_ard_3-2-1_52KEV_2022-01-24_final
2022-01-27 11:23:56	ga_s2bm_ard_3-2-1_51KWQ_2022-01-27_final
2022-01-30 11:33:50	ga_s2bm_ard_3-2-1_51KWQ_2022-01-30_final
2022-01-31 11:03:43	ga_s2bm_ard_3-2-1_52KEV_2022-01-31_final
2022-02-03 11:13:39	ga_s2bm_ard_3-2-1_52KEV_2022-02-03_final
2022-02-06 11:23:56	ga_s2bm_ard_3-2-1_51KWQ_2022-02-06_final
2022-02-09 11:33:50	ga_s2bm_ard_3-2-1_51KWQ_2022-02-09_final
2022-02-10 11:03:43	ga_s2bm_ard_3-2-1_52KEV_2022-02-10_final
2022-02-13 11:13:38	ga_s2bm_ard_3-2-1_52KEV_2022-02-13_final
2022-02-16 11:23:55	ga_s2bm_ard_3-2-1_51KWQ_2022-02-16_final
2022-02-19 11:33:50	ga_s2bm_ard_3-2-1_51KWQ_2022-02-19_final
2022-02-20 11:03:43	ga_s2bm_ard_3-2-1_52KEV_2022-02-20_final
2022-02-23 11:13:39	ga_s2bm_ard_3-2-1_52KEV_2022-02-23_final
2022-02-26 11:23:58	ga_s2bm_ard_3-2-1_51KWQ_2022-02-26_final
2022-03-01 11:33:53	ga_s2bm_ard_3-2-1_51KWQ_2022-03-01_final
2022-03-02 11:03:46	ga_s2bm_ard_3-2-1_52KEV_2022-03-02_final
2022-03-05 11:13:41	ga_s2bm_ard_3-2-1_52KEV_2022-03-05_final
2022-03-08 11:23:59	ga_s2bm_ard_3-2-1_51KWQ_2022-03-08_final
2022-03-11 11:33:54	ga_s2bm_ard_3-2-1_51KWQ_2022-03-11_final
2022-03-12 11:03:47	ga_s2bm_ard_3-2-1_52KEV_2022-03-12_final
2022-03-15 11:13:37	ga_s2bm_ard_3-2-1_52KEV_2022-03-15_final
2022-03-15 11:13:43	ga_s2bm_ard_3-2-1_52KEV_2022-03-15_final
2022-03-18 11:24:00	ga_s2bm_ard_3-2-1_51KWQ_2022-03-18_final
2022-03-21 11:33:54	ga_s2bm_ard_3-2-1_51KWQ_2022-03-21_final
2022-03-22 11:03:47	ga_s2bm_ard_3-2-1_52KEV_2022-03-22_final
2022-03-25 11:13:42	ga_s2bm_ard_3-2-1_52KEV_2022-03-25_final
2022-03-28 11:23:59	ga_s2bm_ard_3-2-1_51KWQ_2022-03-28_final
2022-03-31 11:33:53	ga_s2bm_ard_3-2-1_51KWQ_2022-03-31_final
2022-04-01 11:03:45	ga_s2bm_ard_3-2-1_52KEV_2022-04-01_final
2022-04-04 11:13:41	ga_s2bm_ard_3-2-1_52KEV_2022-04-04_final
2022-04-07 11:23:59	ga_s2bm_ard_3-2-1_51KWQ_2022-04-07_final
2022-04-10 11:33:53	ga_s2bm_ard_3-2-1_51KWQ_2022-04-10_final
2022-04-11 11:03:46	ga_s2bm_ard_3-2-1_52KEV_2022-04-11_final
2022-04-14 11:13:41	ga_s2bm_ard_3-2-1_52KEV_2022-04-14_final
2022-04-17 11:23:58	ga_s2bm_ard_3-2-1_51KWQ_2022-04-17_final
2022-04-20 11:33:52	ga_s2bm_ard_3-2-1_51KWQ_2022-04-20_final
2022-04-21 11:03:44	ga_s2bm_ard_3-2-1_52KEV_2022-04-21_final
2022-04-24 11:13:39	ga_s2bm_ard_3-2-1_52KEV_2022-04-24_final
2022-04-27 11:23:55	ga_s2bm_ard_3-2-1_51KWQ_2022-04-27_final
2022-04-30 11:33:50	ga_s2bm_ard_3-2-1_51KWQ_2022-04-30_final
2022-05-01 11:03:43	ga_s2bm_ard_3-2-1_52KEV_2022-05-01_final
2022-05-04 11:13:39	ga_s2bm_ard_3-2-1_52KEV_2022-05-04_final
2022-05-07 11:23:58	ga_s2bm_ard_3-2-1_51KWQ_2022-05-07_final
2022-05-10 11:33:54	ga_s2bm_ard_3-2-1_51KWQ_2022-05-10_final
2022-05-11 11:03:47	ga_s2bm_ard_3-2-1_52KEV_2022-05-11_final
2022-05-14 11:13:43	ga_s2bm_ard_3-2-1_52KEV_2022-05-14_final
2022-05-17 11:24:01	ga_s2bm_ard_3-2-1_51KWQ_2022-05-17_final
2022-05-20 11:33:56	ga_s2bm_ard_3-2-1_51KWQ_2022-05-20_final
2022-05-21 11:03:49	ga_s2bm_ard_3-2-1_52KEV_2022-05-21_final
2022-05-24 11:13:44	ga_s2bm_ard_3-2-1_52KEV_2022-05-24_final
2022-05-27 11:24:02	ga_s2bm_ard_3-2-1_51KWQ_2022-05-27_final
2022-05-30 11:33:56	ga_s2bm_ard_3-2-1_51KWQ_2022-05-30_final
2022-05-31 11:03:49	ga_s2bm_ard_3-2-1_52KEV_2022-05-31_final
2022-06-03 11:13:44	ga_s2bm_ard_3-2-1_52KEV_2022-06-03_final
2022-06-06 11:24:03	ga_s2bm_ard_3-2-1_51KWQ_2022-06-06_final
2022-06-09 11:33:58	ga_s2bm_ard_3-2-1_51KWQ_2022-06-09_final
2022-06-10 11:03:51	ga_s2bm_ard_3-2-1_52KEV_2022-06-10_final
2022-06-13 11:13:47	ga_s2bm_ard_3-2-1_52KEV_2022-06-13_final
2022-06-16 11:24:05	ga_s2bm_ard_3-2-1_51KWQ_2022-06-16_final
2022-06-19 11:34:00	ga_s2bm_ard_3-2-1_51KWQ_2022-06-19_final
2022-06-20 11:03:53	ga_s2bm_ard_3-2-1_52KEV_2022-06-20_final
2022-06-23 11:13:49	ga_s2bm_ard_3-2-1_52KEV_2022-06-23_final
2022-06-26 11:24:07	ga_s2bm_ard_3-2-1_51KWQ_2022-06-26_final
2022-06-29 11:34:01	ga_s2bm_ard_3-2-1_51KWQ_2022-06-29_final
2022-06-30 11:03:54	ga_s2bm_ard_3-2-1_52KEV_2022-06-30_final
2022-07-03 11:13:49	ga_s2bm_ard_3-2-1_52KEV_2022-07-03_final
2022-07-06 11:24:07	ga_s2bm_ard_3-2-1_51KWQ_2022-07-06_final
2022-07-09 11:34:01	ga_s2bm_ard_3-2-1_51KWQ_2022-07-09_final
2022-07-10 11:03:54	ga_s2bm_ard_3-2-1_52KEV_2022-07-10_final
2022-07-13 11:13:48	ga_s2bm_ard_3-2-1_52KEV_2022-07-13_final
2022-07-16 11:24:06	ga_s2bm_ard_3-2-1_51KWQ_2022-07-16_final
2022-07-19 11:34:01	ga_s2bm_ard_3-2-1_51KWQ_2022-07-19_final
2022-07-20 11:03:54	ga_s2bm_ard_3-2-1_52KEV_2022-07-20_final
2022-07-23 11:13:49	ga_s2bm_ard_3-2-1_52KEV_2022-07-23_final
2022-07-26 11:24:07	ga_s2bm_ard_3-2-1_51KWQ_2022-07-26_final
2022-07-29 11:34:01	ga_s2bm_ard_3-2-1_51KWQ_2022-07-29_final
2022-07-30 11:03:54	ga_s2bm_ard_3-2-1_52KEV_2022-07-30_final
2022-08-02 11:13:49	ga_s2bm_ard_3-2-1_52KEV_2022-08-02_final
2022-08-05 11:24:06	ga_s2bm_ard_3-2-1_51KWQ_2022-08-05_final
2022-08-07 10:23:29	ga_s2bm_ard_3-2-1_54KWV_2022-08-07_final
2022-08-08 11:34:00	ga_s2bm_ard_3-2-1_51KWQ_2022-08-08_final
2022-08-09 11:03:53	ga_s2bm_ard_3-2-1_52KEV_2022-08-09_final
2022-08-12 11:13:48	ga_s2bm_ard_3-2-1_52KEV_2022-08-12_final
2022-08-15 11:24:05	ga_s2bm_ard_3-2-1_51KWQ_2022-08-15_final
2022-08-17 10:23:28	ga_s2bm_ard_3-2-1_54KWV_2022-08-17_final
2022-08-18 11:33:58	ga_s2bm_ard_3-2-1_51KWQ_2022-08-18_final
2022-08-19 11:03:51	ga_s2bm_ard_3-2-1_52KEV_2022-08-19_final
2022-08-22 11:13:45	ga_s2bm_ard_3-2-1_52KEV_2022-08-22_final
2022-08-25 11:24:02	ga_s2bm_ard_3-2-1_51KWQ_2022-08-25_final
2022-08-27 10:23:25	ga_s2bm_ard_3-2-1_54KWV_2022-08-27_final
2022-08-28 11:33:57	ga_s2bm_ard_3-2-1_51KWQ_2022-08-28_final

Return to ga_s2bm_ard_3 whole collection 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

All years