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
2018-08-23 09:32:32	ga_s2bm_ard_3-2-1_56HKG_2018-08-23_final
2018-09-02 09:35:46	ga_s2bm_ard_3-2-1_56HKG_2018-09-02_final
2018-09-12 09:32:31	ga_s2bm_ard_3-2-1_56HKG_2018-09-12_final
2018-09-19 09:22:37	ga_s2bm_ard_3-2-1_56HKG_2018-09-18_final
2018-09-22 09:32:33	ga_s2bm_ard_3-2-1_56HKG_2018-09-22_final
2018-09-29 09:22:39	ga_s2bm_ard_3-2-1_56HKG_2018-09-28_final
2018-10-02 09:34:02	ga_s2bm_ard_3-2-1_56HKG_2018-10-02_final
2018-10-09 09:25:58	ga_s2bm_ard_3-2-1_56HKG_2018-10-08_final
2018-10-12 09:32:36	ga_s2bm_ard_3-2-1_56HKG_2018-10-12_final
2018-10-19 09:22:41	ga_s2bm_ard_3-2-1_56HKG_2018-10-18_final
2018-10-22 09:32:37	ga_s2bm_ard_3-2-1_56HKG_2018-10-22_final
2018-10-29 09:22:42	ga_s2bm_ard_3-2-1_56HKG_2018-10-28_final
2018-11-01 09:32:37	ga_s2bm_ard_3-2-1_56HKG_2018-11-01_final
2018-11-08 09:26:29	ga_s2bm_ard_3-2-1_56HKG_2018-11-07_final
2018-11-11 09:36:23	ga_s2bm_ard_3-2-1_56HKG_2018-11-11_final
2018-11-18 09:26:28	ga_s2bm_ard_3-2-1_56HKG_2018-11-17_final
2018-11-21 09:36:23	ga_s2bm_ard_3-2-1_56HKG_2018-11-21_final
2018-11-28 09:26:27	ga_s2bm_ard_3-2-1_56HKG_2018-11-27_final
2018-12-01 09:36:21	ga_s2bm_ard_3-2-1_56HKG_2018-12-01_final
2018-12-11 09:36:19	ga_s2bm_ard_3-2-1_56HKG_2018-12-11_final
2018-12-18 09:26:26	ga_s2bm_ard_3-2-1_56HKG_2018-12-17_final
2018-12-21 09:36:21	ga_s2bm_ard_3-2-1_56HKG_2018-12-21_final
2018-12-28 09:26:28	ga_s2bm_ard_3-2-1_56HKG_2018-12-27_final
2018-12-31 09:36:23	ga_s2bm_ard_3-2-1_56HKG_2018-12-31_final
2019-01-07 09:26:30	ga_s2bm_ard_3-2-1_56HKG_2019-01-06_final
2019-01-10 09:36:25	ga_s2bm_ard_3-2-1_56HKG_2019-01-10_final
2019-01-17 09:26:31	ga_s2bm_ard_3-2-1_56HKG_2019-01-16_final
2019-01-20 09:36:26	ga_s2bm_ard_3-2-1_56HKG_2019-01-20_final
2019-01-27 09:26:32	ga_s2bm_ard_3-2-1_56HKG_2019-01-26_final
2019-01-30 09:36:26	ga_s2bm_ard_3-2-1_56HKG_2019-01-30_final
2019-02-06 09:26:32	ga_s2bm_ard_3-2-1_56HKG_2019-02-05_final
2019-02-09 09:36:26	ga_s2bm_ard_3-2-1_56HKG_2019-02-09_final
2019-02-16 09:26:31	ga_s2bm_ard_3-2-1_56HKG_2019-02-15_final
2019-02-19 09:36:25	ga_s2bm_ard_3-2-1_56HKG_2019-02-19_final
2019-02-26 09:26:30	ga_s2bm_ard_3-2-1_56HKG_2019-02-25_final
2019-03-01 09:36:24	ga_s2bm_ard_3-2-1_56HKG_2019-03-01_final
2019-03-11 09:36:23	ga_s2bm_ard_3-2-1_56HKG_2019-03-11_final
2019-03-18 09:26:30	ga_s2bm_ard_3-2-1_56HKG_2019-03-17_final
2019-03-21 09:36:25	ga_s2bm_ard_3-2-1_56HKG_2019-03-21_final
2019-03-28 09:26:33	ga_s2bm_ard_3-2-1_56HKG_2019-03-27_final
2019-03-31 09:36:28	ga_s2bm_ard_3-2-1_56HKG_2019-03-31_final
2019-04-07 09:26:35	ga_s2bm_ard_3-2-1_56HKG_2019-04-06_final
2019-04-10 09:36:30	ga_s2bm_ard_3-2-1_56HKG_2019-04-10_final
2020-06-16 09:46:20	ga_s2bm_ard_3-2-1_55HGB_2020-06-16_final
2020-06-23 09:36:30	ga_s2bm_ard_3-2-1_55HGB_2020-06-23_final
2020-06-26 09:46:20	ga_s2bm_ard_3-2-1_55HGB_2020-06-26_final
2020-07-03 09:36:30	ga_s2bm_ard_3-2-1_55HGB_2020-07-03_final
2020-07-06 09:46:19	ga_s2bm_ard_3-2-1_55HGB_2020-07-06_final
2020-07-13 09:36:29	ga_s2bm_ard_3-2-1_55HGB_2020-07-13_final
2020-07-16 09:46:19	ga_s2bm_ard_3-2-1_55HGB_2020-07-16_final
2020-07-23 09:36:29	ga_s2bm_ard_3-2-1_55HGB_2020-07-23_final
2020-07-26 09:46:20	ga_s2bm_ard_3-2-1_55HGB_2020-07-26_final
2020-08-02 09:36:30	ga_s2bm_ard_3-2-1_55HGB_2020-08-02_final
2020-08-05 09:46:20	ga_s2bm_ard_3-2-1_55HGB_2020-08-05_final
2020-08-12 09:36:31	ga_s2bm_ard_3-2-1_55HGB_2020-08-12_final
2020-08-15 09:46:21	ga_s2bm_ard_3-2-1_55HGB_2020-08-15_final
2020-08-22 09:36:31	ga_s2bm_ard_3-2-1_55HGB_2020-08-22_final
2020-08-25 09:46:21	ga_s2bm_ard_3-2-1_55HGB_2020-08-25_final
2020-09-01 09:36:31	ga_s2bm_ard_3-2-1_55HGB_2020-09-01_final
2020-09-04 09:46:20	ga_s2bm_ard_3-2-1_55HGB_2020-09-04_final
2020-09-11 09:36:30	ga_s2bm_ard_3-2-1_55HGB_2020-09-11_final
2020-09-14 09:46:19	ga_s2bm_ard_3-2-1_55HGB_2020-09-14_final
2020-09-21 09:36:30	ga_s2bm_ard_3-2-1_55HGB_2020-09-21_final
2020-09-24 09:46:20	ga_s2bm_ard_3-2-1_55HGB_2020-09-24_final
2020-10-01 09:36:31	ga_s2bm_ard_3-2-1_55HGB_2020-10-01_final
2020-10-04 09:46:20	ga_s2bm_ard_3-2-1_55HGB_2020-10-04_final
2020-10-11 09:36:31	ga_s2bm_ard_3-2-1_55HGB_2020-10-11_final
2020-10-14 09:46:21	ga_s2bm_ard_3-2-1_55HGB_2020-10-14_final
2020-10-21 09:36:31	ga_s2bm_ard_3-2-1_55HGB_2020-10-21_final
2020-10-24 09:46:20	ga_s2bm_ard_3-2-1_55HGB_2020-10-24_final
2020-10-31 09:36:30	ga_s2bm_ard_3-2-1_55HGB_2020-10-31_final
2020-11-03 09:46:20	ga_s2bm_ard_3-2-1_55HGB_2020-11-03_final
2020-11-10 09:36:29	ga_s2bm_ard_3-2-1_55HGB_2020-11-10_final
2020-11-13 09:46:18	ga_s2bm_ard_3-2-1_55HGB_2020-11-13_final
2020-11-20 09:36:28	ga_s2bm_ard_3-2-1_55HGB_2020-11-20_final
2020-11-23 09:46:18	ga_s2bm_ard_3-2-1_55HGB_2020-11-23_final
2020-11-30 09:36:27	ga_s2bm_ard_3-2-1_55HGB_2020-11-30_final
2020-12-03 09:46:16	ga_s2bm_ard_3-2-1_55HGB_2020-12-03_final
2020-12-10 09:36:25	ga_s2bm_ard_3-2-1_55HGB_2020-12-10_final
2020-12-13 09:46:14	ga_s2bm_ard_3-2-1_55HGB_2020-12-13_final
2020-12-20 09:36:23	ga_s2bm_ard_3-2-1_55HGB_2020-12-20_final
2020-12-23 09:46:14	ga_s2bm_ard_3-2-1_55HGB_2020-12-23_final
2020-12-30 09:36:25	ga_s2bm_ard_3-2-1_55HGB_2020-12-30_final
2021-01-02 09:46:16	ga_s2bm_ard_3-2-1_55HGB_2021-01-02_final
2021-01-09 09:36:27	ga_s2bm_ard_3-2-1_55HGB_2021-01-09_final
2021-01-12 09:46:17	ga_s2bm_ard_3-2-1_55HGB_2021-01-12_final
2021-01-19 09:36:27	ga_s2bm_ard_3-2-1_55HGB_2021-01-19_final
2021-01-22 09:46:17	ga_s2bm_ard_3-2-1_55HGB_2021-01-22_final
2021-01-29 09:36:27	ga_s2bm_ard_3-2-1_55HGB_2021-01-29_final
2021-02-01 09:46:17	ga_s2bm_ard_3-2-1_55HGB_2021-02-01_final
2021-02-08 09:36:26	ga_s2bm_ard_3-2-1_55HGB_2021-02-08_final
2021-02-11 09:46:16	ga_s2bm_ard_3-2-1_55HGB_2021-02-11_final
2021-07-08 09:36:29	ga_s2bm_ard_3-2-1_55HGB_2021-07-08_final
2021-07-18 09:36:29	ga_s2bm_ard_3-2-1_55HGB_2021-07-18_final
2021-07-21 09:46:19	ga_s2bm_ard_3-2-1_55HGB_2021-07-21_final
2021-07-28 09:36:29	ga_s2bm_ard_3-2-1_55HGB_2021-07-28_final
2021-08-27 09:36:26	ga_s2bm_ard_3-2-1_55HGB_2021-08-27_final
2021-08-30 09:46:15	ga_s2bm_ard_3-2-1_55HGB_2021-08-30_final
2021-09-19 09:46:14	ga_s2bm_ard_3-2-1_55HGB_2021-09-19_final
2021-10-09 09:46:18	ga_s2bm_ard_3-2-1_55HGB_2021-10-09_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