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
2017-07-04 12:04:34	ga_s2bm_ard_3-2-1_49JGN_2017-07-04_final
2017-07-04 12:04:34	ga_s2bm_ard_3-2-1_49JHM_2017-07-04_final
2017-07-14 12:04:42	ga_s2bm_ard_3-2-1_49JHM_2017-07-14_final
2017-07-17 12:13:21	ga_s2bm_ard_3-2-1_49KHQ_2017-07-17_final
2017-07-17 12:13:21	ga_s2bm_ard_3-2-1_49KHS_2017-07-17_final.stac-item
2017-07-24 12:02:49	ga_s2bm_ard_3-2-1_49JGN_2017-07-24_final
2017-07-24 12:02:49	ga_s2bm_ard_3-2-1_49JHM_2017-07-24_final
2017-08-03 12:04:41	ga_s2bm_ard_3-2-1_49JHM_2017-08-03_final
2017-08-03 12:04:41	ga_s2bm_ard_3-2-1_49JHN_2017-08-03_final
2017-08-06 12:13:20	ga_s2bm_ard_3-2-1_49KHP_2017-08-06_final
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_50HLH_2017-09-16_final
2017-10-22 12:03:34	ga_s2bm_ard_3-2-1_49KHQ_2017-10-22_final
2017-10-25 12:13:08	ga_s2bm_ard_3-2-1_49KHQ_2017-10-25_final
2017-11-04 12:13:08	ga_s2bm_ard_3-2-1_49KHP_2017-11-04_final
2017-11-14 12:13:08	ga_s2bm_ard_3-2-1_49KHQ_2017-11-14_final
2017-12-14 12:13:09	ga_s2bm_ard_3-2-1_49KHQ_2017-12-14_final
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_50HLG_2018-01-04_final.stac-item
2018-01-10 12:02:41	ga_s2bm_ard_3-2-1_49JGN_2018-01-10_final
2018-01-13 12:13:13	ga_s2bm_ard_3-2-1_49KHP_2018-01-13_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50HLG_2018-01-24_final.stac-item
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_49JGN_2018-02-19_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_49JGN_2018-03-01_final
2018-03-04 12:13:52	ga_s2bm_ard_3-2-1_49KHP_2018-03-04_final
2018-03-14 12:13:13	ga_s2bm_ard_3-2-1_49KHQ_2018-03-14_final
2018-04-03 12:13:18	ga_s2bm_ard_3-2-1_49KHQ_2018-04-03_final
2018-04-13 12:13:19	ga_s2bm_ard_3-2-1_49KHP_2018-04-13_final
2018-04-23 12:13:20	ga_s2bm_ard_3-2-1_49KHS_2018-04-23_final.stac-item
2018-05-10 12:02:48	ga_s2bm_ard_3-2-1_49JHM_2018-05-10_final
2018-05-20 12:02:47	ga_s2bm_ard_3-2-1_49JGN_2018-05-20_final
2018-05-20 12:02:47	ga_s2bm_ard_3-2-1_49JHM_2018-05-20_final
2018-06-19 12:02:48	ga_s2bm_ard_3-2-1_49KHS_2018-06-19_final.stac-item
2018-08-11 12:13:16	ga_s2bm_ard_3-2-1_49KHQ_2018-08-11_final
2018-09-10 12:13:12	ga_s2bm_ard_3-2-1_49KHP_2018-09-10_final
2018-10-11 11:41:47	ga_s2bm_ard_3-2-1_50HLG_2018-10-11_final.stac-item
2018-10-17 12:03:15	ga_s2bm_ard_3-2-1_49KHS_2018-10-17_final.stac-item
2018-10-20 12:13:18	ga_s2bm_ard_3-2-1_49KHP_2018-10-20_final
2018-10-20 12:13:18	ga_s2bm_ard_3-2-1_49KHQ_2018-10-20_final
2018-10-30 12:13:26	ga_s2bm_ard_3-2-1_49KHP_2018-10-30_final
2018-11-19 12:14:18	ga_s2bm_ard_3-2-1_49KHP_2018-11-19_final
2018-11-29 12:14:17	ga_s2bm_ard_3-2-1_49KHP_2018-11-29_final
2018-12-19 12:14:16	ga_s2bm_ard_3-2-1_49KHP_2018-12-19_final
2018-12-29 12:14:06	ga_s2bm_ard_3-2-1_49KHQ_2018-12-29_final
2019-01-08 12:14:07	ga_s2bm_ard_3-2-1_49KHQ_2019-01-08_final
2019-03-30 11:47:28	ga_s2bm_ard_3-2-1_50HLG_2019-03-30_final.stac-item
2019-04-28 12:14:02	ga_s2bm_ard_3-2-1_49KGR_2019-04-28_final
2019-04-28 12:15:18	ga_s2bm_ard_3-2-1_49JGL_2019-04-28_final
2019-05-09 11:47:36	ga_s2bm_ard_3-2-1_50HLG_2019-05-09_final.stac-item
2019-05-18 12:14:13	ga_s2bm_ard_3-2-1_49KHQ_2019-05-18_final
2019-05-28 12:14:29	ga_s2bm_ard_3-2-1_49KHP_2019-05-28_final
2019-07-17 12:14:30	ga_s2bm_ard_3-2-1_49KHP_2019-07-17_final
2019-08-07 11:47:32	ga_s2bm_ard_3-2-1_50HMG_2019-08-07_final.stac-item
2019-08-10 11:57:31	ga_s2bm_ard_3-2-1_50HLG_2019-08-10_final.stac-item
2019-08-26 12:13:58	ga_s2bm_ard_3-2-1_49KGR_2019-08-26_final
2019-08-27 11:47:32	ga_s2bm_ard_3-2-1_50HLG_2019-08-27_final.stac-item
2019-10-12 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2019-10-12_final.stac-item
2019-10-22 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2019-10-22_final.stac-item
2019-11-08 11:56:37	ga_s2bm_ard_3-2-1_50HLK_2019-11-08_final
2019-12-15 11:47:22	ga_s2bm_ard_3-2-1_50HLG_2019-12-15_final.stac-item
2020-01-03 12:14:16	ga_s2bm_ard_3-2-1_49KHP_2020-01-03_final
2020-03-23 12:14:19	ga_s2bm_ard_3-2-1_49KHP_2020-03-23_final
2020-04-02 12:14:18	ga_s2bm_ard_3-2-1_49KHP_2020-04-02_final
2020-04-02 12:14:28	ga_s2bm_ard_3-2-1_49JHN_2020-04-02_final
2020-04-22 12:14:16	ga_s2bm_ard_3-2-1_49KHP_2020-04-22_final
2020-05-02 12:14:18	ga_s2bm_ard_3-2-1_49KHP_2020-05-02_final
2020-06-08 12:05:22	ga_s2bm_ard_3-2-1_49JGK_2020-06-08_final
2020-07-01 12:13:42	ga_s2bm_ard_3-2-1_49KHS_2020-07-01_final.stac-item
2020-07-11 12:14:23	ga_s2bm_ard_3-2-1_49KHP_2020-07-11_final
2020-07-12 11:47:29	ga_s2bm_ard_3-2-1_50HLG_2020-07-12_final.stac-item
2020-07-18 12:05:22	ga_s2bm_ard_3-2-1_49JGK_2020-07-18_final
2020-08-07 12:04:14	ga_s2bm_ard_3-2-1_49KGQ_2020-08-07_final.stac-item
2020-09-06 12:04:51	ga_s2bm_ard_3-2-1_49JHM_2020-09-06_final
2020-09-06 12:04:52	ga_s2bm_ard_3-2-1_49JGN_2020-09-06_final
2020-10-03 11:57:24	ga_s2bm_ard_3-2-1_50HMG_2020-10-03_final.stac-item
2020-10-16 12:04:53	ga_s2bm_ard_3-2-1_49JGN_2020-10-16_final
2020-10-19 12:14:25	ga_s2bm_ard_3-2-1_49KHP_2020-10-19_final
2021-03-15 12:04:22	ga_s2bm_ard_3-2-1_49KGP_2021-03-15_final
2021-05-14 12:04:21	ga_s2bm_ard_3-2-1_49KGQ_2021-05-14_final
2021-07-03 12:04:24	ga_s2bm_ard_3-2-1_49KGP_2021-07-03_final
2021-08-06 11:47:15	ga_s2bm_ard_3-2-1_50HLH_2021-08-06_final
2021-08-12 12:04:23	ga_s2bm_ard_3-2-1_49KGP_2021-08-12_final
2021-08-12 12:04:48	ga_s2bm_ard_3-2-1_49JHM_2021-08-12_final
2021-09-04 12:13:40	ga_s2bm_ard_3-2-1_49KHS_2021-09-04_final.stac-item
2021-09-11 12:04:19	ga_s2bm_ard_3-2-1_49KGP_2021-09-11_final
2021-09-24 12:14:07	ga_s2bm_ard_3-2-1_49KHQ_2021-09-24_final
2021-11-23 12:14:17	ga_s2bm_ard_3-2-1_49KHP_2021-11-23_final
2021-12-03 12:14:16	ga_s2bm_ard_3-2-1_49KHP_2021-12-03_final
2021-12-13 12:14:15	ga_s2bm_ard_3-2-1_49KHP_2021-12-13_final
2022-03-03 12:14:18	ga_s2bm_ard_3-2-1_49KHP_2022-03-03_final
2022-03-13 12:14:19	ga_s2bm_ard_3-2-1_49KHP_2022-03-13_final
2022-03-27 11:57:20	ga_s2bm_ard_3-2-1_50HLG_2022-03-27_final.stac-item
2022-04-22 12:14:16	ga_s2bm_ard_3-2-1_49KHP_2022-04-22_final
2022-05-02 12:14:15	ga_s2bm_ard_3-2-1_49KHP_2022-05-02_final
2022-06-01 12:14:08	ga_s2bm_ard_3-2-1_49KHQ_2022-06-01_final
2022-08-20 12:14:23	ga_s2bm_ard_3-2-1_49KHP_2022-08-20_final
2022-12-12 13:31:30	ga_s2bm_ard_3-2-1_47LKH_2022-12-12_interim.stac-item
2023-01-04 12:03:43	ga_s2bm_ard_3-2-1_49KHS_2023-01-04_final.stac-item
2023-05-14 12:05:12	ga_s2bm_ard_3-2-1_49JFM_2023-05-14_final.stac-item
2023-08-02 12:03:49	ga_s2bm_ard_3-2-1_49KHS_2023-08-02_final.stac-item
2023-08-22 12:03:49	ga_s2bm_ard_3-2-1_49KHS_2023-08-22_final.stac-item
2023-10-14 12:13:42	ga_s2bm_ard_3-2-1_49KHS_2023-10-14_final.stac-item

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