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_49JHM_2017-07-04_final
2017-07-14 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2017-07-14_final
2017-07-17 12:13:21	ga_s2bm_ard_3-2-1_49KHQ_2017-07-17_final
2017-08-06 12:13:20	ga_s2bm_ard_3-2-1_49KHP_2017-08-06_final
2017-10-22 12:04:28	ga_s2bm_ard_3-2-1_49JHN_2017-10-22_final
2017-11-24 12:13:09	ga_s2bm_ard_3-2-1_49KHQ_2017-11-24_final
2017-12-05 11:46:02	ga_s2bm_ard_3-2-1_50HQK_2017-12-05_final
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_50HQH_2017-12-15_final
2017-12-25 11:46:02	ga_s2bm_ard_3-2-1_50HQK_2017-12-25_final
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_50HQK_2018-01-04_final
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
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_49JGN_2018-02-19_final
2018-04-13 12:13:19	ga_s2bm_ard_3-2-1_49KHP_2018-04-13_final
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_49JHM_2018-05-20_final
2018-08-11 12:13:16	ga_s2bm_ard_3-2-1_49KHQ_2018-08-11_final
2018-08-18 12:03:23	ga_s2bm_ard_3-2-1_49KHS_2018-08-18_final.stac-item
2018-09-20 12:13:14	ga_s2bm_ard_3-2-1_49KHQ_2018-09-20_final
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_50HQH_2018-09-21_final
2018-10-20 12:13:18	ga_s2bm_ard_3-2-1_49KHP_2018-10-20_final
2018-10-21 11:45:13	ga_s2bm_ard_3-2-1_50HQK_2018-10-21_final
2018-11-29 12:14:04	ga_s2bm_ard_3-2-1_49KHQ_2018-11-29_final
2018-11-30 11:46:26	ga_s2bm_ard_3-2-1_50HQK_2018-11-30_final
2018-11-30 11:46:49	ga_s2bm_ard_3-2-1_50HQH_2018-11-30_final
2018-12-07 11:36:28	ga_s2bm_ard_3-2-1_50HQK_2018-12-07_final
2018-12-09 12:14:03	ga_s2bm_ard_3-2-1_49KHQ_2018-12-09_final
2018-12-29 12:14:06	ga_s2bm_ard_3-2-1_49KHQ_2018-12-29_final
2019-01-18 12:14:21	ga_s2bm_ard_3-2-1_49KHP_2019-01-18_final
2019-01-19 11:47:27	ga_s2bm_ard_3-2-1_50HLG_2019-01-19_final.stac-item
2019-02-08 11:47:28	ga_s2bm_ard_3-2-1_50HLG_2019-02-08_final.stac-item
2019-02-18 11:47:27	ga_s2bm_ard_3-2-1_50HLG_2019-02-18_final.stac-item
2019-04-25 12:05:15	ga_s2bm_ard_3-2-1_49JFM_2019-04-25_final
2019-04-28 12:14:16	ga_s2bm_ard_3-2-1_49KHQ_2019-04-28_final
2019-05-18 12:14:13	ga_s2bm_ard_3-2-1_49KHQ_2019-05-18_final
2019-06-08 11:47:34	ga_s2bm_ard_3-2-1_50HLG_2019-06-08_final.stac-item
2019-07-11 11:57:29	ga_s2bm_ard_3-2-1_50HMG_2019-07-11_final.stac-item
2019-08-03 12:05:16	ga_s2bm_ard_3-2-1_49JFM_2019-08-03_final
2019-08-03 12:05:52	ga_s2bm_ard_3-2-1_49JGJ_2019-08-03_final
2019-08-26 12:14:26	ga_s2bm_ard_3-2-1_49KHP_2019-08-26_final
2019-09-06 11:46:56	ga_s2bm_ard_3-2-1_50HQH_2019-09-06_final
2019-09-16 11:47:27	ga_s2bm_ard_3-2-1_50HLG_2019-09-16_final.stac-item
2019-10-26 11:46:31	ga_s2bm_ard_3-2-1_50HQK_2019-10-26_final
2019-10-26 11:46:54	ga_s2bm_ard_3-2-1_50HQH_2019-10-26_final
2019-11-05 11:46:30	ga_s2bm_ard_3-2-1_50HQK_2019-11-05_final
2019-12-12 11:36:36	ga_s2bm_ard_3-2-1_50HQJ_2019-12-12_final
2019-12-15 11:46:17	ga_s2bm_ard_3-2-1_50HQK_2019-12-15_final
2019-12-15 11:46:48	ga_s2bm_ard_3-2-1_50HQH_2019-12-15_final
2020-02-03 11:47:21	ga_s2bm_ard_3-2-1_50HLG_2020-02-03_final.stac-item
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
2020-04-12 12:14:17	ga_s2bm_ard_3-2-1_49KHP_2020-04-12_final
2020-05-22 12:14:11	ga_s2bm_ard_3-2-1_49KHQ_2020-05-22_final
2020-07-11 12:13:41	ga_s2bm_ard_3-2-1_49KHS_2020-07-11_final.stac-item
2020-07-12 11:46:49	ga_s2bm_ard_3-2-1_50HMK_2020-07-12_final
2020-07-31 12:14:22	ga_s2bm_ard_3-2-1_49KHP_2020-07-31_final
2020-07-31 12:14:28	ga_s2bm_ard_3-2-1_49KHP_2020-07-31_final
2020-08-30 12:13:43	ga_s2bm_ard_3-2-1_49KHS_2020-08-30_final.stac-item
2020-08-30 12:14:24	ga_s2bm_ard_3-2-1_49KHP_2020-08-30_final
2020-10-17 11:36:38	ga_s2bm_ard_3-2-1_50HQK_2020-10-17_final
2020-10-19 12:14:25	ga_s2bm_ard_3-2-1_49KHP_2020-10-19_final
2020-11-09 11:47:18	ga_s2bm_ard_3-2-1_50HPG_2020-11-09_final.stac-item
2020-12-06 11:36:36	ga_s2bm_ard_3-2-1_50HQK_2020-12-06_final
2020-12-18 12:14:17	ga_s2bm_ard_3-2-1_49KHP_2020-12-18_final
2021-02-16 12:13:38	ga_s2bm_ard_3-2-1_49KHS_2021-02-16_final.stac-item
2021-02-17 11:46:51	ga_s2bm_ard_3-2-1_50HQH_2021-02-17_final
2021-03-15 12:04:22	ga_s2bm_ard_3-2-1_49KGP_2021-03-15_final
2021-04-27 12:14:40	ga_s2bm_ard_3-2-1_49JFN_2021-04-27_final
2021-08-16 11:47:14	ga_s2bm_ard_3-2-1_50HLH_2021-08-16_final
2021-09-11 12:04:19	ga_s2bm_ard_3-2-1_49KGP_2021-09-11_final
2021-09-24 12:13:42	ga_s2bm_ard_3-2-1_49KHS_2021-09-24_final.stac-item
2021-09-24 12:14:19	ga_s2bm_ard_3-2-1_49KHP_2021-09-24_final
2021-10-15 11:47:29	ga_s2bm_ard_3-2-1_50HLG_2021-10-15_final.stac-item
2021-10-21 12:04:49	ga_s2bm_ard_3-2-1_49JHM_2021-10-21_final
2021-10-24 12:14:22	ga_s2bm_ard_3-2-1_49KHP_2021-10-24_final
2021-11-13 12:14:20	ga_s2bm_ard_3-2-1_49KHP_2021-11-13_final
2021-11-30 12:03:40	ga_s2bm_ard_3-2-1_49KHS_2021-11-30_final.stac-item
2022-01-06 11:57:19	ga_s2bm_ard_3-2-1_50HLG_2022-01-06_final.stac-item
2022-05-02 12:14:15	ga_s2bm_ard_3-2-1_49KHP_2022-05-02_final
2022-05-20 11:37:26	ga_s2bm_ard_3-2-1_50HNG_2022-05-20_final.stac-item
2022-07-12 11:47:32	ga_s2bm_ard_3-2-1_50HLG_2022-07-12_final.stac-item
2022-08-20 12:14:23	ga_s2bm_ard_3-2-1_49KHP_2022-08-20_final
2022-10-19 12:14:20	ga_s2bm_ard_3-2-1_49KHP_2022-10-19_final.stac-item
2022-12-28 12:14:20	ga_s2bm_ard_3-2-1_49KHP_2022-12-28_final.stac-item
2023-01-18 11:47:21	ga_s2bm_ard_3-2-1_50HMG_2023-01-18_final.stac-item
2023-03-08 12:14:24	ga_s2bm_ard_3-2-1_49KHP_2023-03-08_final.stac-item
2023-03-29 11:47:24	ga_s2bm_ard_3-2-1_50HNG_2023-03-29_final.stac-item
2023-06-26 12:14:25	ga_s2bm_ard_3-2-1_49KHP_2023-06-26_final.stac-item
2023-07-06 12:14:26	ga_s2bm_ard_3-2-1_49KHP_2023-07-06_final.stac-item
2023-07-16 12:14:26	ga_s2bm_ard_3-2-1_49KHP_2023-07-16_final.stac-item
2023-08-15 12:13:45	ga_s2bm_ard_3-2-1_49KHS_2023-08-15_final.stac-item
2023-09-04 12:14:26	ga_s2bm_ard_3-2-1_49KHP_2023-09-04_final.stac-item
2023-09-28 11:57:22	ga_s2bm_ard_3-2-1_50HMG_2023-09-28_final.stac-item
2023-10-14 12:14:23	ga_s2bm_ard_3-2-1_49KHP_2023-10-14_final.stac-item
2023-10-24 12:14:18	ga_s2bm_ard_3-2-1_49KHP_2023-10-24_final.stac-item
2024-01-13 11:46:51	ga_s2bm_ard_3-2-1_50HQH_2024-01-13_final.stac-item
2024-02-02 11:46:50	ga_s2bm_ard_3-2-1_50HQH_2024-02-02_final.stac-item
2024-02-11 12:14:22	ga_s2bm_ard_3-2-1_49KHP_2024-02-11_final.stac-item
2024-02-21 12:14:22	ga_s2bm_ard_3-2-1_49KHP_2024-02-21_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