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
2017-07-17 12:13:21	ga_s2bm_ard_3-2-1_49KHR_2017-07-17_final
2017-07-24 12:02:49	ga_s2bm_ard_3-2-1_49JGN_2017-07-24_final
2017-09-02 12:02:43	ga_s2bm_ard_3-2-1_49JHM_2017-09-02_final
2017-11-11 12:02:35	ga_s2bm_ard_3-2-1_49KGQ_2017-11-11_final
2017-12-31 12:02:39	ga_s2bm_ard_3-2-1_49JGN_2017-12-31_final
2017-12-31 12:02:39	ga_s2bm_ard_3-2-1_49JHN_2017-12-31_final
2018-01-03 12:13:12	ga_s2bm_ard_3-2-1_49KGR_2018-01-03_final
2018-01-10 12:02:41	ga_s2bm_ard_3-2-1_49KGQ_2018-01-10_final
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_49JHM_2018-01-20_final
2018-01-30 12:02:42	ga_s2bm_ard_3-2-1_49JGN_2018-01-30_final
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_49KHP_2018-02-19_final
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_49KGQ_2018-03-21_final
2018-05-13 12:14:07	ga_s2bm_ard_3-2-1_49JGN_2018-05-13_final
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_49JHM_2018-07-09_final
2018-07-12 12:13:20	ga_s2bm_ard_3-2-1_49KGQ_2018-07-12_final
2018-09-10 12:13:12	ga_s2bm_ard_3-2-1_49KGR_2018-09-10_final
2018-10-17 12:03:15	ga_s2bm_ard_3-2-1_49JGL_2018-10-17_final
2018-10-17 12:03:15	ga_s2bm_ard_3-2-1_49KGP_2018-10-17_final
2018-10-30 12:13:26	ga_s2bm_ard_3-2-1_49KGR_2018-10-30_final
2019-01-25 12:04:57	ga_s2bm_ard_3-2-1_49JHM_2019-01-25_final
2019-02-24 12:04:30	ga_s2bm_ard_3-2-1_49KGP_2019-02-24_final
2019-02-27 12:14:07	ga_s2bm_ard_3-2-1_49KHQ_2019-02-27_final
2019-03-16 12:05:20	ga_s2bm_ard_3-2-1_49JGK_2019-03-16_final
2019-03-26 12:04:19	ga_s2bm_ard_3-2-1_49KGQ_2019-03-26_final
2019-05-08 12:14:03	ga_s2bm_ard_3-2-1_49KHR_2019-05-08_final
2019-05-18 12:14:19	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
2019-06-04 12:04:22	ga_s2bm_ard_3-2-1_49KHQ_2019-06-04_final
2019-06-14 12:04:53	ga_s2bm_ard_3-2-1_49JGN_2019-06-14_final
2019-06-17 12:14:49	ga_s2bm_ard_3-2-1_49JGN_2019-06-17_final
2019-07-04 12:04:36	ga_s2bm_ard_3-2-1_49KHP_2019-07-04_final
2019-07-14 12:04:55	ga_s2bm_ard_3-2-1_49JGN_2019-07-14_final
2019-07-18 11:47:36	ga_s2bm_ard_3-2-1_50HLG_2019-07-18_final.stac-item
2019-08-06 12:14:06	ga_s2bm_ard_3-2-1_49KGR_2019-08-06_final
2019-08-13 12:04:20	ga_s2bm_ard_3-2-1_49KHQ_2019-08-13_final
2019-08-13 12:04:34	ga_s2bm_ard_3-2-1_49KHP_2019-08-13_final
2019-08-13 12:04:49	ga_s2bm_ard_3-2-1_49JHN_2019-08-13_final
2019-08-26 12:14:17	ga_s2bm_ard_3-2-1_49KGQ_2019-08-26_final
2019-09-02 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2019-09-02_final.stac-item
2019-09-02 12:04:34	ga_s2bm_ard_3-2-1_49KGP_2019-09-02_final
2019-10-02 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2019-10-02_final
2019-11-11 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2019-11-11_final
2019-12-31 12:04:13	ga_s2bm_ard_3-2-1_49KGQ_2019-12-31_final
2020-02-02 12:14:34	ga_s2bm_ard_3-2-1_49JGN_2020-02-02_final
2020-02-19 12:04:42	ga_s2bm_ard_3-2-1_49JGN_2020-02-19_final
2020-02-29 12:04:40	ga_s2bm_ard_3-2-1_49JHN_2020-02-29_final
2020-04-02 12:14:39	ga_s2bm_ard_3-2-1_49JGN_2020-04-02_final
2020-04-22 12:13:36	ga_s2bm_ard_3-2-1_49KHS_2020-04-22_final.stac-item
2020-04-29 12:04:24	ga_s2bm_ard_3-2-1_49KHP_2020-04-29_final
2020-06-11 12:14:15	ga_s2bm_ard_3-2-1_49KGQ_2020-06-11_final
2020-07-18 12:05:31	ga_s2bm_ard_3-2-1_49JGK_2020-07-18_final
2020-08-07 12:04:44	ga_s2bm_ard_3-2-1_49JHN_2020-08-07_final
2020-08-20 12:14:02	ga_s2bm_ard_3-2-1_49KGR_2020-08-20_final
2020-08-27 12:04:10	ga_s2bm_ard_3-2-1_49KHQ_2020-08-27_final
2020-09-06 12:04:34	ga_s2bm_ard_3-2-1_49KGP_2020-09-06_final
2020-09-09 12:14:01	ga_s2bm_ard_3-2-1_49KGR_2020-09-09_final
2020-09-26 12:04:16	ga_s2bm_ard_3-2-1_49KHQ_2020-09-26_final
2020-10-06 12:05:33	ga_s2bm_ard_3-2-1_49JGK_2020-10-06_final
2020-10-09 12:14:12	ga_s2bm_ard_3-2-1_49KHQ_2020-10-09_final
2020-12-25 12:04:54	ga_s2bm_ard_3-2-1_49JHM_2020-12-25_final
2021-01-04 12:04:41	ga_s2bm_ard_3-2-1_49JHN_2021-01-04_final
2021-01-07 12:14:08	ga_s2bm_ard_3-2-1_49KHQ_2021-01-07_final
2021-01-07 12:14:20	ga_s2bm_ard_3-2-1_49KHP_2021-01-07_final
2021-01-14 12:04:13	ga_s2bm_ard_3-2-1_49KHQ_2021-01-14_final
2021-01-14 12:04:45	ga_s2bm_ard_3-2-1_49JGN_2021-01-14_final
2021-01-24 12:04:13	ga_s2bm_ard_3-2-1_49KHQ_2021-01-24_final
2021-02-23 12:04:16	ga_s2bm_ard_3-2-1_49KGQ_2021-02-23_final
2021-03-15 12:04:47	ga_s2bm_ard_3-2-1_49JHN_2021-03-15_final
2021-04-27 12:14:26	ga_s2bm_ard_3-2-1_49JHN_2021-04-27_final
2021-05-24 12:04:28	ga_s2bm_ard_3-2-1_49KHP_2021-05-24_final
2021-07-26 12:14:00	ga_s2bm_ard_3-2-1_49KGR_2021-07-26_final
2021-08-12 12:04:18	ga_s2bm_ard_3-2-1_49KGQ_2021-08-12_final
2021-09-14 12:14:09	ga_s2bm_ard_3-2-1_49KGQ_2021-09-14_final
2021-10-24 12:14:00	ga_s2bm_ard_3-2-1_49KGR_2021-10-24_final
2021-12-03 12:14:37	ga_s2bm_ard_3-2-1_49JGN_2021-12-03_final
2022-01-09 12:04:42	ga_s2bm_ard_3-2-1_49JGN_2022-01-09_final
2022-01-22 12:13:53	ga_s2bm_ard_3-2-1_49KGR_2022-01-22_final
2022-03-03 12:14:24	ga_s2bm_ard_3-2-1_49KGP_2022-03-03_final
2022-03-30 12:04:45	ga_s2bm_ard_3-2-1_49JGN_2022-03-30_final
2022-05-02 12:13:49	ga_s2bm_ard_3-2-1_49KHR_2022-05-02_final
2022-05-09 12:04:15	ga_s2bm_ard_3-2-1_49KGQ_2022-05-09_final
2022-07-18 12:04:51	ga_s2bm_ard_3-2-1_49JHN_2022-07-18_final
2022-10-09 12:14:11	ga_s2bm_ard_3-2-1_49KGQ_2022-10-09_final.stac-item
2022-10-16 12:04:45	ga_s2bm_ard_3-2-1_49JHN_2022-10-16_final.stac-item
2022-10-19 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2022-10-19_final.stac-item
2022-10-26 12:04:17	ga_s2bm_ard_3-2-1_49KGQ_2022-10-26_final.stac-item
2022-10-26 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2022-10-26_final.stac-item
2022-11-05 12:04:40	ga_s2bm_ard_3-2-1_49JHN_2022-11-05_final.stac-item
2023-03-25 12:04:16	ga_s2bm_ard_3-2-1_49KHQ_2023-03-25_final.stac-item
2023-04-21 11:57:25	ga_s2bm_ard_3-2-1_50HLG_2023-04-21_final.stac-item
2023-05-14 12:04:49	ga_s2bm_ard_3-2-1_49JGN_2023-05-14_final.stac-item
2023-06-13 12:04:51	ga_s2bm_ard_3-2-1_49JGN_2023-06-13_final.stac-item
2023-07-13 12:04:47	ga_s2bm_ard_3-2-1_49JHN_2023-07-13_final.stac-item
2023-09-24 12:13:58	ga_s2bm_ard_3-2-1_49KHR_2023-09-24_final.stac-item
2023-10-01 12:04:48	ga_s2bm_ard_3-2-1_49JGN_2023-10-01_final.stac-item
2023-10-14 12:14:00	ga_s2bm_ard_3-2-1_49KGR_2023-10-14_final.stac-item
2023-10-21 12:05:01	ga_s2bm_ard_3-2-1_49JHM_2023-10-21_final.stac-item
2023-12-10 12:04:39	ga_s2bm_ard_3-2-1_49JHN_2023-12-10_final.stac-item
2023-12-13 12:14:10	ga_s2bm_ard_3-2-1_49KGQ_2023-12-13_final.stac-item
2024-01-19 12:04:17	ga_s2bm_ard_3-2-1_49KGQ_2024-01-19_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