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
2017-07-07 12:14:42	ga_s2bm_ard_3-2-1_49JGM_2017-07-07_final
2017-08-26 12:13:17	ga_s2bm_ard_3-2-1_49KGQ_2017-08-26_final
2017-12-31 12:02:39	ga_s2bm_ard_3-2-1_49KHR_2017-12-31_final
2018-01-30 12:02:42	ga_s2bm_ard_3-2-1_49KHR_2018-01-30_final
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_49JHN_2018-02-19_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_49JHM_2018-03-01_final
2018-03-04 12:13:12	ga_s2bm_ard_3-2-1_49KHQ_2018-03-04_final
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_49KHP_2018-03-11_final
2018-03-14 12:13:13	ga_s2bm_ard_3-2-1_49KHS_2018-03-14_final.stac-item
2018-03-18 11:50:35	ga_s2bm_ard_3-2-1_50HLK_2018-03-18_final
2018-04-13 12:13:19	ga_s2bm_ard_3-2-1_49KHQ_2018-04-13_final
2018-04-27 11:54:58	ga_s2bm_ard_3-2-1_50HLK_2018-04-27_final
2018-05-10 12:05:05	ga_s2bm_ard_3-2-1_49JGK_2018-05-10_final
2018-05-20 12:02:47	ga_s2bm_ard_3-2-1_49KHR_2018-05-20_final
2018-07-02 12:13:20	ga_s2bm_ard_3-2-1_49JGM_2018-07-02_final
2018-07-12 12:13:20	ga_s2bm_ard_3-2-1_49JFM_2018-07-12_final
2018-08-15 11:54:27	ga_s2bm_ard_3-2-1_50HLJ_2018-08-15_final
2018-09-10 12:13:12	ga_s2bm_ard_3-2-1_49JGM_2018-09-10_final
2018-10-24 11:53:29	ga_s2bm_ard_3-2-1_50HLK_2018-10-24_final
2018-12-13 11:56:48	ga_s2bm_ard_3-2-1_50HLJ_2018-12-13_final
2018-12-26 12:04:42	ga_s2bm_ard_3-2-1_49JGN_2018-12-26_final
2019-01-15 12:04:13	ga_s2bm_ard_3-2-1_49KHQ_2019-01-15_final
2019-02-27 12:15:06	ga_s2bm_ard_3-2-1_49JGL_2019-02-27_final
2019-03-29 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2019-03-29_final
2019-03-29 12:15:01	ga_s2bm_ard_3-2-1_49JFM_2019-03-29_final
2019-04-25 12:05:36	ga_s2bm_ard_3-2-1_49JGK_2019-04-25_final
2019-05-05 12:05:23	ga_s2bm_ard_3-2-1_49JGL_2019-05-05_final
2019-05-05 12:05:37	ga_s2bm_ard_3-2-1_49JGK_2019-05-05_final
2019-05-15 12:04:22	ga_s2bm_ard_3-2-1_49KHQ_2019-05-15_final
2019-05-15 12:04:54	ga_s2bm_ard_3-2-1_49JGN_2019-05-15_final
2019-06-27 12:14:03	ga_s2bm_ard_3-2-1_49KHR_2019-06-27_final
2019-06-27 12:14:21	ga_s2bm_ard_3-2-1_49KGQ_2019-06-27_final
2019-08-03 12:05:08	ga_s2bm_ard_3-2-1_49JGM_2019-08-03_final
2019-08-03 12:05:23	ga_s2bm_ard_3-2-1_49JGL_2019-08-03_final
2019-08-16 12:15:02	ga_s2bm_ard_3-2-1_49JGM_2019-08-16_final
2019-08-23 12:04:51	ga_s2bm_ard_3-2-1_49JGN_2019-08-23_final
2019-08-30 11:56:58	ga_s2bm_ard_3-2-1_50HLJ_2019-08-30_final
2019-11-08 11:57:09	ga_s2bm_ard_3-2-1_50HLH_2019-11-08_final
2020-01-10 12:04:13	ga_s2bm_ard_3-2-1_49KGQ_2020-01-10_final
2020-01-13 12:14:21	ga_s2bm_ard_3-2-1_49KGP_2020-01-13_final
2020-02-13 11:47:19	ga_s2bm_ard_3-2-1_50HMG_2020-02-13_final.stac-item
2020-03-03 12:14:53	ga_s2bm_ard_3-2-1_49JGM_2020-03-03_final
2020-03-10 12:04:40	ga_s2bm_ard_3-2-1_49JHN_2020-03-10_final
2020-03-30 12:05:12	ga_s2bm_ard_3-2-1_49JGL_2020-03-30_final
2020-06-05 11:56:42	ga_s2bm_ard_3-2-1_50HLK_2020-06-05_final
2020-07-25 11:57:11	ga_s2bm_ard_3-2-1_50HLH_2020-07-25_final
2020-07-28 12:05:32	ga_s2bm_ard_3-2-1_49JGK_2020-07-28_final
2020-08-20 12:13:43	ga_s2bm_ard_3-2-1_49KHS_2020-08-20_final.stac-item
2020-08-24 11:57:13	ga_s2bm_ard_3-2-1_50HLH_2020-08-24_final
2020-08-27 12:05:18	ga_s2bm_ard_3-2-1_49JGL_2020-08-27_final
2020-09-19 12:14:14	ga_s2bm_ard_3-2-1_49KGQ_2020-09-19_final
2020-10-16 12:04:32	ga_s2bm_ard_3-2-1_49KHP_2020-10-16_final
2020-11-08 12:14:23	ga_s2bm_ard_3-2-1_49KHP_2020-11-08_final
2020-12-12 11:57:06	ga_s2bm_ard_3-2-1_50HLH_2020-12-12_final
2020-12-28 12:14:39	ga_s2bm_ard_3-2-1_49JGN_2020-12-28_final
2021-01-11 11:57:22	ga_s2bm_ard_3-2-1_50HLG_2021-01-11_final.stac-item
2021-01-21 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2021-01-21_final
2021-01-27 12:13:40	ga_s2bm_ard_3-2-1_49KHS_2021-01-27_final.stac-item
2021-02-23 12:04:59	ga_s2bm_ard_3-2-1_49JGM_2021-02-23_final
2021-02-23 12:05:07	ga_s2bm_ard_3-2-1_49JFM_2021-02-23_final
2021-04-07 12:14:57	ga_s2bm_ard_3-2-1_49JFM_2021-04-07_final
2021-04-14 12:04:17	ga_s2bm_ard_3-2-1_49KHQ_2021-04-14_final
2021-04-14 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2021-04-14_final
2021-04-17 12:14:37	ga_s2bm_ard_3-2-1_49JGN_2021-04-17_final
2021-04-27 12:14:08	ga_s2bm_ard_3-2-1_49KGQ_2021-04-27_final
2021-05-14 12:04:46	ga_s2bm_ard_3-2-1_49JHM_2021-05-14_final
2021-05-14 12:05:43	ga_s2bm_ard_3-2-1_49JGJ_2021-05-14_final
2021-05-27 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2021-05-27_final
2021-07-03 12:04:19	ga_s2bm_ard_3-2-1_49KGQ_2021-07-03_final
2021-07-23 12:04:20	ga_s2bm_ard_3-2-1_49KGQ_2021-07-23_final
2021-07-26 12:14:29	ga_s2bm_ard_3-2-1_49KGP_2021-07-26_final
2021-08-02 12:04:49	ga_s2bm_ard_3-2-1_49JHN_2021-08-02_final
2021-08-05 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2021-08-05_final
2021-09-01 12:04:10	ga_s2bm_ard_3-2-1_49KHQ_2021-09-01_final
2021-09-04 12:14:52	ga_s2bm_ard_3-2-1_49JGM_2021-09-04_final
2021-10-11 12:05:16	ga_s2bm_ard_3-2-1_49JGL_2021-10-11_final
2021-10-21 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2021-10-21_final.stac-item
2021-11-03 12:13:55	ga_s2bm_ard_3-2-1_49KHR_2021-11-03_final
2021-11-03 12:14:28	ga_s2bm_ard_3-2-1_49KGP_2021-11-03_final
2021-11-04 11:47:15	ga_s2bm_ard_3-2-1_50HLH_2021-11-04_final
2022-01-02 12:13:54	ga_s2bm_ard_3-2-1_49KGR_2022-01-02_final
2022-01-12 12:13:54	ga_s2bm_ard_3-2-1_49KGR_2022-01-12_final
2022-02-21 12:14:53	ga_s2bm_ard_3-2-1_49JFM_2022-02-21_final
2022-09-06 12:04:58	ga_s2bm_ard_3-2-1_49JHM_2022-09-06_final.stac-item
2022-09-13 11:57:11	ga_s2bm_ard_3-2-1_50HLH_2022-09-13_final.stac-item
2022-10-23 11:57:09	ga_s2bm_ard_3-2-1_50HLH_2022-10-23_final.stac-item
2023-01-14 12:04:14	ga_s2bm_ard_3-2-1_49KGQ_2023-01-14_final.stac-item
2023-01-17 12:13:55	ga_s2bm_ard_3-2-1_49KGR_2023-01-17_final.stac-item
2023-01-24 12:04:16	ga_s2bm_ard_3-2-1_49KGQ_2023-01-24_final.stac-item
2023-02-03 12:04:15	ga_s2bm_ard_3-2-1_49KGQ_2023-02-03_final.stac-item
2023-03-25 12:03:47	ga_s2bm_ard_3-2-1_49KHS_2023-03-25_final.stac-item
2023-03-25 12:04:21	ga_s2bm_ard_3-2-1_49KGQ_2023-03-25_final.stac-item
2023-05-14 12:05:04	ga_s2bm_ard_3-2-1_49JGM_2023-05-14_final.stac-item
2023-08-25 12:13:44	ga_s2bm_ard_3-2-1_49KHS_2023-08-25_final.stac-item
2023-09-01 12:05:05	ga_s2bm_ard_3-2-1_49JGM_2023-09-01_final.stac-item
2023-09-21 12:05:18	ga_s2bm_ard_3-2-1_49JGL_2023-09-21_final.stac-item
2023-10-08 11:57:10	ga_s2bm_ard_3-2-1_50HLH_2023-10-08_final.stac-item
2024-01-02 12:14:13	ga_s2bm_ard_3-2-1_49KGQ_2024-01-02_final.stac-item
2024-01-02 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2024-01-02_final.stac-item
2024-02-18 12:05:20	ga_s2bm_ard_3-2-1_49JGL_2024-02-18_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