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_49JGL_2017-07-07_final
2017-07-27 12:13:43	ga_s2bm_ard_3-2-1_49KHR_2017-07-27_final
2017-08-06 12:13:20	ga_s2bm_ard_3-2-1_49JGM_2017-08-06_final
2017-08-06 12:13:20	ga_s2bm_ard_3-2-1_49KGP_2017-08-06_final
2017-10-05 12:13:31	ga_s2bm_ard_3-2-1_49KHR_2017-10-05_final
2017-11-14 12:13:08	ga_s2bm_ard_3-2-1_49KGQ_2017-11-14_final
2018-01-10 12:02:41	ga_s2bm_ard_3-2-1_49JGN_2018-01-10_final
2018-01-30 12:02:42	ga_s2bm_ard_3-2-1_49KGP_2018-01-30_final
2018-02-12 12:13:14	ga_s2bm_ard_3-2-1_49KGQ_2018-02-12_final
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_49JHN_2018-02-19_final
2018-03-04 12:13:52	ga_s2bm_ard_3-2-1_49KHQ_2018-03-04_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_49KHQ_2018-03-31_final
2018-04-03 12:13:18	ga_s2bm_ard_3-2-1_49KGR_2018-04-03_final
2018-05-17 11:49:25	ga_s2bm_ard_3-2-1_50HLG_2018-05-17_final.stac-item
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50HLH_2018-06-06_final
2018-06-12 12:13:19	ga_s2bm_ard_3-2-1_49KGP_2018-06-12_final
2018-07-19 12:03:30	ga_s2bm_ard_3-2-1_49JGN_2018-07-19_final
2018-07-19 12:03:30	ga_s2bm_ard_3-2-1_49KHR_2018-07-19_final
2018-08-28 12:02:40	ga_s2bm_ard_3-2-1_49KHP_2018-08-28_final
2018-09-27 12:02:43	ga_s2bm_ard_3-2-1_49KHS_2018-09-27_final.stac-item
2018-10-11 11:41:47	ga_s2bm_ard_3-2-1_50HLH_2018-10-11_final
2018-12-16 12:03:39	ga_s2bm_ard_3-2-1_49KHS_2018-12-16_final.stac-item
2018-12-26 12:04:10	ga_s2bm_ard_3-2-1_49KHQ_2018-12-26_final
2019-01-08 12:14:07	ga_s2bm_ard_3-2-1_49KHQ_2019-01-08_final
2019-01-18 12:13:58	ga_s2bm_ard_3-2-1_49KGR_2019-01-18_final
2019-02-27 12:13:53	ga_s2bm_ard_3-2-1_49KHR_2019-02-27_final
2019-03-29 12:15:01	ga_s2bm_ard_3-2-1_49JFM_2019-03-29_final
2019-05-12 11:56:49	ga_s2bm_ard_3-2-1_50HLK_2019-05-12_final
2019-07-17 12:15:05	ga_s2bm_ard_3-2-1_49JGM_2019-07-17_final
2019-08-23 12:04:47	ga_s2bm_ard_3-2-1_49JHN_2019-08-23_final
2019-08-26 12:13:58	ga_s2bm_ard_3-2-1_49KGR_2019-08-26_final
2019-08-26 12:14:46	ga_s2bm_ard_3-2-1_49JGN_2019-08-26_final
2019-09-19 11:56:39	ga_s2bm_ard_3-2-1_50HLK_2019-09-19_final
2019-09-25 12:14:41	ga_s2bm_ard_3-2-1_49JGN_2019-09-25_final
2019-09-29 11:57:21	ga_s2bm_ard_3-2-1_50HMG_2019-09-29_final.stac-item
2019-10-05 12:13:55	ga_s2bm_ard_3-2-1_49KHR_2019-10-05_final
2019-11-08 11:57:23	ga_s2bm_ard_3-2-1_50HLG_2019-11-08_final.stac-item
2019-11-18 11:57:07	ga_s2bm_ard_3-2-1_50HLH_2019-11-18_final
2019-12-08 11:56:34	ga_s2bm_ard_3-2-1_50HLK_2019-12-08_final
2019-12-21 12:03:39	ga_s2bm_ard_3-2-1_49KHS_2019-12-21_final.stac-item
2019-12-25 11:47:22	ga_s2bm_ard_3-2-1_50HLG_2019-12-25_final.stac-item
2020-01-23 12:14:06	ga_s2bm_ard_3-2-1_49KGQ_2020-01-23_final
2020-03-03 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2020-03-03_final
2020-03-03 12:14:39	ga_s2bm_ard_3-2-1_49JGN_2020-03-03_final
2020-05-02 12:13:55	ga_s2bm_ard_3-2-1_49KGR_2020-05-02_final
2020-06-01 12:14:23	ga_s2bm_ard_3-2-1_49KHP_2020-06-01_final
2020-06-02 11:47:16	ga_s2bm_ard_3-2-1_50HLH_2020-06-02_final
2020-06-05 11:57:25	ga_s2bm_ard_3-2-1_50HLG_2020-06-05_final.stac-item
2020-07-11 12:14:43	ga_s2bm_ard_3-2-1_49JGN_2020-07-11_final
2020-07-28 12:05:32	ga_s2bm_ard_3-2-1_49JGK_2020-07-28_final
2020-09-19 12:14:14	ga_s2bm_ard_3-2-1_49KGQ_2020-09-19_final
2020-10-26 12:04:21	ga_s2bm_ard_3-2-1_49KGQ_2020-10-26_final
2020-11-15 12:04:32	ga_s2bm_ard_3-2-1_49KGP_2020-11-15_final
2020-12-12 11:56:37	ga_s2bm_ard_3-2-1_50HLK_2020-12-12_final
2020-12-18 12:14:04	ga_s2bm_ard_3-2-1_49KHQ_2020-12-18_final
2020-12-25 12:04:11	ga_s2bm_ard_3-2-1_49KHQ_2020-12-25_final
2020-12-25 12:04:25	ga_s2bm_ard_3-2-1_49KHP_2020-12-25_final
2021-01-21 11:57:04	ga_s2bm_ard_3-2-1_50HLH_2021-01-21_final
2021-03-15 12:04:21	ga_s2bm_ard_3-2-1_49KHP_2021-03-15_final
2021-03-18 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2021-03-18_final
2021-03-28 12:14:25	ga_s2bm_ard_3-2-1_49KGP_2021-03-28_final
2021-04-04 12:04:29	ga_s2bm_ard_3-2-1_49KGP_2021-04-04_final
2021-05-11 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2021-05-11_final
2021-07-03 12:04:15	ga_s2bm_ard_3-2-1_49KHQ_2021-07-03_final
2021-07-03 12:04:24	ga_s2bm_ard_3-2-1_49KGQ_2021-07-03_final
2021-07-06 12:14:14	ga_s2bm_ard_3-2-1_49KGQ_2021-07-06_final
2021-07-16 12:13:56	ga_s2bm_ard_3-2-1_49KHR_2021-07-16_final
2021-07-16 12:14:15	ga_s2bm_ard_3-2-1_49KGQ_2021-07-16_final
2021-08-22 12:04:17	ga_s2bm_ard_3-2-1_49KGQ_2021-08-22_final
2021-08-25 12:13:39	ga_s2bm_ard_3-2-1_49KHS_2021-08-25_final.stac-item
2021-09-04 12:14:23	ga_s2bm_ard_3-2-1_49KGP_2021-09-04_final
2021-11-03 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2021-11-03_final
2021-11-13 12:14:26	ga_s2bm_ard_3-2-1_49KGP_2021-11-13_final
2022-02-01 12:14:07	ga_s2bm_ard_3-2-1_49KGQ_2022-02-01_final
2022-04-19 12:04:35	ga_s2bm_ard_3-2-1_49JHN_2022-04-19_final
2022-04-29 12:04:34	ga_s2bm_ard_3-2-1_49JGN_2022-04-29_final
2022-05-09 12:05:12	ga_s2bm_ard_3-2-1_49JGL_2022-05-09_final
2022-06-02 11:47:14	ga_s2bm_ard_3-2-1_50HLH_2022-06-02_final
2022-07-08 12:04:51	ga_s2bm_ard_3-2-1_49JHN_2022-07-08_final
2022-07-11 12:14:17	ga_s2bm_ard_3-2-1_49KGQ_2022-07-11_final
2022-08-17 12:04:30	ga_s2bm_ard_3-2-1_49KHP_2022-08-17_final
2022-08-27 12:03:59	ga_s2bm_ard_3-2-1_49KHR_2022-08-27_final
2022-12-08 12:14:09	ga_s2bm_ard_3-2-1_49KGQ_2022-12-08_final.stac-item
2022-12-18 12:13:57	ga_s2bm_ard_3-2-1_49KGR_2022-12-18_final.stac-item
2023-03-08 12:14:45	ga_s2bm_ard_3-2-1_49JGN_2023-03-08_final.stac-item
2023-04-04 12:04:38	ga_s2bm_ard_3-2-1_49KGP_2023-04-04_final.stac-item
2023-04-07 12:14:01	ga_s2bm_ard_3-2-1_49KGR_2023-04-07_final.stac-item
2023-04-27 12:14:28	ga_s2bm_ard_3-2-1_49KGP_2023-04-27_final.stac-item
2023-04-27 12:15:01	ga_s2bm_ard_3-2-1_49JFM_2023-04-27_final.stac-item
2023-06-26 12:14:46	ga_s2bm_ard_3-2-1_49JGN_2023-06-26_final.stac-item
2023-08-05 12:13:59	ga_s2bm_ard_3-2-1_49KHR_2023-08-05_final.stac-item
2023-08-12 12:05:35	ga_s2bm_ard_3-2-1_49JGK_2023-08-12_final.stac-item
2023-08-25 12:14:45	ga_s2bm_ard_3-2-1_49JGN_2023-08-25_final.stac-item
2023-09-24 12:14:16	ga_s2bm_ard_3-2-1_49KGQ_2023-09-24_final.stac-item
2023-10-11 12:04:27	ga_s2bm_ard_3-2-1_49KGP_2023-10-11_final.stac-item
2024-01-02 12:14:13	ga_s2bm_ard_3-2-1_49KGQ_2024-01-02_final.stac-item
2024-01-26 11:56:40	ga_s2bm_ard_3-2-1_50HLK_2024-01-26_final.stac-item
2024-03-02 12:13:55	ga_s2bm_ard_3-2-1_49KGR_2024-03-02_final.stac-item
2024-04-01 12:14:26	ga_s2bm_ard_3-2-1_49KGP_2024-04-01_final.stac-item
2024-05-01 12:14:41	ga_s2bm_ard_3-2-1_49JGN_2024-05-01_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