Search ga_s2bm_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n 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\n\n(e.g. ‘epsg:32654’)\n:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n from:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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.\nFor Sentinel it is MGRS code.\n:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n to (exclusive):

Unique identifier for a datastrip relative to a given Datatake.\n\n(e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’)\n:

ESA product URI, with the '.SAFE' ending removed.\n\n(e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845')\n:

Granule ID according to the ESA naming convention\n\n(e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’)\n:

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_49KHP_2017-07-17_final.stac-item
2017-08-03 12:04:41	ga_s2bm_ard_3-2-1_50JLR_2017-08-03_final.stac-item
2017-08-26 12:13:17	ga_s2bm_ard_3-2-1_49KHQ_2017-08-26_final.stac-item
2017-09-15 12:13:36	ga_s2bm_ard_3-2-1_49KHP_2017-09-15_final.stac-item
2017-10-12 12:02:35	ga_s2bm_ard_3-2-1_50JLR_2017-10-12_final.stac-item
2017-11-01 12:02:36	ga_s2bm_ard_3-2-1_50JLR_2017-11-01_final.stac-item
2017-11-05 11:37:39	ga_s2bm_ard_3-2-1_50HQH_2017-11-05_final.stac-item
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_50HQH_2017-11-25_final.stac-item
2018-01-10 12:02:41	ga_s2bm_ard_3-2-1_50JLR_2018-01-10_final.stac-item
2018-05-13 12:14:07	ga_s2bm_ard_3-2-1_49KHQ_2018-05-13_final.stac-item
2018-05-23 12:13:19	ga_s2bm_ard_3-2-1_49KHP_2018-05-23_final.stac-item
2018-06-22 12:13:20	ga_s2bm_ard_3-2-1_49KHP_2018-06-22_final.stac-item
2018-07-02 12:13:20	ga_s2bm_ard_3-2-1_49KHP_2018-07-02_final.stac-item
2018-07-19 12:03:30	ga_s2bm_ard_3-2-1_50JKR_2018-07-19_final.stac-item
2018-10-17 12:03:15	ga_s2bm_ard_3-2-1_50JKR_2018-10-17_final.stac-item
2018-11-16 12:05:06	ga_s2bm_ard_3-2-1_49JFM_2018-11-16_final.stac-item
2019-02-24 12:05:07	ga_s2bm_ard_3-2-1_50JLR_2019-02-24_final.stac-item
2019-04-05 12:05:11	ga_s2bm_ard_3-2-1_50JLR_2019-04-05_final.stac-item
2019-04-25 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2019-04-25_final.stac-item
2019-04-28 12:14:28	ga_s2bm_ard_3-2-1_49KHP_2019-04-28_final.stac-item
2019-07-14 12:05:20	ga_s2bm_ard_3-2-1_50JKR_2019-07-14_final.stac-item
2019-08-27 11:46:58	ga_s2bm_ard_3-2-1_50HQH_2019-08-27_final.stac-item
2019-09-05 12:14:24	ga_s2bm_ard_3-2-1_49KHP_2019-09-05_final.stac-item
2019-10-15 12:14:22	ga_s2bm_ard_3-2-1_49KHP_2019-10-15_final.stac-item
2019-10-25 12:14:22	ga_s2bm_ard_3-2-1_49KHP_2019-10-25_final.stac-item
2019-11-04 12:14:21	ga_s2bm_ard_3-2-1_49KHP_2019-11-04_final.stac-item
2019-11-24 12:14:18	ga_s2bm_ard_3-2-1_49KHP_2019-11-24_final.stac-item
2019-12-04 12:14:15	ga_s2bm_ard_3-2-1_49KHP_2019-12-04_final.stac-item
2019-12-11 12:04:48	ga_s2bm_ard_3-2-1_50JLS_2019-12-11_final.stac-item
2019-12-21 12:04:49	ga_s2bm_ard_3-2-1_50JLS_2019-12-21_final.stac-item
2019-12-28 11:55:08	ga_s2bm_ard_3-2-1_50JLR_2019-12-28_final.stac-item
2019-12-31 12:04:49	ga_s2bm_ard_3-2-1_50JLS_2019-12-31_final.stac-item
2020-01-07 11:55:07	ga_s2bm_ard_3-2-1_50JLR_2020-01-07_final.stac-item
2020-01-20 12:04:47	ga_s2bm_ard_3-2-1_50JLS_2020-01-20_final.stac-item
2020-02-29 12:04:51	ga_s2bm_ard_3-2-1_50JLS_2020-02-29_final.stac-item
2020-03-10 12:05:10	ga_s2bm_ard_3-2-1_50JKR_2020-03-10_final.stac-item
2020-04-09 12:04:50	ga_s2bm_ard_3-2-1_50JLS_2020-04-09_final.stac-item
2020-05-22 12:14:21	ga_s2bm_ard_3-2-1_49KHP_2020-05-22_final.stac-item
2020-06-08 12:05:14	ga_s2bm_ard_3-2-1_50JKR_2020-06-08_final.stac-item
2020-07-08 12:05:28	ga_s2bm_ard_3-2-1_50JLQ_2020-07-08_final.stac-item
2020-07-18 12:05:13	ga_s2bm_ard_3-2-1_50JKR_2020-07-18_final.stac-item
2020-07-21 12:14:23	ga_s2bm_ard_3-2-1_49KHP_2020-07-21_final.stac-item
2020-07-25 11:55:00	ga_s2bm_ard_3-2-1_50JLS_2020-07-25_final.stac-item
2020-07-28 12:05:11	ga_s2bm_ard_3-2-1_50JLR_2020-07-28_final.stac-item
2020-07-31 12:14:22	ga_s2bm_ard_3-2-1_49KHP_2020-07-31_final.stac-item
2020-09-06 12:05:11	ga_s2bm_ard_3-2-1_50JLR_2020-09-06_final.stac-item
2020-09-13 11:55:15	ga_s2bm_ard_3-2-1_50JLR_2020-09-13_final.stac-item
2020-09-23 11:55:15	ga_s2bm_ard_3-2-1_50JLR_2020-09-23_final.stac-item
2020-10-16 12:04:51	ga_s2bm_ard_3-2-1_50JKS_2020-10-16_final.stac-item
2020-10-16 12:05:12	ga_s2bm_ard_3-2-1_50JLR_2020-10-16_final.stac-item
2020-11-09 11:46:55	ga_s2bm_ard_3-2-1_50HQH_2020-11-09_final.stac-item
2020-11-25 12:05:08	ga_s2bm_ard_3-2-1_50JLR_2020-11-25_final.stac-item
2020-12-05 12:05:10	ga_s2bm_ard_3-2-1_50JKR_2020-12-05_final.stac-item
2021-01-21 11:55:12	ga_s2bm_ard_3-2-1_50JLR_2021-01-21_final.stac-item
2021-01-31 11:55:12	ga_s2bm_ard_3-2-1_50JLR_2021-01-31_final.stac-item
2021-02-10 11:55:45	ga_s2bm_ard_3-2-1_50JKP_2021-02-10_final.stac-item
2021-02-23 12:05:07	ga_s2bm_ard_3-2-1_49JFM_2021-02-23_final.stac-item
2021-02-23 12:05:10	ga_s2bm_ard_3-2-1_50JKR_2021-02-23_final.stac-item
2021-03-25 12:05:11	ga_s2bm_ard_3-2-1_50JKR_2021-03-25_final.stac-item
2021-04-04 12:04:20	ga_s2bm_ard_3-2-1_49KGP_2021-04-04_final.stac-item
2021-04-04 12:05:09	ga_s2bm_ard_3-2-1_50JKR_2021-04-04_final.stac-item
2021-05-21 11:54:58	ga_s2bm_ard_3-2-1_50JLS_2021-05-21_final.stac-item
2021-06-13 12:04:47	ga_s2bm_ard_3-2-1_50JLS_2021-06-13_final.stac-item
2021-10-01 12:04:46	ga_s2bm_ard_3-2-1_50JLS_2021-10-01_final.stac-item
2021-10-14 12:14:28	ga_s2bm_ard_3-2-1_49KHP_2021-10-14_final.stac-item
2021-11-07 11:54:58	ga_s2bm_ard_3-2-1_50JLS_2021-11-07_final.stac-item
2021-11-10 12:04:53	ga_s2bm_ard_3-2-1_50JLS_2021-11-10_final.stac-item
2021-11-27 11:54:53	ga_s2bm_ard_3-2-1_50JLS_2021-11-27_final.stac-item
2021-12-07 11:54:53	ga_s2bm_ard_3-2-1_50JLS_2021-12-07_final.stac-item
2021-12-20 12:05:03	ga_s2bm_ard_3-2-1_49JFM_2021-12-20_final.stac-item
2021-12-30 12:05:08	ga_s2bm_ard_3-2-1_50JKR_2021-12-30_final.stac-item
2022-01-19 12:05:03	ga_s2bm_ard_3-2-1_50JLR_2022-01-19_final.stac-item
2022-05-16 11:55:12	ga_s2bm_ard_3-2-1_50JLR_2022-05-16_final.stac-item
2022-05-19 12:04:53	ga_s2bm_ard_3-2-1_50JLS_2022-05-19_final.stac-item
2022-07-05 11:55:18	ga_s2bm_ard_3-2-1_50JLR_2022-07-05_final.stac-item
2022-08-07 12:05:12	ga_s2bm_ard_3-2-1_50JLR_2022-08-07_final.stac-item
2022-10-13 11:55:11	ga_s2bm_ard_3-2-1_50JLR_2022-10-13_final.stac-item
2022-10-23 11:54:57	ga_s2bm_ard_3-2-1_50JLS_2022-10-23_final.stac-item
2022-10-26 12:05:07	ga_s2bm_ard_3-2-1_50JLR_2022-10-26_final.stac-item
2022-11-05 12:05:06	ga_s2bm_ard_3-2-1_50JLR_2022-11-05_final.stac-item
2022-11-15 12:05:08	ga_s2bm_ard_3-2-1_50JLR_2022-11-15_final.stac-item
2022-11-22 11:54:57	ga_s2bm_ard_3-2-1_50JLS_2022-11-22_final.stac-item
2022-11-25 12:04:53	ga_s2bm_ard_3-2-1_50JLS_2022-11-25_final.stac-item
2022-12-05 12:04:51	ga_s2bm_ard_3-2-1_50JLS_2022-12-05_final.stac-item
2022-12-25 12:05:07	ga_s2bm_ard_3-2-1_50JLR_2022-12-25_final.stac-item
2023-01-04 12:05:06	ga_s2bm_ard_3-2-1_50JLR_2023-01-04_final.stac-item
2023-01-04 12:05:10	ga_s2bm_ard_3-2-1_50JKR_2023-01-04_final.stac-item
2023-01-11 11:54:54	ga_s2bm_ard_3-2-1_50JLS_2023-01-11_final.stac-item
2023-01-14 12:05:04	ga_s2bm_ard_3-2-1_50JLR_2023-01-14_final.stac-item
2023-02-03 12:04:49	ga_s2bm_ard_3-2-1_50JLS_2023-02-03_final.stac-item
2023-02-20 11:54:57	ga_s2bm_ard_3-2-1_50JLS_2023-02-20_final
2023-06-10 11:55:18	ga_s2bm_ard_3-2-1_50JLR_2023-06-10_final
2023-07-16 12:14:26	ga_s2bm_ard_3-2-1_49KHP_2023-07-16_final
2023-08-09 11:55:18	ga_s2bm_ard_3-2-1_50JLR_2023-08-09_final
2024-02-11 12:13:40	ga_s2bm_ard_3-2-1_49KHS_2024-02-11_final
2024-03-09 12:05:03	ga_s2bm_ard_3-2-1_50JLR_2024-03-09_final
2024-03-26 11:55:13	ga_s2bm_ard_3-2-1_50JLR_2024-03-26_final
2024-04-05 11:55:10	ga_s2bm_ard_3-2-1_50JLR_2024-04-05_final
2024-04-15 11:55:14	ga_s2bm_ard_3-2-1_50JLR_2024-04-15_final
2024-04-18 12:05:09	ga_s2bm_ard_3-2-1_49JFM_2024-04-18_final

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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

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