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
2017-07-04 11:59:31	ga_s2bm_ard_3-2-1_49KGQ_2017-07-04_final.stac-item
2017-10-22 12:03:34	ga_s2bm_ard_3-2-1_49KHQ_2017-10-22_final.stac-item
2017-11-01 12:02:36	ga_s2bm_ard_3-2-1_49JHM_2017-11-01_final.stac-item
2017-11-01 12:02:36	ga_s2bm_ard_3-2-1_49KGQ_2017-11-01_final.stac-item
2017-11-04 12:13:08	ga_s2bm_ard_3-2-1_49KHP_2017-11-04_final.stac-item
2018-01-03 12:13:12	ga_s2bm_ard_3-2-1_49KHQ_2018-01-03_final.stac-item
2018-05-10 12:02:48	ga_s2bm_ard_3-2-1_49KGQ_2018-05-10_final.stac-item
2018-06-12 12:13:19	ga_s2bm_ard_3-2-1_49KHP_2018-06-12_final.stac-item
2018-08-08 12:02:45	ga_s2bm_ard_3-2-1_49KGQ_2018-08-08_final.stac-item
2018-08-11 12:13:16	ga_s2bm_ard_3-2-1_49KHP_2018-08-11_final.stac-item
2018-09-27 12:02:43	ga_s2bm_ard_3-2-1_49JGN_2018-09-27_final.stac-item
2018-10-07 12:04:33	ga_s2bm_ard_3-2-1_49JHM_2018-10-07_final.stac-item
2019-02-04 12:04:14	ga_s2bm_ard_3-2-1_49KHQ_2019-02-04_final.stac-item
2019-02-14 12:04:57	ga_s2bm_ard_3-2-1_49JHM_2019-02-14_final.stac-item
2019-02-27 12:14:20	ga_s2bm_ard_3-2-1_49KHP_2019-02-27_final.stac-item
2019-03-16 12:04:11	ga_s2bm_ard_3-2-1_49KHQ_2019-03-16_final.stac-item
2019-04-08 12:14:14	ga_s2bm_ard_3-2-1_49KHQ_2019-04-08_final.stac-item
2019-04-28 12:14:16	ga_s2bm_ard_3-2-1_49KHQ_2019-04-28_final.stac-item
2019-06-14 12:05:04	ga_s2bm_ard_3-2-1_49JHM_2019-06-14_final.stac-item
2019-07-14 12:04:22	ga_s2bm_ard_3-2-1_49KHQ_2019-07-14_final.stac-item
2019-07-14 12:04:27	ga_s2bm_ard_3-2-1_49KGQ_2019-07-14_final.stac-item
2019-08-06 12:14:28	ga_s2bm_ard_3-2-1_49KHP_2019-08-06_final.stac-item
2019-09-09 11:57:07	ga_s2bm_ard_3-2-1_50HMH_2019-09-09_final.stac-item
2019-09-12 12:04:29	ga_s2bm_ard_3-2-1_49KHP_2019-09-12_final.stac-item
2019-10-05 12:14:05	ga_s2bm_ard_3-2-1_49KHQ_2019-10-05_final.stac-item
2019-10-05 12:14:22	ga_s2bm_ard_3-2-1_49KHP_2019-10-05_final.stac-item
2019-11-21 12:04:54	ga_s2bm_ard_3-2-1_49JHM_2019-11-21_final.stac-item
2020-01-23 12:14:02	ga_s2bm_ard_3-2-1_49KHQ_2020-01-23_final.stac-item
2020-01-23 12:14:24	ga_s2bm_ard_3-2-1_49JHN_2020-01-23_final.stac-item
2020-02-29 12:04:54	ga_s2bm_ard_3-2-1_49JHM_2020-02-29_final.stac-item
2020-03-30 12:04:16	ga_s2bm_ard_3-2-1_49KGQ_2020-03-30_final.stac-item
2020-04-19 12:04:08	ga_s2bm_ard_3-2-1_49KHQ_2020-04-19_final.stac-item
2020-07-18 12:05:22	ga_s2bm_ard_3-2-1_49JGK_2020-07-18_final.stac-item
2020-08-24 11:56:44	ga_s2bm_ard_3-2-1_50HLK_2020-08-24_final.stac-item
2020-08-31 11:47:20	ga_s2bm_ard_3-2-1_50HMH_2020-08-31_final.stac-item
2020-09-06 12:04:21	ga_s2bm_ard_3-2-1_49KGQ_2020-09-06_final.stac-item
2020-09-06 12:04:51	ga_s2bm_ard_3-2-1_49JHM_2020-09-06_final.stac-item
2021-01-17 12:14:21	ga_s2bm_ard_3-2-1_49KHP_2021-01-17_final.stac-item
2021-01-31 11:56:36	ga_s2bm_ard_3-2-1_50HMK_2021-01-31_final.stac-item
2021-04-04 12:04:19	ga_s2bm_ard_3-2-1_49KHQ_2021-04-04_final.stac-item
2021-04-07 12:14:06	ga_s2bm_ard_3-2-1_49KHQ_2021-04-07_final.stac-item
2021-09-05 11:47:06	ga_s2bm_ard_3-2-1_50HMH_2021-09-05_final.stac-item
2021-09-25 11:47:12	ga_s2bm_ard_3-2-1_50HLH_2021-09-25_final.stac-item
2021-10-21 12:04:15	ga_s2bm_ard_3-2-1_49KHQ_2021-10-21_final.stac-item
2021-10-31 12:04:58	ga_s2bm_ard_3-2-1_49JHM_2021-10-31_final.stac-item
2021-11-10 12:04:13	ga_s2bm_ard_3-2-1_49KHQ_2021-11-10_final.stac-item
2021-12-10 12:04:37	ga_s2bm_ard_3-2-1_49JHN_2021-12-10_final.stac-item
2021-12-10 12:04:51	ga_s2bm_ard_3-2-1_49JHM_2021-12-10_final.stac-item
2021-12-20 12:04:08	ga_s2bm_ard_3-2-1_49KHQ_2021-12-20_final.stac-item
2021-12-30 12:04:24	ga_s2bm_ard_3-2-1_49KHP_2021-12-30_final.stac-item
2021-12-30 12:04:38	ga_s2bm_ard_3-2-1_49JHN_2021-12-30_final.stac-item
2022-02-22 11:46:35	ga_s2bm_ard_3-2-1_50HMK_2022-02-22_final.stac-item
2022-02-28 12:04:10	ga_s2bm_ard_3-2-1_49KHQ_2022-02-28_final.stac-item
2022-03-10 12:04:11	ga_s2bm_ard_3-2-1_49KHQ_2022-03-10_final.stac-item
2022-03-20 12:04:11	ga_s2bm_ard_3-2-1_49KHQ_2022-03-20_final.stac-item
2022-05-16 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2022-05-16_final.stac-item
2022-06-25 11:57:14	ga_s2bm_ard_3-2-1_50HLH_2022-06-25_final.stac-item
2022-07-02 11:47:00	ga_s2bm_ard_3-2-1_50HMJ_2022-07-02_final.stac-item
2022-07-02 11:47:15	ga_s2bm_ard_3-2-1_50HMH_2022-07-02_final.stac-item
2022-07-25 11:57:11	ga_s2bm_ard_3-2-1_50HMH_2022-07-25_final.stac-item
2022-08-14 11:56:54	ga_s2bm_ard_3-2-1_50HMJ_2022-08-14_final.stac-item
2022-09-06 12:04:15	ga_s2bm_ard_3-2-1_49KHQ_2022-09-06_final.stac-item
2022-09-23 11:56:37	ga_s2bm_ard_3-2-1_50HMK_2022-09-23_final.stac-item
2022-10-06 12:04:11	ga_s2bm_ard_3-2-1_49KHQ_2022-10-06_final.stac-item
2022-10-26 12:04:13	ga_s2bm_ard_3-2-1_49KHQ_2022-10-26_final.stac-item
2022-11-25 12:04:27	ga_s2bm_ard_3-2-1_49KHP_2022-11-25_final.stac-item
2022-12-05 12:04:11	ga_s2bm_ard_3-2-1_49KHQ_2022-12-05_final.stac-item
2022-12-05 12:04:25	ga_s2bm_ard_3-2-1_49KHP_2022-12-05_final.stac-item
2022-12-15 12:04:11	ga_s2bm_ard_3-2-1_49KHQ_2022-12-15_final.stac-item
2022-12-15 12:04:26	ga_s2bm_ard_3-2-1_49KHP_2022-12-15_final.stac-item
2022-12-22 11:56:36	ga_s2bm_ard_3-2-1_50HMK_2022-12-22_final.stac-item
2023-01-01 11:56:39	ga_s2bm_ard_3-2-1_50HLK_2023-01-01_final.stac-item
2023-01-14 12:04:38	ga_s2bm_ard_3-2-1_49JHN_2023-01-14_final.stac-item
2023-02-03 12:04:57	ga_s2bm_ard_3-2-1_49JHM_2023-02-03_final.stac-item
2023-04-04 12:04:30	ga_s2bm_ard_3-2-1_49KHP_2023-04-04_final
2023-04-14 12:04:14	ga_s2bm_ard_3-2-1_49KHQ_2023-04-14_final
2023-04-21 11:57:08	ga_s2bm_ard_3-2-1_50HMH_2023-04-21_final
2023-05-01 11:56:53	ga_s2bm_ard_3-2-1_50HMJ_2023-05-01_final
2023-05-07 12:14:11	ga_s2bm_ard_3-2-1_49KHQ_2023-05-07_final
2023-05-14 12:04:30	ga_s2bm_ard_3-2-1_49KHP_2023-05-14_final
2023-06-30 11:57:00	ga_s2bm_ard_3-2-1_50HLJ_2023-06-30_final
2023-07-13 12:05:01	ga_s2bm_ard_3-2-1_49JHM_2023-07-13_final
2023-07-23 12:04:31	ga_s2bm_ard_3-2-1_49KHP_2023-07-23_final
2023-09-24 12:14:12	ga_s2bm_ard_3-2-1_49KHQ_2023-09-24_final
2023-10-14 12:14:11	ga_s2bm_ard_3-2-1_49KHQ_2023-10-14_final
2023-10-21 12:04:54	ga_s2bm_ard_3-2-1_49JHM_2023-10-21_final
2023-11-10 12:04:30	ga_s2bm_ard_3-2-1_49KHP_2023-11-10_final
2023-11-20 12:04:25	ga_s2bm_ard_3-2-1_49KHP_2023-11-20_final
2023-11-23 12:14:04	ga_s2bm_ard_3-2-1_49KHQ_2023-11-23_final
2023-11-30 12:04:54	ga_s2bm_ard_3-2-1_49JHM_2023-11-30_final
2024-01-29 12:04:26	ga_s2bm_ard_3-2-1_49KHP_2024-01-29_final
2024-01-29 12:04:55	ga_s2bm_ard_3-2-1_49JHM_2024-01-29_final
2024-02-01 12:14:06	ga_s2bm_ard_3-2-1_49KHQ_2024-02-01_final
2024-02-08 12:04:56	ga_s2bm_ard_3-2-1_49JHM_2024-02-08_final
2024-02-28 12:04:22	ga_s2bm_ard_3-2-1_49KHP_2024-02-28_final
2024-02-28 12:04:29	ga_s2bm_ard_3-2-1_49KHP_2024-02-28_final
2024-02-28 12:04:55	ga_s2bm_ard_3-2-1_49JHM_2024-02-28_final
2024-03-09 12:04:20	ga_s2bm_ard_3-2-1_49KHP_2024-03-09_final
2024-03-19 12:04:56	ga_s2bm_ard_3-2-1_49JHM_2024-03-19_final
2024-04-05 11:57:20	ga_s2bm_ard_3-2-1_50HLG_2024-04-05_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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