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
2017-10-22 12:03:34	ga_s2bm_ard_3-2-1_49KHR_2017-10-22_final.stac-item
2017-11-04 12:13:08	ga_s2bm_ard_3-2-1_49KHR_2017-11-04_final.stac-item
2017-11-11 12:02:35	ga_s2bm_ard_3-2-1_49KHQ_2017-11-11_final.stac-item
2017-11-24 12:13:09	ga_s2bm_ard_3-2-1_49JFM_2017-11-24_final.stac-item
2017-12-14 12:13:09	ga_s2bm_ard_3-2-1_49JGL_2017-12-14_final.stac-item
2017-12-14 12:13:09	ga_s2bm_ard_3-2-1_49KHQ_2017-12-14_final.stac-item
2018-06-22 12:13:20	ga_s2bm_ard_3-2-1_49KGQ_2018-06-22_final.stac-item
2018-09-27 12:02:43	ga_s2bm_ard_3-2-1_49JGL_2018-09-27_final.stac-item
2018-09-27 12:02:43	ga_s2bm_ard_3-2-1_49KHR_2018-09-27_final.stac-item
2018-10-07 12:02:45	ga_s2bm_ard_3-2-1_49KHP_2018-10-07_final.stac-item
2018-10-20 12:13:18	ga_s2bm_ard_3-2-1_49JGN_2018-10-20_final.stac-item
2018-11-16 12:04:54	ga_s2bm_ard_3-2-1_49JHM_2018-11-16_final.stac-item
2018-11-26 12:04:27	ga_s2bm_ard_3-2-1_49KGP_2018-11-26_final.stac-item
2018-11-26 12:04:53	ga_s2bm_ard_3-2-1_49JHM_2018-11-26_final.stac-item
2018-12-19 12:14:16	ga_s2bm_ard_3-2-1_49KHP_2018-12-19_final.stac-item
2018-12-19 12:14:36	ga_s2bm_ard_3-2-1_49JGN_2018-12-19_final.stac-item
2019-02-07 12:13:55	ga_s2bm_ard_3-2-1_49KHR_2019-02-07_final.stac-item
2019-02-07 12:14:13	ga_s2bm_ard_3-2-1_49KGQ_2019-02-07_final.stac-item
2019-02-27 12:14:07	ga_s2bm_ard_3-2-1_49KHQ_2019-02-27_final.stac-item
2019-02-27 12:14:30	ga_s2bm_ard_3-2-1_49JHN_2019-02-27_final.stac-item
2019-08-06 12:14:06	ga_s2bm_ard_3-2-1_49KGR_2019-08-06_final.stac-item
2019-08-30 11:57:13	ga_s2bm_ard_3-2-1_50HLH_2019-08-30_final.stac-item
2019-09-02 12:04:17	ga_s2bm_ard_3-2-1_49KHQ_2019-09-02_final.stac-item
2019-09-15 12:14:21	ga_s2bm_ard_3-2-1_49KHP_2019-09-15_final.stac-item
2019-10-15 12:14:10	ga_s2bm_ard_3-2-1_49KHQ_2019-10-15_final.stac-item
2019-10-15 12:14:28	ga_s2bm_ard_3-2-1_49KGP_2019-10-15_final.stac-item
2019-10-22 12:04:19	ga_s2bm_ard_3-2-1_49KGQ_2019-10-22_final.stac-item
2019-11-11 12:04:56	ga_s2bm_ard_3-2-1_49JHM_2019-11-11_final.stac-item
2019-11-21 12:04:29	ga_s2bm_ard_3-2-1_49KGP_2019-11-21_final.stac-item
2019-11-24 12:14:05	ga_s2bm_ard_3-2-1_49KHQ_2019-11-24_final.stac-item
2019-12-04 12:13:52	ga_s2bm_ard_3-2-1_49KGR_2019-12-04_final.stac-item
2019-12-11 12:04:22	ga_s2bm_ard_3-2-1_49KHP_2019-12-11_final.stac-item
2019-12-11 12:04:25	ga_s2bm_ard_3-2-1_49KGP_2019-12-11_final.stac-item
2019-12-14 12:14:16	ga_s2bm_ard_3-2-1_49KHP_2019-12-14_final.stac-item
2019-12-31 12:03:54	ga_s2bm_ard_3-2-1_49KHR_2019-12-31_final.stac-item
2020-01-23 12:14:02	ga_s2bm_ard_3-2-1_49KHQ_2020-01-23_final.stac-item
2020-02-12 12:14:04	ga_s2bm_ard_3-2-1_49KHQ_2020-02-12_final.stac-item
2020-02-22 12:14:05	ga_s2bm_ard_3-2-1_49KHQ_2020-02-22_final.stac-item
2020-02-22 12:14:23	ga_s2bm_ard_3-2-1_49KGP_2020-02-22_final.stac-item
2020-04-02 12:14:18	ga_s2bm_ard_3-2-1_49KHP_2020-04-02_final.stac-item
2020-04-09 12:04:15	ga_s2bm_ard_3-2-1_49KGQ_2020-04-09_final.stac-item
2020-07-18 12:04:15	ga_s2bm_ard_3-2-1_49KHQ_2020-07-18_final.stac-item
2020-07-21 12:14:12	ga_s2bm_ard_3-2-1_49KHQ_2020-07-21_final.stac-item
2020-07-21 12:14:15	ga_s2bm_ard_3-2-1_49KGQ_2020-07-21_final.stac-item
2020-07-21 12:14:23	ga_s2bm_ard_3-2-1_49KHP_2020-07-21_final.stac-item
2020-07-21 12:14:33	ga_s2bm_ard_3-2-1_49JHN_2020-07-21_final.stac-item
2020-07-31 12:14:28	ga_s2bm_ard_3-2-1_49KHP_2020-07-31_final.stac-item
2020-08-30 12:14:30	ga_s2bm_ard_3-2-1_49KGP_2020-08-30_final.stac-item
2020-09-09 12:13:57	ga_s2bm_ard_3-2-1_49KHR_2020-09-09_final.stac-item
2020-11-25 12:04:14	ga_s2bm_ard_3-2-1_49KHQ_2020-11-25_final.stac-item
2020-11-28 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2020-11-28_final.stac-item
2020-12-08 12:14:07	ga_s2bm_ard_3-2-1_49KHQ_2020-12-08_final.stac-item
2020-12-25 12:05:41	ga_s2bm_ard_3-2-1_49JGJ_2020-12-25_final.stac-item
2021-01-04 12:05:42	ga_s2bm_ard_3-2-1_49JGJ_2021-01-04_final.stac-item
2021-01-27 12:13:54	ga_s2bm_ard_3-2-1_49KHR_2021-01-27_final.stac-item
2021-02-26 12:14:40	ga_s2bm_ard_3-2-1_49JGN_2021-02-26_final.stac-item
2021-03-02 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2021-03-02_final.stac-item
2021-03-08 12:13:57	ga_s2bm_ard_3-2-1_49KGR_2021-03-08_final.stac-item
2021-03-15 12:04:21	ga_s2bm_ard_3-2-1_49KHP_2021-03-15_final.stac-item
2021-05-07 12:14:10	ga_s2bm_ard_3-2-1_49KGQ_2021-05-07_final.stac-item
2021-09-21 12:05:26	ga_s2bm_ard_3-2-1_49JGK_2021-09-21_final.stac-item
2021-10-11 12:04:22	ga_s2bm_ard_3-2-1_49KHQ_2021-10-11_final.stac-item
2021-11-13 12:13:58	ga_s2bm_ard_3-2-1_49KGR_2021-11-13_final.stac-item
2021-12-10 12:04:13	ga_s2bm_ard_3-2-1_49KGQ_2021-12-10_final.stac-item
2021-12-20 12:03:54	ga_s2bm_ard_3-2-1_49KHR_2021-12-20_final.stac-item
2021-12-20 12:05:09	ga_s2bm_ard_3-2-1_49JGL_2021-12-20_final.stac-item
2021-12-30 12:04:14	ga_s2bm_ard_3-2-1_49KGQ_2021-12-30_final.stac-item
2021-12-30 12:04:24	ga_s2bm_ard_3-2-1_49KHP_2021-12-30_final.stac-item
2022-01-02 12:14:05	ga_s2bm_ard_3-2-1_49KHQ_2022-01-02_final.stac-item
2022-01-09 12:05:04	ga_s2bm_ard_3-2-1_49JFM_2022-01-09_final.stac-item
2022-01-12 12:13:54	ga_s2bm_ard_3-2-1_49KGR_2022-01-12_final.stac-item
2022-01-19 12:04:56	ga_s2bm_ard_3-2-1_49JGM_2022-01-19_final.stac-item
2022-01-22 12:14:04	ga_s2bm_ard_3-2-1_49KHQ_2022-01-22_final.stac-item
2022-02-18 12:05:08	ga_s2bm_ard_3-2-1_49JGL_2022-02-18_final.stac-item
2022-05-02 12:14:21	ga_s2bm_ard_3-2-1_49KGP_2022-05-02_final.stac-item
2022-06-18 12:04:43	ga_s2bm_ard_3-2-1_49JHN_2022-06-18_final.stac-item
2022-06-28 12:05:34	ga_s2bm_ard_3-2-1_49JGK_2022-06-28_final.stac-item
2022-07-18 12:04:51	ga_s2bm_ard_3-2-1_49JHN_2022-07-18_final.stac-item
2022-07-21 12:13:59	ga_s2bm_ard_3-2-1_49KHR_2022-07-21_final.stac-item
2022-08-17 12:04:16	ga_s2bm_ard_3-2-1_49KHQ_2022-08-17_final.stac-item
2022-08-20 12:14:14	ga_s2bm_ard_3-2-1_49KGQ_2022-08-20_final.stac-item
2022-10-19 12:14:03	ga_s2bm_ard_3-2-1_49KGQ_2022-10-19_final.stac-item
2022-11-15 12:04:56	ga_s2bm_ard_3-2-1_49JHM_2022-11-15_final.stac-item
2022-11-15 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2022-11-15_final.stac-item
2022-12-08 12:13:51	ga_s2bm_ard_3-2-1_49KHR_2022-12-08_final.stac-item
2022-12-25 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2022-12-25_final.stac-item
2023-01-07 12:14:39	ga_s2bm_ard_3-2-1_49JGN_2023-01-07_final.stac-item
2023-01-14 12:05:11	ga_s2bm_ard_3-2-1_49JGL_2023-01-14_final.stac-item
2023-01-24 12:04:16	ga_s2bm_ard_3-2-1_49KGQ_2023-01-24_final.stac-item
2023-03-15 12:04:37	ga_s2bm_ard_3-2-1_49KHP_2023-03-15_final
2023-03-25 12:04:16	ga_s2bm_ard_3-2-1_49KHQ_2023-03-25_final
2023-05-18 11:47:19	ga_s2bm_ard_3-2-1_50HLH_2023-05-18_final
2023-05-21 11:57:27	ga_s2bm_ard_3-2-1_50HLG_2023-05-21_final
2023-10-21 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2023-10-21_final
2023-10-21 12:05:31	ga_s2bm_ard_3-2-1_49JGK_2023-10-21_final
2023-12-10 12:04:14	ga_s2bm_ard_3-2-1_49KGQ_2023-12-10_final
2023-12-13 12:14:10	ga_s2bm_ard_3-2-1_49KGQ_2023-12-13_final
2023-12-13 12:14:25	ga_s2bm_ard_3-2-1_49KGP_2023-12-13_final
2023-12-17 11:57:09	ga_s2bm_ard_3-2-1_50HLH_2023-12-17_final
2024-01-06 11:57:09	ga_s2bm_ard_3-2-1_50HLH_2024-01-06_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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