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
2017-07-07 12:14:42	ga_s2bm_ard_3-2-1_49JGM_2017-07-07_final.stac-item
2017-10-15 12:13:29	ga_s2bm_ard_3-2-1_49KGR_2017-10-15_final.stac-item
2017-11-24 12:13:09	ga_s2bm_ard_3-2-1_49KGR_2017-11-24_final.stac-item
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_49KGP_2018-03-01_final.stac-item
2018-03-04 12:13:52	ga_s2bm_ard_3-2-1_49KGP_2018-03-04_final.stac-item
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_49JGL_2018-03-11_final.stac-item
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_49KGP_2018-03-11_final.stac-item
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_49KHQ_2018-03-11_final.stac-item
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_49KGP_2018-03-21_final.stac-item
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2018-04-20_final.stac-item
2018-06-12 12:13:19	ga_s2bm_ard_3-2-1_49JGN_2018-06-12_final.stac-item
2018-06-19 12:02:48	ga_s2bm_ard_3-2-1_49JGL_2018-06-19_final.stac-item
2018-08-28 12:02:40	ga_s2bm_ard_3-2-1_49KHR_2018-08-28_final.stac-item
2018-09-10 12:13:12	ga_s2bm_ard_3-2-1_49JGL_2018-09-10_final.stac-item
2018-09-10 12:13:12	ga_s2bm_ard_3-2-1_49JGM_2018-09-10_final.stac-item
2018-09-17 12:03:21	ga_s2bm_ard_3-2-1_49KHP_2018-09-17_final.stac-item
2019-01-15 12:04:31	ga_s2bm_ard_3-2-1_49KGP_2019-01-15_final.stac-item
2019-01-29 11:47:14	ga_s2bm_ard_3-2-1_50HLH_2019-01-29_final.stac-item
2019-04-05 12:05:18	ga_s2bm_ard_3-2-1_49JGL_2019-04-05_final.stac-item
2019-05-15 12:05:23	ga_s2bm_ard_3-2-1_49JGL_2019-05-15_final.stac-item
2019-05-18 12:14:35	ga_s2bm_ard_3-2-1_49KGP_2019-05-18_final.stac-item
2019-06-04 12:04:39	ga_s2bm_ard_3-2-1_49KGP_2019-06-04_final.stac-item
2019-06-24 12:04:39	ga_s2bm_ard_3-2-1_49KGP_2019-06-24_final.stac-item
2019-07-14 12:05:38	ga_s2bm_ard_3-2-1_49JGK_2019-07-14_final.stac-item
2019-08-03 12:05:23	ga_s2bm_ard_3-2-1_49JGL_2019-08-03_final.stac-item
2019-10-02 12:05:01	ga_s2bm_ard_3-2-1_49JGM_2019-10-02_final.stac-item
2019-10-22 12:04:43	ga_s2bm_ard_3-2-1_49JHN_2019-10-22_final.stac-item
2019-12-08 11:56:49	ga_s2bm_ard_3-2-1_50HLJ_2019-12-08_final.stac-item
2019-12-11 12:05:09	ga_s2bm_ard_3-2-1_49JGL_2019-12-11_final.stac-item
2019-12-14 12:14:50	ga_s2bm_ard_3-2-1_49JGM_2019-12-14_final.stac-item
2019-12-24 12:14:36	ga_s2bm_ard_3-2-1_49JGN_2019-12-24_final.stac-item
2019-12-31 12:04:23	ga_s2bm_ard_3-2-1_49KHP_2019-12-31_final.stac-item
2020-02-09 12:05:24	ga_s2bm_ard_3-2-1_49JGK_2020-02-09_final.stac-item
2020-03-03 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2020-03-03_final.stac-item
2020-03-20 12:04:16	ga_s2bm_ard_3-2-1_49KGQ_2020-03-20_final.stac-item
2020-03-20 12:04:40	ga_s2bm_ard_3-2-1_49JHN_2020-03-20_final.stac-item
2020-03-30 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2020-03-30_final.stac-item
2020-04-12 12:15:07	ga_s2bm_ard_3-2-1_49JGL_2020-04-12_final.stac-item
2020-04-29 12:04:14	ga_s2bm_ard_3-2-1_49KGQ_2020-04-29_final.stac-item
2020-06-28 12:04:34	ga_s2bm_ard_3-2-1_49KGP_2020-06-28_final.stac-item
2020-10-06 12:04:10	ga_s2bm_ard_3-2-1_49KHR_2020-10-06_final.stac-item
2020-10-09 12:14:45	ga_s2bm_ard_3-2-1_49JGN_2020-10-09_final.stac-item
2020-11-22 11:57:16	ga_s2bm_ard_3-2-1_50HLH_2020-11-22_final.stac-item
2020-12-08 12:13:56	ga_s2bm_ard_3-2-1_49KGR_2020-12-08_final.stac-item
2020-12-25 12:04:43	ga_s2bm_ard_3-2-1_49JGN_2020-12-25_final.stac-item
2021-01-01 11:56:53	ga_s2bm_ard_3-2-1_50HLJ_2021-01-01_final.stac-item
2021-01-08 11:47:27	ga_s2bm_ard_3-2-1_50HLG_2021-01-08_final
2021-02-20 11:56:52	ga_s2bm_ard_3-2-1_50HLJ_2021-02-20_final.stac-item
2021-02-26 12:14:31	ga_s2bm_ard_3-2-1_49KGP_2021-02-26_final.stac-item
2021-03-05 12:04:20	ga_s2bm_ard_3-2-1_49KHP_2021-03-05_final.stac-item
2021-03-18 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2021-03-18_final.stac-item
2021-03-28 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2021-03-28_final.stac-item
2021-04-07 12:13:41	ga_s2bm_ard_3-2-1_49KHS_2021-04-07_final
2021-06-13 12:04:50	ga_s2bm_ard_3-2-1_49JGN_2021-06-13_final.stac-item
2021-07-17 11:47:29	ga_s2bm_ard_3-2-1_50HLG_2021-07-17_final
2021-08-02 12:04:23	ga_s2bm_ard_3-2-1_49KHP_2021-08-02_final.stac-item
2021-08-02 12:05:16	ga_s2bm_ard_3-2-1_49JGL_2021-08-02_final.stac-item
2021-08-09 11:57:10	ga_s2bm_ard_3-2-1_50HLH_2021-08-09_final.stac-item
2021-09-01 12:03:41	ga_s2bm_ard_3-2-1_49KHS_2021-09-01_final
2021-09-21 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2021-09-21_final.stac-item
2021-09-24 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2021-09-24_final.stac-item
2021-11-03 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2021-11-03_final.stac-item
2021-11-30 12:03:40	ga_s2bm_ard_3-2-1_49KHS_2021-11-30_final
2022-01-02 12:13:50	ga_s2bm_ard_3-2-1_49KHR_2022-01-02_final.stac-item
2022-01-02 12:14:37	ga_s2bm_ard_3-2-1_49JGN_2022-01-02_final.stac-item
2022-01-23 11:47:09	ga_s2bm_ard_3-2-1_50HLH_2022-01-23_final.stac-item
2022-03-03 12:14:53	ga_s2bm_ard_3-2-1_49JGM_2022-03-03_final.stac-item
2022-04-12 12:14:38	ga_s2bm_ard_3-2-1_49JGN_2022-04-12_final.stac-item
2022-05-29 12:05:44	ga_s2bm_ard_3-2-1_49JGJ_2022-05-29_final.stac-item
2022-08-07 12:04:43	ga_s2bm_ard_3-2-1_49JHN_2022-08-07_final.stac-item
2022-08-07 12:05:05	ga_s2bm_ard_3-2-1_49JGM_2022-08-07_final.stac-item
2022-08-17 12:04:59	ga_s2bm_ard_3-2-1_49JHM_2022-08-17_final.stac-item
2022-08-20 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2022-08-20_final.stac-item
2022-08-27 12:04:46	ga_s2bm_ard_3-2-1_49JHN_2022-08-27_final.stac-item
2022-09-16 12:04:33	ga_s2bm_ard_3-2-1_49KGP_2022-09-16_final.stac-item
2022-09-16 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2022-09-16_final.stac-item
2022-09-29 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2022-09-29_final.stac-item
2022-10-19 12:13:54	ga_s2bm_ard_3-2-1_49KHR_2022-10-19_final.stac-item
2022-10-26 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2022-10-26_final.stac-item
2022-11-15 12:04:31	ga_s2bm_ard_3-2-1_49KGP_2022-11-15_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
2023-01-17 12:14:24	ga_s2bm_ard_3-2-1_49KGP_2023-01-17_final.stac-item
2023-01-24 12:04:11	ga_s2bm_ard_3-2-1_49KHQ_2023-01-24_final.stac-item
2023-04-04 12:04:46	ga_s2bm_ard_3-2-1_49JHN_2023-04-04_final
2023-05-07 12:14:44	ga_s2bm_ard_3-2-1_49JGN_2023-05-07_final
2023-05-14 12:04:32	ga_s2bm_ard_3-2-1_49KGP_2023-05-14_final
2023-07-13 12:04:04	ga_s2bm_ard_3-2-1_49KHR_2023-07-13_final
2023-08-22 12:04:36	ga_s2bm_ard_3-2-1_49KGP_2023-08-22_final
2023-08-25 12:14:02	ga_s2bm_ard_3-2-1_49KGR_2023-08-25_final
2023-09-04 12:14:46	ga_s2bm_ard_3-2-1_49JGN_2023-09-04_final
2023-10-01 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2023-10-01_final
2023-10-11 12:05:31	ga_s2bm_ard_3-2-1_49JGK_2023-10-11_final
2023-10-28 11:57:05	ga_s2bm_ard_3-2-1_50HLH_2023-10-28_final
2023-10-31 12:04:33	ga_s2bm_ard_3-2-1_49KGP_2023-10-31_final
2023-11-27 11:57:18	ga_s2bm_ard_3-2-1_50HLG_2023-11-27_final
2023-12-23 12:14:28	ga_s2bm_ard_3-2-1_49KGP_2023-12-23_final
2024-02-28 12:04:59	ga_s2bm_ard_3-2-1_49JGM_2024-02-28_final
2024-03-02 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2024-03-02_final
2024-03-29 12:05:29	ga_s2bm_ard_3-2-1_49JGK_2024-03-29_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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