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 12:04:34	ga_s2bm_ard_3-2-1_50JKP_2017-07-04_final.stac-item
2017-11-18 11:49:07	ga_s2bm_ard_3-2-1_50HLH_2017-11-18_final.stac-item
2017-11-18 11:49:07	ga_s2bm_ard_3-2-1_50JKP_2017-11-18_final.stac-item
2017-12-11 12:02:37	ga_s2bm_ard_3-2-1_49JGJ_2017-12-11_final.stac-item
2017-12-11 12:02:37	ga_s2bm_ard_3-2-1_50JKP_2017-12-11_final.stac-item
2017-12-14 12:13:09	ga_s2bm_ard_3-2-1_49JGL_2017-12-14_final.stac-item
2018-01-07 11:50:37	ga_s2bm_ard_3-2-1_50JKP_2018-01-07_final.stac-item
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50HNH_2018-01-14_final.stac-item
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50HMJ_2018-01-24_final.stac-item
2018-01-27 11:56:04	ga_s2bm_ard_3-2-1_50HLH_2018-01-27_final.stac-item
2018-02-16 11:54:55	ga_s2bm_ard_3-2-1_50JKN_2018-02-16_final.stac-item
2018-02-23 11:44:25	ga_s2bm_ard_3-2-1_50HPJ_2018-02-23_final.stac-item
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_49JGL_2018-03-21_final.stac-item
2018-03-24 12:13:16	ga_s2bm_ard_3-2-1_49JGL_2018-03-24_final.stac-item
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_50JKR_2018-03-31_final.stac-item
2018-04-01 11:35:24	ga_s2bm_ard_3-2-1_50HPH_2018-04-01_final.stac-item
2018-04-03 12:13:18	ga_s2bm_ard_3-2-1_49JGL_2018-04-03_final.stac-item
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50JLM_2018-04-07_final.stac-item
2018-04-10 12:04:57	ga_s2bm_ard_3-2-1_49JGM_2018-04-10_final.stac-item
2018-04-14 11:46:05	ga_s2bm_ard_3-2-1_50HMK_2018-04-14_final.stac-item
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50JLN_2018-04-17_final.stac-item
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_49KHP_2018-04-20_final.stac-item
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_50HQK_2018-04-21_final.stac-item
2018-04-23 12:13:20	ga_s2bm_ard_3-2-1_49JGM_2018-04-23_final.stac-item
2018-05-24 11:45:49	ga_s2bm_ard_3-2-1_50HNK_2018-05-24_final.stac-item
2018-05-31 11:32:50	ga_s2bm_ard_3-2-1_50HQH_2018-05-31_final.stac-item
2018-07-26 11:52:57	ga_s2bm_ard_3-2-1_50JLN_2018-07-26_final.stac-item
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50JLN_2018-08-05_final.stac-item
2018-08-28 12:02:40	ga_s2bm_ard_3-2-1_49JGM_2018-08-28_final.stac-item
2018-08-28 12:04:53	ga_s2bm_ard_3-2-1_50JKP_2018-08-28_final.stac-item
2018-12-19 12:14:22	ga_s2bm_ard_3-2-1_49KGP_2018-12-19_final.stac-item
2019-01-05 12:05:50	ga_s2bm_ard_3-2-1_50JLN_2019-01-05_final.stac-item
2019-02-28 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2019-02-28_final.stac-item
2019-03-26 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2019-03-26_final.stac-item
2019-04-05 12:05:44	ga_s2bm_ard_3-2-1_50JKP_2019-04-05_final.stac-item
2019-04-25 12:05:48	ga_s2bm_ard_3-2-1_50JKP_2019-04-25_final.stac-item
2019-05-22 11:56:20	ga_s2bm_ard_3-2-1_50JLM_2019-05-22_final.stac-item
2019-05-22 11:57:00	ga_s2bm_ard_3-2-1_50HMJ_2019-05-22_final.stac-item
2019-05-25 12:05:46	ga_s2bm_ard_3-2-1_50JLP_2019-05-25_final.stac-item
2019-05-29 11:47:18	ga_s2bm_ard_3-2-1_50HMH_2019-05-29_final.stac-item
2019-06-01 11:55:50	ga_s2bm_ard_3-2-1_50JLP_2019-06-01_final.stac-item
2019-06-11 11:55:45	ga_s2bm_ard_3-2-1_50JLP_2019-06-11_final.stac-item
2019-10-12 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2019-10-12_final.stac-item
2019-12-28 11:56:46	ga_s2bm_ard_3-2-1_50HMJ_2019-12-28_final.stac-item
2020-01-10 12:03:54	ga_s2bm_ard_3-2-1_49KHR_2020-01-10_final.stac-item
2020-02-12 12:14:36	ga_s2bm_ard_3-2-1_49JGN_2020-02-12_final.stac-item
2020-03-14 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2020-03-14_final.stac-item
2020-04-23 11:46:32	ga_s2bm_ard_3-2-1_50HNK_2020-04-23_final.stac-item
2020-04-30 11:36:44	ga_s2bm_ard_3-2-1_50HQJ_2020-04-30_final.stac-item
2020-05-20 11:37:03	ga_s2bm_ard_3-2-1_50HQH_2020-05-20_final.stac-item
2020-08-27 12:04:51	ga_s2bm_ard_3-2-1_49JHN_2020-08-27_final.stac-item
2020-11-09 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2020-11-09_final.stac-item
2020-12-12 11:56:08	ga_s2bm_ard_3-2-1_50JLM_2020-12-12_final.stac-item
2021-01-11 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2021-01-11_final.stac-item
2021-01-21 11:56:51	ga_s2bm_ard_3-2-1_50HMJ_2021-01-21_final.stac-item
2021-01-24 12:06:04	ga_s2bm_ard_3-2-1_50JLM_2021-01-24_final.stac-item
2021-01-27 12:13:40	ga_s2bm_ard_3-2-1_49KHS_2021-01-27_final
2021-01-28 11:47:17	ga_s2bm_ard_3-2-1_50HPG_2021-01-28_final
2021-03-15 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2021-03-15_final.stac-item
2021-04-25 11:37:21	ga_s2bm_ard_3-2-1_50HNG_2021-04-25_final
2021-04-28 11:47:16	ga_s2bm_ard_3-2-1_50HNG_2021-04-28_final
2021-05-17 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2021-05-17_final.stac-item
2021-06-03 12:05:45	ga_s2bm_ard_3-2-1_49JGJ_2021-06-03_final.stac-item
2021-06-04 11:37:22	ga_s2bm_ard_3-2-1_50HPG_2021-06-04_final
2021-06-13 12:05:52	ga_s2bm_ard_3-2-1_50JLN_2021-06-13_final.stac-item
2021-06-17 11:46:42	ga_s2bm_ard_3-2-1_50HMK_2021-06-17_final.stac-item
2021-06-23 12:05:38	ga_s2bm_ard_3-2-1_50JLP_2021-06-23_final.stac-item
2021-06-30 11:57:07	ga_s2bm_ard_3-2-1_50HMH_2021-06-30_final.stac-item
2021-07-03 12:04:44	ga_s2bm_ard_3-2-1_49JGN_2021-07-03_final.stac-item
2021-07-03 12:04:51	ga_s2bm_ard_3-2-1_49JGN_2021-07-03_final.stac-item
2021-07-03 12:06:05	ga_s2bm_ard_3-2-1_50JLM_2021-07-03_final.stac-item
2021-07-07 11:47:08	ga_s2bm_ard_3-2-1_50HNH_2021-07-07_final.stac-item
2021-07-10 11:55:58	ga_s2bm_ard_3-2-1_50JLN_2021-07-10_final.stac-item
2021-07-26 12:13:46	ga_s2bm_ard_3-2-1_49KHS_2021-07-26_final
2021-08-16 11:47:21	ga_s2bm_ard_3-2-1_50HNG_2021-08-16_final
2021-08-19 11:56:10	ga_s2bm_ard_3-2-1_50JLM_2021-08-19_final.stac-item
2021-08-22 12:04:41	ga_s2bm_ard_3-2-1_49JHN_2021-08-22_final.stac-item
2021-08-22 12:04:45	ga_s2bm_ard_3-2-1_49JGN_2021-08-22_final.stac-item
2021-09-11 12:03:55	ga_s2bm_ard_3-2-1_49KHR_2021-09-11_final.stac-item
2021-10-11 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2021-10-11_final
2021-10-28 11:55:58	ga_s2bm_ard_3-2-1_50JLN_2021-10-28_final.stac-item
2021-11-10 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2021-11-10_final
2021-11-11 11:37:17	ga_s2bm_ard_3-2-1_50HQG_2021-11-11_final
2021-12-04 11:47:11	ga_s2bm_ard_3-2-1_50HLH_2021-12-04_final.stac-item
2022-01-12 12:15:06	ga_s2bm_ard_3-2-1_49JGL_2022-01-12_final.stac-item
2022-04-20 11:37:02	ga_s2bm_ard_3-2-1_50HPH_2022-04-20_final.stac-item
2022-06-12 11:47:05	ga_s2bm_ard_3-2-1_50HPH_2022-06-12_final.stac-item
2022-10-29 12:15:09	ga_s2bm_ard_3-2-1_49JGL_2022-10-29_final.stac-item
2023-04-07 12:14:59	ga_s2bm_ard_3-2-1_49JGM_2023-04-07_final
2023-07-14 11:36:53	ga_s2bm_ard_3-2-1_50HQJ_2023-07-14_final
2023-09-14 12:14:30	ga_s2bm_ard_3-2-1_49KGP_2023-09-14_final
2023-10-04 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2023-10-04_final
2023-10-04 12:15:11	ga_s2bm_ard_3-2-1_49JGL_2023-10-04_final
2023-11-17 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2023-11-17_final
2023-11-24 11:47:05	ga_s2bm_ard_3-2-1_50HMH_2023-11-24_final
2023-12-24 11:47:11	ga_s2bm_ard_3-2-1_50HMH_2023-12-24_final
2024-01-29 12:03:42	ga_s2bm_ard_3-2-1_49KHS_2024-01-29_final
2024-02-22 11:47:10	ga_s2bm_ard_3-2-1_50HMH_2024-02-22_final
2024-03-29 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2024-03-29_final
2024-04-09 11:37:06	ga_s2bm_ard_3-2-1_50HPH_2024-04-09_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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