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
2017-08-20 11:49:42	ga_s2bm_ard_3-2-1_50HLK_2017-08-20_final.stac-item
2017-09-02 12:02:43	ga_s2bm_ard_3-2-1_50JKT_2017-09-02_final.stac-item
2017-10-09 11:55:53	ga_s2bm_ard_3-2-1_50HNK_2017-10-09_final.stac-item
2017-12-31 12:02:39	ga_s2bm_ard_3-2-1_49JGN_2017-12-31_final.stac-item
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50HNH_2018-01-14_final.stac-item
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_49JGN_2018-03-01_final.stac-item
2018-03-08 11:51:37	ga_s2bm_ard_3-2-1_50HMH_2018-03-08_final.stac-item
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_49JGL_2018-03-11_final.stac-item
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_50JLT_2018-04-10_final.stac-item
2018-06-03 11:40:10	ga_s2bm_ard_3-2-1_50HQH_2018-06-03_final.stac-item
2018-08-01 12:13:25	ga_s2bm_ard_3-2-1_49KGQ_2018-08-01_final.stac-item
2018-11-06 12:04:25	ga_s2bm_ard_3-2-1_49KHP_2018-11-06_final.stac-item
2018-11-10 11:47:07	ga_s2bm_ard_3-2-1_50HMH_2018-11-10_final.stac-item
2018-11-16 12:04:40	ga_s2bm_ard_3-2-1_49JHN_2018-11-16_final.stac-item
2018-11-16 12:05:35	ga_s2bm_ard_3-2-1_50JLP_2018-11-16_final.stac-item
2019-01-09 11:46:29	ga_s2bm_ard_3-2-1_50HQK_2019-01-09_final.stac-item
2019-02-01 11:55:42	ga_s2bm_ard_3-2-1_50JLP_2019-02-01_final.stac-item
2019-03-03 11:56:38	ga_s2bm_ard_3-2-1_50HLK_2019-03-03_final.stac-item
2019-03-20 11:46:44	ga_s2bm_ard_3-2-1_50HPJ_2019-03-20_final.stac-item
2019-03-29 12:15:14	ga_s2bm_ard_3-2-1_49JGL_2019-03-29_final.stac-item
2019-05-22 11:56:31	ga_s2bm_ard_3-2-1_50JML_2019-05-22_final.stac-item
2019-07-14 12:04:27	ga_s2bm_ard_3-2-1_49KGQ_2019-07-14_final.stac-item
2019-07-28 11:47:15	ga_s2bm_ard_3-2-1_50HNH_2019-07-28_final.stac-item
2019-07-31 11:56:30	ga_s2bm_ard_3-2-1_50JML_2019-07-31_final.stac-item
2019-08-13 12:04:49	ga_s2bm_ard_3-2-1_49JHN_2019-08-13_final.stac-item
2019-09-02 12:05:00	ga_s2bm_ard_3-2-1_49JHM_2019-09-02_final.stac-item
2019-09-09 11:56:32	ga_s2bm_ard_3-2-1_50HNK_2019-09-09_final.stac-item
2019-09-22 12:06:09	ga_s2bm_ard_3-2-1_50JKM_2019-09-22_final.stac-item
2019-10-02 12:04:19	ga_s2bm_ard_3-2-1_49KGQ_2019-10-02_final.stac-item
2019-11-15 11:46:28	ga_s2bm_ard_3-2-1_50HQK_2019-11-15_final.stac-item
2019-11-18 11:56:24	ga_s2bm_ard_3-2-1_50JLL_2019-11-18_final.stac-item
2019-11-18 11:56:49	ga_s2bm_ard_3-2-1_50HMJ_2019-11-18_final.stac-item
2019-11-25 11:46:30	ga_s2bm_ard_3-2-1_50HPK_2019-11-25_final.stac-item
2019-12-08 11:55:36	ga_s2bm_ard_3-2-1_50JLP_2019-12-08_final.stac-item
2019-12-12 11:36:43	ga_s2bm_ard_3-2-1_50HQJ_2019-12-12_final.stac-item
2019-12-18 11:55:37	ga_s2bm_ard_3-2-1_50JLP_2019-12-18_final.stac-item
2019-12-28 11:56:17	ga_s2bm_ard_3-2-1_50JML_2019-12-28_final.stac-item
2020-01-27 11:55:34	ga_s2bm_ard_3-2-1_50JLP_2020-01-27_final.stac-item
2020-02-16 11:56:18	ga_s2bm_ard_3-2-1_50JML_2020-02-16_final.stac-item
2020-03-03 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2020-03-03_final.stac-item
2020-03-27 11:55:44	ga_s2bm_ard_3-2-1_50JKP_2020-03-27_final.stac-item
2020-04-06 11:56:19	ga_s2bm_ard_3-2-1_50JML_2020-04-06_final.stac-item
2020-04-16 11:55:37	ga_s2bm_ard_3-2-1_50JLP_2020-04-16_final.stac-item
2020-05-20 11:36:34	ga_s2bm_ard_3-2-1_50HQK_2020-05-20_final.stac-item
2020-06-08 12:05:31	ga_s2bm_ard_3-2-1_49JGK_2020-06-08_final.stac-item
2020-09-13 11:57:11	ga_s2bm_ard_3-2-1_50HLH_2020-09-13_final.stac-item
2020-09-26 12:05:00	ga_s2bm_ard_3-2-1_50JKS_2020-09-26_final.stac-item
2020-10-13 11:56:26	ga_s2bm_ard_3-2-1_50JML_2020-10-13_final.stac-item
2020-11-02 11:55:00	ga_s2bm_ard_3-2-1_50JLS_2020-11-02_final.stac-item
2020-11-05 12:05:54	ga_s2bm_ard_3-2-1_50JLN_2020-11-05_final.stac-item
2020-11-09 11:46:31	ga_s2bm_ard_3-2-1_50HQK_2020-11-09_final.stac-item
2020-12-19 11:46:48	ga_s2bm_ard_3-2-1_50HNJ_2020-12-19_final.stac-item
2021-01-01 11:56:20	ga_s2bm_ard_3-2-1_50JML_2021-01-01_final.stac-item
2021-01-04 12:04:41	ga_s2bm_ard_3-2-1_50JKT_2021-01-04_final.stac-item
2021-02-24 11:36:50	ga_s2bm_ard_3-2-1_50HPJ_2021-02-24_final.stac-item
2021-05-11 11:57:04	ga_s2bm_ard_3-2-1_50HMH_2021-05-11_final.stac-item
2021-05-14 12:04:56	ga_s2bm_ard_3-2-1_50JKS_2021-05-14_final.stac-item
2021-07-03 12:04:24	ga_s2bm_ard_3-2-1_49KGP_2021-07-03_final.stac-item
2021-07-23 12:05:14	ga_s2bm_ard_3-2-1_50JKR_2021-07-23_final.stac-item
2021-07-26 12:13:46	ga_s2bm_ard_3-2-1_49KHS_2021-07-26_final
2021-11-04 11:47:15	ga_s2bm_ard_3-2-1_50HLH_2021-11-04_final.stac-item
2021-11-07 11:56:22	ga_s2bm_ard_3-2-1_50JML_2021-11-07_final.stac-item
2021-11-30 12:04:14	ga_s2bm_ard_3-2-1_49KGQ_2021-11-30_final.stac-item
2021-12-31 11:36:34	ga_s2bm_ard_3-2-1_50HPK_2021-12-31_final.stac-item
2022-01-03 11:46:51	ga_s2bm_ard_3-2-1_50HMJ_2022-01-03_final.stac-item
2022-02-05 11:57:00	ga_s2bm_ard_3-2-1_50HMH_2022-02-05_final.stac-item
2022-03-30 12:04:38	ga_s2bm_ard_3-2-1_49JGN_2022-03-30_final.stac-item
2022-04-29 12:04:41	ga_s2bm_ard_3-2-1_49JGN_2022-04-29_final.stac-item
2022-05-06 11:56:07	ga_s2bm_ard_3-2-1_50JLM_2022-05-06_final.stac-item
2022-05-06 11:56:18	ga_s2bm_ard_3-2-1_50JML_2022-05-06_final.stac-item
2022-05-06 11:56:32	ga_s2bm_ard_3-2-1_50HMK_2022-05-06_final.stac-item
2022-05-06 11:56:47	ga_s2bm_ard_3-2-1_50HMJ_2022-05-06_final.stac-item
2022-06-18 12:04:42	ga_s2bm_ard_3-2-1_50JLT_2022-06-18_final.stac-item
2022-07-25 11:57:11	ga_s2bm_ard_3-2-1_50HMH_2022-07-25_final.stac-item
2022-09-16 12:04:41	ga_s2bm_ard_3-2-1_50JKT_2022-09-16_final.stac-item
2022-09-16 12:04:59	ga_s2bm_ard_3-2-1_49JHM_2022-09-16_final.stac-item
2022-10-03 11:56:10	ga_s2bm_ard_3-2-1_50JLM_2022-10-03_final.stac-item
2022-10-19 12:14:02	ga_s2bm_ard_3-2-1_49KHR_2022-10-19_final.stac-item
2022-11-22 11:56:51	ga_s2bm_ard_3-2-1_50HMJ_2022-11-22_final.stac-item
2022-12-09 11:46:26	ga_s2bm_ard_3-2-1_50HQK_2022-12-09_final.stac-item
2022-12-29 11:46:51	ga_s2bm_ard_3-2-1_50HNJ_2022-12-29_final.stac-item
2023-01-28 11:47:12	ga_s2bm_ard_3-2-1_50HLH_2023-01-28_final.stac-item
2023-04-21 11:57:11	ga_s2bm_ard_3-2-1_50HLH_2023-04-21_final
2023-05-01 11:56:53	ga_s2bm_ard_3-2-1_50HMJ_2023-05-01_final
2023-05-18 11:47:00	ga_s2bm_ard_3-2-1_50HMJ_2023-05-18_final
2023-05-24 12:04:37	ga_s2bm_ard_3-2-1_49KHP_2023-05-24_final
2023-06-07 11:47:19	ga_s2bm_ard_3-2-1_50HLH_2023-06-07_final
2023-07-23 12:05:44	ga_s2bm_ard_3-2-1_50JLP_2023-07-23_final
2023-08-09 11:56:45	ga_s2bm_ard_3-2-1_50HLK_2023-08-09_final
2023-09-21 12:04:49	ga_s2bm_ard_3-2-1_49JGN_2023-09-21_final
2023-10-28 11:56:27	ga_s2bm_ard_3-2-1_50JLL_2023-10-28_final
2023-11-10 12:04:15	ga_s2bm_ard_3-2-1_49KHQ_2023-11-10_final
2023-12-10 12:04:10	ga_s2bm_ard_3-2-1_49KHQ_2023-12-10_final
2023-12-10 12:04:14	ga_s2bm_ard_3-2-1_49KGQ_2023-12-10_final
2023-12-20 12:05:44	ga_s2bm_ard_3-2-1_49JGJ_2023-12-20_final
2023-12-24 11:47:11	ga_s2bm_ard_3-2-1_50HMH_2023-12-24_final
2024-01-26 11:55:40	ga_s2bm_ard_3-2-1_50JLP_2024-01-26_final
2024-02-02 11:46:52	ga_s2bm_ard_3-2-1_50HMJ_2024-02-02_final
2024-02-29 11:37:15	ga_s2bm_ard_3-2-1_50HQG_2024-02-29_final
2024-04-02 11:46:54	ga_s2bm_ard_3-2-1_50HPJ_2024-04-02_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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