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
2017-08-26 12:13:17	ga_s2bm_ard_3-2-1_49JGM_2017-08-26_final.stac-item
2017-09-09 11:51:47	ga_s2bm_ard_3-2-1_50HLH_2017-09-09_final.stac-item
2017-11-11 12:02:35	ga_s2bm_ard_3-2-1_49KGP_2017-11-11_final.stac-item
2017-11-18 11:49:07	ga_s2bm_ard_3-2-1_50JLL_2017-11-18_final.stac-item
2017-11-21 12:02:37	ga_s2bm_ard_3-2-1_49JGL_2017-11-21_final.stac-item
2017-12-01 12:02:38	ga_s2bm_ard_3-2-1_50JKT_2017-12-01_final.stac-item
2017-12-11 12:02:37	ga_s2bm_ard_3-2-1_49JGM_2017-12-11_final.stac-item
2018-01-10 12:02:41	ga_s2bm_ard_3-2-1_49JGL_2018-01-10_final.stac-item
2018-01-13 12:13:13	ga_s2bm_ard_3-2-1_49JFM_2018-01-13_final.stac-item
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_50HMH_2018-03-05_final.stac-item
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_49JGM_2018-04-20_final.stac-item
2018-05-17 11:49:25	ga_s2bm_ard_3-2-1_50JLM_2018-05-17_final.stac-item
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50HMJ_2018-06-06_final.stac-item
2018-06-13 11:43:22	ga_s2bm_ard_3-2-1_50HNK_2018-06-13_final.stac-item
2018-07-29 12:04:59	ga_s2bm_ard_3-2-1_50JLM_2018-07-29_final.stac-item
2018-08-02 11:44:54	ga_s2bm_ard_3-2-1_50HPJ_2018-08-02_final.stac-item
2018-08-08 12:02:45	ga_s2bm_ard_3-2-1_49JGN_2018-08-08_final.stac-item
2018-08-08 12:02:45	ga_s2bm_ard_3-2-1_49KHP_2018-08-08_final.stac-item
2018-09-14 11:52:51	ga_s2bm_ard_3-2-1_50HMK_2018-09-14_final.stac-item
2018-09-17 12:03:21	ga_s2bm_ard_3-2-1_50JKP_2018-09-17_final.stac-item
2018-10-10 12:13:39	ga_s2bm_ard_3-2-1_49KHP_2018-10-10_final.stac-item
2018-11-29 12:14:23	ga_s2bm_ard_3-2-1_49KGP_2018-11-29_final.stac-item
2018-12-13 11:56:23	ga_s2bm_ard_3-2-1_50HNK_2018-12-13_final.stac-item
2018-12-19 12:15:05	ga_s2bm_ard_3-2-1_49JGL_2018-12-19_final.stac-item
2019-01-05 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2019-01-05_final.stac-item
2019-01-29 11:46:38	ga_s2bm_ard_3-2-1_50HNK_2019-01-29_final.stac-item
2019-03-10 11:46:38	ga_s2bm_ard_3-2-1_50HMK_2019-03-10_final.stac-item
2019-03-19 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2019-03-19_final.stac-item
2019-06-04 12:05:49	ga_s2bm_ard_3-2-1_50JKP_2019-06-04_final.stac-item
2019-06-21 11:55:50	ga_s2bm_ard_3-2-1_50JLP_2019-06-21_final.stac-item
2019-07-28 11:46:46	ga_s2bm_ard_3-2-1_50HNK_2019-07-28_final.stac-item
2019-08-03 12:05:59	ga_s2bm_ard_3-2-1_50JLN_2019-08-03_final.stac-item
2019-08-23 12:05:20	ga_s2bm_ard_3-2-1_49JGL_2019-08-23_final.stac-item
2019-09-19 11:56:25	ga_s2bm_ard_3-2-1_50JLL_2019-09-19_final.stac-item
2020-02-09 12:05:09	ga_s2bm_ard_3-2-1_49JGL_2020-02-09_final.stac-item
2020-02-23 11:46:43	ga_s2bm_ard_3-2-1_50HPJ_2020-02-23_final.stac-item
2020-03-04 11:46:35	ga_s2bm_ard_3-2-1_50HNK_2020-03-04_final.stac-item
2020-06-19 11:37:09	ga_s2bm_ard_3-2-1_50HPH_2020-06-19_final.stac-item
2020-06-28 12:05:14	ga_s2bm_ard_3-2-1_50JKR_2020-06-28_final.stac-item
2020-07-12 11:46:39	ga_s2bm_ard_3-2-1_50HNK_2020-07-12_final.stac-item
2020-08-30 12:13:53	ga_s2bm_ard_3-2-1_49KHR_2020-08-30_final.stac-item
2020-08-31 11:46:46	ga_s2bm_ard_3-2-1_50HQJ_2020-08-31_final.stac-item
2020-08-31 11:46:51	ga_s2bm_ard_3-2-1_50HPJ_2020-08-31_final.stac-item
2020-09-19 12:13:56	ga_s2bm_ard_3-2-1_49KHR_2020-09-19_final.stac-item
2020-11-15 12:04:43	ga_s2bm_ard_3-2-1_50JKT_2020-11-15_final.stac-item
2020-11-19 11:46:44	ga_s2bm_ard_3-2-1_50HQJ_2020-11-19_final.stac-item
2021-01-14 12:04:13	ga_s2bm_ard_3-2-1_49KHQ_2021-01-14_final.stac-item
2021-01-18 11:46:30	ga_s2bm_ard_3-2-1_50HQK_2021-01-18_final.stac-item
2021-01-18 11:47:17	ga_s2bm_ard_3-2-1_50HPG_2021-01-18_final
2021-01-24 12:04:42	ga_s2bm_ard_3-2-1_50JKT_2021-01-24_final.stac-item
2021-01-24 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2021-01-24_final.stac-item
2021-01-31 11:56:40	ga_s2bm_ard_3-2-1_50HLK_2021-01-31_final.stac-item
2021-02-27 11:46:54	ga_s2bm_ard_3-2-1_50HMJ_2021-02-27_final.stac-item
2021-06-03 12:05:52	ga_s2bm_ard_3-2-1_50JLN_2021-06-03_final.stac-item
2021-06-04 11:36:39	ga_s2bm_ard_3-2-1_50HPK_2021-06-04_final.stac-item
2021-06-17 11:46:44	ga_s2bm_ard_3-2-1_50HQJ_2021-06-17_final.stac-item
2021-09-11 12:04:44	ga_s2bm_ard_3-2-1_50JKT_2021-09-11_final.stac-item
2021-09-14 12:13:51	ga_s2bm_ard_3-2-1_49KHR_2021-09-14_final.stac-item
2021-09-22 11:36:49	ga_s2bm_ard_3-2-1_50HPJ_2021-09-22_final.stac-item
2021-10-04 12:13:58	ga_s2bm_ard_3-2-1_49KGR_2021-10-04_final.stac-item
2021-10-31 12:05:16	ga_s2bm_ard_3-2-1_49JGL_2021-10-31_final.stac-item
2021-11-30 12:04:27	ga_s2bm_ard_3-2-1_49KGP_2021-11-30_final.stac-item
2021-12-07 11:55:51	ga_s2bm_ard_3-2-1_50JLN_2021-12-07_final.stac-item
2021-12-10 12:05:46	ga_s2bm_ard_3-2-1_50JLN_2021-12-10_final.stac-item
2022-02-09 11:36:57	ga_s2bm_ard_3-2-1_50HQH_2022-02-09_final.stac-item
2022-02-21 12:14:21	ga_s2bm_ard_3-2-1_49KGP_2022-02-21_final.stac-item
2022-03-20 12:06:01	ga_s2bm_ard_3-2-1_50JLM_2022-03-20_final.stac-item
2022-04-12 12:14:38	ga_s2bm_ard_3-2-1_49JGN_2022-04-12_final.stac-item
2022-04-16 11:55:42	ga_s2bm_ard_3-2-1_50JKP_2022-04-16_final.stac-item
2022-06-28 12:05:43	ga_s2bm_ard_3-2-1_50JLP_2022-06-28_final.stac-item
2022-07-25 11:56:30	ga_s2bm_ard_3-2-1_50JLL_2022-07-25_final.stac-item
2022-08-21 11:46:35	ga_s2bm_ard_3-2-1_50HPK_2022-08-21_final.stac-item
2022-10-06 12:03:56	ga_s2bm_ard_3-2-1_49KHR_2022-10-06_final.stac-item
2022-10-23 11:56:13	ga_s2bm_ard_3-2-1_50JKM_2022-10-23_final.stac-item
2022-10-26 12:05:43	ga_s2bm_ard_3-2-1_50JKP_2022-10-26_final.stac-item
2022-11-06 11:36:47	ga_s2bm_ard_3-2-1_50HQJ_2022-11-06_final.stac-item
2022-11-15 12:05:40	ga_s2bm_ard_3-2-1_50JKP_2022-11-15_final.stac-item
2022-11-18 12:14:41	ga_s2bm_ard_3-2-1_49JGN_2022-11-18_final.stac-item
2023-05-25 11:36:43	ga_s2bm_ard_3-2-1_50HPK_2023-05-25_final
2023-06-13 12:05:02	ga_s2bm_ard_3-2-1_49JHM_2023-06-13_final
2023-06-23 12:04:50	ga_s2bm_ard_3-2-1_49JGN_2023-06-23_final
2023-07-03 12:05:02	ga_s2bm_ard_3-2-1_50JKS_2023-07-03_final
2023-07-06 12:13:45	ga_s2bm_ard_3-2-1_49KHS_2023-07-06_final
2023-07-23 12:05:50	ga_s2bm_ard_3-2-1_49JGJ_2023-07-23_final
2023-08-02 12:05:46	ga_s2bm_ard_3-2-1_50JKP_2023-08-02_final
2023-08-05 12:14:03	ga_s2bm_ard_3-2-1_49KGR_2023-08-05_final
2023-08-22 12:04:18	ga_s2bm_ard_3-2-1_49KHQ_2023-08-22_final
2023-08-23 11:37:25	ga_s2bm_ard_3-2-1_50HPG_2023-08-23_final
2023-09-04 12:14:17	ga_s2bm_ard_3-2-1_49KGQ_2023-09-04_final
2023-09-11 12:05:25	ga_s2bm_ard_3-2-1_49JGL_2023-09-11_final
2023-12-03 12:13:55	ga_s2bm_ard_3-2-1_49KGR_2023-12-03_final
2023-12-10 12:05:51	ga_s2bm_ard_3-2-1_50JKN_2023-12-10_final
2024-01-13 11:46:50	ga_s2bm_ard_3-2-1_50HNJ_2024-01-13_final
2024-01-29 12:04:40	ga_s2bm_ard_3-2-1_49JHN_2024-01-29_final
2024-02-12 11:46:44	ga_s2bm_ard_3-2-1_50HQJ_2024-02-12_final
2024-02-22 11:47:03	ga_s2bm_ard_3-2-1_50HPH_2024-02-22_final
2024-03-29 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2024-03-29_final
2024-04-12 11:46:57	ga_s2bm_ard_3-2-1_50HPH_2024-04-12_final
2024-04-12 11:47:07	ga_s2bm_ard_3-2-1_50HNH_2024-04-12_final
2024-05-08 12:05:56	ga_s2bm_ard_3-2-1_50JKN_2024-05-08_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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