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
2017-07-17 12:13:21	ga_s2bm_ard_3-2-1_49KGR_2017-07-17_final.stac-item
2017-07-24 12:02:49	ga_s2bm_ard_3-2-1_49KGP_2017-07-24_final.stac-item
2017-07-24 12:02:49	ga_s2bm_ard_3-2-1_49KHR_2017-07-24_final.stac-item
2017-09-09 11:51:47	ga_s2bm_ard_3-2-1_50HMH_2017-09-09_final.stac-item
2017-12-31 12:02:39	ga_s2bm_ard_3-2-1_49KHR_2017-12-31_final.stac-item
2018-02-09 12:02:42	ga_s2bm_ard_3-2-1_49KGP_2018-02-09_final.stac-item
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_49KGP_2018-03-01_final.stac-item
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_50HQJ_2018-03-05_final.stac-item
2018-03-22 11:29:32	ga_s2bm_ard_3-2-1_50HPK_2018-03-22_final.stac-item
2018-04-01 11:35:24	ga_s2bm_ard_3-2-1_50HPK_2018-04-01_final.stac-item
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50HMK_2018-04-24_final.stac-item
2018-04-27 11:54:58	ga_s2bm_ard_3-2-1_50JKM_2018-04-27_final.stac-item
2018-05-10 12:02:48	ga_s2bm_ard_3-2-1_49KGP_2018-05-10_final.stac-item
2018-05-17 11:49:25	ga_s2bm_ard_3-2-1_50JKP_2018-05-17_final.stac-item
2018-05-23 12:13:19	ga_s2bm_ard_3-2-1_49KHR_2018-05-23_final.stac-item
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50HLK_2018-06-06_final.stac-item
2018-07-20 11:35:23	ga_s2bm_ard_3-2-1_50HQH_2018-07-20_final.stac-item
2018-07-30 11:31:34	ga_s2bm_ard_3-2-1_50HQH_2018-07-30_final.stac-item
2018-08-02 11:44:54	ga_s2bm_ard_3-2-1_50HPK_2018-08-02_final.stac-item
2018-08-18 12:03:23	ga_s2bm_ard_3-2-1_49KHR_2018-08-18_final.stac-item
2018-08-18 12:03:23	ga_s2bm_ard_3-2-1_50JKN_2018-08-18_final.stac-item
2018-08-28 12:02:40	ga_s2bm_ard_3-2-1_49KHR_2018-08-28_final.stac-item
2018-09-24 11:52:42	ga_s2bm_ard_3-2-1_50HNK_2018-09-24_final.stac-item
2018-10-07 12:04:33	ga_s2bm_ard_3-2-1_49JHN_2018-10-07_final.stac-item
2018-11-16 12:05:26	ga_s2bm_ard_3-2-1_49JGK_2018-11-16_final.stac-item
2018-11-30 11:46:44	ga_s2bm_ard_3-2-1_50HPJ_2018-11-30_final.stac-item
2018-12-09 12:14:35	ga_s2bm_ard_3-2-1_49JGN_2018-12-09_final.stac-item
2019-03-03 11:55:57	ga_s2bm_ard_3-2-1_50JKN_2019-03-03_final.stac-item
2019-04-05 12:05:44	ga_s2bm_ard_3-2-1_50JKP_2019-04-05_final.stac-item
2019-04-06 11:37:10	ga_s2bm_ard_3-2-1_50HPH_2019-04-06_final.stac-item
2019-05-08 12:14:14	ga_s2bm_ard_3-2-1_49KGQ_2019-05-08_final.stac-item
2019-06-24 12:04:54	ga_s2bm_ard_3-2-1_49JGN_2019-06-24_final.stac-item
2019-06-28 11:46:46	ga_s2bm_ard_3-2-1_50HNK_2019-06-28_final.stac-item
2019-08-27 11:46:47	ga_s2bm_ard_3-2-1_50HQJ_2019-08-27_final.stac-item
2019-09-05 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2019-09-05_final.stac-item
2019-09-19 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2019-09-19_final.stac-item
2019-10-22 12:05:16	ga_s2bm_ard_3-2-1_49JGL_2019-10-22_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 12:14:38	ga_s2bm_ard_3-2-1_49JGN_2019-11-24_final.stac-item
2019-12-04 12:14:35	ga_s2bm_ard_3-2-1_49JGN_2019-12-04_final.stac-item
2020-01-27 11:56:47	ga_s2bm_ard_3-2-1_50HLJ_2020-01-27_final.stac-item
2020-02-12 12:13:50	ga_s2bm_ard_3-2-1_49KHR_2020-02-12_final.stac-item
2020-02-26 11:57:03	ga_s2bm_ard_3-2-1_50HMH_2020-02-26_final.stac-item
2020-03-24 11:46:40	ga_s2bm_ard_3-2-1_50HQJ_2020-03-24_final.stac-item
2020-05-13 11:46:29	ga_s2bm_ard_3-2-1_50HQK_2020-05-13_final.stac-item
2020-06-21 12:13:57	ga_s2bm_ard_3-2-1_49KHR_2020-06-21_final.stac-item
2020-06-22 11:46:36	ga_s2bm_ard_3-2-1_50HPK_2020-06-22_final.stac-item
2020-07-21 12:14:29	ga_s2bm_ard_3-2-1_49KGP_2020-07-21_final.stac-item
2020-07-31 12:14:32	ga_s2bm_ard_3-2-1_49KGP_2020-07-31_final.stac-item
2020-08-08 11:37:10	ga_s2bm_ard_3-2-1_50HPH_2020-08-08_final.stac-item
2020-08-24 11:56:03	ga_s2bm_ard_3-2-1_50JKN_2020-08-24_final.stac-item
2020-09-09 12:14:15	ga_s2bm_ard_3-2-1_49KGQ_2020-09-09_final.stac-item
2020-09-10 11:47:17	ga_s2bm_ard_3-2-1_50HLH_2020-09-10_final.stac-item
2020-09-29 12:14:30	ga_s2bm_ard_3-2-1_49KGP_2020-09-29_final.stac-item
2020-10-19 12:14:31	ga_s2bm_ard_3-2-1_49KGP_2020-10-19_final.stac-item
2020-11-05 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2020-11-05_final.stac-item
2020-12-06 11:36:47	ga_s2bm_ard_3-2-1_50HQJ_2020-12-06_final.stac-item
2020-12-12 11:56:48	ga_s2bm_ard_3-2-1_50HMJ_2020-12-12_final.stac-item
2020-12-25 12:04:58	ga_s2bm_ard_3-2-1_49JGM_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
2021-01-18 11:47:02	ga_s2bm_ard_3-2-1_50HPH_2021-01-18_final.stac-item
2021-02-26 12:14:31	ga_s2bm_ard_3-2-1_49KGP_2021-02-26_final.stac-item
2021-03-12 11:55:59	ga_s2bm_ard_3-2-1_50JKN_2021-03-12_final.stac-item
2021-03-25 12:04:30	ga_s2bm_ard_3-2-1_49KGP_2021-03-25_final.stac-item
2021-05-28 11:46:43	ga_s2bm_ard_3-2-1_50HQJ_2021-05-28_final.stac-item
2021-08-02 12:04:51	ga_s2bm_ard_3-2-1_49JGN_2021-08-02_final.stac-item
2021-09-05 11:47:21	ga_s2bm_ard_3-2-1_50HMG_2021-09-05_final
2021-09-08 11:56:37	ga_s2bm_ard_3-2-1_50HLK_2021-09-08_final.stac-item
2021-09-21 12:05:26	ga_s2bm_ard_3-2-1_49JGK_2021-09-21_final.stac-item
2021-11-03 12:15:11	ga_s2bm_ard_3-2-1_49JGL_2021-11-03_final.stac-item
2021-11-21 11:37:00	ga_s2bm_ard_3-2-1_50HQH_2021-11-21_final.stac-item
2021-11-23 12:13:55	ga_s2bm_ard_3-2-1_49KGR_2021-11-23_final.stac-item
2022-02-08 12:05:24	ga_s2bm_ard_3-2-1_49JGK_2022-02-08_final.stac-item
2022-04-23 11:46:38	ga_s2bm_ard_3-2-1_50HQJ_2022-04-23_final.stac-item
2022-04-26 11:56:59	ga_s2bm_ard_3-2-1_50HMH_2022-04-26_final.stac-item
2022-06-05 11:56:37	ga_s2bm_ard_3-2-1_50HMK_2022-06-05_final.stac-item
2022-07-08 12:05:05	ga_s2bm_ard_3-2-1_49JGM_2022-07-08_final.stac-item
2022-07-28 12:04:18	ga_s2bm_ard_3-2-1_49KHQ_2022-07-28_final.stac-item
2022-08-08 11:37:07	ga_s2bm_ard_3-2-1_50HQH_2022-08-08_final.stac-item
2022-08-18 11:37:05	ga_s2bm_ard_3-2-1_50HQH_2022-08-18_final.stac-item
2022-09-26 12:04:41	ga_s2bm_ard_3-2-1_49JGN_2022-09-26_final.stac-item
2022-10-06 12:04:43	ga_s2bm_ard_3-2-1_49JGN_2022-10-06_final.stac-item
2022-11-05 12:05:39	ga_s2bm_ard_3-2-1_50JKP_2022-11-05_final.stac-item
2022-11-29 11:46:42	ga_s2bm_ard_3-2-1_50HQJ_2022-11-29_final.stac-item
2023-03-05 12:05:32	ga_s2bm_ard_3-2-1_49JGK_2023-03-05_final
2023-05-07 12:14:15	ga_s2bm_ard_3-2-1_49KGQ_2023-05-07_final
2023-07-07 11:47:29	ga_s2bm_ard_3-2-1_50HMG_2023-07-07_final
2023-07-10 11:57:27	ga_s2bm_ard_3-2-1_50HLG_2023-07-10_final
2023-10-01 12:04:29	ga_s2bm_ard_3-2-1_49KGP_2023-10-01_final
2023-10-04 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2023-10-04_final
2023-10-08 11:55:57	ga_s2bm_ard_3-2-1_50JKN_2023-10-08_final
2023-10-28 11:55:48	ga_s2bm_ard_3-2-1_50JKP_2023-10-28_final
2024-01-20 11:36:48	ga_s2bm_ard_3-2-1_50HQJ_2024-01-20_final
2024-01-26 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2024-01-26_final
2024-02-09 11:36:48	ga_s2bm_ard_3-2-1_50HQJ_2024-02-09_final
2024-02-12 11:46:38	ga_s2bm_ard_3-2-1_50HNK_2024-02-12_final
2024-02-18 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2024-02-18_final
2024-02-25 11:57:19	ga_s2bm_ard_3-2-1_50HMG_2024-02-25_final
2024-03-09 12:04:13	ga_s2bm_ard_3-2-1_49KGQ_2024-03-09_final
2024-04-01 12:13:54	ga_s2bm_ard_3-2-1_49KHR_2024-04-01_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

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