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
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50HMJ_2017-08-27_final.stac-item
2017-09-02 12:02:43	ga_s2bm_ard_3-2-1_49KHQ_2017-09-02_final.stac-item
2017-10-13 11:36:25	ga_s2bm_ard_3-2-1_50HQJ_2017-10-13_final.stac-item
2017-10-19 11:51:53	ga_s2bm_ard_3-2-1_50JKP_2017-10-19_final.stac-item
2017-11-05 11:37:39	ga_s2bm_ard_3-2-1_50HMH_2017-11-05_final.stac-item
2017-12-02 11:34:20	ga_s2bm_ard_3-2-1_50HPJ_2017-12-02_final.stac-item
2018-02-12 12:13:14	ga_s2bm_ard_3-2-1_49JGN_2018-02-12_final.stac-item
2018-03-08 11:51:37	ga_s2bm_ard_3-2-1_50HMH_2018-03-08_final.stac-item
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50JKP_2018-03-28_final.stac-item
2018-04-20 12:02:48	ga_s2bm_ard_3-2-1_49KHQ_2018-04-20_final.stac-item
2018-05-03 12:13:20	ga_s2bm_ard_3-2-1_49JGM_2018-05-03_final.stac-item
2018-05-07 11:53:53	ga_s2bm_ard_3-2-1_50JKP_2018-05-07_final.stac-item
2018-06-19 12:02:48	ga_s2bm_ard_3-2-1_49JGL_2018-06-19_final.stac-item
2018-07-29 12:02:46	ga_s2bm_ard_3-2-1_49KHP_2018-07-29_final.stac-item
2018-08-02 11:44:54	ga_s2bm_ard_3-2-1_50HQK_2018-08-02_final.stac-item
2018-12-20 11:46:29	ga_s2bm_ard_3-2-1_50HPK_2018-12-20_final.stac-item
2019-01-09 11:46:29	ga_s2bm_ard_3-2-1_50HQK_2019-01-09_final.stac-item
2019-01-09 11:46:54	ga_s2bm_ard_3-2-1_50HMJ_2019-01-09_final.stac-item
2019-02-18 11:46:39	ga_s2bm_ard_3-2-1_50HQJ_2019-02-18_final.stac-item
2019-03-20 11:47:13	ga_s2bm_ard_3-2-1_50HLH_2019-03-20_final.stac-item
2019-06-14 12:04:53	ga_s2bm_ard_3-2-1_49JGN_2019-06-14_final.stac-item
2019-06-17 12:14:10	ga_s2bm_ard_3-2-1_49KHQ_2019-06-17_final.stac-item
2019-07-08 11:46:39	ga_s2bm_ard_3-2-1_50HQK_2019-07-08_final.stac-item
2019-07-11 11:56:45	ga_s2bm_ard_3-2-1_50HMK_2019-07-11_final.stac-item
2019-08-30 11:56:55	ga_s2bm_ard_3-2-1_50HMJ_2019-08-30_final.stac-item
2019-09-22 12:06:09	ga_s2bm_ard_3-2-1_50JKM_2019-09-22_final.stac-item
2019-10-22 12:06:05	ga_s2bm_ard_3-2-1_50JLM_2019-10-22_final.stac-item
2019-11-18 11:57:07	ga_s2bm_ard_3-2-1_50HLH_2019-11-18_final.stac-item
2019-12-28 11:56:46	ga_s2bm_ard_3-2-1_50HMJ_2019-12-28_final.stac-item
2020-01-23 12:13:51	ga_s2bm_ard_3-2-1_49KGR_2020-01-23_final.stac-item
2020-01-24 11:47:03	ga_s2bm_ard_3-2-1_50HMH_2020-01-24_final.stac-item
2020-02-29 12:06:02	ga_s2bm_ard_3-2-1_50JLM_2020-02-29_final.stac-item
2020-03-03 12:14:06	ga_s2bm_ard_3-2-1_49KGQ_2020-03-03_final.stac-item
2020-03-04 11:47:00	ga_s2bm_ard_3-2-1_50HPH_2020-03-04_final.stac-item
2020-03-20 12:05:10	ga_s2bm_ard_3-2-1_50JKR_2020-03-20_final.stac-item
2020-03-23 12:14:39	ga_s2bm_ard_3-2-1_49JGN_2020-03-23_final.stac-item
2020-03-23 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2020-03-23_final.stac-item
2020-04-02 12:14:03	ga_s2bm_ard_3-2-1_49KGQ_2020-04-02_final.stac-item
2020-04-06 11:55:43	ga_s2bm_ard_3-2-1_50JKP_2020-04-06_final.stac-item
2020-04-16 11:56:07	ga_s2bm_ard_3-2-1_50JLM_2020-04-16_final.stac-item
2020-05-12 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2020-05-12_final.stac-item
2020-05-29 12:05:27	ga_s2bm_ard_3-2-1_50JKQ_2020-05-29_final.stac-item
2020-07-25 11:56:30	ga_s2bm_ard_3-2-1_50JLL_2020-07-25_final.stac-item
2020-08-30 12:14:59	ga_s2bm_ard_3-2-1_49JGM_2020-08-30_final.stac-item
2020-11-09 11:46:31	ga_s2bm_ard_3-2-1_50HQK_2020-11-09_final.stac-item
2020-11-19 11:46:38	ga_s2bm_ard_3-2-1_50HNK_2020-11-19_final.stac-item
2020-12-18 12:14:55	ga_s2bm_ard_3-2-1_49JFM_2020-12-18_final.stac-item
2021-01-08 11:47:05	ga_s2bm_ard_3-2-1_50HNH_2021-01-08_final.stac-item
2021-01-21 11:57:08	ga_s2bm_ard_3-2-1_50HMH_2021-01-21_final.stac-item
2021-05-17 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2021-05-17_final.stac-item
2021-05-28 11:47:07	ga_s2bm_ard_3-2-1_50HNH_2021-05-28_final.stac-item
2021-06-04 11:37:22	ga_s2bm_ard_3-2-1_50HPG_2021-06-04_final
2021-07-16 12:13:56	ga_s2bm_ard_3-2-1_49KHR_2021-07-16_final.stac-item
2021-08-02 12:04:44	ga_s2bm_ard_3-2-1_49JGN_2021-08-02_final.stac-item
2021-11-07 11:56:40	ga_s2bm_ard_3-2-1_50HLK_2021-11-07_final.stac-item
2021-11-24 11:46:37	ga_s2bm_ard_3-2-1_50HMK_2021-11-24_final.stac-item
2021-12-04 11:46:36	ga_s2bm_ard_3-2-1_50HMK_2021-12-04_final.stac-item
2021-12-04 11:47:11	ga_s2bm_ard_3-2-1_50HLH_2021-12-04_final.stac-item
2021-12-04 11:47:16	ga_s2bm_ard_3-2-1_50HNG_2021-12-04_final
2021-12-20 12:04:37	ga_s2bm_ard_3-2-1_50JKT_2021-12-20_final.stac-item
2022-01-16 11:56:47	ga_s2bm_ard_3-2-1_50HMJ_2022-01-16_final.stac-item
2022-01-16 11:57:01	ga_s2bm_ard_3-2-1_50HMH_2022-01-16_final.stac-item
2022-01-23 11:46:53	ga_s2bm_ard_3-2-1_50HPH_2022-01-23_final.stac-item
2022-02-02 11:46:46	ga_s2bm_ard_3-2-1_50HNJ_2022-02-02_final.stac-item
2022-02-22 11:46:46	ga_s2bm_ard_3-2-1_50HNJ_2022-02-22_final.stac-item
2022-03-14 11:46:32	ga_s2bm_ard_3-2-1_50HPK_2022-03-14_final.stac-item
2022-03-24 11:47:07	ga_s2bm_ard_3-2-1_50HMH_2022-03-24_final.stac-item
2022-04-12 12:13:55	ga_s2bm_ard_3-2-1_49KGR_2022-04-12_final.stac-item
2022-05-16 11:55:45	ga_s2bm_ard_3-2-1_50JKP_2022-05-16_final.stac-item
2022-06-01 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2022-06-01_final.stac-item
2022-06-15 11:56:14	ga_s2bm_ard_3-2-1_50JLM_2022-06-15_final.stac-item
2022-06-22 11:46:34	ga_s2bm_ard_3-2-1_50HQK_2022-06-22_final.stac-item
2022-08-07 12:04:52	ga_s2bm_ard_3-2-1_49JGN_2022-08-07_final.stac-item
2022-08-18 11:37:19	ga_s2bm_ard_3-2-1_50HQG_2022-08-18_final
2022-10-26 12:05:36	ga_s2bm_ard_3-2-1_50JKP_2022-10-26_final.stac-item
2022-10-27 11:36:33	ga_s2bm_ard_3-2-1_50HQK_2022-10-27_final.stac-item
2022-11-25 12:04:17	ga_s2bm_ard_3-2-1_49KGQ_2022-11-25_final.stac-item
2022-11-26 11:36:33	ga_s2bm_ard_3-2-1_50HQK_2022-11-26_final.stac-item
2022-12-22 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2022-12-22_final.stac-item
2022-12-29 11:46:51	ga_s2bm_ard_3-2-1_50HNJ_2022-12-29_final.stac-item
2023-02-04 11:37:14	ga_s2bm_ard_3-2-1_50HQG_2023-02-04_final
2023-02-13 12:06:08	ga_s2bm_ard_3-2-1_50JKM_2023-02-13_final
2023-03-08 12:15:00	ga_s2bm_ard_3-2-1_49JGM_2023-03-08_final
2023-04-04 12:04:17	ga_s2bm_ard_3-2-1_49KHQ_2023-04-04_final
2023-05-04 12:04:29	ga_s2bm_ard_3-2-1_49KHP_2023-05-04_final
2023-05-24 12:04:51	ga_s2bm_ard_3-2-1_49JGN_2023-05-24_final
2023-08-15 12:14:18	ga_s2bm_ard_3-2-1_49KGQ_2023-08-15_final
2023-09-15 11:46:33	ga_s2bm_ard_3-2-1_50HQK_2023-09-15_final
2023-10-01 12:05:28	ga_s2bm_ard_3-2-1_50JKQ_2023-10-01_final
2023-10-21 12:04:15	ga_s2bm_ard_3-2-1_49KHQ_2023-10-21_final
2023-11-01 11:36:54	ga_s2bm_ard_3-2-1_50HPJ_2023-11-01_final
2023-12-24 11:46:31	ga_s2bm_ard_3-2-1_50HQK_2023-12-24_final
2024-02-08 12:04:18	ga_s2bm_ard_3-2-1_49KGQ_2024-02-08_final
2024-03-06 11:56:21	ga_s2bm_ard_3-2-1_50JLL_2024-03-06_final
2024-03-16 11:55:45	ga_s2bm_ard_3-2-1_50JKP_2024-03-16_final
2024-04-01 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2024-04-01_final
2024-04-08 12:04:56	ga_s2bm_ard_3-2-1_50JKS_2024-04-08_final
2024-04-11 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2024-04-11_final
2024-04-18 12:04:19	ga_s2bm_ard_3-2-1_49KGQ_2024-04-18_final
2024-04-22 11:47:14	ga_s2bm_ard_3-2-1_50HLH_2024-04-22_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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