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
2017-09-29 11:51:40	ga_s2bm_ard_3-2-1_50JLL_2017-09-29_final.stac-item
2017-12-05 11:46:02	ga_s2bm_ard_3-2-1_50HPK_2017-12-05_final.stac-item
2018-02-22 12:13:13	ga_s2bm_ard_3-2-1_49JGL_2018-02-22_final.stac-item
2018-03-25 11:44:34	ga_s2bm_ard_3-2-1_50HLH_2018-03-25_final.stac-item
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50JKN_2018-03-28_final.stac-item
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50JLL_2018-04-17_final.stac-item
2018-04-23 12:13:20	ga_s2bm_ard_3-2-1_49KGP_2018-04-23_final.stac-item
2018-10-20 12:13:18	ga_s2bm_ard_3-2-1_49JFM_2018-10-20_final.stac-item
2018-11-20 11:46:27	ga_s2bm_ard_3-2-1_50HQK_2018-11-20_final.stac-item
2018-11-23 11:56:33	ga_s2bm_ard_3-2-1_50HMK_2018-11-23_final.stac-item
2018-11-26 12:05:52	ga_s2bm_ard_3-2-1_50JKN_2018-11-26_final.stac-item
2018-11-30 11:46:29	ga_s2bm_ard_3-2-1_50HPK_2018-11-30_final.stac-item
2018-12-29 12:14:24	ga_s2bm_ard_3-2-1_49KGP_2018-12-29_final.stac-item
2019-01-05 12:05:53	ga_s2bm_ard_3-2-1_50JKN_2019-01-05_final.stac-item
2019-01-19 11:46:55	ga_s2bm_ard_3-2-1_50HMJ_2019-01-19_final.stac-item
2019-01-25 12:04:31	ga_s2bm_ard_3-2-1_49KGP_2019-01-25_final.stac-item
2019-04-06 11:37:06	ga_s2bm_ard_3-2-1_50HQH_2019-04-06_final.stac-item
2019-04-15 12:04:51	ga_s2bm_ard_3-2-1_49JGN_2019-04-15_final.stac-item
2019-05-15 12:04:22	ga_s2bm_ard_3-2-1_49KHQ_2019-05-15_final.stac-item
2019-05-15 12:04:40	ga_s2bm_ard_3-2-1_49KGP_2019-05-15_final.stac-item
2019-07-28 11:46:50	ga_s2bm_ard_3-2-1_50HQJ_2019-07-28_final.stac-item
2019-09-06 11:47:09	ga_s2bm_ard_3-2-1_50HNH_2019-09-06_final.stac-item
2019-09-25 12:13:58	ga_s2bm_ard_3-2-1_49KGR_2019-09-25_final.stac-item
2019-10-05 12:13:55	ga_s2bm_ard_3-2-1_49KHR_2019-10-05_final.stac-item
2019-10-13 11:37:08	ga_s2bm_ard_3-2-1_50HPH_2019-10-13_final.stac-item
2019-11-25 11:46:59	ga_s2bm_ard_3-2-1_50HPH_2019-11-25_final.stac-item
2019-12-11 12:05:23	ga_s2bm_ard_3-2-1_49JGK_2019-12-11_final.stac-item
2019-12-21 12:04:52	ga_s2bm_ard_3-2-1_50JKS_2019-12-21_final.stac-item
2019-12-21 12:05:24	ga_s2bm_ard_3-2-1_49JGK_2019-12-21_final.stac-item
2019-12-28 11:56:25	ga_s2bm_ard_3-2-1_50HNK_2019-12-28_final.stac-item
2020-01-03 12:13:53	ga_s2bm_ard_3-2-1_49KGR_2020-01-03_final.stac-item
2020-01-10 12:04:26	ga_s2bm_ard_3-2-1_49KGP_2020-01-10_final.stac-item
2020-02-23 11:46:39	ga_s2bm_ard_3-2-1_50HQJ_2020-02-23_final.stac-item
2020-03-13 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2020-03-13_final.stac-item
2020-04-19 12:04:26	ga_s2bm_ard_3-2-1_49KGP_2020-04-19_final.stac-item
2020-05-03 11:47:11	ga_s2bm_ard_3-2-1_50HLH_2020-05-03_final.stac-item
2020-05-29 12:04:32	ga_s2bm_ard_3-2-1_49KGP_2020-05-29_final.stac-item
2020-06-02 11:46:35	ga_s2bm_ard_3-2-1_50HPK_2020-06-02_final.stac-item
2020-07-01 12:13:57	ga_s2bm_ard_3-2-1_49KHR_2020-07-01_final.stac-item
2020-07-15 11:56:38	ga_s2bm_ard_3-2-1_50HMK_2020-07-15_final.stac-item
2020-08-24 11:56:29	ga_s2bm_ard_3-2-1_50JLL_2020-08-24_final.stac-item
2020-10-03 11:57:09	ga_s2bm_ard_3-2-1_50HMH_2020-10-03_final.stac-item
2020-10-23 11:57:13	ga_s2bm_ard_3-2-1_50HLH_2020-10-23_final.stac-item
2020-10-30 11:46:37	ga_s2bm_ard_3-2-1_50HPK_2020-10-30_final.stac-item
2020-12-09 11:46:51	ga_s2bm_ard_3-2-1_50HQH_2020-12-09_final.stac-item
2020-12-28 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2020-12-28_final.stac-item
2021-01-04 12:05:42	ga_s2bm_ard_3-2-1_49JGJ_2021-01-04_final.stac-item
2021-01-08 11:46:33	ga_s2bm_ard_3-2-1_50HPK_2021-01-08_final.stac-item
2021-01-14 12:04:31	ga_s2bm_ard_3-2-1_49KGP_2021-01-14_final.stac-item
2021-01-14 12:05:40	ga_s2bm_ard_3-2-1_50JKP_2021-01-14_final.stac-item
2021-01-17 12:14:43	ga_s2bm_ard_3-2-1_49JGN_2021-01-17_final.stac-item
2021-02-10 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2021-02-10_final.stac-item
2021-03-05 12:04:27	ga_s2bm_ard_3-2-1_49KHP_2021-03-05_final.stac-item
2021-03-09 11:46:51	ga_s2bm_ard_3-2-1_50HNJ_2021-03-09_final.stac-item
2021-04-24 12:04:26	ga_s2bm_ard_3-2-1_49KGP_2021-04-24_final.stac-item
2021-07-03 12:04:44	ga_s2bm_ard_3-2-1_49JGN_2021-07-03_final.stac-item
2021-08-02 12:05:31	ga_s2bm_ard_3-2-1_49JGK_2021-08-02_final.stac-item
2021-08-05 12:14:43	ga_s2bm_ard_3-2-1_49JGN_2021-08-05_final.stac-item
2021-08-06 11:46:39	ga_s2bm_ard_3-2-1_50HNK_2021-08-06_final.stac-item
2021-09-18 11:56:36	ga_s2bm_ard_3-2-1_50HLK_2021-09-18_final.stac-item
2021-11-10 12:06:04	ga_s2bm_ard_3-2-1_50JLM_2021-11-10_final.stac-item
2021-11-23 12:14:56	ga_s2bm_ard_3-2-1_49JFM_2021-11-23_final.stac-item
2021-11-27 11:56:50	ga_s2bm_ard_3-2-1_50HLJ_2021-11-27_final.stac-item
2021-11-30 12:04:56	ga_s2bm_ard_3-2-1_49JGM_2021-11-30_final.stac-item
2021-12-13 12:15:05	ga_s2bm_ard_3-2-1_49JGL_2021-12-13_final.stac-item
2022-01-12 12:15:06	ga_s2bm_ard_3-2-1_49JGL_2022-01-12_final.stac-item
2022-02-09 11:36:43	ga_s2bm_ard_3-2-1_50HQJ_2022-02-09_final.stac-item
2022-03-30 12:04:54	ga_s2bm_ard_3-2-1_50JKS_2022-03-30_final.stac-item
2022-05-09 12:05:38	ga_s2bm_ard_3-2-1_50JKP_2022-05-09_final.stac-item
2022-05-13 11:46:54	ga_s2bm_ard_3-2-1_50HMJ_2022-05-13_final.stac-item
2022-07-01 12:14:46	ga_s2bm_ard_3-2-1_49JGN_2022-07-01_final.stac-item
2022-07-12 11:46:38	ga_s2bm_ard_3-2-1_50HPK_2022-07-12_final.stac-item
2022-08-27 12:04:39	ga_s2bm_ard_3-2-1_50JKT_2022-08-27_final.stac-item
2022-09-16 12:04:30	ga_s2bm_ard_3-2-1_49KHP_2022-09-16_final.stac-item
2022-09-16 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2022-09-16_final.stac-item
2022-09-27 11:37:07	ga_s2bm_ard_3-2-1_50HPH_2022-09-27_final.stac-item
2022-10-26 12:05:28	ga_s2bm_ard_3-2-1_49JGK_2022-10-26_final.stac-item
2022-10-29 12:14:11	ga_s2bm_ard_3-2-1_49KGQ_2022-10-29_final.stac-item
2022-11-06 11:37:01	ga_s2bm_ard_3-2-1_50HQH_2022-11-06_final.stac-item
2022-11-12 11:55:59	ga_s2bm_ard_3-2-1_50JKN_2022-11-12_final.stac-item
2022-12-16 11:36:36	ga_s2bm_ard_3-2-1_50HPK_2022-12-16_final.stac-item
2022-12-25 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2022-12-25_final.stac-item
2023-01-05 11:37:19	ga_s2bm_ard_3-2-1_50HPG_2023-01-05_final
2023-02-03 12:05:26	ga_s2bm_ard_3-2-1_49JGK_2023-02-03_final.stac-item
2023-02-07 11:46:35	ga_s2bm_ard_3-2-1_50HNK_2023-02-07_final
2023-02-14 11:37:19	ga_s2bm_ard_3-2-1_50HPG_2023-02-14_final
2023-04-14 12:05:12	ga_s2bm_ard_3-2-1_50JKR_2023-04-14_final
2023-05-18 11:46:42	ga_s2bm_ard_3-2-1_50HNK_2023-05-18_final
2023-06-16 12:15:01	ga_s2bm_ard_3-2-1_49JGM_2023-06-16_final
2023-07-17 11:46:57	ga_s2bm_ard_3-2-1_50HNJ_2023-07-17_final
2023-08-25 12:14:31	ga_s2bm_ard_3-2-1_49KGP_2023-08-25_final
2023-09-12 11:36:37	ga_s2bm_ard_3-2-1_50HQK_2023-09-12_final
2023-11-03 12:14:59	ga_s2bm_ard_3-2-1_49JGM_2023-11-03_final
2024-01-09 12:05:39	ga_s2bm_ard_3-2-1_50JKP_2024-01-09_final
2024-01-22 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2024-01-22_final
2024-01-23 11:47:09	ga_s2bm_ard_3-2-1_50HMH_2024-01-23_final
2024-02-02 11:47:14	ga_s2bm_ard_3-2-1_50HPG_2024-02-02_final
2024-02-11 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2024-02-11_final
2024-03-10 11:36:47	ga_s2bm_ard_3-2-1_50HPJ_2024-03-10_final
2024-03-20 11:37:16	ga_s2bm_ard_3-2-1_50HQG_2024-03-20_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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