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
2017-09-15 12:13:36	ga_s2bm_ard_3-2-1_49JGN_2017-09-15_final.stac-item
2017-10-25 12:13:08	ga_s2bm_ard_3-2-1_49KGR_2017-10-25_final.stac-item
2017-10-25 12:13:08	ga_s2bm_ard_3-2-1_49KHR_2017-10-25_final.stac-item
2017-11-08 11:53:07	ga_s2bm_ard_3-2-1_50JLM_2017-11-08_final.stac-item
2017-11-22 11:35:56	ga_s2bm_ard_3-2-1_50HQH_2017-11-22_final.stac-item
2017-12-11 12:02:37	ga_s2bm_ard_3-2-1_50JLP_2017-12-11_final.stac-item
2017-12-28 11:49:08	ga_s2bm_ard_3-2-1_50HMH_2017-12-28_final.stac-item
2018-01-23 12:13:14	ga_s2bm_ard_3-2-1_49KHQ_2018-01-23_final.stac-item
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50HNK_2018-01-24_final.stac-item
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_49KHQ_2018-04-10_final.stac-item
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_49JGK_2018-04-20_final.stac-item
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_49JGL_2018-04-20_final.stac-item
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_50JLP_2018-04-20_final.stac-item
2018-07-13 11:46:48	ga_s2bm_ard_3-2-1_50HPH_2018-07-13_final.stac-item
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50HNK_2018-08-05_final.stac-item
2018-08-11 12:13:16	ga_s2bm_ard_3-2-1_49JGL_2018-08-11_final.stac-item
2018-08-19 11:35:15	ga_s2bm_ard_3-2-1_50HQH_2018-08-19_final.stac-item
2018-09-27 12:04:56	ga_s2bm_ard_3-2-1_50JLP_2018-09-27_final.stac-item
2018-10-04 11:52:44	ga_s2bm_ard_3-2-1_50HLJ_2018-10-04_final.stac-item
2018-12-20 11:47:01	ga_s2bm_ard_3-2-1_50HNH_2018-12-20_final.stac-item
2019-01-12 11:56:10	ga_s2bm_ard_3-2-1_50JLM_2019-01-12_final.stac-item
2019-02-14 12:05:26	ga_s2bm_ard_3-2-1_50JKQ_2019-02-14_final.stac-item
2019-02-27 12:13:53	ga_s2bm_ard_3-2-1_49KHR_2019-02-27_final.stac-item
2019-03-30 11:46:39	ga_s2bm_ard_3-2-1_50HNK_2019-03-30_final.stac-item
2019-04-12 11:55:51	ga_s2bm_ard_3-2-1_50JKP_2019-04-12_final.stac-item
2019-04-28 12:14:34	ga_s2bm_ard_3-2-1_49KGP_2019-04-28_final.stac-item
2019-05-12 11:55:55	ga_s2bm_ard_3-2-1_50JKP_2019-05-12_final.stac-item
2019-05-15 12:05:05	ga_s2bm_ard_3-2-1_49JHM_2019-05-15_final.stac-item
2019-05-25 12:05:35	ga_s2bm_ard_3-2-1_50JLQ_2019-05-25_final.stac-item
2019-06-28 11:46:46	ga_s2bm_ard_3-2-1_50HNK_2019-06-28_final.stac-item
2019-07-01 11:57:00	ga_s2bm_ard_3-2-1_50HMJ_2019-07-01_final.stac-item
2019-08-03 12:05:34	ga_s2bm_ard_3-2-1_50JKQ_2019-08-03_final.stac-item
2019-09-22 12:06:04	ga_s2bm_ard_3-2-1_50JLM_2019-09-22_final.stac-item
2019-11-05 11:46:52	ga_s2bm_ard_3-2-1_50HNJ_2019-11-05_final.stac-item
2019-11-28 11:56:07	ga_s2bm_ard_3-2-1_50JLM_2019-11-28_final.stac-item
2019-12-25 11:47:09	ga_s2bm_ard_3-2-1_50HLH_2019-12-25_final.stac-item
2019-12-31 12:05:59	ga_s2bm_ard_3-2-1_50JLM_2019-12-31_final.stac-item
2020-01-27 11:56:04	ga_s2bm_ard_3-2-1_50JLM_2020-01-27_final.stac-item
2020-02-29 12:04:43	ga_s2bm_ard_3-2-1_49JGN_2020-02-29_final.stac-item
2020-02-29 12:05:35	ga_s2bm_ard_3-2-1_50JLP_2020-02-29_final.stac-item
2020-03-20 12:04:40	ga_s2bm_ard_3-2-1_50JKT_2020-03-20_final.stac-item
2020-04-22 12:14:07	ga_s2bm_ard_3-2-1_49KGQ_2020-04-22_final.stac-item
2020-04-26 11:55:37	ga_s2bm_ard_3-2-1_50JLP_2020-04-26_final.stac-item
2020-05-23 11:46:45	ga_s2bm_ard_3-2-1_50HPJ_2020-05-23_final.stac-item
2020-06-08 12:05:31	ga_s2bm_ard_3-2-1_49JGK_2020-06-08_final.stac-item
2020-06-18 12:04:45	ga_s2bm_ard_3-2-1_50JKT_2020-06-18_final.stac-item
2020-06-25 11:56:32	ga_s2bm_ard_3-2-1_50HNK_2020-06-25_final.stac-item
2020-08-17 12:04:10	ga_s2bm_ard_3-2-1_49KHR_2020-08-17_final.stac-item
2020-09-06 12:04:44	ga_s2bm_ard_3-2-1_50JKT_2020-09-06_final.stac-item
2020-10-06 12:05:41	ga_s2bm_ard_3-2-1_50JLP_2020-10-06_final.stac-item
2020-10-26 12:05:41	ga_s2bm_ard_3-2-1_50JLP_2020-10-26_final.stac-item
2021-01-11 11:57:09	ga_s2bm_ard_3-2-1_50HLH_2021-01-11_final.stac-item
2021-01-24 12:05:23	ga_s2bm_ard_3-2-1_50JLQ_2021-01-24_final.stac-item
2021-02-23 12:04:16	ga_s2bm_ard_3-2-1_49KGQ_2021-02-23_final.stac-item
2021-02-23 12:04:44	ga_s2bm_ard_3-2-1_49JGN_2021-02-23_final.stac-item
2021-03-09 11:46:33	ga_s2bm_ard_3-2-1_50HPK_2021-03-09_final.stac-item
2021-03-12 11:55:41	ga_s2bm_ard_3-2-1_50JLP_2021-03-12_final.stac-item
2021-03-19 11:46:33	ga_s2bm_ard_3-2-1_50HPK_2021-03-19_final.stac-item
2021-04-05 11:37:04	ga_s2bm_ard_3-2-1_50HPH_2021-04-05_final.stac-item
2021-04-24 12:05:32	ga_s2bm_ard_3-2-1_50JLP_2021-04-24_final.stac-item
2021-05-01 11:55:09	ga_s2bm_ard_3-2-1_50JLR_2021-05-01_final.stac-item
2021-05-07 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2021-05-07_final.stac-item
2021-05-08 11:47:00	ga_s2bm_ard_3-2-1_50HPH_2021-05-08_final.stac-item
2021-05-11 11:56:24	ga_s2bm_ard_3-2-1_50JLL_2021-05-11_final.stac-item
2021-05-24 12:04:14	ga_s2bm_ard_3-2-1_49KHQ_2021-05-24_final.stac-item
2021-05-31 11:56:37	ga_s2bm_ard_3-2-1_50HMK_2021-05-31_final.stac-item
2021-06-03 12:05:38	ga_s2bm_ard_3-2-1_50JLP_2021-06-03_final.stac-item
2021-06-13 12:04:22	ga_s2bm_ard_3-2-1_49KHQ_2021-06-13_final.stac-item
2021-10-18 11:56:12	ga_s2bm_ard_3-2-1_50JLM_2021-10-18_final.stac-item
2021-10-18 11:56:31	ga_s2bm_ard_3-2-1_50HNK_2021-10-18_final.stac-item
2021-11-20 12:05:35	ga_s2bm_ard_3-2-1_50JLP_2021-11-20_final.stac-item
2022-01-03 11:46:39	ga_s2bm_ard_3-2-1_50HQJ_2022-01-03_final.stac-item
2022-01-10 11:36:48	ga_s2bm_ard_3-2-1_50HPJ_2022-01-10_final.stac-item
2022-01-13 11:46:44	ga_s2bm_ard_3-2-1_50HPJ_2022-01-13_final.stac-item
2022-01-29 12:04:40	ga_s2bm_ard_3-2-1_49JGN_2022-01-29_final.stac-item
2022-03-10 12:04:26	ga_s2bm_ard_3-2-1_49KHP_2022-03-10_final.stac-item
2022-03-11 11:37:00	ga_s2bm_ard_3-2-1_50HQH_2022-03-11_final.stac-item
2022-05-29 12:05:44	ga_s2bm_ard_3-2-1_49JGJ_2022-05-29_final.stac-item
2022-07-02 11:47:07	ga_s2bm_ard_3-2-1_50HPH_2022-07-02_final.stac-item
2022-11-02 11:56:09	ga_s2bm_ard_3-2-1_50JLM_2022-11-02_final.stac-item
2022-11-02 11:56:23	ga_s2bm_ard_3-2-1_50JLL_2022-11-02_final.stac-item
2022-11-15 12:04:18	ga_s2bm_ard_3-2-1_49KGQ_2022-11-15_final.stac-item
2023-01-28 11:47:00	ga_s2bm_ard_3-2-1_50HPH_2023-01-28_final.stac-item
2023-01-31 11:57:03	ga_s2bm_ard_3-2-1_50HMH_2023-01-31_final.stac-item
2023-02-24 11:36:52	ga_s2bm_ard_3-2-1_50HPJ_2023-02-24_final
2023-03-29 11:46:33	ga_s2bm_ard_3-2-1_50HQK_2023-03-29_final
2023-04-21 11:55:44	ga_s2bm_ard_3-2-1_50JLP_2023-04-21_final
2023-05-21 11:55:47	ga_s2bm_ard_3-2-1_50JLP_2023-05-21_final
2023-05-25 11:36:43	ga_s2bm_ard_3-2-1_50HPK_2023-05-25_final
2023-08-15 12:14:00	ga_s2bm_ard_3-2-1_49KHR_2023-08-15_final
2023-09-24 12:13:58	ga_s2bm_ard_3-2-1_49KHR_2023-09-24_final
2023-10-24 12:14:20	ga_s2bm_ard_3-2-1_49KGP_2023-10-24_final
2023-10-25 11:46:56	ga_s2bm_ard_3-2-1_50HMJ_2023-10-25_final
2023-10-28 11:56:27	ga_s2bm_ard_3-2-1_50JLL_2023-10-28_final
2023-11-07 11:57:08	ga_s2bm_ard_3-2-1_50HMH_2023-11-07_final
2023-11-21 11:36:30	ga_s2bm_ard_3-2-1_50HQK_2023-11-21_final
2023-11-21 11:36:45	ga_s2bm_ard_3-2-1_50HQJ_2023-11-21_final
2024-01-30 11:37:15	ga_s2bm_ard_3-2-1_50HQG_2024-01-30_final
2024-02-02 11:46:59	ga_s2bm_ard_3-2-1_50HMH_2024-02-02_final
2024-05-09 11:37:19	ga_s2bm_ard_3-2-1_50HPG_2024-05-09_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

All years