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
2017-07-04 12:04:34	ga_s2bm_ard_3-2-1_49JGK_2017-07-04_final.stac-item
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50HNH_2017-08-27_final.stac-item
2017-11-24 12:13:09	ga_s2bm_ard_3-2-1_49KHR_2017-11-24_final.stac-item
2017-12-31 12:02:39	ga_s2bm_ard_3-2-1_49JGJ_2017-12-31_final.stac-item
2017-12-31 12:02:39	ga_s2bm_ard_3-2-1_49JGL_2017-12-31_final.stac-item
2018-02-09 12:02:42	ga_s2bm_ard_3-2-1_49JGL_2018-02-09_final.stac-item
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_49JGK_2018-02-19_final.stac-item
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_50HLH_2018-03-05_final.stac-item
2018-03-14 12:13:13	ga_s2bm_ard_3-2-1_49JGN_2018-03-14_final.stac-item
2018-03-18 11:50:35	ga_s2bm_ard_3-2-1_50HLH_2018-03-18_final.stac-item
2018-04-13 12:13:19	ga_s2bm_ard_3-2-1_49JGN_2018-04-13_final.stac-item
2018-05-07 11:53:53	ga_s2bm_ard_3-2-1_50HLJ_2018-05-07_final.stac-item
2018-05-10 12:02:48	ga_s2bm_ard_3-2-1_49JGL_2018-05-10_final.stac-item
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50HMK_2018-06-06_final.stac-item
2018-10-07 12:02:45	ga_s2bm_ard_3-2-1_49KHR_2018-10-07_final.stac-item
2018-10-11 11:41:47	ga_s2bm_ard_3-2-1_50HNJ_2018-10-11_final.stac-item
2018-10-27 12:02:47	ga_s2bm_ard_3-2-1_49JGL_2018-10-27_final.stac-item
2018-10-27 12:02:47	ga_s2bm_ard_3-2-1_49KHR_2018-10-27_final.stac-item
2018-12-16 12:04:08	ga_s2bm_ard_3-2-1_49KHQ_2018-12-16_final.stac-item
2018-12-29 12:13:55	ga_s2bm_ard_3-2-1_49KGR_2018-12-29_final.stac-item
2019-01-08 12:13:57	ga_s2bm_ard_3-2-1_49KGR_2019-01-08_final.stac-item
2019-01-19 11:47:10	ga_s2bm_ard_3-2-1_50HMH_2019-01-19_final.stac-item
2019-02-27 12:15:06	ga_s2bm_ard_3-2-1_49JGL_2019-02-27_final.stac-item
2019-03-23 11:56:55	ga_s2bm_ard_3-2-1_50HLJ_2019-03-23_final.stac-item
2019-05-18 12:15:05	ga_s2bm_ard_3-2-1_49JGM_2019-05-18_final.stac-item
2019-05-19 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2019-05-19_final.stac-item
2019-05-25 12:04:08	ga_s2bm_ard_3-2-1_49KHR_2019-05-25_final.stac-item
2019-09-25 12:13:54	ga_s2bm_ard_3-2-1_49KHR_2019-09-25_final.stac-item
2019-10-26 11:47:07	ga_s2bm_ard_3-2-1_50HNH_2019-10-26_final.stac-item
2019-12-08 11:56:45	ga_s2bm_ard_3-2-1_50HMJ_2019-12-08_final.stac-item
2019-12-11 12:03:53	ga_s2bm_ard_3-2-1_49KHR_2019-12-11_final.stac-item
2019-12-21 12:04:26	ga_s2bm_ard_3-2-1_49KGP_2019-12-21_final.stac-item
2020-01-14 11:46:50	ga_s2bm_ard_3-2-1_50HMJ_2020-01-14_final.stac-item
2020-03-10 12:04:29	ga_s2bm_ard_3-2-1_49KGP_2020-03-10_final.stac-item
2020-03-17 11:56:49	ga_s2bm_ard_3-2-1_50HMJ_2020-03-17_final.stac-item
2020-04-19 12:04:37	ga_s2bm_ard_3-2-1_49JHN_2020-04-19_final.stac-item
2020-07-22 11:46:49	ga_s2bm_ard_3-2-1_50HNJ_2020-07-22_final.stac-item
2020-07-22 11:46:55	ga_s2bm_ard_3-2-1_50HNJ_2020-07-22_final.stac-item
2020-09-06 12:04:02	ga_s2bm_ard_3-2-1_49KHR_2020-09-06_final.stac-item
2020-09-09 12:14:59	ga_s2bm_ard_3-2-1_49JGM_2020-09-09_final.stac-item
2020-09-29 12:14:59	ga_s2bm_ard_3-2-1_49JGM_2020-09-29_final.stac-item
2020-09-29 12:15:13	ga_s2bm_ard_3-2-1_49JGL_2020-09-29_final.stac-item
2020-10-16 12:04:35	ga_s2bm_ard_3-2-1_49KGP_2020-10-16_final.stac-item
2020-10-23 11:56:44	ga_s2bm_ard_3-2-1_50HLK_2020-10-23_final.stac-item
2020-10-30 11:47:13	ga_s2bm_ard_3-2-1_50HMH_2020-10-30_final.stac-item
2020-11-19 11:47:10	ga_s2bm_ard_3-2-1_50HMH_2020-11-19_final.stac-item
2020-11-25 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2020-11-25_final.stac-item
2020-12-25 12:05:41	ga_s2bm_ard_3-2-1_49JGJ_2020-12-25_final.stac-item
2021-01-14 12:05:29	ga_s2bm_ard_3-2-1_49JGK_2021-01-14_final.stac-item
2021-01-27 12:14:41	ga_s2bm_ard_3-2-1_49JGN_2021-01-27_final.stac-item
2021-01-28 11:46:55	ga_s2bm_ard_3-2-1_50HMJ_2021-01-28_final.stac-item
2021-02-13 12:03:43	ga_s2bm_ard_3-2-1_49KHS_2021-02-13_final
2021-02-23 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2021-02-23_final.stac-item
2021-03-28 12:14:40	ga_s2bm_ard_3-2-1_49JGN_2021-03-28_final.stac-item
2021-04-14 12:04:57	ga_s2bm_ard_3-2-1_49JGM_2021-04-14_final.stac-item
2021-04-17 12:14:50	ga_s2bm_ard_3-2-1_49JGM_2021-04-17_final.stac-item
2021-05-18 11:46:40	ga_s2bm_ard_3-2-1_50HMK_2021-05-18_final.stac-item
2021-05-21 11:56:55	ga_s2bm_ard_3-2-1_50HLJ_2021-05-21_final.stac-item
2021-06-06 12:15:11	ga_s2bm_ard_3-2-1_49JGL_2021-06-06_final.stac-item
2021-07-03 12:04:51	ga_s2bm_ard_3-2-1_49JGN_2021-07-03_final.stac-item
2021-07-03 12:04:58	ga_s2bm_ard_3-2-1_49JHM_2021-07-03_final.stac-item
2021-07-26 12:14:29	ga_s2bm_ard_3-2-1_49KGP_2021-07-26_final.stac-item
2021-08-05 12:14:43	ga_s2bm_ard_3-2-1_49JGN_2021-08-05_final.stac-item
2021-08-12 12:05:30	ga_s2bm_ard_3-2-1_49JGK_2021-08-12_final.stac-item
2021-09-11 12:04:38	ga_s2bm_ard_3-2-1_49JHN_2021-09-11_final.stac-item
2021-10-31 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2021-10-31_final
2021-11-20 12:05:41	ga_s2bm_ard_3-2-1_49JGJ_2021-11-20_final.stac-item
2021-12-04 11:47:00	ga_s2bm_ard_3-2-1_50HNH_2021-12-04_final.stac-item
2021-12-20 12:04:55	ga_s2bm_ard_3-2-1_49JGM_2021-12-20_final.stac-item
2021-12-20 12:05:09	ga_s2bm_ard_3-2-1_49JGL_2021-12-20_final.stac-item
2022-01-12 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2022-01-12_final.stac-item
2022-01-16 11:57:01	ga_s2bm_ard_3-2-1_50HMH_2022-01-16_final.stac-item
2022-04-02 12:14:05	ga_s2bm_ard_3-2-1_49KHQ_2022-04-02_final.stac-item
2022-05-23 11:47:10	ga_s2bm_ard_3-2-1_50HMH_2022-05-23_final.stac-item
2022-06-28 12:04:44	ga_s2bm_ard_3-2-1_49JHN_2022-06-28_final.stac-item
2022-07-08 12:04:36	ga_s2bm_ard_3-2-1_49KGP_2022-07-08_final.stac-item
2022-08-17 12:04:21	ga_s2bm_ard_3-2-1_49KGQ_2022-08-17_final.stac-item
2022-09-10 11:47:08	ga_s2bm_ard_3-2-1_50HNH_2022-09-10_final.stac-item
2022-09-26 12:04:32	ga_s2bm_ard_3-2-1_49KGP_2022-09-26_final.stac-item
2022-09-26 12:05:01	ga_s2bm_ard_3-2-1_49JGM_2022-09-26_final.stac-item
2022-09-26 12:05:30	ga_s2bm_ard_3-2-1_49JGK_2022-09-26_final.stac-item
2022-10-09 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2022-10-09_final.stac-item
2022-11-18 12:14:41	ga_s2bm_ard_3-2-1_49JGN_2022-11-18_final.stac-item
2022-12-02 11:56:28	ga_s2bm_ard_3-2-1_50HNK_2022-12-02_final.stac-item
2023-01-21 11:56:49	ga_s2bm_ard_3-2-1_50HMJ_2023-01-21_final.stac-item
2023-02-06 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2023-02-06_final
2023-02-10 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2023-02-10_final.stac-item
2023-03-25 12:05:03	ga_s2bm_ard_3-2-1_49JGM_2023-03-25_final
2023-05-07 12:14:32	ga_s2bm_ard_3-2-1_49KGP_2023-05-07_final
2023-05-14 12:05:33	ga_s2bm_ard_3-2-1_49JGK_2023-05-14_final
2023-06-03 12:04:46	ga_s2bm_ard_3-2-1_49JHN_2023-06-03_final
2023-09-24 12:14:59	ga_s2bm_ard_3-2-1_49JGM_2023-09-24_final
2023-10-31 12:03:47	ga_s2bm_ard_3-2-1_49KHS_2023-10-31_final
2023-11-24 11:47:19	ga_s2bm_ard_3-2-1_50HMG_2023-11-24_final
2024-01-02 12:13:59	ga_s2bm_ard_3-2-1_49KGR_2024-01-02_final
2024-01-13 11:47:04	ga_s2bm_ard_3-2-1_50HNH_2024-01-13_final
2024-01-26 11:56:53	ga_s2bm_ard_3-2-1_50HLJ_2024-01-26_final
2024-02-22 11:47:10	ga_s2bm_ard_3-2-1_50HMH_2024-02-22_final
2024-03-29 12:05:44	ga_s2bm_ard_3-2-1_49JGJ_2024-03-29_final
2024-05-09 11:37:28	ga_s2bm_ard_3-2-1_50HNG_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

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