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 11:59:31	ga_s2bm_ard_3-2-1_49JHN_2017-07-04_final.stac-item
2017-07-04 12:04:34	ga_s2bm_ard_3-2-1_49JGL_2017-07-04_final.stac-item
2017-10-22 12:04:28	ga_s2bm_ard_3-2-1_49JGM_2017-10-22_final.stac-item
2017-11-15 11:46:01	ga_s2bm_ard_3-2-1_50HMJ_2017-11-15_final.stac-item
2017-12-28 11:49:08	ga_s2bm_ard_3-2-1_50JKM_2017-12-28_final.stac-item
2017-12-28 11:49:08	ga_s2bm_ard_3-2-1_50JKN_2017-12-28_final.stac-item
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50HNK_2018-01-14_final.stac-item
2018-01-23 12:13:14	ga_s2bm_ard_3-2-1_49KGR_2018-01-23_final.stac-item
2018-02-06 11:49:12	ga_s2bm_ard_3-2-1_50HLH_2018-02-06_final.stac-item
2018-02-10 11:35:47	ga_s2bm_ard_3-2-1_50HPH_2018-02-10_final.stac-item
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_49KGP_2018-03-01_final.stac-item
2018-03-18 11:50:35	ga_s2bm_ard_3-2-1_50HLJ_2018-03-18_final.stac-item
2018-04-03 12:13:18	ga_s2bm_ard_3-2-1_49KHP_2018-04-03_final.stac-item
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50HPJ_2018-07-03_final.stac-item
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_50HPJ_2018-07-23_final.stac-item
2018-07-29 12:04:59	ga_s2bm_ard_3-2-1_49JGL_2018-07-29_final.stac-item
2018-07-30 11:31:34	ga_s2bm_ard_3-2-1_50HPK_2018-07-30_final.stac-item
2018-08-21 12:13:39	ga_s2bm_ard_3-2-1_49JGM_2018-08-21_final.stac-item
2018-09-04 11:52:51	ga_s2bm_ard_3-2-1_50HLJ_2018-09-04_final.stac-item
2018-12-10 11:47:08	ga_s2bm_ard_3-2-1_50HLH_2018-12-10_final.stac-item
2018-12-30 11:47:07	ga_s2bm_ard_3-2-1_50HMH_2018-12-30_final.stac-item
2019-02-08 11:46:56	ga_s2bm_ard_3-2-1_50HMJ_2019-02-08_final.stac-item
2019-02-08 11:47:10	ga_s2bm_ard_3-2-1_50HMH_2019-02-08_final.stac-item
2019-02-21 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2019-02-21_final.stac-item
2019-03-17 11:36:36	ga_s2bm_ard_3-2-1_50HPK_2019-03-17_final.stac-item
2019-03-20 11:46:47	ga_s2bm_ard_3-2-1_50HMJ_2019-03-20_final.stac-item
2019-03-29 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2019-03-29_final.stac-item
2019-03-30 11:46:36	ga_s2bm_ard_3-2-1_50HPK_2019-03-30_final.stac-item
2019-04-06 11:36:37	ga_s2bm_ard_3-2-1_50HQK_2019-04-06_final.stac-item
2019-04-06 11:36:52	ga_s2bm_ard_3-2-1_50HQJ_2019-04-06_final.stac-item
2019-04-09 11:46:34	ga_s2bm_ard_3-2-1_50HQK_2019-04-09_final.stac-item
2019-04-26 11:36:41	ga_s2bm_ard_3-2-1_50HQK_2019-04-26_final.stac-item
2019-05-12 11:56:08	ga_s2bm_ard_3-2-1_50JKN_2019-05-12_final.stac-item
2019-05-18 12:14:50	ga_s2bm_ard_3-2-1_49JGN_2019-05-18_final.stac-item
2019-06-08 11:47:14	ga_s2bm_ard_3-2-1_50HNH_2019-06-08_final.stac-item
2019-06-25 11:36:42	ga_s2bm_ard_3-2-1_50HQK_2019-06-25_final.stac-item
2019-06-27 12:15:04	ga_s2bm_ard_3-2-1_49JGM_2019-06-27_final.stac-item
2019-08-03 12:05:52	ga_s2bm_ard_3-2-1_49JGJ_2019-08-03_final.stac-item
2019-08-17 11:46:43	ga_s2bm_ard_3-2-1_50HNK_2019-08-17_final.stac-item
2019-08-23 12:05:06	ga_s2bm_ard_3-2-1_49JGM_2019-08-23_final.stac-item
2019-09-12 12:05:56	ga_s2bm_ard_3-2-1_50JKN_2019-09-12_final.stac-item
2019-10-22 12:04:29	ga_s2bm_ard_3-2-1_49KHP_2019-10-22_final.stac-item
2019-11-05 11:47:14	ga_s2bm_ard_3-2-1_50HLH_2019-11-05_final.stac-item
2019-11-25 11:47:06	ga_s2bm_ard_3-2-1_50HMH_2019-11-25_final.stac-item
2020-01-07 11:56:49	ga_s2bm_ard_3-2-1_50HLJ_2020-01-07_final.stac-item
2020-01-14 11:47:09	ga_s2bm_ard_3-2-1_50HLH_2020-01-14_final.stac-item
2020-03-10 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2020-03-10_final.stac-item
2020-03-10 12:05:13	ga_s2bm_ard_3-2-1_49JGL_2020-03-10_final.stac-item
2020-03-20 12:04:40	ga_s2bm_ard_3-2-1_49JHN_2020-03-20_final.stac-item
2020-03-27 11:57:03	ga_s2bm_ard_3-2-1_50HMH_2020-03-27_final.stac-item
2020-04-03 11:47:04	ga_s2bm_ard_3-2-1_50HNH_2020-04-03_final.stac-item
2020-04-29 12:05:51	ga_s2bm_ard_3-2-1_50JKN_2020-04-29_final.stac-item
2020-06-25 11:55:49	ga_s2bm_ard_3-2-1_50JKP_2020-06-25_final.stac-item
2020-07-02 11:47:12	ga_s2bm_ard_3-2-1_50HMH_2020-07-02_final.stac-item
2020-07-19 11:36:39	ga_s2bm_ard_3-2-1_50HPK_2020-07-19_final.stac-item
2020-10-10 11:46:59	ga_s2bm_ard_3-2-1_50HMJ_2020-10-10_final.stac-item
2020-10-13 11:56:03	ga_s2bm_ard_3-2-1_50JKN_2020-10-13_final.stac-item
2020-10-20 11:46:44	ga_s2bm_ard_3-2-1_50HMK_2020-10-20_final.stac-item
2020-10-23 11:57:13	ga_s2bm_ard_3-2-1_50HLH_2020-10-23_final.stac-item
2020-10-26 12:05:00	ga_s2bm_ard_3-2-1_49JHM_2020-10-26_final.stac-item
2020-10-27 11:36:37	ga_s2bm_ard_3-2-1_50HQK_2020-10-27_final.stac-item
2020-10-27 11:36:51	ga_s2bm_ard_3-2-1_50HQJ_2020-10-27_final.stac-item
2020-10-30 11:46:55	ga_s2bm_ard_3-2-1_50HNJ_2020-10-30_final.stac-item
2021-01-08 11:46:40	ga_s2bm_ard_3-2-1_50HMK_2021-01-08_final.stac-item
2021-01-11 11:55:46	ga_s2bm_ard_3-2-1_50JKP_2021-01-11_final.stac-item
2021-01-18 11:46:40	ga_s2bm_ard_3-2-1_50HMK_2021-01-18_final.stac-item
2021-01-21 11:57:08	ga_s2bm_ard_3-2-1_50HMH_2021-01-21_final.stac-item
2021-01-28 11:47:06	ga_s2bm_ard_3-2-1_50HNH_2021-01-28_final.stac-item
2021-02-17 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2021-02-17_final.stac-item
2021-03-12 11:57:20	ga_s2bm_ard_3-2-1_50HMG_2021-03-12_final
2021-04-04 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2021-04-04_final.stac-item
2021-04-04 12:05:39	ga_s2bm_ard_3-2-1_50JKP_2021-04-04_final.stac-item
2021-04-05 11:36:35	ga_s2bm_ard_3-2-1_50HPK_2021-04-05_final.stac-item
2021-04-14 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2021-04-14_final.stac-item
2021-04-24 12:05:09	ga_s2bm_ard_3-2-1_49JGL_2021-04-24_final.stac-item
2021-04-28 11:47:16	ga_s2bm_ard_3-2-1_50HNG_2021-04-28_final
2021-05-01 11:55:42	ga_s2bm_ard_3-2-1_50JKP_2021-05-01_final.stac-item
2021-05-08 11:46:35	ga_s2bm_ard_3-2-1_50HNK_2021-05-08_final.stac-item
2021-05-21 11:56:30	ga_s2bm_ard_3-2-1_50HNK_2021-05-21_final.stac-item
2021-05-21 11:57:20	ga_s2bm_ard_3-2-1_50HMG_2021-05-21_final
2021-05-24 12:04:57	ga_s2bm_ard_3-2-1_49JHM_2021-05-24_final.stac-item
2021-06-03 12:05:16	ga_s2bm_ard_3-2-1_49JGL_2021-06-03_final.stac-item
2021-06-17 11:46:56	ga_s2bm_ard_3-2-1_50HMJ_2021-06-17_final.stac-item
2021-07-04 11:36:35	ga_s2bm_ard_3-2-1_50HQK_2021-07-04_final.stac-item
2021-07-27 11:46:43	ga_s2bm_ard_3-2-1_50HMK_2021-07-27_final.stac-item
2021-08-02 12:04:22	ga_s2bm_ard_3-2-1_49KHQ_2021-08-02_final.stac-item
2021-08-02 12:04:58	ga_s2bm_ard_3-2-1_49JHM_2021-08-02_final.stac-item
2021-08-06 11:46:39	ga_s2bm_ard_3-2-1_50HNK_2021-08-06_final.stac-item
2021-08-13 11:36:34	ga_s2bm_ard_3-2-1_50HQK_2021-08-13_final.stac-item
2021-08-22 12:04:12	ga_s2bm_ard_3-2-1_49KHQ_2021-08-22_final.stac-item
2021-08-23 11:36:33	ga_s2bm_ard_3-2-1_50HQK_2021-08-23_final.stac-item
2021-11-14 11:47:16	ga_s2bm_ard_3-2-1_50HPG_2021-11-14_final
2022-12-02 11:57:07	ga_s2bm_ard_3-2-1_50HLH_2022-12-02_final.stac-item
2023-01-21 11:55:57	ga_s2bm_ard_3-2-1_50JKN_2023-01-21_final.stac-item
2023-04-21 11:56:16	ga_s2bm_ard_3-2-1_50JKM_2023-04-21_final
2023-07-07 11:46:39	ga_s2bm_ard_3-2-1_50HPK_2023-07-07_final
2023-12-24 11:47:18	ga_s2bm_ard_3-2-1_50HPG_2023-12-24_final
2024-04-18 12:04:43	ga_s2bm_ard_3-2-1_49JHN_2024-04-18_final
2024-05-09 11:37:25	ga_s2bm_ard_3-2-1_50HPG_2024-05-09_final
2024-05-15 11:56:12	ga_s2bm_ard_3-2-1_50JKM_2024-05-15_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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