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_49JGM_2017-07-04_final.stac-item
2017-07-11 11:49:46	ga_s2bm_ard_3-2-1_50JKP_2017-07-11_final.stac-item
2017-07-14 12:04:42	ga_s2bm_ard_3-2-1_49JFM_2017-07-14_final.stac-item
2017-08-26 12:13:17	ga_s2bm_ard_3-2-1_49JGM_2017-08-26_final.stac-item
2017-09-12 12:04:33	ga_s2bm_ard_3-2-1_50JKS_2017-09-12_final.stac-item
2017-12-14 12:13:09	ga_s2bm_ard_3-2-1_49KGQ_2017-12-14_final.stac-item
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_50HMJ_2017-12-15_final.stac-item
2018-02-03 11:46:07	ga_s2bm_ard_3-2-1_50HNH_2018-02-03_final.stac-item
2018-02-09 12:02:42	ga_s2bm_ard_3-2-1_50JKP_2018-02-09_final.stac-item
2018-02-10 11:35:47	ga_s2bm_ard_3-2-1_50HQJ_2018-02-10_final.stac-item
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_49JHN_2018-03-01_final.stac-item
2018-03-08 11:51:37	ga_s2bm_ard_3-2-1_50HLH_2018-03-08_final.stac-item
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_49JHN_2018-03-21_final.stac-item
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_50JKR_2018-03-21_final.stac-item
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_49KGP_2018-03-31_final.stac-item
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_49KHP_2018-03-31_final.stac-item
2018-04-03 12:13:18	ga_s2bm_ard_3-2-1_49JGM_2018-04-03_final.stac-item
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_49JHM_2018-04-10_final.stac-item
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_50JKS_2018-04-10_final.stac-item
2018-04-10 12:04:57	ga_s2bm_ard_3-2-1_49JHM_2018-04-10_final.stac-item
2018-04-10 12:04:57	ga_s2bm_ard_3-2-1_50JKS_2018-04-10_final.stac-item
2018-04-13 12:13:19	ga_s2bm_ard_3-2-1_49JFM_2018-04-13_final.stac-item
2018-04-23 12:13:20	ga_s2bm_ard_3-2-1_49JGN_2018-04-23_final.stac-item
2018-06-26 11:54:14	ga_s2bm_ard_3-2-1_50JKP_2018-06-26_final.stac-item
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_49JGL_2018-07-09_final.stac-item
2018-07-29 12:02:46	ga_s2bm_ard_3-2-1_49JGM_2018-07-29_final.stac-item
2018-08-15 11:54:27	ga_s2bm_ard_3-2-1_50JKN_2018-08-15_final.stac-item
2018-08-18 12:03:23	ga_s2bm_ard_3-2-1_49JGM_2018-08-18_final.stac-item
2018-11-29 12:13:50	ga_s2bm_ard_3-2-1_49KHR_2018-11-29_final.stac-item
2018-11-29 12:14:08	ga_s2bm_ard_3-2-1_49KGQ_2018-11-29_final.stac-item
2019-01-05 12:04:41	ga_s2bm_ard_3-2-1_50JKT_2019-01-05_final.stac-item
2019-01-08 12:14:07	ga_s2bm_ard_3-2-1_49KHQ_2019-01-08_final.stac-item
2019-01-08 12:14:25	ga_s2bm_ard_3-2-1_49KGP_2019-01-08_final.stac-item
2019-01-09 11:46:54	ga_s2bm_ard_3-2-1_50HMJ_2019-01-09_final.stac-item
2019-01-12 11:55:45	ga_s2bm_ard_3-2-1_50JKP_2019-01-12_final.stac-item
2019-01-12 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2019-01-12_final.stac-item
2019-01-18 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2019-01-18_final.stac-item
2019-01-22 11:56:51	ga_s2bm_ard_3-2-1_50HMJ_2019-01-22_final.stac-item
2019-01-28 12:13:55	ga_s2bm_ard_3-2-1_49KHR_2019-01-28_final.stac-item
2019-03-23 11:56:51	ga_s2bm_ard_3-2-1_50HMJ_2019-03-23_final.stac-item
2019-03-30 11:47:12	ga_s2bm_ard_3-2-1_50HMH_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
2019-04-25 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2019-04-25_final.stac-item
2019-04-25 12:06:02	ga_s2bm_ard_3-2-1_50JKN_2019-04-25_final.stac-item
2019-05-15 12:04:54	ga_s2bm_ard_3-2-1_49JGN_2019-05-15_final.stac-item
2019-05-22 11:56:49	ga_s2bm_ard_3-2-1_50HLK_2019-05-22_final.stac-item
2019-05-26 11:36:57	ga_s2bm_ard_3-2-1_50HQJ_2019-05-26_final.stac-item
2019-05-26 11:37:00	ga_s2bm_ard_3-2-1_50HPJ_2019-05-26_final.stac-item
2019-05-29 11:47:15	ga_s2bm_ard_3-2-1_50HNH_2019-05-29_final.stac-item
2019-06-04 12:05:23	ga_s2bm_ard_3-2-1_49JGL_2019-06-04_final.stac-item
2020-02-06 11:56:45	ga_s2bm_ard_3-2-1_50HMJ_2020-02-06_final.stac-item
2020-03-04 11:47:07	ga_s2bm_ard_3-2-1_50HMH_2020-03-04_final.stac-item
2020-03-07 11:57:03	ga_s2bm_ard_3-2-1_50HMH_2020-03-07_final.stac-item
2020-03-24 11:46:46	ga_s2bm_ard_3-2-1_50HMJ_2020-03-24_final.stac-item
2020-03-27 11:57:03	ga_s2bm_ard_3-2-1_50HMH_2020-03-27_final.stac-item
2020-05-29 12:05:42	ga_s2bm_ard_3-2-1_50JKP_2020-05-29_final.stac-item
2020-10-19 12:13:58	ga_s2bm_ard_3-2-1_49KHR_2020-10-19_final.stac-item
2020-10-19 12:14:12	ga_s2bm_ard_3-2-1_49KHQ_2020-10-19_final.stac-item
2020-10-27 11:36:37	ga_s2bm_ard_3-2-1_50HQK_2020-10-27_final.stac-item
2020-10-29 12:14:24	ga_s2bm_ard_3-2-1_49KHP_2020-10-29_final.stac-item
2020-10-30 11:46:40	ga_s2bm_ard_3-2-1_50HNK_2020-10-30_final.stac-item
2020-10-30 11:47:13	ga_s2bm_ard_3-2-1_50HMH_2020-10-30_final.stac-item
2020-11-05 12:04:48	ga_s2bm_ard_3-2-1_49JGN_2020-11-05_final.stac-item
2020-11-09 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2020-11-09_final.stac-item
2020-12-18 12:13:56	ga_s2bm_ard_3-2-1_49KGR_2020-12-18_final.stac-item
2021-01-08 11:46:54	ga_s2bm_ard_3-2-1_50HMJ_2021-01-08_final.stac-item
2021-02-17 11:46:53	ga_s2bm_ard_3-2-1_50HMJ_2021-02-17_final.stac-item
2021-04-21 11:55:54	ga_s2bm_ard_3-2-1_50JKN_2021-04-21_final.stac-item
2021-04-24 12:05:35	ga_s2bm_ard_3-2-1_50JKP_2021-04-24_final.stac-item
2021-05-14 12:04:59	ga_s2bm_ard_3-2-1_49JGM_2021-05-14_final.stac-item
2021-06-03 12:05:42	ga_s2bm_ard_3-2-1_50JKP_2021-06-03_final.stac-item
2021-06-13 12:04:50	ga_s2bm_ard_3-2-1_49JGN_2021-06-13_final.stac-item
2021-06-23 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2021-06-23_final.stac-item
2021-06-23 12:05:12	ga_s2bm_ard_3-2-1_50JKR_2021-06-23_final.stac-item
2021-06-26 12:14:21	ga_s2bm_ard_3-2-1_49KHP_2021-06-26_final.stac-item
2021-06-27 11:46:38	ga_s2bm_ard_3-2-1_50HNK_2021-06-27_final.stac-item
2021-06-30 11:55:47	ga_s2bm_ard_3-2-1_50JKP_2021-06-30_final.stac-item
2021-07-03 12:04:43	ga_s2bm_ard_3-2-1_50JKT_2021-07-03_final.stac-item
2021-07-04 11:36:35	ga_s2bm_ard_3-2-1_50HQK_2021-07-04_final.stac-item
2021-07-07 11:46:42	ga_s2bm_ard_3-2-1_50HMK_2021-07-07_final.stac-item
2021-07-10 11:57:08	ga_s2bm_ard_3-2-1_50HMH_2021-07-10_final.stac-item
2021-07-13 12:05:28	ga_s2bm_ard_3-2-1_50JKQ_2021-07-13_final.stac-item
2021-07-24 11:37:05	ga_s2bm_ard_3-2-1_50HQH_2021-07-24_final.stac-item
2021-07-27 11:46:43	ga_s2bm_ard_3-2-1_50HMK_2021-07-27_final.stac-item
2021-08-03 11:37:19	ga_s2bm_ard_3-2-1_50HQG_2021-08-03_final
2021-08-12 12:04:50	ga_s2bm_ard_3-2-1_49JGN_2021-08-12_final.stac-item
2021-08-22 12:04:17	ga_s2bm_ard_3-2-1_49KGQ_2021-08-22_final.stac-item
2021-08-22 12:04:30	ga_s2bm_ard_3-2-1_49KGP_2021-08-22_final.stac-item
2021-08-23 11:36:37	ga_s2bm_ard_3-2-1_50HPK_2021-08-23_final.stac-item
2021-08-23 11:37:16	ga_s2bm_ard_3-2-1_50HQG_2021-08-23_final
2021-10-22 11:37:22	ga_s2bm_ard_3-2-1_50HPG_2021-10-22_final
2021-11-17 11:57:07	ga_s2bm_ard_3-2-1_50HLH_2021-11-17_final.stac-item
2021-12-04 11:46:29	ga_s2bm_ard_3-2-1_50HPK_2021-12-04_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 11:46:38	ga_s2bm_ard_3-2-1_50HQJ_2021-12-04_final.stac-item
2021-12-04 11:47:02	ga_s2bm_ard_3-2-1_50HMH_2021-12-04_final.stac-item
2021-12-13 12:14:50	ga_s2bm_ard_3-2-1_49JGM_2021-12-13_final.stac-item
2022-02-11 12:13:49	ga_s2bm_ard_3-2-1_49KHR_2022-02-11_final.stac-item
2023-06-17 11:47:22	ga_s2bm_ard_3-2-1_50HPG_2023-06-17_final
2023-07-17 11:46:59	ga_s2bm_ard_3-2-1_50HQH_2023-07-17_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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