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
2017-07-14 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2017-07-14_final.stac-item
2017-07-27 12:14:41	ga_s2bm_ard_3-2-1_49JGL_2017-07-27_final.stac-item
2017-10-25 12:13:08	ga_s2bm_ard_3-2-1_49KGR_2017-10-25_final.stac-item
2017-11-01 12:02:36	ga_s2bm_ard_3-2-1_49JGK_2017-11-01_final.stac-item
2017-12-22 11:27:17	ga_s2bm_ard_3-2-1_50HPK_2017-12-22_final.stac-item
2018-02-12 12:13:14	ga_s2bm_ard_3-2-1_49JGL_2018-02-12_final.stac-item
2018-02-13 11:43:42	ga_s2bm_ard_3-2-1_50HNJ_2018-02-13_final.stac-item
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_49JHM_2018-02-19_final.stac-item
2018-03-04 12:13:12	ga_s2bm_ard_3-2-1_49KHR_2018-03-04_final.stac-item
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_50HPH_2018-03-05_final.stac-item
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_50HPJ_2018-03-05_final.stac-item
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_49JHN_2018-07-09_final.stac-item
2018-08-11 12:13:16	ga_s2bm_ard_3-2-1_49KGR_2018-08-11_final.stac-item
2018-09-14 11:52:51	ga_s2bm_ard_3-2-1_50HLJ_2018-09-14_final.stac-item
2018-09-24 11:52:42	ga_s2bm_ard_3-2-1_50HMK_2018-09-24_final.stac-item
2018-11-30 11:47:05	ga_s2bm_ard_3-2-1_50HMH_2018-11-30_final.stac-item
2018-12-03 11:56:46	ga_s2bm_ard_3-2-1_50HMJ_2018-12-03_final.stac-item
2019-01-12 11:56:29	ga_s2bm_ard_3-2-1_50HNK_2019-01-12_final.stac-item
2019-01-25 12:05:29	ga_s2bm_ard_3-2-1_49JGK_2019-01-25_final.stac-item
2019-02-08 11:46:52	ga_s2bm_ard_3-2-1_50HNJ_2019-02-08_final.stac-item
2019-02-15 11:37:06	ga_s2bm_ard_3-2-1_50HPH_2019-02-15_final.stac-item
2019-02-17 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2019-02-17_final.stac-item
2019-02-18 11:46:44	ga_s2bm_ard_3-2-1_50HQJ_2019-02-18_final.stac-item
2019-02-21 11:56:36	ga_s2bm_ard_3-2-1_50HMK_2019-02-21_final.stac-item
2019-02-25 11:36:51	ga_s2bm_ard_3-2-1_50HPJ_2019-02-25_final.stac-item
2019-03-17 11:36:32	ga_s2bm_ard_3-2-1_50HQK_2019-03-17_final.stac-item
2019-04-05 12:05:32	ga_s2bm_ard_3-2-1_49JGK_2019-04-05_final.stac-item
2019-06-17 12:14:49	ga_s2bm_ard_3-2-1_49JGN_2019-06-17_final.stac-item
2019-07-01 11:57:00	ga_s2bm_ard_3-2-1_50HMJ_2019-07-01_final.stac-item
2019-07-11 11:57:18	ga_s2bm_ard_3-2-1_50HLH_2019-07-11_final.stac-item
2019-08-06 12:14:21	ga_s2bm_ard_3-2-1_49KGQ_2019-08-06_final.stac-item
2019-08-30 11:57:10	ga_s2bm_ard_3-2-1_50HMH_2019-08-30_final.stac-item
2019-09-26 11:46:30	ga_s2bm_ard_3-2-1_50HQK_2019-09-26_final.stac-item
2019-10-02 12:04:57	ga_s2bm_ard_3-2-1_49JHM_2019-10-02_final.stac-item
2019-10-23 11:37:04	ga_s2bm_ard_3-2-1_50HQH_2019-10-23_final.stac-item
2019-11-01 12:04:57	ga_s2bm_ard_3-2-1_49JHM_2019-11-01_final.stac-item
2019-11-08 11:56:44	ga_s2bm_ard_3-2-1_50HLK_2019-11-08_final.stac-item
2019-11-14 12:14:11	ga_s2bm_ard_3-2-1_49KGQ_2019-11-14_final.stac-item
2019-11-15 11:46:39	ga_s2bm_ard_3-2-1_50HMK_2019-11-15_final.stac-item
2019-12-05 11:46:35	ga_s2bm_ard_3-2-1_50HMK_2019-12-05_final.stac-item
2020-01-24 11:46:23	ga_s2bm_ard_3-2-1_50HQK_2020-01-24_final.stac-item
2020-02-03 11:47:07	ga_s2bm_ard_3-2-1_50HLH_2020-02-03_final.stac-item
2020-02-13 11:47:05	ga_s2bm_ard_3-2-1_50HMH_2020-02-13_final.stac-item
2020-03-21 11:36:32	ga_s2bm_ard_3-2-1_50HQK_2020-03-21_final.stac-item
2020-03-31 11:36:35	ga_s2bm_ard_3-2-1_50HPK_2020-03-31_final.stac-item
2020-05-13 11:46:47	ga_s2bm_ard_3-2-1_50HMJ_2020-05-13_final.stac-item
2020-08-17 12:05:00	ga_s2bm_ard_3-2-1_49JHM_2020-08-17_final.stac-item
2020-10-26 12:05:04	ga_s2bm_ard_3-2-1_49JGM_2020-10-26_final.stac-item
2020-10-27 11:37:06	ga_s2bm_ard_3-2-1_50HQH_2020-10-27_final.stac-item
2020-11-05 12:04:59	ga_s2bm_ard_3-2-1_49JHM_2020-11-05_final.stac-item
2020-11-28 12:13:58	ga_s2bm_ard_3-2-1_49KGR_2020-11-28_final.stac-item
2020-12-08 12:14:19	ga_s2bm_ard_3-2-1_49KHP_2020-12-08_final.stac-item
2020-12-28 12:14:39	ga_s2bm_ard_3-2-1_49JGN_2020-12-28_final.stac-item
2021-01-14 12:06:09	ga_s2bm_ard_3-2-1_50JKM_2021-01-14_final.stac-item
2021-03-15 12:04:20	ga_s2bm_ard_3-2-1_49KHQ_2021-03-15_final.stac-item
2021-04-04 12:04:47	ga_s2bm_ard_3-2-1_49JGN_2021-04-04_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
2021-06-30 11:57:07	ga_s2bm_ard_3-2-1_50HMH_2021-06-30_final.stac-item
2021-07-06 12:14:14	ga_s2bm_ard_3-2-1_49KGQ_2021-07-06_final.stac-item
2021-07-17 11:46:57	ga_s2bm_ard_3-2-1_50HMJ_2021-07-17_final.stac-item
2021-07-27 11:47:26	ga_s2bm_ard_3-2-1_50HMG_2021-07-27_final
2021-08-02 12:05:16	ga_s2bm_ard_3-2-1_49JGL_2021-08-02_final.stac-item
2021-09-28 11:55:45	ga_s2bm_ard_3-2-1_50JKP_2021-09-28_final.stac-item
2021-10-01 12:04:22	ga_s2bm_ard_3-2-1_49KGQ_2021-10-01_final.stac-item
2021-10-04 12:14:13	ga_s2bm_ard_3-2-1_49KGQ_2021-10-04_final.stac-item
2021-11-03 12:14:22	ga_s2bm_ard_3-2-1_49KHP_2021-11-03_final.stac-item
2021-12-04 11:46:51	ga_s2bm_ard_3-2-1_50HMJ_2021-12-04_final.stac-item
2022-02-19 11:36:32	ga_s2bm_ard_3-2-1_50HPK_2022-02-19_final.stac-item
2022-03-11 11:36:32	ga_s2bm_ard_3-2-1_50HQK_2022-03-11_final.stac-item
2022-03-17 11:56:49	ga_s2bm_ard_3-2-1_50HMJ_2022-03-17_final.stac-item
2022-03-23 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2022-03-23_final.stac-item
2022-03-30 12:04:38	ga_s2bm_ard_3-2-1_49JGN_2022-03-30_final.stac-item
2022-04-12 12:14:53	ga_s2bm_ard_3-2-1_49JGM_2022-04-12_final.stac-item
2022-06-02 11:46:55	ga_s2bm_ard_3-2-1_50HMJ_2022-06-02_final.stac-item
2022-06-05 11:56:41	ga_s2bm_ard_3-2-1_50HLK_2022-06-05_final.stac-item
2022-06-12 11:46:33	ga_s2bm_ard_3-2-1_50HQK_2022-06-12_final.stac-item
2022-06-21 12:14:25	ga_s2bm_ard_3-2-1_49KHP_2022-06-21_final.stac-item
2022-07-18 12:04:23	ga_s2bm_ard_3-2-1_49KGQ_2022-07-18_final.stac-item
2022-08-07 12:04:22	ga_s2bm_ard_3-2-1_49KGQ_2022-08-07_final.stac-item
2022-10-13 11:55:45	ga_s2bm_ard_3-2-1_50JKP_2022-10-13_final.stac-item
2022-12-09 11:46:26	ga_s2bm_ard_3-2-1_50HQK_2022-12-09_final.stac-item
2022-12-15 12:04:44	ga_s2bm_ard_3-2-1_49JGN_2022-12-15_final.stac-item
2022-12-25 12:04:56	ga_s2bm_ard_3-2-1_49JHM_2022-12-25_final.stac-item
2023-01-04 12:04:44	ga_s2bm_ard_3-2-1_49JGN_2023-01-04_final.stac-item
2023-01-14 12:04:14	ga_s2bm_ard_3-2-1_49KGQ_2023-01-14_final.stac-item
2023-01-14 12:06:06	ga_s2bm_ard_3-2-1_50JKM_2023-01-14_final.stac-item
2023-01-18 11:46:53	ga_s2bm_ard_3-2-1_50HMJ_2023-01-18_final.stac-item
2023-05-18 11:47:25	ga_s2bm_ard_3-2-1_50HNG_2023-05-18_final
2023-06-06 12:14:13	ga_s2bm_ard_3-2-1_49KHQ_2023-06-06_final
2023-06-30 11:56:35	ga_s2bm_ard_3-2-1_50HNK_2023-06-30_final
2023-09-21 12:04:22	ga_s2bm_ard_3-2-1_49KGQ_2023-09-21_final
2023-09-28 11:56:54	ga_s2bm_ard_3-2-1_50HMJ_2023-09-28_final
2023-12-10 12:04:14	ga_s2bm_ard_3-2-1_49KGQ_2023-12-10_final
2024-01-10 11:36:36	ga_s2bm_ard_3-2-1_50HPK_2024-01-10_final
2024-01-26 11:57:04	ga_s2bm_ard_3-2-1_50HMH_2024-01-26_final
2024-03-29 12:04:18	ga_s2bm_ard_3-2-1_49KGQ_2024-03-29_final
2024-03-30 11:36:37	ga_s2bm_ard_3-2-1_50HPK_2024-03-30_final
2024-04-08 12:04:56	ga_s2bm_ard_3-2-1_49JHM_2024-04-08_final
2024-04-18 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2024-04-18_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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