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
2017-07-25 11:34:58	ga_s2bm_ard_3-2-1_50HPH_2017-07-25_final.stac-item
2017-08-07 11:45:07	ga_s2bm_ard_3-2-1_50HPJ_2017-08-07_final.stac-item
2017-10-06 11:40:29	ga_s2bm_ard_3-2-1_50HPJ_2017-10-06_final.stac-item
2017-11-28 11:55:59	ga_s2bm_ard_3-2-1_50HLK_2017-11-28_final.stac-item
2017-12-08 11:49:07	ga_s2bm_ard_3-2-1_50HNK_2017-12-08_final.stac-item
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_50HLH_2017-12-15_final.stac-item
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50HNK_2018-01-14_final.stac-item
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50HMH_2018-01-24_final.stac-item
2018-02-13 11:43:42	ga_s2bm_ard_3-2-1_50HMH_2018-02-13_final.stac-item
2018-03-04 12:13:12	ga_s2bm_ard_3-2-1_49KGQ_2018-03-04_final.stac-item
2018-03-15 11:39:58	ga_s2bm_ard_3-2-1_50HMH_2018-03-15_final.stac-item
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_49KGQ_2018-04-10_final.stac-item
2018-05-10 12:02:48	ga_s2bm_ard_3-2-1_49JGL_2018-05-10_final.stac-item
2018-05-14 11:43:22	ga_s2bm_ard_3-2-1_50HPK_2018-05-14_final.stac-item
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_50HNK_2018-07-23_final.stac-item
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_50HPJ_2018-07-23_final.stac-item
2018-09-01 11:46:11	ga_s2bm_ard_3-2-1_50HMH_2018-09-01_final.stac-item
2018-09-14 11:52:51	ga_s2bm_ard_3-2-1_50HLJ_2018-09-14_final.stac-item
2018-12-06 12:03:54	ga_s2bm_ard_3-2-1_49KHR_2018-12-06_final.stac-item
2019-01-12 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2019-01-12_final.stac-item
2019-01-18 12:13:54	ga_s2bm_ard_3-2-1_49KHR_2019-01-18_final.stac-item
2019-02-18 11:47:14	ga_s2bm_ard_3-2-1_50HLH_2019-02-18_final.stac-item
2019-03-27 11:36:49	ga_s2bm_ard_3-2-1_50HQJ_2019-03-27_final.stac-item
2019-04-02 11:56:57	ga_s2bm_ard_3-2-1_50HLJ_2019-04-02_final.stac-item
2019-07-24 12:04:22	ga_s2bm_ard_3-2-1_49KHQ_2019-07-24_final.stac-item
2019-08-04 11:37:10	ga_s2bm_ard_3-2-1_50HQH_2019-08-04_final.stac-item
2019-08-23 12:05:20	ga_s2bm_ard_3-2-1_49JGL_2019-08-23_final.stac-item
2019-08-30 11:56:44	ga_s2bm_ard_3-2-1_50HLK_2019-08-30_final.stac-item
2019-08-30 11:56:58	ga_s2bm_ard_3-2-1_50HLJ_2019-08-30_final.stac-item
2019-10-03 11:36:49	ga_s2bm_ard_3-2-1_50HQJ_2019-10-03_final.stac-item
2019-12-21 12:05:10	ga_s2bm_ard_3-2-1_49JGL_2019-12-21_final.stac-item
2019-12-24 12:14:08	ga_s2bm_ard_3-2-1_49KGQ_2019-12-24_final.stac-item
2019-12-31 12:03:54	ga_s2bm_ard_3-2-1_49KHR_2019-12-31_final.stac-item
2019-12-31 12:04:56	ga_s2bm_ard_3-2-1_49JGM_2019-12-31_final.stac-item
2020-01-04 11:47:05	ga_s2bm_ard_3-2-1_50HMH_2020-01-04_final.stac-item
2020-01-21 11:36:56	ga_s2bm_ard_3-2-1_50HQH_2020-01-21_final.stac-item
2020-01-24 11:47:07	ga_s2bm_ard_3-2-1_50HLH_2020-01-24_final.stac-item
2020-02-12 12:14:22	ga_s2bm_ard_3-2-1_49KGP_2020-02-12_final.stac-item
2020-03-20 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2020-03-20_final.stac-item
2020-05-06 11:56:48	ga_s2bm_ard_3-2-1_50HMJ_2020-05-06_final.stac-item
2020-06-28 12:05:03	ga_s2bm_ard_3-2-1_49JGM_2020-06-28_final.stac-item
2020-07-25 11:56:32	ga_s2bm_ard_3-2-1_50HNK_2020-07-25_final.stac-item
2020-10-27 11:36:51	ga_s2bm_ard_3-2-1_50HQJ_2020-10-27_final.stac-item
2020-10-29 12:14:59	ga_s2bm_ard_3-2-1_49JGM_2020-10-29_final.stac-item
2020-11-29 11:46:51	ga_s2bm_ard_3-2-1_50HNJ_2020-11-29_final.stac-item
2021-03-05 12:04:30	ga_s2bm_ard_3-2-1_49KGP_2021-03-05_final.stac-item
2021-03-19 11:47:23	ga_s2bm_ard_3-2-1_50HMG_2021-03-19_final
2021-04-14 12:04:24	ga_s2bm_ard_3-2-1_49KHP_2021-04-14_final.stac-item
2021-05-08 11:46:41	ga_s2bm_ard_3-2-1_50HQJ_2021-05-08_final.stac-item
2021-05-25 11:36:49	ga_s2bm_ard_3-2-1_50HQJ_2021-05-25_final.stac-item
2021-05-28 11:47:21	ga_s2bm_ard_3-2-1_50HNG_2021-05-28_final
2021-06-07 11:46:38	ga_s2bm_ard_3-2-1_50HNK_2021-06-07_final.stac-item
2021-06-07 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2021-06-07_final.stac-item
2021-06-26 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2021-06-26_final.stac-item
2021-06-26 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2021-06-26_final.stac-item
2021-07-06 12:14:28	ga_s2bm_ard_3-2-1_49KGP_2021-07-06_final.stac-item
2021-08-12 12:04:22	ga_s2bm_ard_3-2-1_49KHP_2021-08-12_final.stac-item
2021-08-13 11:36:52	ga_s2bm_ard_3-2-1_50HPJ_2021-08-13_final.stac-item
2021-08-16 11:47:06	ga_s2bm_ard_3-2-1_50HNH_2021-08-16_final.stac-item
2021-09-01 12:04:10	ga_s2bm_ard_3-2-1_49KHQ_2021-09-01_final.stac-item
2021-09-05 11:47:03	ga_s2bm_ard_3-2-1_50HNH_2021-09-05_final.stac-item
2021-10-08 11:56:41	ga_s2bm_ard_3-2-1_50HLK_2021-10-08_final.stac-item
2021-10-15 11:47:18	ga_s2bm_ard_3-2-1_50HPG_2021-10-15_final
2021-10-28 11:57:11	ga_s2bm_ard_3-2-1_50HLH_2021-10-28_final.stac-item
2021-11-11 11:36:51	ga_s2bm_ard_3-2-1_50HPJ_2021-11-11_final.stac-item
2021-11-14 11:47:23	ga_s2bm_ard_3-2-1_50HMG_2021-11-14_final
2021-12-04 11:47:07	ga_s2bm_ard_3-2-1_50HNH_2021-12-04_final.stac-item
2021-12-30 12:03:55	ga_s2bm_ard_3-2-1_49KHR_2021-12-30_final.stac-item
2022-01-16 11:57:01	ga_s2bm_ard_3-2-1_50HMH_2022-01-16_final.stac-item
2022-02-01 12:14:35	ga_s2bm_ard_3-2-1_49JGN_2022-02-01_final.stac-item
2022-03-13 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2022-03-13_final.stac-item
2022-03-17 11:56:28	ga_s2bm_ard_3-2-1_50HNK_2022-03-17_final.stac-item
2022-03-20 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2022-03-20_final.stac-item
2022-04-22 12:14:22	ga_s2bm_ard_3-2-1_49KGP_2022-04-22_final.stac-item
2022-04-26 11:56:45	ga_s2bm_ard_3-2-1_50HMJ_2022-04-26_final.stac-item
2022-06-18 12:04:43	ga_s2bm_ard_3-2-1_49JHN_2022-06-18_final.stac-item
2022-07-02 11:46:57	ga_s2bm_ard_3-2-1_50HNJ_2022-07-02_final.stac-item
2022-08-04 11:57:10	ga_s2bm_ard_3-2-1_50HMH_2022-08-04_final.stac-item
2022-09-10 11:46:50	ga_s2bm_ard_3-2-1_50HPJ_2022-09-10_final.stac-item
2022-09-16 12:04:41	ga_s2bm_ard_3-2-1_49JHN_2022-09-16_final.stac-item
2022-12-08 12:13:51	ga_s2bm_ard_3-2-1_49KHR_2022-12-08_final.stac-item
2022-12-08 12:13:55	ga_s2bm_ard_3-2-1_49KGR_2022-12-08_final.stac-item
2022-12-12 11:57:03	ga_s2bm_ard_3-2-1_50HMH_2022-12-12_final.stac-item
2023-01-01 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2023-01-01_final.stac-item
2023-01-05 11:37:19	ga_s2bm_ard_3-2-1_50HPG_2023-01-05_final
2023-01-15 11:37:17	ga_s2bm_ard_3-2-1_50HPG_2023-01-15_final
2023-02-10 11:57:04	ga_s2bm_ard_3-2-1_50HMH_2023-02-10_final.stac-item
2023-02-16 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2023-02-16_final
2023-04-01 11:57:13	ga_s2bm_ard_3-2-1_50HLH_2023-04-01_final
2023-05-15 11:37:25	ga_s2bm_ard_3-2-1_50HPG_2023-05-15_final
2023-05-21 11:56:45	ga_s2bm_ard_3-2-1_50HLK_2023-05-21_final
2023-06-13 12:04:04	ga_s2bm_ard_3-2-1_49KHR_2023-06-13_final
2023-07-03 12:05:06	ga_s2bm_ard_3-2-1_49JGM_2023-07-03_final
2023-08-05 12:15:01	ga_s2bm_ard_3-2-1_49JGM_2023-08-05_final
2023-08-06 11:47:22	ga_s2bm_ard_3-2-1_50HPG_2023-08-06_final
2023-11-17 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2023-11-17_final
2024-01-13 11:46:53	ga_s2bm_ard_3-2-1_50HMJ_2024-01-13_final
2024-02-12 11:47:11	ga_s2bm_ard_3-2-1_50HMH_2024-02-12_final
2024-02-15 11:56:52	ga_s2bm_ard_3-2-1_50HMJ_2024-02-15_final
2024-03-16 11:56:28	ga_s2bm_ard_3-2-1_50HNK_2024-03-16_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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