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
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50HMK_2017-08-27_final.stac-item
2017-09-12 12:04:33	ga_s2bm_ard_3-2-1_49JGN_2017-09-12_final.stac-item
2017-09-22 12:02:37	ga_s2bm_ard_3-2-1_49JGL_2017-09-22_final.stac-item
2017-11-15 11:46:01	ga_s2bm_ard_3-2-1_50HMJ_2017-11-15_final.stac-item
2017-12-01 12:02:38	ga_s2bm_ard_3-2-1_49JGM_2017-12-01_final.stac-item
2017-12-18 11:55:59	ga_s2bm_ard_3-2-1_50HLK_2017-12-18_final.stac-item
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_50HNK_2018-01-04_final.stac-item
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50HLH_2018-01-24_final.stac-item
2018-02-09 12:02:42	ga_s2bm_ard_3-2-1_49KHR_2018-02-09_final.stac-item
2018-02-13 11:43:42	ga_s2bm_ard_3-2-1_50HPK_2018-02-13_final.stac-item
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_49KHR_2018-03-01_final.stac-item
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_49JGM_2018-03-11_final.stac-item
2018-03-18 11:50:35	ga_s2bm_ard_3-2-1_50HLH_2018-03-18_final.stac-item
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_49JGN_2018-04-10_final.stac-item
2018-05-21 11:31:10	ga_s2bm_ard_3-2-1_50HPJ_2018-05-21_final.stac-item
2018-06-03 11:40:10	ga_s2bm_ard_3-2-1_50HMK_2018-06-03_final.stac-item
2018-07-29 12:04:59	ga_s2bm_ard_3-2-1_49JGM_2018-07-29_final.stac-item
2018-11-16 12:03:56	ga_s2bm_ard_3-2-1_49KHR_2018-11-16_final.stac-item
2018-12-06 12:05:38	ga_s2bm_ard_3-2-1_49JGJ_2018-12-06_final.stac-item
2019-02-11 11:56:30	ga_s2bm_ard_3-2-1_50HNK_2019-02-11_final.stac-item
2019-03-06 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2019-03-06_final.stac-item
2019-03-23 11:56:55	ga_s2bm_ard_3-2-1_50HLJ_2019-03-23_final.stac-item
2019-03-26 12:05:01	ga_s2bm_ard_3-2-1_49JGM_2019-03-26_final.stac-item
2019-04-09 11:46:41	ga_s2bm_ard_3-2-1_50HNK_2019-04-09_final.stac-item
2019-05-15 12:05:23	ga_s2bm_ard_3-2-1_49JGL_2019-05-15_final.stac-item
2019-05-19 11:46:58	ga_s2bm_ard_3-2-1_50HPJ_2019-05-19_final.stac-item
2019-06-04 12:05:23	ga_s2bm_ard_3-2-1_49JGL_2019-06-04_final.stac-item
2019-07-14 12:05:53	ga_s2bm_ard_3-2-1_49JGJ_2019-07-14_final.stac-item
2019-08-03 12:05:37	ga_s2bm_ard_3-2-1_49JGK_2019-08-03_final.stac-item
2019-09-02 12:05:18	ga_s2bm_ard_3-2-1_49JGL_2019-09-02_final.stac-item
2019-11-02 11:37:07	ga_s2bm_ard_3-2-1_50HPH_2019-11-02_final.stac-item
2020-01-03 12:15:05	ga_s2bm_ard_3-2-1_49JGL_2020-01-03_final.stac-item
2020-01-04 11:46:32	ga_s2bm_ard_3-2-1_50HNK_2020-01-04_final.stac-item
2020-02-23 11:46:34	ga_s2bm_ard_3-2-1_50HNK_2020-02-23_final.stac-item
2020-03-21 11:36:36	ga_s2bm_ard_3-2-1_50HPK_2020-03-21_final.stac-item
2020-03-24 11:46:46	ga_s2bm_ard_3-2-1_50HMK_2020-03-24_final.stac-item
2020-04-03 11:47:04	ga_s2bm_ard_3-2-1_50HNH_2020-04-03_final.stac-item
2020-04-13 11:46:58	ga_s2bm_ard_3-2-1_50HPH_2020-04-13_final.stac-item
2020-04-20 11:36:33	ga_s2bm_ard_3-2-1_50HPK_2020-04-20_final.stac-item
2020-06-28 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2020-06-28_final.stac-item
2020-07-29 11:36:54	ga_s2bm_ard_3-2-1_50HPJ_2020-07-29_final.stac-item
2020-08-17 12:05:18	ga_s2bm_ard_3-2-1_49JGL_2020-08-17_final.stac-item
2020-10-06 12:04:03	ga_s2bm_ard_3-2-1_49KHR_2020-10-06_final.stac-item
2020-11-19 11:47:03	ga_s2bm_ard_3-2-1_50HPH_2020-11-19_final.stac-item
2020-12-16 11:36:48	ga_s2bm_ard_3-2-1_50HPJ_2020-12-16_final.stac-item
2021-01-04 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2021-01-04_final.stac-item
2021-01-08 11:47:09	ga_s2bm_ard_3-2-1_50HMH_2021-01-08_final.stac-item
2021-01-11 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2021-01-11_final.stac-item
2021-01-15 11:36:37	ga_s2bm_ard_3-2-1_50HPK_2021-01-15_final.stac-item
2021-01-24 12:03:59	ga_s2bm_ard_3-2-1_49KHR_2021-01-24_final.stac-item
2021-02-13 12:04:30	ga_s2bm_ard_3-2-1_49KGP_2021-02-13_final.stac-item
2021-03-05 12:05:28	ga_s2bm_ard_3-2-1_49JGK_2021-03-05_final.stac-item
2021-03-29 11:46:36	ga_s2bm_ard_3-2-1_50HNK_2021-03-29_final.stac-item
2021-03-29 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2021-03-29_final.stac-item
2021-04-18 11:46:33	ga_s2bm_ard_3-2-1_50HNK_2021-04-18_final.stac-item
2021-04-21 11:57:00	ga_s2bm_ard_3-2-1_50HMH_2021-04-21_final.stac-item
2021-05-08 11:46:46	ga_s2bm_ard_3-2-1_50HPJ_2021-05-08_final.stac-item
2021-05-24 12:04:57	ga_s2bm_ard_3-2-1_49JHM_2021-05-24_final.stac-item
2021-06-04 11:37:22	ga_s2bm_ard_3-2-1_50HPG_2021-06-04_final
2021-06-23 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2021-06-23_final.stac-item
2021-06-26 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2021-06-26_final.stac-item
2021-07-03 12:04:23	ga_s2bm_ard_3-2-1_49KHP_2021-07-03_final.stac-item
2021-07-03 12:04:29	ga_s2bm_ard_3-2-1_49KHP_2021-07-03_final.stac-item
2021-08-12 12:04:32	ga_s2bm_ard_3-2-1_49KGP_2021-08-12_final.stac-item
2021-08-12 12:04:50	ga_s2bm_ard_3-2-1_49JGN_2021-08-12_final.stac-item
2021-08-16 11:47:21	ga_s2bm_ard_3-2-1_50HNG_2021-08-16_final
2021-08-22 12:04:56	ga_s2bm_ard_3-2-1_49JHM_2021-08-22_final.stac-item
2021-08-23 11:37:16	ga_s2bm_ard_3-2-1_50HQG_2021-08-23_final
2021-09-15 11:46:51	ga_s2bm_ard_3-2-1_50HMJ_2021-09-15_final.stac-item
2021-10-08 11:57:06	ga_s2bm_ard_3-2-1_50HMH_2021-10-08_final.stac-item
2021-10-14 12:14:32	ga_s2bm_ard_3-2-1_49KGP_2021-10-14_final.stac-item
2021-12-13 12:13:44	ga_s2bm_ard_3-2-1_49KHR_2021-12-13_final.stac-item
2021-12-23 12:14:51	ga_s2bm_ard_3-2-1_49JGM_2021-12-23_final.stac-item
2021-12-24 11:46:32	ga_s2bm_ard_3-2-1_50HNK_2021-12-24_final.stac-item
2022-01-09 12:04:57	ga_s2bm_ard_3-2-1_49JGM_2022-01-09_final.stac-item
2022-01-29 12:05:23	ga_s2bm_ard_3-2-1_49JGK_2022-01-29_final.stac-item
2022-06-02 11:46:40	ga_s2bm_ard_3-2-1_50HMK_2022-06-02_final.stac-item
2022-07-22 11:46:39	ga_s2bm_ard_3-2-1_50HPK_2022-07-22_final.stac-item
2022-08-31 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2022-08-31_final.stac-item
2022-09-19 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2022-09-19_final.stac-item
2022-11-22 11:56:29	ga_s2bm_ard_3-2-1_50HNK_2022-11-22_final.stac-item
2022-12-02 11:56:53	ga_s2bm_ard_3-2-1_50HLJ_2022-12-02_final.stac-item
2022-12-28 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2022-12-28_final.stac-item
2023-02-04 11:37:14	ga_s2bm_ard_3-2-1_50HQG_2023-02-04_final
2023-03-05 12:03:47	ga_s2bm_ard_3-2-1_49KHS_2023-03-05_final
2023-04-07 12:14:44	ga_s2bm_ard_3-2-1_49JGN_2023-04-07_final
2023-04-25 11:37:23	ga_s2bm_ard_3-2-1_50HPG_2023-04-25_final
2023-06-03 12:04:03	ga_s2bm_ard_3-2-1_49KHR_2023-06-03_final
2023-06-03 12:04:46	ga_s2bm_ard_3-2-1_49JHN_2023-06-03_final
2023-06-23 12:05:04	ga_s2bm_ard_3-2-1_49JGM_2023-06-23_final
2023-07-20 11:57:00	ga_s2bm_ard_3-2-1_50HLJ_2023-07-20_final
2023-07-27 11:46:54	ga_s2bm_ard_3-2-1_50HPJ_2023-07-27_final
2023-10-22 11:37:23	ga_s2bm_ard_3-2-1_50HPG_2023-10-22_final
2023-10-24 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2023-10-24_final
2023-11-03 12:14:44	ga_s2bm_ard_3-2-1_49JGN_2023-11-03_final
2023-12-04 11:46:52	ga_s2bm_ard_3-2-1_50HMJ_2023-12-04_final
2023-12-23 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2023-12-23_final
2024-02-18 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2024-02-18_final
2024-04-18 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2024-04-18_final
2024-04-28 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2024-04-28_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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