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
2017-09-09 11:51:47	ga_s2bm_ard_3-2-1_50HLK_2017-09-09_final.stac-item
2017-11-04 12:13:08	ga_s2bm_ard_3-2-1_49KGP_2017-11-04_final.stac-item
2017-11-15 11:46:01	ga_s2bm_ard_3-2-1_50HMH_2017-11-15_final.stac-item
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_50HNK_2017-12-15_final.stac-item
2017-12-31 12:02:39	ga_s2bm_ard_3-2-1_49JGL_2017-12-31_final.stac-item
2018-01-21 11:35:57	ga_s2bm_ard_3-2-1_50HQK_2018-01-21_final.stac-item
2018-01-27 11:56:04	ga_s2bm_ard_3-2-1_50HLH_2018-01-27_final.stac-item
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_50HQJ_2018-04-21_final.stac-item
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_49KHR_2018-07-09_final.stac-item
2018-07-10 11:30:50	ga_s2bm_ard_3-2-1_50HQH_2018-07-10_final.stac-item
2018-07-30 11:31:34	ga_s2bm_ard_3-2-1_50HQJ_2018-07-30_final.stac-item
2018-09-30 12:13:16	ga_s2bm_ard_3-2-1_49KHQ_2018-09-30_final.stac-item
2018-10-11 11:41:47	ga_s2bm_ard_3-2-1_50HNK_2018-10-11_final.stac-item
2018-10-20 12:13:18	ga_s2bm_ard_3-2-1_49KGR_2018-10-20_final.stac-item
2018-12-19 12:14:51	ga_s2bm_ard_3-2-1_49JGM_2018-12-19_final.stac-item
2018-12-20 11:46:32	ga_s2bm_ard_3-2-1_50HNK_2018-12-20_final.stac-item
2018-12-27 11:36:49	ga_s2bm_ard_3-2-1_50HPJ_2018-12-27_final.stac-item
2019-01-02 11:56:23	ga_s2bm_ard_3-2-1_50JLL_2019-01-02_final.stac-item
2019-01-19 11:46:48	ga_s2bm_ard_3-2-1_50HPJ_2019-01-19_final.stac-item
2019-01-28 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2019-01-28_final.stac-item
2019-01-29 11:46:34	ga_s2bm_ard_3-2-1_50HPK_2019-01-29_final.stac-item
2019-01-29 11:46:43	ga_s2bm_ard_3-2-1_50HQJ_2019-01-29_final.stac-item
2019-02-01 11:56:30	ga_s2bm_ard_3-2-1_50HNK_2019-02-01_final.stac-item
2019-02-04 12:05:44	ga_s2bm_ard_3-2-1_49JGJ_2019-02-04_final.stac-item
2019-02-17 12:14:41	ga_s2bm_ard_3-2-1_49JGN_2019-02-17_final.stac-item
2019-02-18 11:46:29	ga_s2bm_ard_3-2-1_50HQK_2019-02-18_final.stac-item
2019-03-23 11:55:59	ga_s2bm_ard_3-2-1_50JKN_2019-03-23_final.stac-item
2019-03-26 12:05:56	ga_s2bm_ard_3-2-1_50JKN_2019-03-26_final.stac-item
2019-04-25 12:04:38	ga_s2bm_ard_3-2-1_49KGP_2019-04-25_final.stac-item
2019-06-14 12:04:38	ga_s2bm_ard_3-2-1_49KGP_2019-06-14_final.stac-item
2019-06-18 11:46:59	ga_s2bm_ard_3-2-1_50HNJ_2019-06-18_final.stac-item
2019-06-18 11:47:14	ga_s2bm_ard_3-2-1_50HNH_2019-06-18_final.stac-item
2019-07-24 12:04:54	ga_s2bm_ard_3-2-1_49JGN_2019-07-24_final.stac-item
2019-08-20 11:56:35	ga_s2bm_ard_3-2-1_50HNK_2019-08-20_final.stac-item
2019-08-24 11:36:39	ga_s2bm_ard_3-2-1_50HQK_2019-08-24_final.stac-item
2019-09-22 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2019-09-22_final.stac-item
2019-10-29 11:56:26	ga_s2bm_ard_3-2-1_50JLL_2019-10-29_final.stac-item
2019-11-28 11:57:02	ga_s2bm_ard_3-2-1_50HMH_2019-11-28_final.stac-item
2019-12-15 11:46:46	ga_s2bm_ard_3-2-1_50HNJ_2019-12-15_final.stac-item
2019-12-31 12:05:36	ga_s2bm_ard_3-2-1_50JKP_2019-12-31_final.stac-item
2020-02-02 12:14:20	ga_s2bm_ard_3-2-1_49KGP_2020-02-02_final.stac-item
2020-02-16 11:56:50	ga_s2bm_ard_3-2-1_50HLJ_2020-02-16_final.stac-item
2020-02-19 12:06:00	ga_s2bm_ard_3-2-1_50JLM_2020-02-19_final.stac-item
2020-03-07 11:57:03	ga_s2bm_ard_3-2-1_50HMH_2020-03-07_final.stac-item
2020-03-11 11:36:46	ga_s2bm_ard_3-2-1_50HQJ_2020-03-11_final.stac-item
2020-03-23 12:14:25	ga_s2bm_ard_3-2-1_49KGP_2020-03-23_final.stac-item
2020-04-03 11:46:27	ga_s2bm_ard_3-2-1_50HQK_2020-04-03_final.stac-item
2020-05-16 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2020-05-16_final.stac-item
2020-06-25 11:56:02	ga_s2bm_ard_3-2-1_50JKN_2020-06-25_final.stac-item
2020-06-25 11:56:28	ga_s2bm_ard_3-2-1_50JLL_2020-06-25_final.stac-item
2020-07-02 11:47:04	ga_s2bm_ard_3-2-1_50HPH_2020-07-02_final.stac-item
2020-07-11 12:14:08	ga_s2bm_ard_3-2-1_49KGQ_2020-07-11_final.stac-item
2020-08-17 12:04:53	ga_s2bm_ard_3-2-1_49JGN_2020-08-17_final.stac-item
2020-08-17 12:05:30	ga_s2bm_ard_3-2-1_50JKQ_2020-08-17_final.stac-item
2020-08-30 12:13:59	ga_s2bm_ard_3-2-1_49KHR_2020-08-30_final.stac-item
2020-11-15 12:04:29	ga_s2bm_ard_3-2-1_49KHP_2020-11-15_final.stac-item
2020-12-02 11:56:39	ga_s2bm_ard_3-2-1_50HLK_2020-12-02_final.stac-item
2020-12-05 12:05:28	ga_s2bm_ard_3-2-1_49JGK_2020-12-05_final.stac-item
2020-12-05 12:05:54	ga_s2bm_ard_3-2-1_50JKN_2020-12-05_final.stac-item
2020-12-22 11:56:51	ga_s2bm_ard_3-2-1_50HLJ_2020-12-22_final.stac-item
2020-12-28 12:14:10	ga_s2bm_ard_3-2-1_49KGQ_2020-12-28_final.stac-item
2021-01-01 11:55:58	ga_s2bm_ard_3-2-1_50JKN_2021-01-01_final.stac-item
2021-01-01 11:56:49	ga_s2bm_ard_3-2-1_50HMJ_2021-01-01_final.stac-item
2021-01-17 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2021-01-17_final.stac-item
2021-01-27 12:14:21	ga_s2bm_ard_3-2-1_49KHP_2021-01-27_final.stac-item
2021-03-05 12:05:25	ga_s2bm_ard_3-2-1_50JKQ_2021-03-05_final.stac-item
2021-03-15 12:05:55	ga_s2bm_ard_3-2-1_50JKN_2021-03-15_final.stac-item
2021-03-29 11:46:28	ga_s2bm_ard_3-2-1_50HQK_2021-03-29_final.stac-item
2021-04-17 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2021-04-17_final.stac-item
2021-04-24 12:05:46	ga_s2bm_ard_3-2-1_50JLN_2021-04-24_final.stac-item
2021-04-28 11:46:29	ga_s2bm_ard_3-2-1_50HPK_2021-04-28_final.stac-item
2021-06-23 12:05:15	ga_s2bm_ard_3-2-1_49JGL_2021-06-23_final.stac-item
2021-12-24 11:46:25	ga_s2bm_ard_3-2-1_50HQK_2021-12-24_final.stac-item
2021-12-30 12:05:25	ga_s2bm_ard_3-2-1_49JGK_2021-12-30_final.stac-item
2022-01-16 11:55:42	ga_s2bm_ard_3-2-1_50JKP_2022-01-16_final.stac-item
2022-01-23 11:46:32	ga_s2bm_ard_3-2-1_50HNK_2022-01-23_final.stac-item
2022-02-22 11:46:28	ga_s2bm_ard_3-2-1_50HPK_2022-02-22_final.stac-item
2022-08-17 12:05:29	ga_s2bm_ard_3-2-1_50JKQ_2022-08-17_final.stac-item
2022-11-08 12:14:11	ga_s2bm_ard_3-2-1_49KGQ_2022-11-08_final.stac-item
2022-11-15 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2022-11-15_final.stac-item
2022-12-22 11:56:25	ga_s2bm_ard_3-2-1_50JLL_2022-12-22_final.stac-item
2023-01-05 11:37:05	ga_s2bm_ard_3-2-1_50HPH_2023-01-05_final.stac-item
2023-02-27 11:46:56	ga_s2bm_ard_3-2-1_50HMJ_2023-02-27_final
2023-03-08 12:14:45	ga_s2bm_ard_3-2-1_49JGN_2023-03-08_final
2023-04-04 12:04:31	ga_s2bm_ard_3-2-1_49KGP_2023-04-04_final
2023-04-21 11:55:48	ga_s2bm_ard_3-2-1_50JKP_2023-04-21_final
2023-05-01 11:56:01	ga_s2bm_ard_3-2-1_50JKN_2023-05-01_final
2023-05-27 12:14:03	ga_s2bm_ard_3-2-1_49KGR_2023-05-27_final
2023-07-20 11:57:15	ga_s2bm_ard_3-2-1_50HLH_2023-07-20_final
2023-07-23 12:04:52	ga_s2bm_ard_3-2-1_49JGN_2023-07-23_final
2023-08-29 11:56:01	ga_s2bm_ard_3-2-1_50JLN_2023-08-29_final
2023-09-25 11:47:06	ga_s2bm_ard_3-2-1_50HPH_2023-09-25_final
2023-10-01 12:05:31	ga_s2bm_ard_3-2-1_49JGK_2023-10-01_final
2023-10-24 12:15:01	ga_s2bm_ard_3-2-1_49JFM_2023-10-24_final
2023-11-21 11:37:03	ga_s2bm_ard_3-2-1_50HPH_2023-11-21_final
2023-11-23 12:14:08	ga_s2bm_ard_3-2-1_49KGQ_2023-11-23_final
2023-12-30 12:05:30	ga_s2bm_ard_3-2-1_49JGK_2023-12-30_final
2024-03-02 12:13:37	ga_s2bm_ard_3-2-1_49KHS_2024-03-02_final
2024-03-22 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2024-03-22_final
2024-04-15 11:56:12	ga_s2bm_ard_3-2-1_50JLM_2024-04-15_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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