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_49JGL_2017-07-14_final.stac-item
2017-08-23 12:04:38	ga_s2bm_ard_3-2-1_50JKQ_2017-08-23_final.stac-item
2017-11-05 11:37:39	ga_s2bm_ard_3-2-1_50HNK_2017-11-05_final.stac-item
2017-11-05 11:37:39	ga_s2bm_ard_3-2-1_50HPH_2017-11-05_final.stac-item
2017-11-22 11:35:56	ga_s2bm_ard_3-2-1_50HPJ_2017-11-22_final.stac-item
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_50HNH_2017-11-25_final.stac-item
2017-12-21 12:02:37	ga_s2bm_ard_3-2-1_50JLN_2017-12-21_final.stac-item
2017-12-25 11:46:02	ga_s2bm_ard_3-2-1_50HLH_2017-12-25_final.stac-item
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_50HPJ_2018-01-04_final.stac-item
2018-02-09 12:02:42	ga_s2bm_ard_3-2-1_49KGQ_2018-02-09_final.stac-item
2018-02-16 11:54:55	ga_s2bm_ard_3-2-1_50JLP_2018-02-16_final.stac-item
2018-03-14 12:13:13	ga_s2bm_ard_3-2-1_49KGP_2018-03-14_final.stac-item
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_49KHP_2018-04-10_final.stac-item
2018-06-16 11:51:10	ga_s2bm_ard_3-2-1_50JML_2018-06-16_final.stac-item
2018-06-22 12:14:14	ga_s2bm_ard_3-2-1_49JGM_2018-06-22_final.stac-item
2018-07-06 11:51:46	ga_s2bm_ard_3-2-1_50JLN_2018-07-06_final.stac-item
2018-08-11 12:13:16	ga_s2bm_ard_3-2-1_49KHR_2018-08-11_final.stac-item
2018-08-25 11:52:52	ga_s2bm_ard_3-2-1_50HMJ_2018-08-25_final.stac-item
2018-12-10 11:47:00	ga_s2bm_ard_3-2-1_50HNH_2018-12-10_final.stac-item
2018-12-20 11:46:29	ga_s2bm_ard_3-2-1_50HPK_2018-12-20_final.stac-item
2018-12-29 12:13:55	ga_s2bm_ard_3-2-1_49KGR_2018-12-29_final.stac-item
2019-01-09 11:46:47	ga_s2bm_ard_3-2-1_50HPJ_2019-01-09_final.stac-item
2019-01-29 11:47:14	ga_s2bm_ard_3-2-1_50HLH_2019-01-29_final.stac-item
2019-02-01 11:56:22	ga_s2bm_ard_3-2-1_50JML_2019-02-01_final.stac-item
2019-02-04 12:05:38	ga_s2bm_ard_3-2-1_50JLP_2019-02-04_final.stac-item
2019-02-14 12:05:37	ga_s2bm_ard_3-2-1_50JLP_2019-02-14_final.stac-item
2019-03-03 11:56:09	ga_s2bm_ard_3-2-1_50JLM_2019-03-03_final.stac-item
2019-03-26 12:04:19	ga_s2bm_ard_3-2-1_49KGQ_2019-03-26_final.stac-item
2019-05-22 11:56:49	ga_s2bm_ard_3-2-1_50HLK_2019-05-22_final.stac-item
2019-06-05 11:37:15	ga_s2bm_ard_3-2-1_50HPH_2019-06-05_final.stac-item
2019-06-17 12:15:18	ga_s2bm_ard_3-2-1_49JGL_2019-06-17_final.stac-item
2019-08-10 11:57:02	ga_s2bm_ard_3-2-1_50HLJ_2019-08-10_final.stac-item
2019-09-23 11:36:51	ga_s2bm_ard_3-2-1_50HPJ_2019-09-23_final.stac-item
2019-09-29 11:57:09	ga_s2bm_ard_3-2-1_50HLH_2019-09-29_final.stac-item
2019-10-19 11:57:10	ga_s2bm_ard_3-2-1_50HLH_2019-10-19_final.stac-item
2019-10-29 11:56:52	ga_s2bm_ard_3-2-1_50HMJ_2019-10-29_final.stac-item
2019-11-01 12:04:43	ga_s2bm_ard_3-2-1_49JHN_2019-11-01_final.stac-item
2019-11-05 11:46:43	ga_s2bm_ard_3-2-1_50HQJ_2019-11-05_final.stac-item
2019-11-08 11:55:12	ga_s2bm_ard_3-2-1_50JLR_2019-11-08_final.stac-item
2019-11-28 11:55:38	ga_s2bm_ard_3-2-1_50JLP_2019-11-28_final.stac-item
2019-12-28 11:56:35	ga_s2bm_ard_3-2-1_50HLK_2019-12-28_final.stac-item
2020-01-10 12:05:32	ga_s2bm_ard_3-2-1_50JLP_2020-01-10_final.stac-item
2020-02-29 12:05:35	ga_s2bm_ard_3-2-1_50JLP_2020-02-29_final.stac-item
2020-03-20 12:04:55	ga_s2bm_ard_3-2-1_49JHM_2020-03-20_final.stac-item
2020-05-03 11:46:48	ga_s2bm_ard_3-2-1_50HNJ_2020-05-03_final.stac-item
2020-05-09 12:04:37	ga_s2bm_ard_3-2-1_50JLT_2020-05-09_final.stac-item
2020-06-09 11:36:54	ga_s2bm_ard_3-2-1_50HPJ_2020-06-09_final.stac-item
2020-08-27 12:05:41	ga_s2bm_ard_3-2-1_50JLP_2020-08-27_final.stac-item
2020-09-06 12:04:09	ga_s2bm_ard_3-2-1_49KHR_2020-09-06_final.stac-item
2020-09-10 11:47:17	ga_s2bm_ard_3-2-1_50HLH_2020-09-10_final.stac-item
2020-09-13 11:56:24	ga_s2bm_ard_3-2-1_50JML_2020-09-13_final.stac-item
2020-10-16 12:04:51	ga_s2bm_ard_3-2-1_50JKT_2020-10-16_final.stac-item
2020-10-23 11:56:26	ga_s2bm_ard_3-2-1_50JML_2020-10-23_final.stac-item
2020-11-05 12:05:40	ga_s2bm_ard_3-2-1_50JLP_2020-11-05_final.stac-item
2020-11-22 11:56:08	ga_s2bm_ard_3-2-1_50JMM_2020-11-22_final.stac-item
2020-12-05 12:04:44	ga_s2bm_ard_3-2-1_49JGN_2020-12-05_final.stac-item
2021-01-05 11:37:04	ga_s2bm_ard_3-2-1_50HQH_2021-01-05_final.stac-item
2021-01-07 12:13:57	ga_s2bm_ard_3-2-1_49KGR_2021-01-07_final.stac-item
2021-01-18 11:47:06	ga_s2bm_ard_3-2-1_50HNH_2021-01-18_final.stac-item
2021-01-21 11:55:27	ga_s2bm_ard_3-2-1_50JLQ_2021-01-21_final.stac-item
2021-02-23 12:05:36	ga_s2bm_ard_3-2-1_50JLP_2021-02-23_final.stac-item
2021-04-04 12:05:35	ga_s2bm_ard_3-2-1_50JLP_2021-04-04_final.stac-item
2021-04-24 12:05:32	ga_s2bm_ard_3-2-1_50JLP_2021-04-24_final.stac-item
2021-06-03 12:05:13	ga_s2bm_ard_3-2-1_50JKR_2021-06-03_final.stac-item
2021-06-26 12:14:13	ga_s2bm_ard_3-2-1_49KGQ_2021-06-26_final.stac-item
2021-07-03 12:05:39	ga_s2bm_ard_3-2-1_50JLP_2021-07-03_final.stac-item
2021-09-28 11:55:45	ga_s2bm_ard_3-2-1_50JKP_2021-09-28_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 11:47:05	ga_s2bm_ard_3-2-1_50HPH_2021-12-04_final.stac-item
2022-01-06 11:56:47	ga_s2bm_ard_3-2-1_50HMJ_2022-01-06_final.stac-item
2022-03-14 11:46:32	ga_s2bm_ard_3-2-1_50HPK_2022-03-14_final.stac-item
2022-03-17 11:56:06	ga_s2bm_ard_3-2-1_50JMM_2022-03-17_final.stac-item
2022-03-20 12:05:35	ga_s2bm_ard_3-2-1_50JLP_2022-03-20_final.stac-item
2022-05-29 12:05:38	ga_s2bm_ard_3-2-1_50JLP_2022-05-29_final.stac-item
2022-06-05 11:56:55	ga_s2bm_ard_3-2-1_50HLJ_2022-06-05_final.stac-item
2022-06-11 12:14:11	ga_s2bm_ard_3-2-1_49KHQ_2022-06-11_final.stac-item
2022-08-31 11:46:56	ga_s2bm_ard_3-2-1_50HMJ_2022-08-31_final.stac-item
2022-09-16 12:05:14	ga_s2bm_ard_3-2-1_50JKR_2022-09-16_final.stac-item
2022-09-23 11:57:07	ga_s2bm_ard_3-2-1_50HMH_2022-09-23_final.stac-item
2022-10-13 11:55:41	ga_s2bm_ard_3-2-1_50JLP_2022-10-13_final.stac-item
2022-10-13 11:55:55	ga_s2bm_ard_3-2-1_50JLN_2022-10-13_final.stac-item
2022-11-29 11:46:32	ga_s2bm_ard_3-2-1_50HPK_2022-11-29_final.stac-item
2022-12-12 11:56:11	ga_s2bm_ard_3-2-1_50JKM_2022-12-12_final.stac-item
2022-12-12 11:56:48	ga_s2bm_ard_3-2-1_50HMJ_2022-12-12_final.stac-item
2022-12-19 11:46:11	ga_s2bm_ard_3-2-1_50JMM_2022-12-19_final.stac-item
2023-01-24 12:04:44	ga_s2bm_ard_3-2-1_49JGN_2023-01-24_final.stac-item
2023-01-28 11:47:07	ga_s2bm_ard_3-2-1_50HMH_2023-01-28_final.stac-item
2023-04-21 11:55:44	ga_s2bm_ard_3-2-1_50JLP_2023-04-21_final
2023-04-25 11:36:40	ga_s2bm_ard_3-2-1_50HPK_2023-04-25_final
2023-05-08 11:47:19	ga_s2bm_ard_3-2-1_50HPG_2023-05-08_final
2023-05-18 11:47:11	ga_s2bm_ard_3-2-1_50HNH_2023-05-18_final
2023-06-04 11:37:25	ga_s2bm_ard_3-2-1_50HPG_2023-06-04_final
2023-09-11 12:05:41	ga_s2bm_ard_3-2-1_50JLP_2023-09-11_final
2023-09-24 12:13:58	ga_s2bm_ard_3-2-1_49KHR_2023-09-24_final
2023-10-08 11:57:23	ga_s2bm_ard_3-2-1_50HLG_2023-10-08_final
2023-10-11 12:04:20	ga_s2bm_ard_3-2-1_49KGQ_2023-10-11_final
2023-12-14 11:46:39	ga_s2bm_ard_3-2-1_50HMK_2023-12-14_final
2024-02-15 11:57:07	ga_s2bm_ard_3-2-1_50HMH_2024-02-15_final
2024-03-16 11:56:24	ga_s2bm_ard_3-2-1_50JLL_2024-03-16_final
2024-03-20 11:36:52	ga_s2bm_ard_3-2-1_50HPJ_2024-03-20_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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