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_50HMH_2017-08-27_final.stac-item
2017-10-05 12:13:31	ga_s2bm_ard_3-2-1_49JGL_2017-10-05_final.stac-item
2017-10-19 11:51:53	ga_s2bm_ard_3-2-1_50JLL_2017-10-19_final.stac-item
2017-11-08 11:53:07	ga_s2bm_ard_3-2-1_50HMH_2017-11-08_final.stac-item
2017-12-08 11:49:07	ga_s2bm_ard_3-2-1_50HLK_2017-12-08_final.stac-item
2017-12-08 11:49:07	ga_s2bm_ard_3-2-1_50HMK_2017-12-08_final.stac-item
2017-12-14 12:13:09	ga_s2bm_ard_3-2-1_49KGQ_2017-12-14_final.stac-item
2017-12-21 12:02:37	ga_s2bm_ard_3-2-1_50JLM_2017-12-21_final.stac-item
2017-12-31 12:02:39	ga_s2bm_ard_3-2-1_49KGQ_2017-12-31_final.stac-item
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50HLH_2018-01-14_final.stac-item
2018-01-23 12:13:14	ga_s2bm_ard_3-2-1_49JFM_2018-01-23_final.stac-item
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_50JLN_2018-03-11_final.stac-item
2018-06-16 11:51:10	ga_s2bm_ard_3-2-1_50HLJ_2018-06-16_final.stac-item
2018-06-16 11:51:10	ga_s2bm_ard_3-2-1_50JLL_2018-06-16_final.stac-item
2018-06-19 12:02:48	ga_s2bm_ard_3-2-1_49KGQ_2018-06-19_final.stac-item
2018-08-18 12:03:23	ga_s2bm_ard_3-2-1_49KHQ_2018-08-18_final.stac-item
2018-08-18 12:03:23	ga_s2bm_ard_3-2-1_50JLM_2018-08-18_final.stac-item
2018-08-25 11:52:52	ga_s2bm_ard_3-2-1_50HMJ_2018-08-25_final.stac-item
2018-09-24 11:52:42	ga_s2bm_ard_3-2-1_50HMJ_2018-09-24_final.stac-item
2018-10-07 12:04:33	ga_s2bm_ard_3-2-1_49JHM_2018-10-07_final.stac-item
2018-10-07 12:04:33	ga_s2bm_ard_3-2-1_50JKR_2018-10-07_final.stac-item
2018-11-06 12:04:25	ga_s2bm_ard_3-2-1_49KHP_2018-11-06_final.stac-item
2018-11-10 11:46:53	ga_s2bm_ard_3-2-1_50HMJ_2018-11-10_final.stac-item
2018-12-03 11:55:55	ga_s2bm_ard_3-2-1_50JKN_2018-12-03_final.stac-item
2019-02-21 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2019-02-21_final.stac-item
2019-03-13 11:56:23	ga_s2bm_ard_3-2-1_50JLL_2019-03-13_final.stac-item
2019-03-16 12:04:55	ga_s2bm_ard_3-2-1_50JKS_2019-03-16_final.stac-item
2019-03-23 11:56:51	ga_s2bm_ard_3-2-1_50HMJ_2019-03-23_final.stac-item
2019-04-15 12:04:23	ga_s2bm_ard_3-2-1_49KGQ_2019-04-15_final.stac-item
2019-05-05 12:05:37	ga_s2bm_ard_3-2-1_49JGK_2019-05-05_final.stac-item
2019-05-12 11:57:18	ga_s2bm_ard_3-2-1_50HLH_2019-05-12_final.stac-item
2019-05-29 11:47:04	ga_s2bm_ard_3-2-1_50HMJ_2019-05-29_final.stac-item
2019-06-04 12:04:54	ga_s2bm_ard_3-2-1_49JGN_2019-06-04_final.stac-item
2019-06-18 11:46:48	ga_s2bm_ard_3-2-1_50HMK_2019-06-18_final.stac-item
2019-09-29 11:57:09	ga_s2bm_ard_3-2-1_50HLH_2019-09-29_final.stac-item
2019-10-12 12:04:15	ga_s2bm_ard_3-2-1_49KHQ_2019-10-12_final.stac-item
2019-10-19 11:57:07	ga_s2bm_ard_3-2-1_50HMH_2019-10-19_final.stac-item
2019-11-08 11:56:25	ga_s2bm_ard_3-2-1_50JLL_2019-11-08_final.stac-item
2019-12-15 11:46:35	ga_s2bm_ard_3-2-1_50HMK_2019-12-15_final.stac-item
2019-12-21 12:04:13	ga_s2bm_ard_3-2-1_49KGQ_2019-12-21_final.stac-item
2020-02-12 12:14:16	ga_s2bm_ard_3-2-1_49KHP_2020-02-12_final.stac-item
2020-02-13 11:46:47	ga_s2bm_ard_3-2-1_50HNJ_2020-02-13_final.stac-item
2020-03-11 11:36:36	ga_s2bm_ard_3-2-1_50HPK_2020-03-11_final.stac-item
2020-05-16 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2020-05-16_final.stac-item
2020-05-19 12:04:13	ga_s2bm_ard_3-2-1_49KHQ_2020-05-19_final.stac-item
2020-05-29 12:04:15	ga_s2bm_ard_3-2-1_49KHQ_2020-05-29_final.stac-item
2020-07-25 11:55:49	ga_s2bm_ard_3-2-1_50JKP_2020-07-25_final.stac-item
2020-08-01 11:47:13	ga_s2bm_ard_3-2-1_50HMH_2020-08-01_final.stac-item
2020-10-16 12:04:24	ga_s2bm_ard_3-2-1_49KHQ_2020-10-16_final.stac-item
2020-12-28 12:14:19	ga_s2bm_ard_3-2-1_49KHP_2020-12-28_final.stac-item
2021-01-05 11:36:33	ga_s2bm_ard_3-2-1_50HQK_2021-01-05_final.stac-item
2021-03-08 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2021-03-08_final.stac-item
2021-03-19 11:46:55	ga_s2bm_ard_3-2-1_50HMJ_2021-03-19_final.stac-item
2021-06-07 11:46:42	ga_s2bm_ard_3-2-1_50HMK_2021-06-07_final.stac-item
2021-06-13 12:04:58	ga_s2bm_ard_3-2-1_50JKS_2021-06-13_final.stac-item
2021-08-12 12:04:58	ga_s2bm_ard_3-2-1_50JKS_2021-08-12_final.stac-item
2021-08-12 12:06:05	ga_s2bm_ard_3-2-1_50JLM_2021-08-12_final.stac-item
2021-11-07 11:56:37	ga_s2bm_ard_3-2-1_50HMK_2021-11-07_final.stac-item
2021-11-27 11:55:37	ga_s2bm_ard_3-2-1_50JLP_2021-11-27_final.stac-item
2021-12-31 11:36:27	ga_s2bm_ard_3-2-1_50HPK_2021-12-31_final.stac-item
2022-02-15 11:56:59	ga_s2bm_ard_3-2-1_50HMH_2022-02-15_final.stac-item
2022-02-22 11:47:09	ga_s2bm_ard_3-2-1_50HLH_2022-02-22_final.stac-item
2022-03-03 12:13:57	ga_s2bm_ard_3-2-1_49KGR_2022-03-03_final.stac-item
2022-03-07 11:57:03	ga_s2bm_ard_3-2-1_50HMH_2022-03-07_final.stac-item
2022-05-09 12:06:01	ga_s2bm_ard_3-2-1_50JLM_2022-05-09_final.stac-item
2022-05-16 11:56:25	ga_s2bm_ard_3-2-1_50JLL_2022-05-16_final.stac-item
2022-06-25 11:56:41	ga_s2bm_ard_3-2-1_50HMK_2022-06-25_final.stac-item
2022-06-28 12:05:02	ga_s2bm_ard_3-2-1_49JHM_2022-06-28_final.stac-item
2022-07-12 11:46:34	ga_s2bm_ard_3-2-1_50HQK_2022-07-12_final.stac-item
2022-08-27 12:04:48	ga_s2bm_ard_3-2-1_49JGN_2022-08-27_final.stac-item
2022-09-16 12:04:59	ga_s2bm_ard_3-2-1_50JKS_2022-09-16_final.stac-item
2022-09-26 12:04:58	ga_s2bm_ard_3-2-1_50JKS_2022-09-26_final.stac-item
2022-11-12 11:56:19	ga_s2bm_ard_3-2-1_50JLM_2022-11-12_final.stac-item
2022-12-22 11:55:41	ga_s2bm_ard_3-2-1_50JLP_2022-12-22_final.stac-item
2022-12-26 11:36:33	ga_s2bm_ard_3-2-1_50HQK_2022-12-26_final.stac-item
2023-02-03 12:05:23	ga_s2bm_ard_3-2-1_50JKQ_2023-02-03_final.stac-item
2023-04-04 12:04:36	ga_s2bm_ard_3-2-1_49KHP_2023-04-04_final
2023-04-08 11:47:30	ga_s2bm_ard_3-2-1_50HLG_2023-04-08_final
2023-05-08 11:47:23	ga_s2bm_ard_3-2-1_50HNG_2023-05-08_final
2023-05-14 12:04:21	ga_s2bm_ard_3-2-1_49KGQ_2023-05-14_final
2023-07-13 12:05:01	ga_s2bm_ard_3-2-1_49JHM_2023-07-13_final
2023-07-13 12:05:34	ga_s2bm_ard_3-2-1_49JGK_2023-07-13_final
2023-08-12 12:05:32	ga_s2bm_ard_3-2-1_50JKQ_2023-08-12_final
2023-08-19 11:56:16	ga_s2bm_ard_3-2-1_50JLM_2023-08-19_final
2023-08-19 11:56:19	ga_s2bm_ard_3-2-1_50JKM_2023-08-19_final
2023-09-01 12:05:33	ga_s2bm_ard_3-2-1_50JKQ_2023-09-01_final
2023-09-08 11:56:34	ga_s2bm_ard_3-2-1_50HNK_2023-09-08_final
2023-10-08 11:57:07	ga_s2bm_ard_3-2-1_50HMH_2023-10-08_final
2023-10-11 12:04:15	ga_s2bm_ard_3-2-1_49KHQ_2023-10-11_final
2023-10-11 12:04:59	ga_s2bm_ard_3-2-1_50JKS_2023-10-11_final
2023-10-28 11:56:27	ga_s2bm_ard_3-2-1_50JLL_2023-10-28_final
2023-11-04 11:47:29	ga_s2bm_ard_3-2-1_50HLG_2023-11-04_final
2023-11-07 11:56:28	ga_s2bm_ard_3-2-1_50JLL_2023-11-07_final
2023-11-10 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2023-11-10_final
2024-02-18 12:04:14	ga_s2bm_ard_3-2-1_49KHQ_2024-02-18_final
2024-02-28 12:05:25	ga_s2bm_ard_3-2-1_50JKQ_2024-02-28_final
2024-03-06 11:56:46	ga_s2bm_ard_3-2-1_50HMJ_2024-03-06_final
2024-03-09 12:05:21	ga_s2bm_ard_3-2-1_50JKQ_2024-03-09_final
2024-03-16 11:56:24	ga_s2bm_ard_3-2-1_50JLL_2024-03-16_final
2024-03-29 12:04:13	ga_s2bm_ard_3-2-1_49KHQ_2024-03-29_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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