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
2017-07-04 11:59:31	ga_s2bm_ard_3-2-1_50JLT_2017-07-04_final.stac-item
2017-07-24 12:02:49	ga_s2bm_ard_3-2-1_49KHQ_2017-07-24_final.stac-item
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50HPJ_2017-08-27_final.stac-item
2017-10-12 12:02:35	ga_s2bm_ard_3-2-1_49KHR_2017-10-12_final.stac-item
2017-11-04 12:13:08	ga_s2bm_ard_3-2-1_49JGN_2017-11-04_final.stac-item
2017-11-05 11:37:39	ga_s2bm_ard_3-2-1_50HPJ_2017-11-05_final.stac-item
2017-11-15 11:40:36	ga_s2bm_ard_3-2-1_50JPL_2017-11-15_final.stac-item
2017-12-01 12:02:38	ga_s2bm_ard_3-2-1_49JGK_2017-12-01_final.stac-item
2018-01-07 11:56:02	ga_s2bm_ard_3-2-1_50HLH_2018-01-07_final.stac-item
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_50HQK_2018-01-11_final.stac-item
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50HQJ_2018-01-14_final.stac-item
2018-06-26 11:54:14	ga_s2bm_ard_3-2-1_50JLP_2018-06-26_final.stac-item
2018-08-21 12:13:39	ga_s2bm_ard_3-2-1_49JGN_2018-08-21_final.stac-item
2018-08-22 11:44:50	ga_s2bm_ard_3-2-1_50JML_2018-08-22_final.stac-item
2018-11-17 11:36:49	ga_s2bm_ard_3-2-1_50HPJ_2018-11-17_final.stac-item
2018-12-26 12:04:39	ga_s2bm_ard_3-2-1_50JKT_2018-12-26_final.stac-item
2018-12-26 12:04:57	ga_s2bm_ard_3-2-1_49JGM_2018-12-26_final.stac-item
2019-01-12 11:55:45	ga_s2bm_ard_3-2-1_50JKP_2019-01-12_final.stac-item
2019-01-18 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2019-01-18_final.stac-item
2019-02-04 12:04:28	ga_s2bm_ard_3-2-1_49KHP_2019-02-04_final.stac-item
2019-03-16 12:04:29	ga_s2bm_ard_3-2-1_49KGP_2019-03-16_final.stac-item
2019-06-24 12:05:23	ga_s2bm_ard_3-2-1_49JGL_2019-06-24_final.stac-item
2019-07-01 11:56:16	ga_s2bm_ard_3-2-1_50JMM_2019-07-01_final.stac-item
2019-07-14 12:06:04	ga_s2bm_ard_3-2-1_50JKN_2019-07-14_final.stac-item
2019-08-03 12:04:36	ga_s2bm_ard_3-2-1_49KHP_2019-08-03_final.stac-item
2019-09-12 12:04:47	ga_s2bm_ard_3-2-1_49JGN_2019-09-12_final.stac-item
2019-09-16 11:46:43	ga_s2bm_ard_3-2-1_50HQJ_2019-09-16_final.stac-item
2019-10-02 12:05:30	ga_s2bm_ard_3-2-1_49JGK_2019-10-02_final.stac-item
2019-10-19 11:55:57	ga_s2bm_ard_3-2-1_50JLN_2019-10-19_final.stac-item
2019-12-25 11:46:25	ga_s2bm_ard_3-2-1_50HQK_2019-12-25_final.stac-item
2020-01-20 12:04:25	ga_s2bm_ard_3-2-1_49KGP_2020-01-20_final.stac-item
2020-04-16 11:54:30	ga_s2bm_ard_3-2-1_50JNT_2020-04-16_final.stac-item
2020-04-26 11:55:08	ga_s2bm_ard_3-2-1_50JLR_2020-04-26_final.stac-item
2020-06-08 12:05:03	ga_s2bm_ard_3-2-1_49JGM_2020-06-08_final.stac-item
2020-07-12 11:46:39	ga_s2bm_ard_3-2-1_50HNK_2020-07-12_final.stac-item
2020-08-04 11:54:55	ga_s2bm_ard_3-2-1_50JNS_2020-08-04_final.stac-item
2020-08-14 11:56:54	ga_s2bm_ard_3-2-1_50HMJ_2020-08-14_final.stac-item
2020-08-14 11:57:13	ga_s2bm_ard_3-2-1_50HLH_2020-08-14_final.stac-item
2020-08-31 11:46:55	ga_s2bm_ard_3-2-1_50HNJ_2020-08-31_final.stac-item
2020-09-26 12:05:29	ga_s2bm_ard_3-2-1_50JKQ_2020-09-26_final.stac-item
2020-10-09 12:14:45	ga_s2bm_ard_3-2-1_49JGN_2020-10-09_final.stac-item
2020-10-16 12:05:55	ga_s2bm_ard_3-2-1_50JLN_2020-10-16_final.stac-item
2020-10-19 12:14:31	ga_s2bm_ard_3-2-1_49KGP_2020-10-19_final.stac-item
2020-11-12 11:56:22	ga_s2bm_ard_3-2-1_50JLL_2020-11-12_final.stac-item
2020-11-28 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2020-11-28_final.stac-item
2020-12-05 12:05:54	ga_s2bm_ard_3-2-1_50JKN_2020-12-05_final.stac-item
2021-02-07 11:45:49	ga_s2bm_ard_3-2-1_50JPN_2021-02-07_final.stac-item
2021-02-17 11:46:03	ga_s2bm_ard_3-2-1_50JPM_2021-02-17_final.stac-item
2021-02-27 11:46:36	ga_s2bm_ard_3-2-1_50HNK_2021-02-27_final.stac-item
2021-04-24 12:04:37	ga_s2bm_ard_3-2-1_50JKT_2021-04-24_final.stac-item
2021-04-28 11:46:38	ga_s2bm_ard_3-2-1_50HQJ_2021-04-28_final.stac-item
2021-06-23 12:04:57	ga_s2bm_ard_3-2-1_50JKS_2021-06-23_final.stac-item
2021-08-29 11:56:23	ga_s2bm_ard_3-2-1_50JLL_2021-08-29_final.stac-item
2021-09-18 11:56:14	ga_s2bm_ard_3-2-1_50JNL_2021-09-18_final.stac-item
2021-10-01 12:04:39	ga_s2bm_ard_3-2-1_50JLT_2021-10-01_final.stac-item
2021-10-08 11:57:21	ga_s2bm_ard_3-2-1_50HMG_2021-10-08_final
2021-10-28 11:56:12	ga_s2bm_ard_3-2-1_50JLM_2021-10-28_final.stac-item
2021-11-04 11:46:20	ga_s2bm_ard_3-2-1_50JPL_2021-11-04_final.stac-item
2021-11-21 11:37:04	ga_s2bm_ard_3-2-1_50HPH_2021-11-21_final.stac-item
2021-12-21 11:37:16	ga_s2bm_ard_3-2-1_50HPG_2021-12-21_final
2021-12-27 11:56:03	ga_s2bm_ard_3-2-1_50JMM_2021-12-27_final.stac-item
2021-12-27 11:56:21	ga_s2bm_ard_3-2-1_50JLL_2021-12-27_final.stac-item
2022-01-19 12:05:47	ga_s2bm_ard_3-2-1_50JLN_2022-01-19_final.stac-item
2022-01-20 11:36:33	ga_s2bm_ard_3-2-1_50HPK_2022-01-20_final.stac-item
2022-02-05 11:56:24	ga_s2bm_ard_3-2-1_50HNK_2022-02-05_final.stac-item
2022-03-10 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2022-03-10_final.stac-item
2022-03-17 11:55:44	ga_s2bm_ard_3-2-1_50JKP_2022-03-17_final.stac-item
2022-06-01 12:14:59	ga_s2bm_ard_3-2-1_49JFM_2022-06-01_final.stac-item
2022-07-11 12:14:31	ga_s2bm_ard_3-2-1_49KGP_2022-07-11_final.stac-item
2022-07-12 11:46:47	ga_s2bm_ard_3-2-1_50HQJ_2022-07-12_final.stac-item
2022-07-18 12:04:32	ga_s2bm_ard_3-2-1_49KHP_2022-07-18_final.stac-item
2022-08-04 11:55:54	ga_s2bm_ard_3-2-1_50JNN_2022-08-04_final.stac-item
2022-08-14 11:55:59	ga_s2bm_ard_3-2-1_50JLN_2022-08-14_final.stac-item
2022-10-13 11:56:17	ga_s2bm_ard_3-2-1_50JNL_2022-10-13_final.stac-item
2022-10-16 12:04:37	ga_s2bm_ard_3-2-1_50JLT_2022-10-16_final.stac-item
2022-11-15 12:04:31	ga_s2bm_ard_3-2-1_49KGP_2022-11-15_final.stac-item
2023-01-18 11:46:27	ga_s2bm_ard_3-2-1_50HQK_2023-01-18_final.stac-item
2023-03-08 12:15:00	ga_s2bm_ard_3-2-1_49JGM_2023-03-08_final
2023-03-08 12:15:03	ga_s2bm_ard_3-2-1_49JFM_2023-03-08_final
2023-03-29 11:46:29	ga_s2bm_ard_3-2-1_50JML_2023-03-29_final
2023-04-27 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2023-04-27_final
2023-04-28 11:46:39	ga_s2bm_ard_3-2-1_50HNK_2023-04-28_final
2023-06-03 12:05:19	ga_s2bm_ard_3-2-1_49JGL_2023-06-03_final
2023-07-24 11:37:09	ga_s2bm_ard_3-2-1_50HQH_2023-07-24_final
2023-07-30 11:57:15	ga_s2bm_ard_3-2-1_50HLH_2023-07-30_final
2023-10-08 11:55:56	ga_s2bm_ard_3-2-1_50JLN_2023-10-08_final
2023-10-08 11:56:01	ga_s2bm_ard_3-2-1_50JMN_2023-10-08_final
2023-10-28 11:56:31	ga_s2bm_ard_3-2-1_50HNK_2023-10-28_final
2023-11-17 11:57:18	ga_s2bm_ard_3-2-1_50HMG_2023-11-17_final
2023-12-01 11:37:00	ga_s2bm_ard_3-2-1_50HQH_2023-12-01_final
2023-12-23 12:13:59	ga_s2bm_ard_3-2-1_49KGR_2023-12-23_final
2024-01-16 11:57:13	ga_s2bm_ard_3-2-1_50HLH_2024-01-16_final
2024-01-19 12:04:30	ga_s2bm_ard_3-2-1_49KGP_2024-01-19_final
2024-02-08 12:04:31	ga_s2bm_ard_3-2-1_49KGP_2024-02-08_final
2024-03-23 11:47:15	ga_s2bm_ard_3-2-1_50HLH_2024-03-23_final
2024-03-26 11:57:19	ga_s2bm_ard_3-2-1_50HMG_2024-03-26_final
2024-03-29 12:05:44	ga_s2bm_ard_3-2-1_49JGJ_2024-03-29_final
2024-04-28 12:05:28	ga_s2bm_ard_3-2-1_49JGK_2024-04-28_final
2024-05-09 11:37:28	ga_s2bm_ard_3-2-1_50HNG_2024-05-09_final
2024-05-11 12:13:59	ga_s2bm_ard_3-2-1_49KGR_2024-05-11_interim

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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