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
2017-07-01 11:56:07	ga_s2bm_ard_3-2-1_50JMM_2017-07-01_final.stac-item
2017-07-25 11:34:58	ga_s2bm_ard_3-2-1_50HQJ_2017-07-25_final.stac-item
2017-07-31 11:49:45	ga_s2bm_ard_3-2-1_50JKP_2017-07-31_final.stac-item
2017-08-20 11:49:42	ga_s2bm_ard_3-2-1_50KMA_2017-08-20_final.stac-item
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50HPJ_2017-08-27_final.stac-item
2017-10-06 11:40:29	ga_s2bm_ard_3-2-1_50HPH_2017-10-06_final.stac-item
2017-11-15 11:46:01	ga_s2bm_ard_3-2-1_50HPH_2017-11-15_final.stac-item
2017-11-18 11:49:07	ga_s2bm_ard_3-2-1_50HMK_2017-11-18_final.stac-item
2017-12-12 11:35:52	ga_s2bm_ard_3-2-1_50HPH_2017-12-12_final.stac-item
2017-12-31 12:02:39	ga_s2bm_ard_3-2-1_50JLM_2017-12-31_final.stac-item
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_50JQQ_2018-01-04_final.stac-item
2018-01-10 12:02:41	ga_s2bm_ard_3-2-1_50JKT_2018-01-10_final.stac-item
2018-01-14 11:40:41	ga_s2bm_ard_3-2-1_50JQQ_2018-01-14_final.stac-item
2018-01-27 11:50:39	ga_s2bm_ard_3-2-1_50KPC_2018-01-27_final.stac-item
2018-03-14 12:13:13	ga_s2bm_ard_3-2-1_49JGL_2018-03-14_final.stac-item
2018-06-12 12:13:19	ga_s2bm_ard_3-2-1_49KHR_2018-06-12_final.stac-item
2018-06-22 12:14:14	ga_s2bm_ard_3-2-1_49KGP_2018-06-22_final.stac-item
2018-07-26 11:52:57	ga_s2bm_ard_3-2-1_50KNU_2018-07-26_final.stac-item
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50HLH_2018-08-05_final.stac-item
2018-09-07 12:02:58	ga_s2bm_ard_3-2-1_50JLP_2018-09-07_final.stac-item
2018-11-06 12:04:22	ga_s2bm_ard_3-2-1_50KLU_2018-11-06_final.stac-item
2018-11-23 11:56:08	ga_s2bm_ard_3-2-1_50JLM_2018-11-23_final.stac-item
2018-11-27 11:36:48	ga_s2bm_ard_3-2-1_50HPJ_2018-11-27_final.stac-item
2018-12-10 11:46:37	ga_s2bm_ard_3-2-1_50HQJ_2018-12-10_final.stac-item
2019-01-15 12:03:19	ga_s2bm_ard_3-2-1_50KNC_2019-01-15_final.stac-item
2019-01-22 11:56:55	ga_s2bm_ard_3-2-1_50HLJ_2019-01-22_final.stac-item
2019-02-14 12:03:41	ga_s2bm_ard_3-2-1_50KLB_2019-02-14_final.stac-item
2019-02-14 12:05:29	ga_s2bm_ard_3-2-1_49JGK_2019-02-14_final.stac-item
2019-03-03 11:53:22	ga_s2bm_ard_3-2-1_50KNC_2019-03-03_final.stac-item
2019-03-06 12:04:19	ga_s2bm_ard_3-2-1_50KMU_2019-03-06_final.stac-item
2019-03-13 11:54:34	ga_s2bm_ard_3-2-1_50JNT_2019-03-13_final.stac-item
2019-03-20 11:45:46	ga_s2bm_ard_3-2-1_50JQN_2019-03-20_final.stac-item
2019-07-21 11:56:27	ga_s2bm_ard_3-2-1_50JNL_2019-07-21_final.stac-item
2019-08-07 11:46:59	ga_s2bm_ard_3-2-1_50HNJ_2019-08-07_final.stac-item
2019-08-13 12:06:11	ga_s2bm_ard_3-2-1_50JLM_2019-08-13_final.stac-item
2019-08-23 12:05:06	ga_s2bm_ard_3-2-1_49JGM_2019-08-23_final.stac-item
2019-09-12 12:03:21	ga_s2bm_ard_3-2-1_50KNC_2019-09-12_final.stac-item
2019-09-26 11:46:48	ga_s2bm_ard_3-2-1_50HPJ_2019-09-26_final.stac-item
2020-01-10 12:05:38	ga_s2bm_ard_3-2-1_49JGJ_2020-01-10_final.stac-item
2020-01-13 12:14:03	ga_s2bm_ard_3-2-1_49KHQ_2020-01-13_final.stac-item
2020-01-13 12:14:21	ga_s2bm_ard_3-2-1_49KGP_2020-01-13_final.stac-item
2020-01-13 12:14:36	ga_s2bm_ard_3-2-1_49JGN_2020-01-13_final.stac-item
2020-02-23 11:46:16	ga_s2bm_ard_3-2-1_50JPL_2020-02-23_final.stac-item
2020-05-13 11:45:45	ga_s2bm_ard_3-2-1_50JQN_2020-05-13_final.stac-item
2020-05-16 11:53:17	ga_s2bm_ard_3-2-1_50KQC_2020-05-16_final.stac-item
2020-07-08 12:03:25	ga_s2bm_ard_3-2-1_50KMC_2020-07-08_final.stac-item
2020-07-08 12:04:01	ga_s2bm_ard_3-2-1_50KKA_2020-07-08_final.stac-item
2020-08-14 11:53:24	ga_s2bm_ard_3-2-1_50KPC_2020-08-14_final.stac-item
2020-08-14 11:56:26	ga_s2bm_ard_3-2-1_50JML_2020-08-14_final.stac-item
2020-10-13 11:56:29	ga_s2bm_ard_3-2-1_50JLL_2020-10-13_final.stac-item
2020-11-18 12:15:11	ga_s2bm_ard_3-2-1_49JGL_2020-11-18_final.stac-item
2020-11-22 11:53:21	ga_s2bm_ard_3-2-1_50KPC_2020-11-22_final.stac-item
2020-11-22 11:56:11	ga_s2bm_ard_3-2-1_50JLM_2020-11-22_final.stac-item
2020-11-28 12:13:54	ga_s2bm_ard_3-2-1_50KKA_2020-11-28_final.stac-item
2020-12-02 11:55:59	ga_s2bm_ard_3-2-1_50JKN_2020-12-02_final.stac-item
2020-12-08 12:13:52	ga_s2bm_ard_3-2-1_50KKA_2020-12-08_final.stac-item
2020-12-16 11:36:48	ga_s2bm_ard_3-2-1_50HPJ_2020-12-16_final.stac-item
2020-12-18 12:13:54	ga_s2bm_ard_3-2-1_49KHR_2020-12-18_final.stac-item
2021-02-10 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2021-02-10_final.stac-item
2021-02-27 11:46:28	ga_s2bm_ard_3-2-1_50HQK_2021-02-27_final.stac-item
2021-03-02 11:56:39	ga_s2bm_ard_3-2-1_50HLK_2021-03-02_final.stac-item
2021-03-09 11:44:37	ga_s2bm_ard_3-2-1_50JPT_2021-03-09_final.stac-item
2021-03-26 11:36:47	ga_s2bm_ard_3-2-1_50HQJ_2021-03-26_final.stac-item
2021-04-28 11:46:43	ga_s2bm_ard_3-2-1_50HPJ_2021-04-28_final.stac-item
2021-05-31 11:55:54	ga_s2bm_ard_3-2-1_50JMN_2021-05-31_final.stac-item
2021-06-26 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2021-06-26_final.stac-item
2021-07-07 11:46:42	ga_s2bm_ard_3-2-1_50HMK_2021-07-07_final.stac-item
2021-07-27 11:45:05	ga_s2bm_ard_3-2-1_50JQR_2021-07-27_final.stac-item
2021-08-16 11:46:23	ga_s2bm_ard_3-2-1_50JNL_2021-08-16_final.stac-item
2021-10-31 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2021-10-31_final.stac-item
2021-12-27 11:55:52	ga_s2bm_ard_3-2-1_50JLN_2021-12-27_final.stac-item
2022-02-28 12:04:44	ga_s2bm_ard_3-2-1_49JGN_2022-02-28_final.stac-item
2022-03-01 11:36:30	ga_s2bm_ard_3-2-1_50HQK_2022-03-01_final.stac-item
2022-06-05 11:56:30	ga_s2bm_ard_3-2-1_50HNK_2022-06-05_final.stac-item
2022-10-23 11:56:07	ga_s2bm_ard_3-2-1_50JMM_2022-10-23_final.stac-item
2022-10-27 11:36:51	ga_s2bm_ard_3-2-1_50HPJ_2022-10-27_final.stac-item
2022-11-02 11:53:19	ga_s2bm_ard_3-2-1_50KPC_2022-11-02_final.stac-item
2022-11-12 11:56:19	ga_s2bm_ard_3-2-1_50JLL_2022-11-12_final.stac-item
2022-11-15 12:04:13	ga_s2bm_ard_3-2-1_49KHQ_2022-11-15_final.stac-item
2022-11-25 12:05:29	ga_s2bm_ard_3-2-1_49JGK_2022-11-25_final.stac-item
2022-12-15 12:04:41	ga_s2bm_ard_3-2-1_50JKT_2022-12-15_final.stac-item
2023-01-01 11:56:17	ga_s2bm_ard_3-2-1_50JNL_2023-01-01_final.stac-item
2023-01-14 12:03:37	ga_s2bm_ard_3-2-1_50KLB_2023-01-14_final.stac-item
2023-01-15 11:36:59	ga_s2bm_ard_3-2-1_50HQH_2023-01-15_final.stac-item
2023-01-17 12:13:51	ga_s2bm_ard_3-2-1_50KKA_2023-01-17_final.stac-item
2023-01-21 11:57:18	ga_s2bm_ard_3-2-1_50HMG_2023-01-21_final
2023-02-13 12:04:38	ga_s2bm_ard_3-2-1_50JLT_2023-02-13_nrt.stac-item
2023-02-16 12:13:53	ga_s2bm_ard_3-2-1_49KHR_2023-02-16_final
2023-05-14 12:04:30	ga_s2bm_ard_3-2-1_49KHP_2023-05-14_final
2023-06-17 11:46:57	ga_s2bm_ard_3-2-1_50HNJ_2023-06-17_final
2023-07-14 11:35:55	ga_s2bm_ard_3-2-1_50JQN_2023-07-14_final
2023-08-29 11:56:41	ga_s2bm_ard_3-2-1_50HMK_2023-08-29_final
2023-09-01 12:05:46	ga_s2bm_ard_3-2-1_50JKP_2023-09-01_final
2023-10-11 12:04:00	ga_s2bm_ard_3-2-1_50KKA_2023-10-11_final
2023-10-28 11:56:52	ga_s2bm_ard_3-2-1_50HMJ_2023-10-28_final
2023-12-07 11:56:19	ga_s2bm_ard_3-2-1_50JML_2023-12-07_final
2024-01-12 12:14:25	ga_s2bm_ard_3-2-1_49KGP_2024-01-12_final
2024-02-18 12:03:42	ga_s2bm_ard_3-2-1_50KLB_2024-02-18_final
2024-03-03 11:46:40	ga_s2bm_ard_3-2-1_50HQJ_2024-03-03_final
2024-03-19 12:05:43	ga_s2bm_ard_3-2-1_49JGJ_2024-03-19_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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