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 12:04:34	ga_s2bm_ard_3-2-1_50JKN_2017-07-04_final.stac-item
2017-07-24 12:02:49	ga_s2bm_ard_3-2-1_50JLP_2017-07-24_final.stac-item
2017-09-02 12:02:43	ga_s2bm_ard_3-2-1_50KKA_2017-09-02_final.stac-item
2017-09-22 12:02:37	ga_s2bm_ard_3-2-1_49JGN_2017-09-22_final.stac-item
2017-09-29 11:51:40	ga_s2bm_ard_3-2-1_50JML_2017-09-29_final.stac-item
2017-12-25 11:46:02	ga_s2bm_ard_3-2-1_50HPK_2017-12-25_final.stac-item
2018-01-10 12:02:41	ga_s2bm_ard_3-2-1_50JKP_2018-01-10_final.stac-item
2018-01-17 11:49:12	ga_s2bm_ard_3-2-1_50KNC_2018-01-17_final.stac-item
2018-02-02 12:13:14	ga_s2bm_ard_3-2-1_49JGM_2018-02-02_final.stac-item
2018-02-06 11:49:12	ga_s2bm_ard_3-2-1_50HMH_2018-02-06_final.stac-item
2018-02-09 12:02:42	ga_s2bm_ard_3-2-1_50KMC_2018-02-09_final.stac-item
2018-04-10 12:04:57	ga_s2bm_ard_3-2-1_50JLM_2018-04-10_final.stac-item
2018-05-30 12:02:46	ga_s2bm_ard_3-2-1_50KMC_2018-05-30_final.stac-item
2018-05-30 12:04:45	ga_s2bm_ard_3-2-1_49JGL_2018-05-30_final.stac-item
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50JQM_2018-07-03_final.stac-item
2018-09-10 12:13:12	ga_s2bm_ard_3-2-1_49KGP_2018-09-10_final.stac-item
2018-09-27 12:02:43	ga_s2bm_ard_3-2-1_49JGL_2018-09-27_final.stac-item
2018-10-10 12:13:39	ga_s2bm_ard_3-2-1_49JGN_2018-10-10_final.stac-item
2019-01-05 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2019-01-05_final.stac-item
2019-01-15 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2019-01-15_final.stac-item
2019-01-28 12:13:54	ga_s2bm_ard_3-2-1_50KKA_2019-01-28_final.stac-item
2019-05-26 11:36:57	ga_s2bm_ard_3-2-1_50HQJ_2019-05-26_final.stac-item
2019-05-28 12:14:03	ga_s2bm_ard_3-2-1_50KKA_2019-05-28_final.stac-item
2019-06-14 12:05:59	ga_s2bm_ard_3-2-1_50JLN_2019-06-14_final.stac-item
2019-07-11 11:54:31	ga_s2bm_ard_3-2-1_50KNU_2019-07-11_final.stac-item
2019-07-25 11:37:15	ga_s2bm_ard_3-2-1_50HPH_2019-07-25_final.stac-item
2019-08-23 12:06:00	ga_s2bm_ard_3-2-1_50JKN_2019-08-23_final.stac-item
2019-10-09 11:56:05	ga_s2bm_ard_3-2-1_50JNM_2019-10-09_final.stac-item
2019-10-16 11:46:42	ga_s2bm_ard_3-2-1_50HMK_2019-10-16_final.stac-item
2019-11-21 12:05:12	ga_s2bm_ard_3-2-1_49JGL_2019-11-21_final.stac-item
2019-12-11 12:05:38	ga_s2bm_ard_3-2-1_49JGJ_2019-12-11_final.stac-item
2020-02-19 12:04:57	ga_s2bm_ard_3-2-1_49JGM_2020-02-19_final.stac-item
2020-02-29 12:03:20	ga_s2bm_ard_3-2-1_50KMC_2020-02-29_final.stac-item
2020-03-30 12:03:21	ga_s2bm_ard_3-2-1_50KMC_2020-03-30_final.stac-item
2020-06-05 11:56:42	ga_s2bm_ard_3-2-1_50HLK_2020-06-05_final.stac-item
2020-06-28 12:05:40	ga_s2bm_ard_3-2-1_50JLP_2020-06-28_final.stac-item
2020-07-19 11:36:50	ga_s2bm_ard_3-2-1_50HQJ_2020-07-19_final.stac-item
2020-08-04 11:56:02	ga_s2bm_ard_3-2-1_50JKN_2020-08-04_final.stac-item
2020-08-11 11:45:45	ga_s2bm_ard_3-2-1_50JQN_2020-08-11_final.stac-item
2020-10-29 12:14:44	ga_s2bm_ard_3-2-1_49JGN_2020-10-29_final.stac-item
2021-01-04 12:05:36	ga_s2bm_ard_3-2-1_50JLP_2021-01-04_final.stac-item
2021-01-14 12:05:43	ga_s2bm_ard_3-2-1_49JGJ_2021-01-14_final.stac-item
2021-01-28 11:46:48	ga_s2bm_ard_3-2-1_50HPJ_2021-01-28_final.stac-item
2021-02-10 11:57:19	ga_s2bm_ard_3-2-1_50HMG_2021-02-10_final
2021-03-05 12:05:40	ga_s2bm_ard_3-2-1_50JKP_2021-03-05_final.stac-item
2021-03-25 12:04:41	ga_s2bm_ard_3-2-1_50JKT_2021-03-25_final.stac-item
2021-05-15 11:36:51	ga_s2bm_ard_3-2-1_50HPJ_2021-05-15_final.stac-item
2021-05-24 12:03:17	ga_s2bm_ard_3-2-1_50KNC_2021-05-24_final.stac-item
2021-06-13 12:05:52	ga_s2bm_ard_3-2-1_50JLN_2021-06-13_final.stac-item
2021-07-07 11:47:08	ga_s2bm_ard_3-2-1_50HNH_2021-07-07_final.stac-item
2021-07-24 11:37:05	ga_s2bm_ard_3-2-1_50HQH_2021-07-24_final.stac-item
2021-08-19 11:56:07	ga_s2bm_ard_3-2-1_50JMM_2021-08-19_final.stac-item
2021-09-02 11:37:14	ga_s2bm_ard_3-2-1_50HQG_2021-09-02_final
2021-09-15 11:46:44	ga_s2bm_ard_3-2-1_50HPJ_2021-09-15_final.stac-item
2021-10-08 11:55:47	ga_s2bm_ard_3-2-1_50JKP_2021-10-08_final.stac-item
2021-10-11 12:03:27	ga_s2bm_ard_3-2-1_50KLC_2021-10-11_final.stac-item
2021-10-21 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2021-10-21_final.stac-item
2021-10-31 12:03:42	ga_s2bm_ard_3-2-1_50KLB_2021-10-31_final.stac-item
2021-11-01 11:37:08	ga_s2bm_ard_3-2-1_50HPH_2021-11-01_final.stac-item
2021-11-10 12:03:44	ga_s2bm_ard_3-2-1_50KKB_2021-11-10_final.stac-item
2021-11-17 11:57:07	ga_s2bm_ard_3-2-1_50HLH_2021-11-17_final.stac-item
2021-12-17 11:56:01	ga_s2bm_ard_3-2-1_50JMM_2021-12-17_final.stac-item
2022-01-03 11:46:33	ga_s2bm_ard_3-2-1_50HNK_2022-01-03_final.stac-item
2022-01-06 11:55:55	ga_s2bm_ard_3-2-1_50JKN_2022-01-06_final.stac-item
2022-01-09 12:05:51	ga_s2bm_ard_3-2-1_50JKN_2022-01-09_final.stac-item
2022-01-20 11:36:22	ga_s2bm_ard_3-2-1_50JPL_2022-01-20_final.stac-item
2022-01-22 12:14:08	ga_s2bm_ard_3-2-1_49KGQ_2022-01-22_final.stac-item
2022-01-29 12:05:38	ga_s2bm_ard_3-2-1_49JGJ_2022-01-29_final.stac-item
2022-02-05 11:55:54	ga_s2bm_ard_3-2-1_50JKN_2022-02-05_final.stac-item
2022-04-12 12:13:45	ga_s2bm_ard_3-2-1_50KKA_2022-04-12_final.stac-item
2022-05-03 11:46:21	ga_s2bm_ard_3-2-1_50JML_2022-05-03_final.stac-item
2022-05-09 12:05:41	ga_s2bm_ard_3-2-1_49JGJ_2022-05-09_final.stac-item
2022-05-13 11:46:36	ga_s2bm_ard_3-2-1_50HNK_2022-05-13_final.stac-item
2022-06-18 12:04:17	ga_s2bm_ard_3-2-1_50KKV_2022-06-18_final.stac-item
2022-07-15 11:56:01	ga_s2bm_ard_3-2-1_50JLN_2022-07-15_final.stac-item
2022-08-18 11:36:22	ga_s2bm_ard_3-2-1_50JQL_2022-08-18_final.stac-item
2022-09-06 12:04:00	ga_s2bm_ard_3-2-1_50KKA_2022-09-06_final.stac-item
2022-09-06 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2022-09-06_final.stac-item
2022-09-10 11:46:25	ga_s2bm_ard_3-2-1_50JNL_2022-09-10_final.stac-item
2022-09-10 11:46:54	ga_s2bm_ard_3-2-1_50HNJ_2022-09-10_final.stac-item
2022-10-09 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2022-10-09_final.stac-item
2022-11-15 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2022-11-15_final.stac-item
2022-12-19 11:44:29	ga_s2bm_ard_3-2-1_50JRT_2022-12-19_final.stac-item
2023-01-14 12:03:55	ga_s2bm_ard_3-2-1_50KKA_2023-01-14_final.stac-item
2023-01-21 11:56:16	ga_s2bm_ard_3-2-1_50JNL_2023-01-21_final.stac-item
2023-01-31 11:57:06	ga_s2bm_ard_3-2-1_50HLH_2023-01-31_final.stac-item
2023-04-15 11:36:49	ga_s2bm_ard_3-2-1_50HQJ_2023-04-15_final
2023-06-06 12:15:04	ga_s2bm_ard_3-2-1_49JFM_2023-06-06_final
2023-07-07 11:46:31	ga_s2bm_ard_3-2-1_50JML_2023-07-07_final
2023-09-08 11:53:25	ga_s2bm_ard_3-2-1_50KPC_2023-09-08_final
2023-09-11 12:05:47	ga_s2bm_ard_3-2-1_49JGJ_2023-09-11_final
2023-10-02 11:36:39	ga_s2bm_ard_3-2-1_50HPK_2023-10-02_final
2023-12-27 11:55:58	ga_s2bm_ard_3-2-1_50JLN_2023-12-27_final
2023-12-30 12:05:30	ga_s2bm_ard_3-2-1_49JGK_2023-12-30_final
2024-02-05 11:55:44	ga_s2bm_ard_3-2-1_50JLP_2024-02-05_final
2024-03-10 11:37:02	ga_s2bm_ard_3-2-1_50HPH_2024-03-10_final
2024-03-19 12:03:19	ga_s2bm_ard_3-2-1_50KNC_2024-03-19_final
2024-04-08 12:05:40	ga_s2bm_ard_3-2-1_50JKP_2024-04-08_final
2024-04-08 12:05:54	ga_s2bm_ard_3-2-1_50JKN_2024-04-08_final
2024-04-09 11:37:19	ga_s2bm_ard_3-2-1_50HPG_2024-04-09_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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