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
2017-07-25 11:34:58	ga_s2bm_ard_3-2-1_50HPH_2017-07-25_final.stac-item
2017-08-26 12:13:17	ga_s2bm_ard_3-2-1_49JGM_2017-08-26_final.stac-item
2018-03-09 11:26:31	ga_s2bm_ard_3-2-1_51HVD_2018-03-09_final.stac-item
2018-04-01 11:30:00	ga_s2bm_ard_3-2-1_51JXN_2018-04-01_final.stac-item
2018-04-20 12:02:48	ga_s2bm_ard_3-2-1_50KNC_2018-04-20_final.stac-item
2018-05-07 11:53:53	ga_s2bm_ard_3-2-1_50HNK_2018-05-07_final.stac-item
2018-05-20 12:02:47	ga_s2bm_ard_3-2-1_50KLU_2018-05-20_final.stac-item
2018-08-02 11:44:54	ga_s2bm_ard_3-2-1_50HMH_2018-08-02_final.stac-item
2018-10-27 12:02:47	ga_s2bm_ard_3-2-1_50JKT_2018-10-27_final.stac-item
2018-12-03 11:56:25	ga_s2bm_ard_3-2-1_50HNK_2018-12-03_final.stac-item
2018-12-19 12:15:05	ga_s2bm_ard_3-2-1_49JGL_2018-12-19_final.stac-item
2019-02-24 12:04:41	ga_s2bm_ard_3-2-1_49JHN_2019-02-24_final.stac-item
2019-03-17 11:36:47	ga_s2bm_ard_3-2-1_50HQJ_2019-03-17_final.stac-item
2019-04-19 11:46:14	ga_s2bm_ard_3-2-1_50JNM_2019-04-19_final.stac-item
2019-04-25 12:05:20	ga_s2bm_ard_3-2-1_49JGL_2019-04-25_final.stac-item
2019-05-06 11:36:40	ga_s2bm_ard_3-2-1_51HTE_2019-05-06_final.stac-item
2019-07-11 11:56:08	ga_s2bm_ard_3-2-1_50JKN_2019-07-11_final.stac-item
2019-08-23 12:04:19	ga_s2bm_ard_3-2-1_49KHQ_2019-08-23_final.stac-item
2019-09-02 12:05:18	ga_s2bm_ard_3-2-1_49JGL_2019-09-02_final.stac-item
2019-10-02 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2019-10-02_final.stac-item
2019-11-21 12:03:56	ga_s2bm_ard_3-2-1_50KKA_2019-11-21_final.stac-item
2020-01-13 12:13:49	ga_s2bm_ard_3-2-1_49KHR_2020-01-13_final.stac-item
2020-01-13 12:14:50	ga_s2bm_ard_3-2-1_49JGM_2020-01-13_final.stac-item
2020-01-14 11:44:32	ga_s2bm_ard_3-2-1_50JPT_2020-01-14_final.stac-item
2020-02-07 11:26:38	ga_s2bm_ard_3-2-1_51HVD_2020-02-07_final.stac-item
2020-02-20 11:34:21	ga_s2bm_ard_3-2-1_51JWN_2020-02-20_final.stac-item
2020-02-20 11:36:34	ga_s2bm_ard_3-2-1_50HPK_2020-02-20_final.stac-item
2020-03-08 11:26:45	ga_s2bm_ard_3-2-1_51HUD_2020-03-08_final.stac-item
2020-04-16 11:53:27	ga_s2bm_ard_3-2-1_50KMC_2020-04-16_final.stac-item
2020-04-23 11:47:04	ga_s2bm_ard_3-2-1_50HMH_2020-04-23_final.stac-item
2020-05-17 11:25:27	ga_s2bm_ard_3-2-1_51JWJ_2020-05-17_final.stac-item
2020-05-23 11:43:19	ga_s2bm_ard_3-2-1_50KRC_2020-05-23_final.stac-item
2020-06-18 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2020-06-18_final.stac-item
2020-06-26 11:27:01	ga_s2bm_ard_3-2-1_51HVC_2020-06-26_final.stac-item
2020-08-28 11:34:35	ga_s2bm_ard_3-2-1_51JUN_2020-08-28_final.stac-item
2020-09-27 11:36:34	ga_s2bm_ard_3-2-1_51HTE_2020-09-27_final.stac-item
2020-10-09 12:14:02	ga_s2bm_ard_3-2-1_50KKA_2020-10-09_final.stac-item
2020-11-05 12:04:45	ga_s2bm_ard_3-2-1_50JKT_2020-11-05_final.stac-item
2020-11-06 11:37:05	ga_s2bm_ard_3-2-1_50HQH_2020-11-06_final.stac-item
2020-12-29 11:46:35	ga_s2bm_ard_3-2-1_50HNK_2020-12-29_final.stac-item
2021-01-27 12:13:54	ga_s2bm_ard_3-2-1_50KKA_2021-01-27_final.stac-item
2021-01-31 11:56:29	ga_s2bm_ard_3-2-1_50HNK_2021-01-31_final.stac-item
2021-02-04 11:34:42	ga_s2bm_ard_3-2-1_51JVM_2021-02-04_final.stac-item
2021-02-07 11:44:44	ga_s2bm_ard_3-2-1_51JTM_2021-02-07_final.stac-item
2021-02-27 11:46:28	ga_s2bm_ard_3-2-1_50HQK_2021-02-27_final.stac-item
2021-03-08 12:14:40	ga_s2bm_ard_3-2-1_49JGN_2021-03-08_final.stac-item
2021-04-25 11:36:33	ga_s2bm_ard_3-2-1_50HPK_2021-04-25_final.stac-item
2021-06-20 11:52:20	ga_s2bm_ard_3-2-1_50KQG_2021-06-20_final
2021-07-07 11:46:17	ga_s2bm_ard_3-2-1_50JQL_2021-07-07_final.stac-item
2021-07-07 11:46:39	ga_s2bm_ard_3-2-1_50HNK_2021-07-07_final.stac-item
2021-08-10 11:26:44	ga_s2bm_ard_3-2-1_51HVD_2021-08-10_final.stac-item
2021-08-23 11:36:47	ga_s2bm_ard_3-2-1_50HQJ_2021-08-23_final.stac-item
2021-09-01 12:04:45	ga_s2bm_ard_3-2-1_50JKT_2021-09-01_final.stac-item
2021-09-02 11:36:14	ga_s2bm_ard_3-2-1_51JTF_2021-09-02_final.stac-item
2021-11-03 12:14:09	ga_s2bm_ard_3-2-1_49KHQ_2021-11-03_final.stac-item
2021-11-13 12:13:55	ga_s2bm_ard_3-2-1_49KHR_2021-11-13_final.stac-item
2021-11-13 12:15:09	ga_s2bm_ard_3-2-1_49JGL_2021-11-13_final.stac-item
2021-11-27 11:53:17	ga_s2bm_ard_3-2-1_50KPC_2021-11-27_final.stac-item
2021-12-07 11:55:51	ga_s2bm_ard_3-2-1_50JLN_2021-12-07_final.stac-item
2021-12-21 11:36:23	ga_s2bm_ard_3-2-1_51HUE_2021-12-21_final.stac-item
2022-01-17 11:26:54	ga_s2bm_ard_3-2-1_51HVC_2022-01-17_final.stac-item
2022-01-19 12:04:23	ga_s2bm_ard_3-2-1_49KHP_2022-01-19_final.stac-item
2022-03-13 12:13:52	ga_s2bm_ard_3-2-1_50KKA_2022-03-13_final.stac-item
2022-03-21 11:34:23	ga_s2bm_ard_3-2-1_51JWN_2022-03-21_final.stac-item
2022-04-19 12:04:27	ga_s2bm_ard_3-2-1_49KGP_2022-04-19_final.stac-item
2022-04-26 11:56:19	ga_s2bm_ard_3-2-1_50JLL_2022-04-26_final.stac-item
2022-05-03 11:43:13	ga_s2bm_ard_3-2-1_50KRC_2022-05-03_final.stac-item
2022-05-17 11:24:55	ga_s2bm_ard_3-2-1_51JXL_2022-05-17_final.stac-item
2022-07-22 11:46:13	ga_s2bm_ard_3-2-1_50JNM_2022-07-22_final.stac-item
2022-07-29 11:36:15	ga_s2bm_ard_3-2-1_51JVF_2022-07-29_final.stac-item
2022-08-10 12:13:43	ga_s2bm_ard_3-2-1_50KKB_2022-08-10_final.stac-item
2022-08-24 11:56:41	ga_s2bm_ard_3-2-1_50HLK_2022-08-24_final.stac-item
2022-09-16 12:04:33	ga_s2bm_ard_3-2-1_49KGP_2022-09-16_final.stac-item
2022-10-09 12:13:37	ga_s2bm_ard_3-2-1_50KKB_2022-10-09_final.stac-item
2022-10-09 12:14:39	ga_s2bm_ard_3-2-1_49JGN_2022-10-09_final.stac-item
2022-11-05 12:04:29	ga_s2bm_ard_3-2-1_49KGP_2022-11-05_final.stac-item
2022-11-23 11:26:14	ga_s2bm_ard_3-2-1_51JVF_2022-11-23_final.stac-item
2022-12-29 11:45:13	ga_s2bm_ard_3-2-1_51JTK_2022-12-29_final.stac-item
2023-01-24 12:03:18	ga_s2bm_ard_3-2-1_50KNC_2023-01-24_final.stac-item
2023-02-16 12:13:53	ga_s2bm_ard_3-2-1_49KHR_2023-02-16_final
2023-04-02 11:26:25	ga_s2bm_ard_3-2-1_51HXE_2023-04-02_final
2023-04-05 11:37:04	ga_s2bm_ard_3-2-1_51HTC_2023-04-05_final
2023-04-07 12:14:30	ga_s2bm_ard_3-2-1_49KGP_2023-04-07_final
2023-04-09 11:16:25	ga_s2bm_ard_3-2-1_51HYE_2023-04-09_final
2023-04-11 11:56:27	ga_s2bm_ard_3-2-1_50JLL_2023-04-11_final
2023-04-21 11:56:01	ga_s2bm_ard_3-2-1_50JKN_2023-04-21_final
2023-05-07 12:14:32	ga_s2bm_ard_3-2-1_49KGP_2023-05-07_final
2023-06-24 11:36:30	ga_s2bm_ard_3-2-1_50JPL_2023-06-24_final
2023-09-19 11:25:13	ga_s2bm_ard_3-2-1_51JXK_2023-09-19_final
2023-10-22 11:36:39	ga_s2bm_ard_3-2-1_50HPK_2023-10-22_final
2023-10-29 11:26:16	ga_s2bm_ard_3-2-1_51JVF_2023-10-29_final
2023-11-30 12:05:41	ga_s2bm_ard_3-2-1_49JGJ_2023-11-30_final
2023-12-07 11:56:19	ga_s2bm_ard_3-2-1_50JML_2023-12-07_final
2023-12-17 11:53:10	ga_s2bm_ard_3-2-1_50KRC_2023-12-17_final
2024-01-13 11:43:49	ga_s2bm_ard_3-2-1_50KQA_2024-01-13_final
2024-01-13 11:47:12	ga_s2bm_ard_3-2-1_50HLH_2024-01-13_final
2024-02-09 11:34:25	ga_s2bm_ard_3-2-1_51JWN_2024-02-09_final
2024-03-19 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2024-03-19_final
2024-04-12 11:43:19	ga_s2bm_ard_3-2-1_50KRC_2024-04-12_final
2024-04-28 12:04:56	ga_s2bm_ard_3-2-1_49JHM_2024-04-28_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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