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
2017-09-23 11:29:24	ga_s2bm_ard_3-2-1_50JQM_2017-09-23_final.stac-item
2017-11-02 11:30:27	ga_s2bm_ard_3-2-1_51KWU_2017-11-02_final.stac-item
2017-11-03 10:57:02	ga_s2bm_ard_3-2-1_52JDL_2017-11-03_final.stac-item
2017-11-20 10:47:12	ga_s2bm_ard_3-2-1_52JFS_2017-11-20_final.stac-item
2017-11-22 11:30:28	ga_s2bm_ard_3-2-1_50JRT_2017-11-22_final.stac-item
2017-12-16 11:07:00	ga_s2bm_ard_3-2-1_51HWD_2017-12-16_final.stac-item
2017-12-25 11:40:37	ga_s2bm_ard_3-2-1_50JPS_2017-12-25_final.stac-item
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51KVT_2018-01-31_final.stac-item
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51KXQ_2018-01-31_final.stac-item
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_51JWL_2018-03-02_final.stac-item
2018-03-10 10:47:15	ga_s2bm_ard_3-2-1_52JFT_2018-03-10_final.stac-item
2018-03-23 10:57:10	ga_s2bm_ard_3-2-1_52LGJ_2018-03-23_final.stac-item
2018-04-01 11:30:00	ga_s2bm_ard_3-2-1_51KUT_2018-04-01_final.stac-item
2018-05-02 11:00:12	ga_s2bm_ard_3-2-1_52JFS_2018-05-02_final.stac-item
2018-06-08 10:54:57	ga_s2bm_ard_3-2-1_52JGM_2018-06-08_final.stac-item
2018-06-20 11:34:51	ga_s2bm_ard_3-2-1_50HPJ_2018-06-20_final.stac-item
2018-06-27 11:19:19	ga_s2bm_ard_3-2-1_51KZU_2018-06-27_final.stac-item
2018-10-01 11:44:52	ga_s2bm_ard_3-2-1_50JML_2018-10-01_final.stac-item
2018-12-04 11:22:36	ga_s2bm_ard_3-2-1_51KYV_2018-12-04_final.stac-item
2018-12-28 11:05:41	ga_s2bm_ard_3-2-1_52JEM_2018-12-28_final.stac-item
2019-01-03 11:26:42	ga_s2bm_ard_3-2-1_51HVD_2019-01-03_final.stac-item
2019-01-03 11:26:59	ga_s2bm_ard_3-2-1_51HUC_2019-01-03_final.stac-item
2019-01-16 11:32:50	ga_s2bm_ard_3-2-1_51KYU_2019-01-16_final.stac-item
2019-01-26 11:32:51	ga_s2bm_ard_3-2-1_51KYU_2019-01-26_final.stac-item
2019-02-18 11:41:58	ga_s2bm_ard_3-2-1_51LVC_2019-02-18_final.stac-item
2019-03-20 11:43:03	ga_s2bm_ard_3-2-1_50KRD_2019-03-20_final.stac-item
2019-04-03 11:27:01	ga_s2bm_ard_3-2-1_51HVC_2019-04-03_final.stac-item
2019-04-26 11:36:27	ga_s2bm_ard_3-2-1_50JQL_2019-04-26_final.stac-item
2019-06-09 11:13:01	ga_s2bm_ard_3-2-1_52KCD_2019-06-09_final.stac-item
2019-07-03 10:55:36	ga_s2bm_ard_3-2-1_52JGN_2019-07-03_final.stac-item
2019-08-08 11:14:30	ga_s2bm_ard_3-2-1_51JZN_2019-08-08_final.stac-item
2019-09-02 12:03:30	ga_s2bm_ard_3-2-1_50KLC_2019-09-02_final.stac-item
2019-12-25 11:44:46	ga_s2bm_ard_3-2-1_51JUL_2019-12-25_final.stac-item
2019-12-27 10:45:49	ga_s2bm_ard_3-2-1_52JGL_2019-12-27_final.stac-item
2020-01-15 11:12:29	ga_s2bm_ard_3-2-1_52KDE_2020-01-15_final.stac-item
2020-02-04 11:13:12	ga_s2bm_ard_3-2-1_52KDB_2020-02-04_final.stac-item
2020-02-10 11:33:18	ga_s2bm_ard_3-2-1_51KXS_2020-02-10_final.stac-item
2020-03-01 11:36:49	ga_s2bm_ard_3-2-1_50HPJ_2020-03-01_final.stac-item
2020-03-02 11:04:55	ga_s2bm_ard_3-2-1_52JFQ_2020-03-02_final.stac-item
2020-04-16 11:54:37	ga_s2bm_ard_3-2-1_50JNT_2020-04-16_final.stac-item
2020-06-12 11:46:25	ga_s2bm_ard_3-2-1_50JNL_2020-06-12_final.stac-item
2020-07-06 11:26:49	ga_s2bm_ard_3-2-1_51HUD_2020-07-06_final.stac-item
2020-07-16 11:24:05	ga_s2bm_ard_3-2-1_51KZP_2020-07-16_final.stac-item
2020-07-31 12:14:01	ga_s2bm_ard_3-2-1_49KGR_2020-07-31_final.stac-item
2020-09-18 11:05:54	ga_s2bm_ard_3-2-1_52JCM_2020-09-18_final.stac-item
2020-11-18 12:14:28	ga_s2bm_ard_3-2-1_49KGP_2020-11-18_final.stac-item
2020-11-25 12:05:15	ga_s2bm_ard_3-2-1_49JGL_2020-11-25_final.stac-item
2021-01-05 11:34:31	ga_s2bm_ard_3-2-1_51JUN_2021-01-05_final.stac-item
2021-02-07 11:41:58	ga_s2bm_ard_3-2-1_51LVC_2021-02-07_final.stac-item
2021-02-08 11:12:16	ga_s2bm_ard_3-2-1_52KEF_2021-02-08_final.stac-item
2021-03-02 11:55:14	ga_s2bm_ard_3-2-1_50JPQ_2021-03-02_final.stac-item
2021-03-09 11:42:29	ga_s2bm_ard_3-2-1_51KUA_2021-03-09_final.stac-item
2021-03-12 11:53:16	ga_s2bm_ard_3-2-1_50KQC_2021-03-12_final.stac-item
2021-03-23 11:26:31	ga_s2bm_ard_3-2-1_51HUE_2021-03-23_final.stac-item
2021-03-27 11:05:04	ga_s2bm_ard_3-2-1_52JDQ_2021-03-27_final.stac-item
2021-04-28 11:41:54	ga_s2bm_ard_3-2-1_51LVC_2021-04-28_final.stac-item
2021-05-25 11:34:00	ga_s2bm_ard_3-2-1_51KVQ_2021-05-25_final.stac-item
2021-06-02 10:55:28	ga_s2bm_ard_3-2-1_52JGN_2021-06-02_final.stac-item
2021-06-04 11:33:24	ga_s2bm_ard_3-2-1_51KXS_2021-06-04_final.stac-item
2021-07-05 11:04:16	ga_s2bm_ard_3-2-1_52JFT_2021-07-05_final.stac-item
2021-07-11 11:23:41	ga_s2bm_ard_3-2-1_51KYR_2021-07-11_final.stac-item
2021-07-24 11:33:36	ga_s2bm_ard_3-2-1_51KUS_2021-07-24_final.stac-item
2021-09-13 11:05:19	ga_s2bm_ard_3-2-1_52JCP_2021-09-13_final.stac-item
2021-09-19 11:23:21	ga_s2bm_ard_3-2-1_51KYS_2021-09-19_final.stac-item
2022-01-17 11:25:46	ga_s2bm_ard_3-2-1_51JWG_2022-01-17_final.stac-item
2022-01-21 11:01:27	ga_s2bm_ard_3-2-1_52LGJ_2022-01-21_final.stac-item
2022-01-27 11:26:56	ga_s2bm_ard_3-2-1_51HUC_2022-01-27_final.stac-item
2022-02-12 11:43:05	ga_s2bm_ard_3-2-1_51KVT_2022-02-12_final.stac-item
2022-02-15 11:54:42	ga_s2bm_ard_3-2-1_50JPS_2022-02-15_final.stac-item
2022-05-23 11:45:36	ga_s2bm_ard_3-2-1_50JPP_2022-05-23_final.stac-item
2022-05-31 11:05:34	ga_s2bm_ard_3-2-1_52JDN_2022-05-31_final.stac-item
2022-05-31 11:06:37	ga_s2bm_ard_3-2-1_51HYD_2022-05-31_final.stac-item
2022-06-08 12:04:08	ga_s2bm_ard_3-2-1_50KMV_2022-06-08_final.stac-item
2022-06-10 11:06:05	ga_s2bm_ard_3-2-1_52JDL_2022-06-10_final.stac-item
2022-08-12 11:16:34	ga_s2bm_ard_3-2-1_51HWE_2022-08-12_final.stac-item
2022-09-07 11:33:36	ga_s2bm_ard_3-2-1_51KUS_2022-09-07_final.stac-item
2022-09-21 12:51:00	ga_s2bm_ard_3-2-1_48LXP_2022-09-21_interim
2022-10-07 11:32:55	ga_s2bm_ard_3-2-1_51KWU_2022-10-07_final.stac-item
2022-10-10 11:45:16	ga_s2bm_ard_3-2-1_50JQQ_2022-10-10_final.stac-item
2022-11-14 10:55:02	ga_s2bm_ard_3-2-1_52JFQ_2022-11-14_final.stac-item
2022-11-19 11:44:10	ga_s2bm_ard_3-2-1_50KPV_2022-11-19_final.stac-item
2022-11-23 11:24:18	ga_s2bm_ard_3-2-1_51JZN_2022-11-23_final.stac-item
2022-11-27 11:03:48	ga_s2bm_ard_3-2-1_52KEV_2022-11-27_final.stac-item
2022-11-27 11:06:05	ga_s2bm_ard_3-2-1_52JCL_2022-11-27_final.stac-item
2023-01-21 13:31:37	ga_s2bm_ard_3-2-1_46LHM_2023-01-21_interim
2023-02-22 10:52:59	ga_s2bm_ard_3-2-1_52KHC_2023-02-22_final
2023-04-08 11:43:03	ga_s2bm_ard_3-2-1_51KUU_2023-04-08_final
2023-05-26 11:06:22	ga_s2bm_ard_3-2-1_52HDK_2023-05-26_final
2023-06-18 11:13:27	ga_s2bm_ard_3-2-1_52KCB_2023-06-18_final
2023-06-28 11:13:44	ga_s2bm_ard_3-2-1_52KBA_2023-06-28_final
2023-07-01 11:21:37	ga_s2bm_ard_3-2-1_52LDJ_2023-07-01_final
2023-07-01 11:23:30	ga_s2bm_ard_3-2-1_51KYS_2023-07-01_final
2023-07-30 11:56:42	ga_s2bm_ard_3-2-1_50HMK_2023-07-30_final
2023-09-12 11:34:03	ga_s2bm_ard_3-2-1_51KVQ_2023-09-12_final
2023-09-26 11:16:38	ga_s2bm_ard_3-2-1_52HBJ_2023-09-26_nrt
2023-11-17 11:56:13	ga_s2bm_ard_3-2-1_50JKM_2023-11-17_final
2023-11-19 10:52:42	ga_s2bm_ard_3-2-1_52KHD_2023-11-19_final
2023-12-31 11:35:31	ga_s2bm_ard_3-2-1_51JUJ_2023-12-31_final
2024-03-04 12:50:55	ga_s2bm_ard_3-2-1_48LWP_2024-03-04_final
2024-04-03 11:15:12	ga_s2bm_ard_3-2-1_51JYK_2024-04-03_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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