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
2017-11-08 11:53:07	ga_s2bm_ard_3-2-1_50JKM_2017-11-08_final.stac-item
2017-11-27 10:37:15	ga_s2bm_ard_3-2-1_53JNM_2017-11-27_final.stac-item
2018-01-01 11:30:30	ga_s2bm_ard_3-2-1_51KWQ_2018-01-01_final.stac-item
2018-01-17 11:49:12	ga_s2bm_ard_3-2-1_50KPA_2018-01-17_final.stac-item
2018-01-28 11:25:10	ga_s2bm_ard_3-2-1_51JVF_2018-01-28_final.stac-item
2018-02-07 11:16:52	ga_s2bm_ard_3-2-1_51HWD_2018-02-07_final.stac-item
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51JVG_2018-02-20_final.stac-item
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51KXR_2018-02-20_final.stac-item
2018-05-23 10:32:01	ga_s2bm_ard_3-2-1_53JPM_2018-05-23_final.stac-item
2018-08-30 11:00:32	ga_s2bm_ard_3-2-1_52JFM_2018-08-30_final.stac-item
2018-10-02 11:12:46	ga_s2bm_ard_3-2-1_51KZQ_2018-10-02_final.stac-item
2018-10-05 11:21:50	ga_s2bm_ard_3-2-1_51JZN_2018-10-05_final.stac-item
2018-10-11 11:41:47	ga_s2bm_ard_3-2-1_51KUR_2018-10-11_final.stac-item
2018-10-21 11:38:40	ga_s2bm_ard_3-2-1_51KUU_2018-10-21_final.stac-item
2018-10-28 11:31:46	ga_s2bm_ard_3-2-1_51KXR_2018-10-28_final.stac-item
2018-11-07 11:32:38	ga_s2bm_ard_3-2-1_51KXV_2018-11-07_final.stac-item
2018-11-24 11:26:46	ga_s2bm_ard_3-2-1_51HVD_2018-11-24_final.stac-item
2018-12-01 11:10:20	ga_s2bm_ard_3-2-1_52LHN_2018-12-01_final.stac-item
2019-01-09 11:42:41	ga_s2bm_ard_3-2-1_51KVV_2019-01-09_final.stac-item
2019-01-16 11:32:50	ga_s2bm_ard_3-2-1_51KYU_2019-01-16_final.stac-item
2019-01-30 11:13:30	ga_s2bm_ard_3-2-1_52KEA_2019-01-30_final.stac-item
2019-04-29 11:47:14	ga_s2bm_ard_3-2-1_50HNH_2019-04-29_final.stac-item
2019-06-06 11:03:24	ga_s2bm_ard_3-2-1_52KFB_2019-06-06_final.stac-item
2019-07-17 10:36:15	ga_s2bm_ard_3-2-1_53HNE_2019-07-17_final.stac-item
2019-07-17 10:36:41	ga_s2bm_ard_3-2-1_53HPC_2019-07-17_final.stac-item
2019-08-14 11:36:40	ga_s2bm_ard_3-2-1_50HQK_2019-08-14_final.stac-item
2019-10-15 12:14:50	ga_s2bm_ard_3-2-1_49JFN_2019-10-15_final.stac-item
2019-12-01 10:27:00	ga_s2bm_ard_3-2-1_53HPA_2019-12-01_final.stac-item
2020-01-08 11:21:35	ga_s2bm_ard_3-2-1_51LZD_2020-01-08_final.stac-item
2020-01-22 11:02:33	ga_s2bm_ard_3-2-1_52KHD_2020-01-22_final.stac-item
2020-01-23 12:14:49	ga_s2bm_ard_3-2-1_49JGM_2020-01-23_final.stac-item
2020-02-07 11:26:30	ga_s2bm_ard_3-2-1_51HXD_2020-02-07_final.stac-item
2020-03-14 11:45:09	ga_s2bm_ard_3-2-1_50JNR_2020-03-14_final.stac-item
2020-04-04 11:16:20	ga_s2bm_ard_3-2-1_51HYE_2020-04-04_final.stac-item
2020-04-20 11:34:32	ga_s2bm_ard_3-2-1_50JRT_2020-04-20_final.stac-item
2020-04-27 11:23:39	ga_s2bm_ard_3-2-1_52KBV_2020-04-27_final.stac-item
2020-05-21 11:03:02	ga_s2bm_ard_3-2-1_52KFC_2020-05-21_final.stac-item
2020-06-03 11:13:41	ga_s2bm_ard_3-2-1_52KBA_2020-06-03_final.stac-item
2020-06-18 12:05:54	ga_s2bm_ard_3-2-1_50JLN_2020-06-18_final.stac-item
2020-07-26 11:25:55	ga_s2bm_ard_3-2-1_51JXG_2020-07-26_final.stac-item
2020-08-05 11:23:10	ga_s2bm_ard_3-2-1_51KZT_2020-08-05_final.stac-item
2020-09-10 11:46:15	ga_s2bm_ard_3-2-1_50JMM_2020-09-10_final.stac-item
2020-09-21 11:16:43	ga_s2bm_ard_3-2-1_51HXD_2020-09-21_final.stac-item
2020-09-24 11:24:21	ga_s2bm_ard_3-2-1_51JZN_2020-09-24_final.stac-item
2020-10-05 10:54:29	ga_s2bm_ard_3-2-1_52JHS_2020-10-05_final.stac-item
2020-10-06 10:26:54	ga_s2bm_ard_3-2-1_53HPB_2020-10-06_final.stac-item
2020-12-04 10:55:38	ga_s2bm_ard_3-2-1_53JKG_2020-12-04_final.stac-item
2020-12-06 11:33:22	ga_s2bm_ard_3-2-1_51KXS_2020-12-06_final.stac-item
2021-02-01 11:25:33	ga_s2bm_ard_3-2-1_51JYH_2021-02-01_final.stac-item
2021-02-07 11:46:22	ga_s2bm_ard_3-2-1_50JNL_2021-02-07_final.stac-item
2021-03-20 11:13:39	ga_s2bm_ard_3-2-1_51KZR_2021-03-20_final.stac-item
2021-05-19 11:16:26	ga_s2bm_ard_3-2-1_51HXE_2021-05-19_final.stac-item
2021-07-01 11:23:26	ga_s2bm_ard_3-2-1_51KYS_2021-07-01_final.stac-item
2021-07-11 11:23:15	ga_s2bm_ard_3-2-1_51KXT_2021-07-11_final.stac-item
2021-07-17 11:46:17	ga_s2bm_ard_3-2-1_50JQL_2021-07-17_final.stac-item
2021-09-11 12:05:40	ga_s2bm_ard_3-2-1_49JGJ_2021-09-11_final.stac-item
2021-10-05 11:46:13	ga_s2bm_ard_3-2-1_50JMM_2021-10-05_final.stac-item
2021-10-12 11:33:02	ga_s2bm_ard_3-2-1_51KVU_2021-10-12_final.stac-item
2021-10-16 11:10:26	ga_s2bm_ard_3-2-1_52LHN_2021-10-16_final.stac-item
2022-01-02 10:34:14	ga_s2bm_ard_3-2-1_53JQM_2022-01-02_final.stac-item
2022-01-12 10:34:09	ga_s2bm_ard_3-2-1_53JNN_2022-01-12_final.stac-item
2022-01-14 11:12:02	ga_s2bm_ard_3-2-1_52KDG_2022-01-14_final.stac-item
2022-01-25 10:45:52	ga_s2bm_ard_3-2-1_53JKF_2022-01-25_final.stac-item
2022-02-12 11:46:09	ga_s2bm_ard_3-2-1_50JQL_2022-02-12_final.stac-item
2022-02-28 10:26:43	ga_s2bm_ard_3-2-1_53HQB_2022-02-28_final.stac-item
2022-03-01 11:32:37	ga_s2bm_ard_3-2-1_51KXV_2022-03-01_final.stac-item
2022-03-14 11:41:57	ga_s2bm_ard_3-2-1_51LVC_2022-03-14_final.stac-item
2022-04-04 11:16:41	ga_s2bm_ard_3-2-1_51HWD_2022-04-04_final.stac-item
2022-05-30 11:33:34	ga_s2bm_ard_3-2-1_51KUS_2022-05-30_final.stac-item
2022-06-09 11:36:21	ga_s2bm_ard_3-2-1_50JQL_2022-06-09_final.stac-item
2022-06-24 10:46:14	ga_s2bm_ard_3-2-1_53HLE_2022-06-24_final.stac-item
2022-07-30 11:05:03	ga_s2bm_ard_3-2-1_52JFQ_2022-07-30_final.stac-item
2022-07-31 12:14:13	ga_s2bm_ard_3-2-1_49KHQ_2022-07-31_final.stac-item
2022-08-01 11:44:36	ga_s2bm_ard_3-2-1_51JTN_2022-08-01_final.stac-item
2022-10-01 11:16:40	ga_s2bm_ard_3-2-1_51HXD_2022-10-01_final.stac-item
2022-11-05 10:25:03	ga_s2bm_ard_3-2-1_53JQJ_2022-11-05_final.stac-item
2022-11-06 11:34:09	ga_s2bm_ard_3-2-1_51KWP_2022-11-06_final.stac-item
2022-11-14 10:55:31	ga_s2bm_ard_3-2-1_52JFN_2022-11-14_final.stac-item
2022-11-20 11:14:25	ga_s2bm_ard_3-2-1_52JDS_2022-11-20_final.stac-item
2022-11-26 11:33:01	ga_s2bm_ard_3-2-1_51KYT_2022-11-26_final.stac-item
2022-12-17 11:06:05	ga_s2bm_ard_3-2-1_52JCL_2022-12-17_final.stac-item
2022-12-30 11:10:57	ga_s2bm_ard_3-2-1_52LGL_2022-12-30_final.stac-item
2023-01-30 10:44:40	ga_s2bm_ard_3-2-1_53JLL_2023-01-30_final.stac-item
2023-02-03 12:04:39	ga_s2bm_ard_3-2-1_49JHN_2023-02-03_final.stac-item
2023-06-07 11:45:22	ga_s2bm_ard_3-2-1_50JQQ_2023-06-07_final
2023-08-14 11:06:04	ga_s2bm_ard_3-2-1_52JBM_2023-08-14_final
2023-08-17 11:14:26	ga_s2bm_ard_3-2-1_52JCT_2023-08-17_final
2023-11-14 11:47:07	ga_s2bm_ard_3-2-1_50HNH_2023-11-14_final
2023-12-09 10:54:37	ga_s2bm_ard_3-2-1_53JLL_2023-12-09_final
2023-12-15 11:10:56	ga_s2bm_ard_3-2-1_52LGL_2023-12-15_final
2024-01-01 11:03:57	ga_s2bm_ard_3-2-1_52KGU_2024-01-01_final
2024-01-03 11:43:18	ga_s2bm_ard_3-2-1_51KTT_2024-01-03_final
2024-01-17 11:22:21	ga_s2bm_ard_3-2-1_52KBF_2024-01-17_final
2024-01-27 11:23:12	ga_s2bm_ard_3-2-1_51KZT_2024-01-27_final
2024-02-15 11:57:16	ga_s2bm_ard_3-2-1_49HGC_2024-02-15_nrt
2024-03-02 10:35:20	ga_s2bm_ard_3-2-1_53JNH_2024-03-02_final
2024-03-02 10:35:46	ga_s2bm_ard_3-2-1_53JPF_2024-03-02_final
2024-03-11 11:03:01	ga_s2bm_ard_3-2-1_52KEC_2024-03-11_final
2024-03-12 10:35:53	ga_s2bm_ard_3-2-1_53HQE_2024-03-12_final
2024-03-12 10:36:43	ga_s2bm_ard_3-2-1_53HPB_2024-03-12_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

All years