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
2017-12-12 11:35:52	ga_s2bm_ard_3-2-1_51HUD_2017-12-12_final.stac-item
2017-12-25 11:40:37	ga_s2bm_ard_3-2-1_50JRS_2017-12-25_final.stac-item
2018-02-09 12:02:42	ga_s2bm_ard_3-2-1_49KHR_2018-02-09_final.stac-item
2018-06-09 12:02:47	ga_s2bm_ard_3-2-1_50KKA_2018-06-09_final.stac-item
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50JML_2018-07-03_final.stac-item
2018-07-07 11:21:54	ga_s2bm_ard_3-2-1_51HUC_2018-07-07_final.stac-item
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_49JGJ_2018-07-09_final.stac-item
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_51JTF_2018-07-23_final.stac-item
2018-08-18 12:03:23	ga_s2bm_ard_3-2-1_49JGL_2018-08-18_final.stac-item
2018-08-25 11:52:52	ga_s2bm_ard_3-2-1_50KNC_2018-08-25_final.stac-item
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_51JUH_2018-08-29_final.stac-item
2018-10-07 12:02:45	ga_s2bm_ard_3-2-1_49KGP_2018-10-07_final.stac-item
2018-10-17 12:03:15	ga_s2bm_ard_3-2-1_50KKU_2018-10-17_final.stac-item
2018-10-31 11:39:52	ga_s2bm_ard_3-2-1_50HPK_2018-10-31_final.stac-item
2018-12-20 11:44:19	ga_s2bm_ard_3-2-1_50KRU_2018-12-20_final.stac-item
2019-01-25 12:04:28	ga_s2bm_ard_3-2-1_50KKU_2019-01-25_final.stac-item
2019-02-08 11:46:34	ga_s2bm_ard_3-2-1_50HPK_2019-02-08_final.stac-item
2019-02-21 11:55:46	ga_s2bm_ard_3-2-1_50JKP_2019-02-21_final.stac-item
2019-03-11 11:16:28	ga_s2bm_ard_3-2-1_51HWE_2019-03-11_final.stac-item
2019-05-19 11:45:41	ga_s2bm_ard_3-2-1_50JQP_2019-05-19_final.stac-item
2019-06-04 12:05:05	ga_s2bm_ard_3-2-1_49JHM_2019-06-04_final.stac-item
2019-07-08 11:46:24	ga_s2bm_ard_3-2-1_50JQL_2019-07-08_final.stac-item
2019-10-06 11:46:31	ga_s2bm_ard_3-2-1_50HQK_2019-10-06_final.stac-item
2019-10-12 12:04:32	ga_s2bm_ard_3-2-1_49KGP_2019-10-12_final.stac-item
2019-10-20 11:26:30	ga_s2bm_ard_3-2-1_51HVE_2019-10-20_final.stac-item
2019-11-11 12:06:04	ga_s2bm_ard_3-2-1_50JLM_2019-11-11_final.stac-item
2019-11-21 12:04:25	ga_s2bm_ard_3-2-1_49KHP_2019-11-21_final.stac-item
2019-12-15 11:44:54	ga_s2bm_ard_3-2-1_51JTL_2019-12-15_final.stac-item
2019-12-25 11:46:38	ga_s2bm_ard_3-2-1_50HQJ_2019-12-25_final.stac-item
2019-12-26 11:16:36	ga_s2bm_ard_3-2-1_51HXD_2019-12-26_final.stac-item
2020-01-13 12:14:03	ga_s2bm_ard_3-2-1_49KHQ_2020-01-13_final.stac-item
2020-01-20 12:05:34	ga_s2bm_ard_3-2-1_50JKP_2020-01-20_final.stac-item
2020-01-24 11:46:16	ga_s2bm_ard_3-2-1_50JNL_2020-01-24_final.stac-item
2020-01-31 11:36:39	ga_s2bm_ard_3-2-1_51HTD_2020-01-31_final.stac-item
2020-02-19 12:03:40	ga_s2bm_ard_3-2-1_50KKB_2020-02-19_final.stac-item
2020-02-20 11:36:34	ga_s2bm_ard_3-2-1_50HPK_2020-02-20_final.stac-item
2020-04-16 11:53:27	ga_s2bm_ard_3-2-1_50KMC_2020-04-16_final.stac-item
2020-06-02 11:45:34	ga_s2bm_ard_3-2-1_50JQP_2020-06-02_final.stac-item
2020-06-09 11:36:34	ga_s2bm_ard_3-2-1_51HTE_2020-06-09_final.stac-item
2020-06-09 11:36:50	ga_s2bm_ard_3-2-1_50HQJ_2020-06-09_final.stac-item
2020-06-18 12:04:59	ga_s2bm_ard_3-2-1_49JHM_2020-06-18_final.stac-item
2020-06-18 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2020-06-18_final.stac-item
2020-07-05 11:56:28	ga_s2bm_ard_3-2-1_50JLL_2020-07-05_final.stac-item
2020-07-08 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2020-07-08_final.stac-item
2020-08-10 12:14:45	ga_s2bm_ard_3-2-1_49JGN_2020-08-10_final.stac-item
2020-08-14 11:53:24	ga_s2bm_ard_3-2-1_50KPC_2020-08-14_final.stac-item
2020-09-10 11:45:56	ga_s2bm_ard_3-2-1_50JNN_2020-09-10_final.stac-item
2020-09-26 12:03:26	ga_s2bm_ard_3-2-1_50KMC_2020-09-26_final.stac-item
2020-10-13 11:55:45	ga_s2bm_ard_3-2-1_50JLP_2020-10-13_final.stac-item
2020-10-26 12:06:07	ga_s2bm_ard_3-2-1_50JLM_2020-10-26_final.stac-item
2020-11-05 12:04:45	ga_s2bm_ard_3-2-1_50JKT_2020-11-05_final.stac-item
2020-12-09 11:44:43	ga_s2bm_ard_3-2-1_51JTM_2020-12-09_final.stac-item
2020-12-29 11:46:46	ga_s2bm_ard_3-2-1_50HPJ_2020-12-29_final.stac-item
2021-01-01 11:53:23	ga_s2bm_ard_3-2-1_50KNC_2021-01-01_final.stac-item
2021-01-14 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2021-01-14_final.stac-item
2021-01-27 12:13:54	ga_s2bm_ard_3-2-1_49KHR_2021-01-27_final.stac-item
2021-03-25 12:05:54	ga_s2bm_ard_3-2-1_50JKN_2021-03-25_final.stac-item
2021-04-05 11:36:40	ga_s2bm_ard_3-2-1_51HUD_2021-04-05_final.stac-item
2021-06-17 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2021-06-17_final.stac-item
2021-07-03 12:04:29	ga_s2bm_ard_3-2-1_49KHP_2021-07-03_final.stac-item
2021-07-10 11:57:22	ga_s2bm_ard_3-2-1_50HMG_2021-07-10_final
2021-07-14 11:36:01	ga_s2bm_ard_3-2-1_51JUG_2021-07-14_final.stac-item
2021-07-20 11:53:23	ga_s2bm_ard_3-2-1_50KPC_2021-07-20_final.stac-item
2021-07-30 11:55:29	ga_s2bm_ard_3-2-1_50JLQ_2021-07-30_final.stac-item
2021-08-03 11:36:21	ga_s2bm_ard_3-2-1_50JQL_2021-08-03_final.stac-item
2021-09-15 11:46:39	ga_s2bm_ard_3-2-1_50HQJ_2021-09-15_final.stac-item
2021-10-28 11:53:22	ga_s2bm_ard_3-2-1_50KPC_2021-10-28_final.stac-item
2021-11-04 11:43:22	ga_s2bm_ard_3-2-1_50KQC_2021-11-04_final.stac-item
2021-11-21 11:34:29	ga_s2bm_ard_3-2-1_51JUN_2021-11-21_final.stac-item
2021-12-07 11:55:54	ga_s2bm_ard_3-2-1_50JKN_2021-12-07_final.stac-item
2022-01-04 11:16:37	ga_s2bm_ard_3-2-1_51HXD_2022-01-04_final.stac-item
2022-01-06 11:55:52	ga_s2bm_ard_3-2-1_50JLN_2022-01-06_final.stac-item
2022-03-07 11:52:32	ga_s2bm_ard_3-2-1_50KQF_2022-03-07_final
2022-04-26 11:56:05	ga_s2bm_ard_3-2-1_50JLM_2022-04-26_final.stac-item
2022-04-29 12:04:34	ga_s2bm_ard_3-2-1_49JGN_2022-04-29_final.stac-item
2022-05-02 12:13:49	ga_s2bm_ard_3-2-1_49KHR_2022-05-02_final.stac-item
2022-05-09 12:04:25	ga_s2bm_ard_3-2-1_49KHP_2022-05-09_final.stac-item
2022-06-19 11:35:52	ga_s2bm_ard_3-2-1_51JTH_2022-06-19_final.stac-item
2022-09-01 11:16:24	ga_s2bm_ard_3-2-1_51HYE_2022-09-01_final.stac-item
2022-09-13 11:56:42	ga_s2bm_ard_3-2-1_50HLK_2022-09-13_final.stac-item
2022-10-19 12:13:53	ga_s2bm_ard_3-2-1_50KKA_2022-10-19_final.stac-item
2022-11-30 11:16:42	ga_s2bm_ard_3-2-1_51HWD_2022-11-30_final.stac-item
2022-12-19 11:44:30	ga_s2bm_ard_3-2-1_51JTN_2022-12-19_final.stac-item
2023-01-21 11:54:42	ga_s2bm_ard_3-2-1_50JLT_2023-01-21_final.stac-item
2023-01-25 11:37:15	ga_s2bm_ard_3-2-1_50HQG_2023-01-25_final
2023-01-31 11:56:52	ga_s2bm_ard_3-2-1_50HLJ_2023-01-31_final.stac-item
2023-03-06 11:36:55	ga_s2bm_ard_3-2-1_50HPJ_2023-03-06_final
2023-04-12 11:26:33	ga_s2bm_ard_3-2-1_51HUE_2023-04-12_final
2023-06-07 11:46:20	ga_s2bm_ard_3-2-1_50JQL_2023-06-07_final
2023-06-23 12:04:03	ga_s2bm_ard_3-2-1_50KKA_2023-06-23_final
2023-07-03 12:04:38	ga_s2bm_ard_3-2-1_50KKU_2023-07-03_final
2023-09-11 12:05:47	ga_s2bm_ard_3-2-1_49JGJ_2023-09-11_final
2023-10-01 12:04:34	ga_s2bm_ard_3-2-1_49KHP_2023-10-01_final
2023-11-04 11:44:19	ga_s2bm_ard_3-2-1_50KRU_2023-11-04_final
2023-11-20 12:04:36	ga_s2bm_ard_3-2-1_50JLT_2023-11-20_final
2023-11-27 11:53:13	ga_s2bm_ard_3-2-1_50KQC_2023-11-27_final
2023-11-30 12:04:39	ga_s2bm_ard_3-2-1_49JHN_2023-11-30_final
2024-01-12 12:13:56	ga_s2bm_ard_3-2-1_49KGR_2024-01-12_final
2024-01-19 12:03:43	ga_s2bm_ard_3-2-1_50KKB_2024-01-19_final
2024-02-29 11:36:59	ga_s2bm_ard_3-2-1_51HTC_2024-02-29_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