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
2019-04-26 09:55:50	ga_s2bm_ard_3-2-1_55HEE_2019-04-26_final.stac-item
2019-04-26 09:55:54	ga_s2bm_ard_3-2-1_55HDE_2019-04-26_final.stac-item
2019-04-26 09:55:57	ga_s2bm_ard_3-2-1_55HCE_2019-04-26_final.stac-item
2019-04-26 09:56:01	ga_s2bm_ard_3-2-1_55HBE_2019-04-26_final.stac-item
2019-04-26 09:56:04	ga_s2bm_ard_3-2-1_54HYK_2019-04-26_final.stac-item
2019-04-26 09:56:12	ga_s2bm_ard_3-2-1_55HCD_2019-04-26_final.stac-item
2019-04-26 09:56:15	ga_s2bm_ard_3-2-1_55HBD_2019-04-26_final.stac-item
2019-04-26 09:56:17	ga_s2bm_ard_3-2-1_54HYJ_2019-04-26_final.stac-item
2019-04-30 11:16:27	ga_s2bm_ard_3-2-1_52HBK_2019-04-30_final.stac-item
2019-04-30 11:16:30	ga_s2bm_ard_3-2-1_51HYE_2019-04-30_final.stac-item
2019-04-30 11:16:34	ga_s2bm_ard_3-2-1_51HXE_2019-04-30_final.stac-item
2019-04-30 11:16:38	ga_s2bm_ard_3-2-1_51HWE_2019-04-30_final.stac-item
2019-04-30 11:16:44	ga_s2bm_ard_3-2-1_51HYD_2019-04-30_final.stac-item
2019-04-30 11:16:48	ga_s2bm_ard_3-2-1_51HXD_2019-04-30_final.stac-item
2019-05-02 10:16:06	ga_s2bm_ard_3-2-1_54HVK_2019-05-02_final.stac-item
2019-05-02 10:16:10	ga_s2bm_ard_3-2-1_54HUK_2019-05-02_final.stac-item
2019-05-06 09:55:51	ga_s2bm_ard_3-2-1_55HEE_2019-05-06_final.stac-item
2019-05-06 09:55:55	ga_s2bm_ard_3-2-1_55HDE_2019-05-06_final.stac-item
2019-05-06 09:55:58	ga_s2bm_ard_3-2-1_55HCE_2019-05-06_final.stac-item
2019-05-06 09:56:02	ga_s2bm_ard_3-2-1_55HBE_2019-05-06_final.stac-item
2019-05-06 09:56:05	ga_s2bm_ard_3-2-1_54HYK_2019-05-06_final.stac-item
2019-05-06 09:56:13	ga_s2bm_ard_3-2-1_55HCD_2019-05-06_final.stac-item
2019-05-06 09:56:16	ga_s2bm_ard_3-2-1_55HBD_2019-05-06_final.stac-item
2019-05-06 09:56:18	ga_s2bm_ard_3-2-1_54HYJ_2019-05-06_final.stac-item
2019-05-06 11:36:31	ga_s2bm_ard_3-2-1_51HVE_2019-05-06_final.stac-item
2019-05-06 11:36:36	ga_s2bm_ard_3-2-1_51HUE_2019-05-06_final.stac-item
2019-05-06 11:36:40	ga_s2bm_ard_3-2-1_51HTE_2019-05-06_final.stac-item
2019-05-06 11:36:42	ga_s2bm_ard_3-2-1_50HQK_2019-05-06_final.stac-item
2019-05-06 11:36:46	ga_s2bm_ard_3-2-1_50HPK_2019-05-06_final.stac-item
2019-05-06 11:36:51	ga_s2bm_ard_3-2-1_51HUD_2019-05-06_final.stac-item
2019-05-06 11:36:54	ga_s2bm_ard_3-2-1_51HTD_2019-05-06_final.stac-item
2019-05-06 11:36:56	ga_s2bm_ard_3-2-1_50HQJ_2019-05-06_final.stac-item
2019-05-06 11:37:00	ga_s2bm_ard_3-2-1_50HPJ_2019-05-06_final.stac-item
2019-05-07 09:25:48	ga_s2bm_ard_3-2-1_56HMK_2019-05-06_final.stac-item
2019-05-07 09:25:51	ga_s2bm_ard_3-2-1_56HLK_2019-05-06_final.stac-item
2019-05-10 09:35:43	ga_s2bm_ard_3-2-1_56HMK_2019-05-10_final.stac-item
2019-05-10 09:35:47	ga_s2bm_ard_3-2-1_56HLK_2019-05-10_final.stac-item
2019-05-10 09:35:50	ga_s2bm_ard_3-2-1_56HKK_2019-05-10_final.stac-item
2019-05-10 09:35:53	ga_s2bm_ard_3-2-1_55HGE_2019-05-10_final.stac-item
2019-05-10 09:35:58	ga_s2bm_ard_3-2-1_55HFE_2019-05-10_final.stac-item
2019-05-10 09:36:02	ga_s2bm_ard_3-2-1_56HLJ_2019-05-10_final.stac-item
2019-05-10 09:36:05	ga_s2bm_ard_3-2-1_56HKJ_2019-05-10_final.stac-item
2019-05-10 09:36:07	ga_s2bm_ard_3-2-1_55HGD_2019-05-10_final.stac-item
2019-05-10 09:36:11	ga_s2bm_ard_3-2-1_55HFD_2019-05-10_final.stac-item
2019-05-11 10:46:14	ga_s2bm_ard_3-2-1_53HME_2019-05-11_final.stac-item
2019-05-11 10:46:18	ga_s2bm_ard_3-2-1_53HLE_2019-05-11_final.stac-item
2019-05-11 10:46:32	ga_s2bm_ard_3-2-1_53HLD_2019-05-11_final.stac-item
2019-05-12 10:15:58	ga_s2bm_ard_3-2-1_54HXK_2019-05-12_final.stac-item
2019-05-12 10:16:03	ga_s2bm_ard_3-2-1_54HWK_2019-05-12_final.stac-item
2019-05-12 10:16:07	ga_s2bm_ard_3-2-1_54HVK_2019-05-12_final.stac-item
2019-05-12 10:16:10	ga_s2bm_ard_3-2-1_54HUK_2019-05-12_final.stac-item
2019-07-05 09:55:51	ga_s2bm_ard_3-2-1_55HEE_2019-07-05_final.stac-item
2019-07-05 09:55:56	ga_s2bm_ard_3-2-1_55HDE_2019-07-05_final.stac-item
2019-07-05 09:55:59	ga_s2bm_ard_3-2-1_55HCE_2019-07-05_final.stac-item
2019-07-05 09:56:02	ga_s2bm_ard_3-2-1_55HBE_2019-07-05_final.stac-item
2019-07-05 09:56:05	ga_s2bm_ard_3-2-1_54HYK_2019-07-05_final.stac-item
2019-07-05 09:56:14	ga_s2bm_ard_3-2-1_55HCD_2019-07-05_final.stac-item
2019-07-05 09:56:17	ga_s2bm_ard_3-2-1_55HBD_2019-07-05_final.stac-item
2019-07-05 09:56:19	ga_s2bm_ard_3-2-1_54HYJ_2019-07-05_final.stac-item
2019-07-05 11:36:32	ga_s2bm_ard_3-2-1_51HVE_2019-07-05_final.stac-item
2019-07-05 11:36:37	ga_s2bm_ard_3-2-1_51HUE_2019-07-05_final.stac-item
2019-07-05 11:36:40	ga_s2bm_ard_3-2-1_51HTE_2019-07-05_final.stac-item
2019-07-07 10:36:11	ga_s2bm_ard_3-2-1_53HPE_2019-07-07_final.stac-item
2019-07-07 10:36:15	ga_s2bm_ard_3-2-1_53HNE_2019-07-07_final.stac-item
2019-07-07 10:36:19	ga_s2bm_ard_3-2-1_53HME_2019-07-07_final.stac-item
2019-07-07 10:36:25	ga_s2bm_ard_3-2-1_53HLE_2019-07-07_final.stac-item
2019-07-08 10:05:58	ga_s2bm_ard_3-2-1_55HBE_2019-07-08_final.stac-item
2019-07-08 10:06:01	ga_s2bm_ard_3-2-1_54HYK_2019-07-08_final.stac-item
2019-07-08 10:06:04	ga_s2bm_ard_3-2-1_54HXK_2019-07-08_final.stac-item
2019-07-08 10:06:08	ga_s2bm_ard_3-2-1_54HWK_2019-07-08_final.stac-item
2019-07-08 10:06:13	ga_s2bm_ard_3-2-1_55HBD_2019-07-08_final.stac-item
2019-07-08 10:06:15	ga_s2bm_ard_3-2-1_54HYJ_2019-07-08_final.stac-item
2019-07-08 10:06:19	ga_s2bm_ard_3-2-1_54HXJ_2019-07-08_final.stac-item
2019-07-09 09:36:11	ga_s2bm_ard_3-2-1_55HFD_2019-07-09_final.stac-item
2019-07-14 10:26:06	ga_s2bm_ard_3-2-1_54HUK_2019-07-14_final.stac-item
2019-07-14 10:26:10	ga_s2bm_ard_3-2-1_54HTK_2019-07-14_final.stac-item
2019-07-14 10:26:12	ga_s2bm_ard_3-2-1_53HQE_2019-07-14_final.stac-item
2019-07-14 10:26:16	ga_s2bm_ard_3-2-1_53HPE_2019-07-14_final.stac-item
2019-07-15 11:36:32	ga_s2bm_ard_3-2-1_51HVE_2019-07-15_final.stac-item
2019-07-15 11:36:37	ga_s2bm_ard_3-2-1_51HUE_2019-07-15_final.stac-item
2019-07-15 11:36:40	ga_s2bm_ard_3-2-1_51HTE_2019-07-15_final.stac-item
2019-07-15 11:36:43	ga_s2bm_ard_3-2-1_50HQK_2019-07-15_final.stac-item
2019-07-15 11:36:47	ga_s2bm_ard_3-2-1_50HPK_2019-07-15_final.stac-item
2019-07-15 11:36:51	ga_s2bm_ard_3-2-1_51HUD_2019-07-15_final.stac-item
2019-07-15 11:36:55	ga_s2bm_ard_3-2-1_51HTD_2019-07-15_final.stac-item
2019-07-15 11:36:57	ga_s2bm_ard_3-2-1_50HQJ_2019-07-15_final.stac-item
2019-07-15 11:37:01	ga_s2bm_ard_3-2-1_50HPJ_2019-07-15_final.stac-item
2019-07-19 11:16:29	ga_s2bm_ard_3-2-1_52HBK_2019-07-19_final.stac-item
2019-07-19 11:16:31	ga_s2bm_ard_3-2-1_51HYE_2019-07-19_final.stac-item
2019-07-25 09:55:51	ga_s2bm_ard_3-2-1_55HEE_2019-07-25_final.stac-item
2019-07-25 09:55:55	ga_s2bm_ard_3-2-1_55HDE_2019-07-25_final.stac-item
2019-07-25 09:55:59	ga_s2bm_ard_3-2-1_55HCE_2019-07-25_final.stac-item
2019-07-25 09:56:02	ga_s2bm_ard_3-2-1_55HBE_2019-07-25_final.stac-item
2019-07-25 09:56:05	ga_s2bm_ard_3-2-1_54HYK_2019-07-25_final.stac-item
2019-07-25 09:56:13	ga_s2bm_ard_3-2-1_55HCD_2019-07-25_final.stac-item
2019-07-25 09:56:17	ga_s2bm_ard_3-2-1_55HBD_2019-07-25_final.stac-item
2019-07-25 09:56:18	ga_s2bm_ard_3-2-1_54HYJ_2019-07-25_final.stac-item
2023-12-18 11:26:22	ga_s2bm_ard_3-2-1_51HXE_2023-12-18_final
2023-12-18 11:26:26	ga_s2bm_ard_3-2-1_51HWE_2023-12-18_final
2023-12-18 11:26:29	ga_s2bm_ard_3-2-1_51HVE_2023-12-18_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