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
2018-12-20 11:41:10	ga_s2bm_ard_3-2-1_51LVF_2018-12-20_final.stac-item
2018-12-20 11:41:13	ga_s2bm_ard_3-2-1_51LUF_2018-12-20_final.stac-item
2018-12-20 11:41:28	ga_s2bm_ard_3-2-1_51LUE_2018-12-20_final.stac-item
2018-12-23 10:10:36	ga_s2bm_ard_3-2-1_54LZL_2018-12-23_final.stac-item
2018-12-23 10:10:46	ga_s2bm_ard_3-2-1_55LCE_2018-12-23_final.stac-item
2018-12-23 10:10:49	ga_s2bm_ard_3-2-1_55LBE_2018-12-23_final.stac-item
2018-12-23 10:10:50	ga_s2bm_ard_3-2-1_54LZK_2018-12-23_final.stac-item
2018-12-23 11:51:09	ga_s2bm_ard_3-2-1_51LUF_2018-12-23_final.stac-item
2018-12-23 11:51:23	ga_s2bm_ard_3-2-1_51LUE_2018-12-23_final.stac-item
2018-12-26 10:20:32	ga_s2bm_ard_3-2-1_54LZL_2018-12-26_final.stac-item
2018-12-26 10:20:35	ga_s2bm_ard_3-2-1_54LYL_2018-12-26_final.stac-item
2018-12-26 10:20:39	ga_s2bm_ard_3-2-1_54LXL_2018-12-26_final.stac-item
2018-12-26 10:20:42	ga_s2bm_ard_3-2-1_54LWL_2018-12-26_final.stac-item
2018-12-26 10:20:45	ga_s2bm_ard_3-2-1_54LZK_2018-12-26_final.stac-item
2018-12-26 10:20:50	ga_s2bm_ard_3-2-1_54LYK_2018-12-26_final.stac-item
2018-12-26 10:20:53	ga_s2bm_ard_3-2-1_54LXK_2018-12-26_final.stac-item
2018-12-26 10:20:57	ga_s2bm_ard_3-2-1_54LWK_2018-12-26_final.stac-item
2019-02-10 10:40:54	ga_s2bm_ard_3-2-1_53LPF_2019-02-10_final.stac-item
2019-02-10 10:41:09	ga_s2bm_ard_3-2-1_53LPE_2019-02-10_final.stac-item
2019-02-27 10:30:39	ga_s2bm_ard_3-2-1_54LWL_2019-02-27_final.stac-item
2019-08-01 11:21:32	ga_s2bm_ard_3-2-1_52LBK_2019-08-01_final.stac-item
2019-08-01 11:21:33	ga_s2bm_ard_3-2-1_51LZE_2019-08-01_final.stac-item
2019-08-10 11:51:20	ga_s2bm_ard_3-2-1_51LUF_2019-08-10_final.stac-item
2019-08-10 11:51:34	ga_s2bm_ard_3-2-1_51LUE_2019-08-10_final.stac-item
2019-08-18 11:11:04	ga_s2bm_ard_3-2-1_52LGL_2019-08-18_final.stac-item
2019-08-18 11:11:07	ga_s2bm_ard_3-2-1_52LFL_2019-08-18_final.stac-item
2019-08-18 11:11:18	ga_s2bm_ard_3-2-1_52LGK_2019-08-18_final.stac-item
2019-08-18 11:11:22	ga_s2bm_ard_3-2-1_52LFK_2019-08-18_final.stac-item
2019-12-31 10:20:31	ga_s2bm_ard_3-2-1_54LZL_2019-12-31_final.stac-item
2019-12-31 10:20:34	ga_s2bm_ard_3-2-1_54LYL_2019-12-31_final.stac-item
2019-12-31 10:20:37	ga_s2bm_ard_3-2-1_54LXL_2019-12-31_final.stac-item
2019-12-31 10:20:40	ga_s2bm_ard_3-2-1_54LWL_2019-12-31_final.stac-item
2019-12-31 10:20:44	ga_s2bm_ard_3-2-1_54LZK_2019-12-31_final.stac-item
2019-12-31 10:20:49	ga_s2bm_ard_3-2-1_54LYK_2019-12-31_final.stac-item
2019-12-31 10:20:52	ga_s2bm_ard_3-2-1_54LXK_2019-12-31_final.stac-item
2019-12-31 10:20:55	ga_s2bm_ard_3-2-1_54LWK_2019-12-31_final.stac-item
2020-01-01 11:31:10	ga_s2bm_ard_3-2-1_52LBK_2020-01-01_final.stac-item
2020-01-01 11:31:26	ga_s2bm_ard_3-2-1_51LWE_2020-01-01_final.stac-item
2020-01-07 10:10:35	ga_s2bm_ard_3-2-1_54LZL_2020-01-07_final.stac-item
2020-01-07 10:10:45	ga_s2bm_ard_3-2-1_55LCE_2020-01-07_final.stac-item
2020-01-07 10:10:48	ga_s2bm_ard_3-2-1_55LBE_2020-01-07_final.stac-item
2020-01-07 10:10:50	ga_s2bm_ard_3-2-1_54LZK_2020-01-07_final.stac-item
2020-01-10 10:20:30	ga_s2bm_ard_3-2-1_54LZL_2020-01-10_final.stac-item
2020-01-10 10:20:34	ga_s2bm_ard_3-2-1_54LYL_2020-01-10_final.stac-item
2020-01-10 10:20:37	ga_s2bm_ard_3-2-1_54LXL_2020-01-10_final.stac-item
2020-01-10 10:20:40	ga_s2bm_ard_3-2-1_54LWL_2020-01-10_final.stac-item
2020-01-10 10:20:44	ga_s2bm_ard_3-2-1_54LZK_2020-01-10_final.stac-item
2020-01-10 10:20:48	ga_s2bm_ard_3-2-1_54LYK_2020-01-10_final.stac-item
2020-01-10 10:20:52	ga_s2bm_ard_3-2-1_54LXK_2020-01-10_final.stac-item
2020-01-10 10:20:55	ga_s2bm_ard_3-2-1_54LWK_2020-01-10_final.stac-item
2020-01-11 11:31:08	ga_s2bm_ard_3-2-1_52LBK_2020-01-11_final.stac-item
2020-01-11 11:31:09	ga_s2bm_ard_3-2-1_51LZE_2020-01-11_final.stac-item
2020-01-11 11:31:10	ga_s2bm_ard_3-2-1_51LYE_2020-01-11_final.stac-item
2020-01-11 11:31:13	ga_s2bm_ard_3-2-1_52LBK_2020-01-11_final.stac-item
2020-01-11 11:31:15	ga_s2bm_ard_3-2-1_51LZE_2020-01-11_final.stac-item
2020-01-11 11:31:19	ga_s2bm_ard_3-2-1_51LYE_2020-01-11_final.stac-item
2020-01-11 11:31:25	ga_s2bm_ard_3-2-1_51LWE_2020-01-11_final.stac-item
2020-01-12 11:00:43	ga_s2bm_ard_3-2-1_53LMF_2020-01-12_final.stac-item
2020-01-12 11:00:49	ga_s2bm_ard_3-2-1_53LLF_2020-01-12_final.stac-item
2020-01-12 11:00:52	ga_s2bm_ard_3-2-1_53LKF_2020-01-12_final.stac-item
2020-01-12 11:00:54	ga_s2bm_ard_3-2-1_52LHL_2020-01-12_final.stac-item
2020-01-12 11:00:57	ga_s2bm_ard_3-2-1_52LGL_2020-01-12_final.stac-item
2020-01-12 11:01:03	ga_s2bm_ard_3-2-1_53LLE_2020-01-12_final.stac-item
2020-01-12 11:01:07	ga_s2bm_ard_3-2-1_53LKE_2020-01-12_final.stac-item
2020-01-12 11:01:08	ga_s2bm_ard_3-2-1_52LHK_2020-01-12_final.stac-item
2020-01-12 11:01:12	ga_s2bm_ard_3-2-1_52LGK_2020-01-12_final.stac-item
2020-01-15 11:10:54	ga_s2bm_ard_3-2-1_52LGL_2020-01-15_final.stac-item
2020-01-15 11:10:56	ga_s2bm_ard_3-2-1_52LFL_2020-01-15_final.stac-item
2020-01-15 11:11:06	ga_s2bm_ard_3-2-1_52LGK_2020-01-15_final.stac-item
2020-01-15 11:11:10	ga_s2bm_ard_3-2-1_52LFK_2020-01-15_final.stac-item
2020-01-26 10:40:44	ga_s2bm_ard_3-2-1_53LQF_2020-01-26_final
2020-01-26 10:40:47	ga_s2bm_ard_3-2-1_53LPF_2020-01-26_final.stac-item
2020-01-26 10:40:58	ga_s2bm_ard_3-2-1_53LQE_2020-01-26_final
2020-01-26 10:41:02	ga_s2bm_ard_3-2-1_53LPE_2020-01-26_final.stac-item
2020-02-04 11:10:51	ga_s2bm_ard_3-2-1_52LGL_2020-02-04_final.stac-item
2020-02-04 11:10:55	ga_s2bm_ard_3-2-1_52LFL_2020-02-04_final.stac-item
2020-02-04 11:11:06	ga_s2bm_ard_3-2-1_52LGK_2020-02-04_final.stac-item
2020-02-04 11:11:09	ga_s2bm_ard_3-2-1_52LFK_2020-02-04_final.stac-item
2020-02-13 11:41:10	ga_s2bm_ard_3-2-1_51LVF_2020-02-13_final.stac-item
2020-02-13 11:41:13	ga_s2bm_ard_3-2-1_51LUF_2020-02-13_final.stac-item
2020-02-13 11:41:18	ga_s2bm_ard_3-2-1_51LWE_2020-02-13_final.stac-item
2020-02-13 11:41:22	ga_s2bm_ard_3-2-1_51LUE_2020-02-13_final.stac-item
2020-02-13 11:41:22	ga_s2bm_ard_3-2-1_51LUF_2020-02-13_final.stac-item
2020-02-13 11:41:29	ga_s2bm_ard_3-2-1_51LUE_2020-02-13_final.stac-item
2020-02-24 11:10:54	ga_s2bm_ard_3-2-1_52LGL_2020-02-24_final.stac-item
2020-02-24 11:10:58	ga_s2bm_ard_3-2-1_52LFL_2020-02-24_final.stac-item
2020-02-24 11:11:09	ga_s2bm_ard_3-2-1_52LGK_2020-02-24_final.stac-item
2020-02-24 11:11:13	ga_s2bm_ard_3-2-1_52LFK_2020-02-24_final.stac-item
2020-02-28 10:50:46	ga_s2bm_ard_3-2-1_53LPF_2020-02-28_final.stac-item
2020-02-28 10:50:50	ga_s2bm_ard_3-2-1_53LNF_2020-02-28_final.stac-item
2020-02-28 10:50:53	ga_s2bm_ard_3-2-1_53LMF_2020-02-28_final.stac-item
2020-02-28 10:50:57	ga_s2bm_ard_3-2-1_53LLF_2020-02-28_final.stac-item
2020-02-28 10:51:01	ga_s2bm_ard_3-2-1_53LPE_2020-02-28_final.stac-item
2020-02-28 10:51:05	ga_s2bm_ard_3-2-1_53LNE_2020-02-28_final.stac-item
2020-02-28 10:51:11	ga_s2bm_ard_3-2-1_53LLE_2020-02-28_final.stac-item
2020-03-08 11:21:22	ga_s2bm_ard_3-2-1_52LBK_2020-03-08_final.stac-item
2020-03-08 11:21:23	ga_s2bm_ard_3-2-1_51LZE_2020-03-08_final.stac-item
2020-03-11 11:31:16	ga_s2bm_ard_3-2-1_52LBK_2020-03-11_final.stac-item
2020-03-11 11:31:18	ga_s2bm_ard_3-2-1_51LZE_2020-03-11_final.stac-item
2020-03-11 11:31:22	ga_s2bm_ard_3-2-1_51LYE_2020-03-11_final.stac-item

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