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
2019-06-16 11:05:38	ga_s2bm_ard_3-2-1_52JEN_2019-06-16_final.stac-item
2019-06-16 11:05:41	ga_s2bm_ard_3-2-1_52JDN_2019-06-16_final.stac-item
2019-06-16 11:05:52	ga_s2bm_ard_3-2-1_52JEM_2019-06-16_final.stac-item
2019-06-16 11:05:56	ga_s2bm_ard_3-2-1_52JDM_2019-06-16_final.stac-item
2019-06-16 11:06:07	ga_s2bm_ard_3-2-1_52JEL_2019-06-16_final.stac-item
2019-06-16 11:06:11	ga_s2bm_ard_3-2-1_52JDL_2019-06-16_final.stac-item
2019-08-05 11:05:24	ga_s2bm_ard_3-2-1_52JEP_2019-08-05_final.stac-item
2019-08-05 11:05:27	ga_s2bm_ard_3-2-1_52JDP_2019-08-05_final.stac-item
2019-08-05 11:05:35	ga_s2bm_ard_3-2-1_52JEN_2019-08-05_final.stac-item
2019-08-05 11:05:37	ga_s2bm_ard_3-2-1_52JDN_2019-08-05_final.stac-item
2019-08-05 11:05:42	ga_s2bm_ard_3-2-1_52JEN_2019-08-05_final.stac-item
2019-08-05 11:05:43	ga_s2bm_ard_3-2-1_52JDN_2019-08-05_final.stac-item
2019-08-05 11:05:52	ga_s2bm_ard_3-2-1_52JEM_2019-08-05_final.stac-item
2019-08-05 11:05:56	ga_s2bm_ard_3-2-1_52JDM_2019-08-05_final.stac-item
2019-08-05 11:06:07	ga_s2bm_ard_3-2-1_52JEL_2019-08-05_final.stac-item
2019-08-05 11:06:11	ga_s2bm_ard_3-2-1_52JDL_2019-08-05_final.stac-item
2019-08-15 11:05:22	ga_s2bm_ard_3-2-1_52JEP_2019-08-15_final.stac-item
2019-08-15 11:05:26	ga_s2bm_ard_3-2-1_52JDP_2019-08-15_final.stac-item
2019-08-15 11:05:37	ga_s2bm_ard_3-2-1_52JEN_2019-08-15_final.stac-item
2019-08-15 11:05:40	ga_s2bm_ard_3-2-1_52JDN_2019-08-15_final.stac-item
2019-08-15 11:05:51	ga_s2bm_ard_3-2-1_52JEM_2019-08-15_final.stac-item
2019-08-15 11:05:54	ga_s2bm_ard_3-2-1_52JDM_2019-08-15_final.stac-item
2019-08-15 11:05:59	ga_s2bm_ard_3-2-1_52JEL_2019-08-15_final.stac-item
2019-08-15 11:05:59	ga_s2bm_ard_3-2-1_52JEM_2019-08-15_final.stac-item
2019-08-15 11:06:01	ga_s2bm_ard_3-2-1_52JDM_2019-08-15_final.stac-item
2019-08-15 11:06:01	ga_s2bm_ard_3-2-1_52JDL_2019-08-15_final.stac-item
2019-08-15 11:06:06	ga_s2bm_ard_3-2-1_52JEL_2019-08-15_final.stac-item
2019-08-15 11:06:09	ga_s2bm_ard_3-2-1_52JDL_2019-08-15_final.stac-item
2021-08-04 11:03:36	ga_s2bm_ard_3-2-1_52KEA_2021-08-04_final.stac-item
2021-08-04 11:03:50	ga_s2bm_ard_3-2-1_52KEV_2021-08-04_final.stac-item
2021-08-04 11:03:55	ga_s2bm_ard_3-2-1_52KDV_2021-08-04_final.stac-item
2021-08-04 11:04:05	ga_s2bm_ard_3-2-1_52KEU_2021-08-04_final.stac-item
2021-08-04 11:04:08	ga_s2bm_ard_3-2-1_52KDU_2021-08-04_final.stac-item
2021-08-04 11:04:19	ga_s2bm_ard_3-2-1_52JET_2021-08-04_final.stac-item
2021-08-04 11:04:22	ga_s2bm_ard_3-2-1_52JDT_2021-08-04_final.stac-item
2021-08-04 11:04:34	ga_s2bm_ard_3-2-1_52JES_2021-08-04_final.stac-item
2021-08-04 11:04:37	ga_s2bm_ard_3-2-1_52JDS_2021-08-04_final.stac-item
2021-08-04 11:04:48	ga_s2bm_ard_3-2-1_52JER_2021-08-04_final.stac-item
2021-08-04 11:04:52	ga_s2bm_ard_3-2-1_52JDR_2021-08-04_final.stac-item
2021-08-04 11:05:03	ga_s2bm_ard_3-2-1_52JEQ_2021-08-04_final.stac-item
2021-08-04 11:05:06	ga_s2bm_ard_3-2-1_52JDQ_2021-08-04_final.stac-item
2021-08-04 11:05:17	ga_s2bm_ard_3-2-1_52JEP_2021-08-04_final.stac-item
2021-08-04 11:05:21	ga_s2bm_ard_3-2-1_52JDP_2021-08-04_final.stac-item
2021-08-04 11:05:32	ga_s2bm_ard_3-2-1_52JEN_2021-08-04_final.stac-item
2021-08-04 11:05:35	ga_s2bm_ard_3-2-1_52JDN_2021-08-04_final.stac-item
2021-08-04 11:05:46	ga_s2bm_ard_3-2-1_52JEM_2021-08-04_final.stac-item
2021-08-04 11:05:50	ga_s2bm_ard_3-2-1_52JDM_2021-08-04_final.stac-item
2021-08-04 11:06:01	ga_s2bm_ard_3-2-1_52JEL_2021-08-04_final.stac-item
2021-08-04 11:06:04	ga_s2bm_ard_3-2-1_52JDL_2021-08-04_final.stac-item
2021-08-04 11:06:19	ga_s2bm_ard_3-2-1_52HDK_2021-08-04_final
2021-08-17 11:11:04	ga_s2bm_ard_3-2-1_52LEL_2021-08-17_final
2021-08-17 11:11:19	ga_s2bm_ard_3-2-1_52LEK_2021-08-17_final
2021-08-17 11:11:34	ga_s2bm_ard_3-2-1_52LEJ_2021-08-17_final.stac-item
2021-08-17 11:11:37	ga_s2bm_ard_3-2-1_52LDJ_2021-08-17_final.stac-item
2021-08-17 11:11:48	ga_s2bm_ard_3-2-1_52LEH_2021-08-17_final.stac-item
2021-08-17 11:11:51	ga_s2bm_ard_3-2-1_52LDH_2021-08-17_final.stac-item
2021-08-17 11:12:03	ga_s2bm_ard_3-2-1_52KEG_2021-08-17_final.stac-item
2021-08-17 11:12:06	ga_s2bm_ard_3-2-1_52KDG_2021-08-17_final.stac-item
2021-08-17 11:12:17	ga_s2bm_ard_3-2-1_52KEF_2021-08-17_final.stac-item
2021-08-17 11:12:20	ga_s2bm_ard_3-2-1_52KDF_2021-08-17_final.stac-item
2021-08-17 11:12:32	ga_s2bm_ard_3-2-1_52KEE_2021-08-17_final.stac-item
2021-08-17 11:12:35	ga_s2bm_ard_3-2-1_52KDE_2021-08-17_final.stac-item
2021-08-17 11:12:46	ga_s2bm_ard_3-2-1_52KED_2021-08-17_final.stac-item
2021-08-17 11:12:49	ga_s2bm_ard_3-2-1_52KDD_2021-08-17_final.stac-item
2021-08-17 11:13:00	ga_s2bm_ard_3-2-1_52KEC_2021-08-17_final.stac-item
2021-08-17 11:13:04	ga_s2bm_ard_3-2-1_52KDC_2021-08-17_final.stac-item
2021-08-17 11:13:15	ga_s2bm_ard_3-2-1_52KEB_2021-08-17_final.stac-item
2021-08-17 11:13:19	ga_s2bm_ard_3-2-1_52KDB_2021-08-17_final.stac-item
2021-08-17 11:13:30	ga_s2bm_ard_3-2-1_52KEA_2021-08-17_final.stac-item
2021-08-17 11:13:33	ga_s2bm_ard_3-2-1_52KDA_2021-08-17_final.stac-item
2021-08-17 11:13:44	ga_s2bm_ard_3-2-1_52KEV_2021-08-17_final.stac-item
2021-08-17 11:13:48	ga_s2bm_ard_3-2-1_52KDV_2021-08-17_final.stac-item
2021-08-17 11:13:57	ga_s2bm_ard_3-2-1_52KEU_2021-08-17_final.stac-item
2021-08-17 11:14:02	ga_s2bm_ard_3-2-1_52KDU_2021-08-17_final.stac-item
2021-08-17 11:14:07	ga_s2bm_ard_3-2-1_52JET_2021-08-17_final.stac-item
2021-08-17 11:14:16	ga_s2bm_ard_3-2-1_52JDT_2021-08-17_final.stac-item
2021-08-24 11:03:48	ga_s2bm_ard_3-2-1_52KEV_2021-08-24_final.stac-item
2021-08-24 11:03:52	ga_s2bm_ard_3-2-1_52KDV_2021-08-24_final.stac-item
2021-08-24 11:04:02	ga_s2bm_ard_3-2-1_52KEU_2021-08-24_final.stac-item
2021-08-24 11:04:05	ga_s2bm_ard_3-2-1_52KDU_2021-08-24_final.stac-item
2021-08-24 11:04:17	ga_s2bm_ard_3-2-1_52JET_2021-08-24_final.stac-item
2021-08-24 11:04:20	ga_s2bm_ard_3-2-1_52JDT_2021-08-24_final.stac-item
2021-08-24 11:04:31	ga_s2bm_ard_3-2-1_52JES_2021-08-24_final.stac-item
2021-08-24 11:04:34	ga_s2bm_ard_3-2-1_52JDS_2021-08-24_final.stac-item
2021-08-24 11:04:46	ga_s2bm_ard_3-2-1_52JER_2021-08-24_final.stac-item
2021-08-24 11:04:49	ga_s2bm_ard_3-2-1_52JDR_2021-08-24_final.stac-item
2021-08-24 11:05:00	ga_s2bm_ard_3-2-1_52JEQ_2021-08-24_final.stac-item
2021-08-24 11:05:03	ga_s2bm_ard_3-2-1_52JDQ_2021-08-24_final.stac-item
2021-08-24 11:05:15	ga_s2bm_ard_3-2-1_52JEP_2021-08-24_final.stac-item
2021-08-24 11:05:18	ga_s2bm_ard_3-2-1_52JDP_2021-08-24_final.stac-item
2021-08-24 11:05:29	ga_s2bm_ard_3-2-1_52JEN_2021-08-24_final.stac-item
2021-08-24 11:05:33	ga_s2bm_ard_3-2-1_52JDN_2021-08-24_final.stac-item
2021-08-24 11:05:43	ga_s2bm_ard_3-2-1_52JEM_2021-08-24_final.stac-item
2021-08-24 11:05:47	ga_s2bm_ard_3-2-1_52JDM_2021-08-24_final.stac-item
2021-08-24 11:05:58	ga_s2bm_ard_3-2-1_52JEL_2021-08-24_final.stac-item
2021-08-24 11:06:02	ga_s2bm_ard_3-2-1_52JDL_2021-08-24_final.stac-item
2021-08-24 11:06:16	ga_s2bm_ard_3-2-1_52HDK_2021-08-24_final
2021-10-29 11:20:59	ga_s2bm_ard_3-2-1_52LEL_2021-10-29_final
2021-11-08 11:20:58	ga_s2bm_ard_3-2-1_52LEL_2021-11-08_final
2021-11-18 11:20:55	ga_s2bm_ard_3-2-1_52LEL_2021-11-18_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