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
2019-08-22 10:55:22	ga_s2bm_ard_3-2-1_52JFP_2019-08-22_final.stac-item
2019-08-22 10:55:27	ga_s2bm_ard_3-2-1_52JEP_2019-08-22_final.stac-item
2019-08-22 10:55:36	ga_s2bm_ard_3-2-1_52JFN_2019-08-22_final.stac-item
2019-08-22 10:55:40	ga_s2bm_ard_3-2-1_52JEN_2019-08-22_final.stac-item
2019-08-22 10:55:51	ga_s2bm_ard_3-2-1_52JFM_2019-08-22_final.stac-item
2019-08-22 10:55:54	ga_s2bm_ard_3-2-1_52JEM_2019-08-22_final.stac-item
2019-08-22 10:56:05	ga_s2bm_ard_3-2-1_52JFL_2019-08-22_final.stac-item
2019-08-22 10:56:09	ga_s2bm_ard_3-2-1_52JEL_2019-08-22_final.stac-item
2019-10-14 11:02:34	ga_s2bm_ard_3-2-1_52KFE_2019-10-14_final.stac-item
2019-10-14 11:02:49	ga_s2bm_ard_3-2-1_52KFD_2019-10-14_final.stac-item
2019-10-14 11:02:53	ga_s2bm_ard_3-2-1_52KED_2019-10-14_final.stac-item
2019-10-14 11:03:03	ga_s2bm_ard_3-2-1_52KFC_2019-10-14_final.stac-item
2019-10-14 11:03:06	ga_s2bm_ard_3-2-1_52KEC_2019-10-14_final.stac-item
2019-10-14 11:03:18	ga_s2bm_ard_3-2-1_52KFB_2019-10-14_final.stac-item
2019-10-14 11:03:21	ga_s2bm_ard_3-2-1_52KEB_2019-10-14_final.stac-item
2019-10-14 11:03:32	ga_s2bm_ard_3-2-1_52KFA_2019-10-14_final.stac-item
2019-10-14 11:03:36	ga_s2bm_ard_3-2-1_52KEA_2019-10-14_final.stac-item
2019-10-14 11:03:47	ga_s2bm_ard_3-2-1_52KFV_2019-10-14_final.stac-item
2019-10-14 11:03:50	ga_s2bm_ard_3-2-1_52KEV_2019-10-14_final.stac-item
2019-10-14 11:04:01	ga_s2bm_ard_3-2-1_52KFU_2019-10-14_final.stac-item
2019-10-14 11:04:04	ga_s2bm_ard_3-2-1_52KEU_2019-10-14_final.stac-item
2019-10-14 11:04:16	ga_s2bm_ard_3-2-1_52JFT_2019-10-14_final.stac-item
2019-10-14 11:04:19	ga_s2bm_ard_3-2-1_52JET_2019-10-14_final.stac-item
2019-10-14 11:04:30	ga_s2bm_ard_3-2-1_52JFS_2019-10-14_final.stac-item
2019-10-14 11:04:34	ga_s2bm_ard_3-2-1_52JES_2019-10-14_final.stac-item
2019-10-14 11:04:44	ga_s2bm_ard_3-2-1_52JFR_2019-10-14_final.stac-item
2019-10-14 11:04:48	ga_s2bm_ard_3-2-1_52JER_2019-10-14_final.stac-item
2019-10-24 11:02:34	ga_s2bm_ard_3-2-1_52KFE_2019-10-24_final.stac-item
2019-10-24 11:02:48	ga_s2bm_ard_3-2-1_52KFD_2019-10-24_final.stac-item
2019-10-24 11:02:53	ga_s2bm_ard_3-2-1_52KED_2019-10-24_final.stac-item
2019-10-24 11:03:03	ga_s2bm_ard_3-2-1_52KFC_2019-10-24_final.stac-item
2019-11-03 11:02:52	ga_s2bm_ard_3-2-1_52KED_2019-11-03_final.stac-item
2019-11-03 11:03:05	ga_s2bm_ard_3-2-1_52KEC_2019-11-03_final.stac-item
2019-11-03 11:03:20	ga_s2bm_ard_3-2-1_52KEB_2019-11-03_final.stac-item
2019-11-03 11:03:31	ga_s2bm_ard_3-2-1_52KFA_2019-11-03_final.stac-item
2019-11-03 11:03:35	ga_s2bm_ard_3-2-1_52KEA_2019-11-03_final.stac-item
2019-11-03 11:03:49	ga_s2bm_ard_3-2-1_52KEV_2019-11-03_final.stac-item
2019-11-03 11:04:04	ga_s2bm_ard_3-2-1_52KEU_2019-11-03_final.stac-item
2019-11-03 11:04:15	ga_s2bm_ard_3-2-1_52JFT_2019-11-03_final.stac-item
2019-11-03 11:04:18	ga_s2bm_ard_3-2-1_52JET_2019-11-03_final.stac-item
2019-11-03 11:04:29	ga_s2bm_ard_3-2-1_52JFS_2019-11-03_final.stac-item
2019-11-03 11:04:33	ga_s2bm_ard_3-2-1_52JES_2019-11-03_final.stac-item
2019-11-03 11:04:43	ga_s2bm_ard_3-2-1_52JFR_2019-11-03_final.stac-item
2019-11-03 11:04:47	ga_s2bm_ard_3-2-1_52JER_2019-11-03_final.stac-item
2020-06-10 11:02:35	ga_s2bm_ard_3-2-1_52KFE_2020-06-10_final.stac-item
2020-06-10 11:02:50	ga_s2bm_ard_3-2-1_52KFD_2020-06-10_final.stac-item
2020-06-10 11:02:54	ga_s2bm_ard_3-2-1_52KED_2020-06-10_final.stac-item
2020-06-10 11:03:04	ga_s2bm_ard_3-2-1_52KFC_2020-06-10_final.stac-item
2020-06-10 11:03:07	ga_s2bm_ard_3-2-1_52KEC_2020-06-10_final.stac-item
2020-06-10 11:03:19	ga_s2bm_ard_3-2-1_52KFB_2020-06-10_final.stac-item
2020-06-10 11:03:22	ga_s2bm_ard_3-2-1_52KEB_2020-06-10_final.stac-item
2020-06-10 11:03:33	ga_s2bm_ard_3-2-1_52KFA_2020-06-10_final.stac-item
2020-06-10 11:03:37	ga_s2bm_ard_3-2-1_52KEA_2020-06-10_final.stac-item
2020-06-10 11:03:48	ga_s2bm_ard_3-2-1_52KFV_2020-06-10_final.stac-item
2020-06-10 11:03:51	ga_s2bm_ard_3-2-1_52KEV_2020-06-10_final.stac-item
2020-06-10 11:04:02	ga_s2bm_ard_3-2-1_52KFU_2020-06-10_final.stac-item
2020-06-10 11:04:06	ga_s2bm_ard_3-2-1_52KEU_2020-06-10_final.stac-item
2020-06-10 11:04:17	ga_s2bm_ard_3-2-1_52JFT_2020-06-10_final.stac-item
2020-06-10 11:04:20	ga_s2bm_ard_3-2-1_52JET_2020-06-10_final.stac-item
2020-06-10 11:04:31	ga_s2bm_ard_3-2-1_52JFS_2020-06-10_final.stac-item
2020-06-10 11:04:35	ga_s2bm_ard_3-2-1_52JES_2020-06-10_final.stac-item
2020-06-10 11:04:45	ga_s2bm_ard_3-2-1_52JFR_2020-06-10_final.stac-item
2020-06-10 11:04:49	ga_s2bm_ard_3-2-1_52JER_2020-06-10_final.stac-item
2020-06-20 11:02:36	ga_s2bm_ard_3-2-1_52KFE_2020-06-20_final.stac-item
2020-06-23 11:10:28	ga_s2bm_ard_3-2-1_52LFN_2020-06-23_final
2020-06-23 11:10:35	ga_s2bm_ard_3-2-1_52LFN_2020-06-23_final
2020-06-23 11:11:04	ga_s2bm_ard_3-2-1_52LFL_2020-06-23_final.stac-item
2020-06-23 11:11:18	ga_s2bm_ard_3-2-1_52LFK_2020-06-23_final.stac-item
2020-06-23 11:11:33	ga_s2bm_ard_3-2-1_52LFJ_2020-06-23_final.stac-item
2020-06-23 11:11:47	ga_s2bm_ard_3-2-1_52LFH_2020-06-23_final.stac-item
2020-06-23 11:12:01	ga_s2bm_ard_3-2-1_52KFG_2020-06-23_final.stac-item
2020-06-23 11:12:16	ga_s2bm_ard_3-2-1_52KFF_2020-06-23_final.stac-item
2020-06-23 11:12:31	ga_s2bm_ard_3-2-1_52KFE_2020-06-23_final.stac-item
2020-06-23 11:12:45	ga_s2bm_ard_3-2-1_52KFD_2020-06-23_final.stac-item
2020-06-23 11:12:49	ga_s2bm_ard_3-2-1_52KED_2020-06-23_final.stac-item
2020-06-23 11:12:56	ga_s2bm_ard_3-2-1_52KFC_2020-06-23_final.stac-item
2020-06-23 11:13:03	ga_s2bm_ard_3-2-1_52KEC_2020-06-23_final.stac-item
2020-06-27 10:55:19	ga_s2bm_ard_3-2-1_52JFP_2020-06-27_final.stac-item
2020-06-27 10:55:25	ga_s2bm_ard_3-2-1_52JEP_2020-06-27_final.stac-item
2020-06-27 10:55:33	ga_s2bm_ard_3-2-1_52JFN_2020-06-27_final.stac-item
2020-06-27 10:55:37	ga_s2bm_ard_3-2-1_52JEN_2020-06-27_final.stac-item
2020-06-27 10:55:48	ga_s2bm_ard_3-2-1_52JFM_2020-06-27_final.stac-item
2020-06-27 10:55:51	ga_s2bm_ard_3-2-1_52JEM_2020-06-27_final.stac-item
2020-06-27 10:56:02	ga_s2bm_ard_3-2-1_52JFL_2020-06-27_final.stac-item
2020-06-27 10:56:06	ga_s2bm_ard_3-2-1_52JEL_2020-06-27_final.stac-item
2022-11-27 11:02:32	ga_s2bm_ard_3-2-1_52KFE_2022-11-27_final.stac-item
2022-11-27 11:02:42	ga_s2bm_ard_3-2-1_52KFD_2022-11-27_final.stac-item
2022-11-27 11:02:45	ga_s2bm_ard_3-2-1_52KED_2022-11-27_final.stac-item
2022-11-27 11:02:49	ga_s2bm_ard_3-2-1_52KFD_2022-11-27_final.stac-item
2022-11-27 11:02:52	ga_s2bm_ard_3-2-1_52KED_2022-11-27_final.stac-item
2022-11-27 11:03:01	ga_s2bm_ard_3-2-1_52KFC_2022-11-27_final
2022-11-27 11:03:04	ga_s2bm_ard_3-2-1_52KEC_2022-11-27_final.stac-item
2022-11-27 11:03:16	ga_s2bm_ard_3-2-1_52KFB_2022-11-27_final.stac-item
2022-11-27 11:03:19	ga_s2bm_ard_3-2-1_52KEB_2022-11-27_final.stac-item
2022-11-27 11:03:30	ga_s2bm_ard_3-2-1_52KFA_2022-11-27_final.stac-item
2022-11-27 11:03:33	ga_s2bm_ard_3-2-1_52KEA_2022-11-27_final.stac-item
2022-11-27 11:03:45	ga_s2bm_ard_3-2-1_52KFV_2022-11-27_final.stac-item
2022-11-27 11:03:48	ga_s2bm_ard_3-2-1_52KEV_2022-11-27_final.stac-item
2022-11-27 11:03:59	ga_s2bm_ard_3-2-1_52KFU_2022-11-27_final.stac-item
2022-11-27 11:04:02	ga_s2bm_ard_3-2-1_52KEU_2022-11-27_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

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