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
2017-08-04 09:52:34	ga_s2bm_ard_3-2-1_55GCR_2017-08-04_final.stac-item
2017-08-04 09:52:34	ga_s2bm_ard_3-2-1_55HBD_2017-08-04_final.stac-item
2017-08-04 09:52:34	ga_s2bm_ard_3-2-1_55HBE_2017-08-04_final.stac-item
2017-08-04 09:52:34	ga_s2bm_ard_3-2-1_55HCA_2017-08-04_final.stac-item
2017-08-04 09:52:34	ga_s2bm_ard_3-2-1_55HCB_2017-08-04_final.stac-item
2017-08-04 09:52:34	ga_s2bm_ard_3-2-1_55HCC_2017-08-04_final.stac-item
2017-08-04 09:52:34	ga_s2bm_ard_3-2-1_55HCD_2017-08-04_final.stac-item
2017-08-04 09:52:34	ga_s2bm_ard_3-2-1_55HCE_2017-08-04_final.stac-item
2017-08-04 09:52:34	ga_s2bm_ard_3-2-1_55HCS_2017-08-04_final.stac-item
2017-08-04 09:52:34	ga_s2bm_ard_3-2-1_55HCT_2017-08-04_final.stac-item
2017-08-04 09:52:34	ga_s2bm_ard_3-2-1_55HCU_2017-08-04_final.stac-item
2017-08-04 09:52:34	ga_s2bm_ard_3-2-1_55HCV_2017-08-04_final.stac-item
2017-08-04 09:52:34	ga_s2bm_ard_3-2-1_55JBF_2017-08-04_final.stac-item
2017-08-04 09:52:34	ga_s2bm_ard_3-2-1_55JBG_2017-08-04_final.stac-item
2017-08-04 09:52:34	ga_s2bm_ard_3-2-1_55JBH_2017-08-04_final.stac-item
2017-08-04 09:52:34	ga_s2bm_ard_3-2-1_55JCF_2017-08-04_final.stac-item
2017-08-04 09:52:34	ga_s2bm_ard_3-2-1_55JCG_2017-08-04_final.stac-item
2017-08-04 09:52:34	ga_s2bm_ard_3-2-1_55JCH_2017-08-04_final.stac-item
2017-08-04 09:52:34	ga_s2bm_ard_3-2-1_55JCJ_2017-08-04_final.stac-item
2017-08-11 09:46:24	ga_s2bm_ard_3-2-1_55GCN_2017-08-11_final.stac-item
2017-08-11 09:46:24	ga_s2bm_ard_3-2-1_55GCP_2017-08-11_final.stac-item
2017-08-21 09:48:36	ga_s2bm_ard_3-2-1_55GCN_2017-08-21_final.stac-item
2017-08-30 10:06:59	ga_s2bm_ard_3-2-1_55KBA_2017-08-30_final.stac-item
2017-08-30 10:06:59	ga_s2bm_ard_3-2-1_55KBB_2017-08-30_final.stac-item
2017-08-30 10:06:59	ga_s2bm_ard_3-2-1_55KBS_2017-08-30_final.stac-item
2017-08-30 10:06:59	ga_s2bm_ard_3-2-1_55KBT_2017-08-30_final.stac-item
2017-08-30 10:06:59	ga_s2bm_ard_3-2-1_55KBU_2017-08-30_final.stac-item
2017-08-30 10:06:59	ga_s2bm_ard_3-2-1_55KBV_2017-08-30_final.stac-item
2017-08-30 10:06:59	ga_s2bm_ard_3-2-1_55LBC_2017-08-30_final.stac-item
2017-08-30 10:06:59	ga_s2bm_ard_3-2-1_55LBD_2017-08-30_final.stac-item
2017-08-30 10:06:59	ga_s2bm_ard_3-2-1_55LBE_2017-08-30_final.stac-item
2018-06-26 10:07:03	ga_s2bm_ard_3-2-1_55KBA_2018-06-26_final.stac-item
2018-06-26 10:07:03	ga_s2bm_ard_3-2-1_55KBB_2018-06-26_final.stac-item
2018-06-26 10:07:03	ga_s2bm_ard_3-2-1_55KBS_2018-06-26_final.stac-item
2018-06-26 10:07:03	ga_s2bm_ard_3-2-1_55KBT_2018-06-26_final.stac-item
2018-06-26 10:07:03	ga_s2bm_ard_3-2-1_55KBU_2018-06-26_final.stac-item
2018-06-26 10:07:03	ga_s2bm_ard_3-2-1_55KBV_2018-06-26_final.stac-item
2018-06-26 10:07:03	ga_s2bm_ard_3-2-1_55LBC_2018-06-26_final.stac-item
2018-06-26 10:07:03	ga_s2bm_ard_3-2-1_55LBD_2018-06-26_final.stac-item
2018-06-26 10:07:03	ga_s2bm_ard_3-2-1_55LBE_2018-06-26_final.stac-item
2018-07-13 09:59:23	ga_s2bm_ard_3-2-1_55JBF_2018-07-13_final.stac-item
2018-07-13 09:59:23	ga_s2bm_ard_3-2-1_55JBG_2018-07-13_final.stac-item
2018-07-13 09:59:23	ga_s2bm_ard_3-2-1_55JBH_2018-07-13_final.stac-item
2018-07-13 09:59:23	ga_s2bm_ard_3-2-1_55JBJ_2018-07-13_final.stac-item
2018-07-13 09:59:23	ga_s2bm_ard_3-2-1_55JBK_2018-07-13_final.stac-item
2018-07-13 09:59:23	ga_s2bm_ard_3-2-1_55JCF_2018-07-13_final.stac-item
2018-07-13 09:59:23	ga_s2bm_ard_3-2-1_55JCG_2018-07-13_final.stac-item
2018-07-13 09:59:23	ga_s2bm_ard_3-2-1_55JCH_2018-07-13_final.stac-item
2018-07-13 09:59:23	ga_s2bm_ard_3-2-1_55JCJ_2018-07-13_final.stac-item
2018-09-14 10:06:55	ga_s2bm_ard_3-2-1_55KBA_2018-09-14_final.stac-item
2018-09-14 10:06:55	ga_s2bm_ard_3-2-1_55KBB_2018-09-14_final.stac-item
2018-09-14 10:06:55	ga_s2bm_ard_3-2-1_55KBS_2018-09-14_final.stac-item
2018-09-14 10:06:55	ga_s2bm_ard_3-2-1_55KBT_2018-09-14_final.stac-item
2018-09-14 10:06:55	ga_s2bm_ard_3-2-1_55KBU_2018-09-14_final.stac-item
2018-09-14 10:06:55	ga_s2bm_ard_3-2-1_55KBV_2018-09-14_final.stac-item
2018-09-14 10:06:55	ga_s2bm_ard_3-2-1_55LBC_2018-09-14_final.stac-item
2018-09-14 10:06:55	ga_s2bm_ard_3-2-1_55LBD_2018-09-14_final.stac-item
2018-09-14 10:06:55	ga_s2bm_ard_3-2-1_55LBE_2018-09-14_final.stac-item
2018-09-24 10:06:58	ga_s2bm_ard_3-2-1_55KBA_2018-09-24_final.stac-item
2018-09-24 10:06:58	ga_s2bm_ard_3-2-1_55KBB_2018-09-24_final.stac-item
2018-09-24 10:06:58	ga_s2bm_ard_3-2-1_55KBS_2018-09-24_final.stac-item
2018-09-24 10:06:58	ga_s2bm_ard_3-2-1_55KBT_2018-09-24_final.stac-item
2018-09-24 10:06:58	ga_s2bm_ard_3-2-1_55KBU_2018-09-24_final.stac-item
2018-09-24 10:06:58	ga_s2bm_ard_3-2-1_55KBV_2018-09-24_final.stac-item
2018-09-24 10:06:58	ga_s2bm_ard_3-2-1_55LBC_2018-09-24_final.stac-item
2018-09-24 10:06:58	ga_s2bm_ard_3-2-1_55LBD_2018-09-24_final.stac-item
2018-09-24 10:06:58	ga_s2bm_ard_3-2-1_55LBE_2018-09-24_final.stac-item
2018-09-28 09:52:43	ga_s2bm_ard_3-2-1_55GCR_2018-09-28_final.stac-item
2018-09-28 09:52:43	ga_s2bm_ard_3-2-1_55HBD_2018-09-28_final.stac-item
2018-09-28 09:52:43	ga_s2bm_ard_3-2-1_55HBE_2018-09-28_final.stac-item
2018-09-28 09:52:43	ga_s2bm_ard_3-2-1_55HCA_2018-09-28_final.stac-item
2018-09-28 09:52:43	ga_s2bm_ard_3-2-1_55HCB_2018-09-28_final.stac-item
2018-09-28 09:52:43	ga_s2bm_ard_3-2-1_55HCC_2018-09-28_final.stac-item
2018-09-28 09:52:43	ga_s2bm_ard_3-2-1_55HCD_2018-09-28_final.stac-item
2018-09-28 09:52:43	ga_s2bm_ard_3-2-1_55HCE_2018-09-28_final.stac-item
2018-09-28 09:52:43	ga_s2bm_ard_3-2-1_55HCS_2018-09-28_final.stac-item
2018-09-28 09:52:43	ga_s2bm_ard_3-2-1_55HCT_2018-09-28_final.stac-item
2018-09-28 09:52:43	ga_s2bm_ard_3-2-1_55HCU_2018-09-28_final.stac-item
2018-09-28 09:52:43	ga_s2bm_ard_3-2-1_55HCV_2018-09-28_final.stac-item
2018-09-28 09:52:43	ga_s2bm_ard_3-2-1_55JBF_2018-09-28_final.stac-item
2018-09-28 09:52:43	ga_s2bm_ard_3-2-1_55JBG_2018-09-28_final.stac-item
2018-09-28 09:52:43	ga_s2bm_ard_3-2-1_55JBH_2018-09-28_final.stac-item
2018-09-28 09:52:43	ga_s2bm_ard_3-2-1_55JCF_2018-09-28_final.stac-item
2018-09-28 09:52:43	ga_s2bm_ard_3-2-1_55JCG_2018-09-28_final.stac-item
2018-09-28 09:52:43	ga_s2bm_ard_3-2-1_55JCH_2018-09-28_final.stac-item
2018-09-28 09:52:43	ga_s2bm_ard_3-2-1_55JCJ_2018-09-28_final.stac-item
2019-11-09 09:47:21	ga_s2bm_ard_3-2-1_55HCU_2019-11-09_final.stac-item
2019-11-09 09:47:36	ga_s2bm_ard_3-2-1_55HCT_2019-11-09_final.stac-item
2019-11-09 09:47:50	ga_s2bm_ard_3-2-1_55HCS_2019-11-09_final.stac-item
2019-11-09 09:48:05	ga_s2bm_ard_3-2-1_55GCR_2019-11-09_final.stac-item
2019-11-09 09:48:19	ga_s2bm_ard_3-2-1_55GCQ_2019-11-09_final.stac-item
2019-11-09 09:48:34	ga_s2bm_ard_3-2-1_55GCP_2019-11-09_final.stac-item
2019-11-09 09:48:48	ga_s2bm_ard_3-2-1_55GCN_2019-11-09_final.stac-item
2019-11-29 09:47:17	ga_s2bm_ard_3-2-1_55HCU_2019-11-29_final.stac-item
2019-11-29 09:47:32	ga_s2bm_ard_3-2-1_55HCT_2019-11-29_final.stac-item
2019-11-29 09:47:43	ga_s2bm_ard_3-2-1_55HCS_2019-11-29_final.stac-item
2019-11-29 09:47:50	ga_s2bm_ard_3-2-1_55HCS_2019-11-29_final.stac-item
2019-11-29 09:48:01	ga_s2bm_ard_3-2-1_55GCR_2019-11-29_final.stac-item
2019-11-29 09:48:15	ga_s2bm_ard_3-2-1_55GCQ_2019-11-29_final.stac-item
2019-11-29 09:48:30	ga_s2bm_ard_3-2-1_55GCP_2019-11-29_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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