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
2017-07-09 09:38:26	ga_s2bm_ard_3-2-1_55GCN_2017-07-09_final.stac-item
2017-07-29 09:35:43	ga_s2bm_ard_3-2-1_55GCN_2017-07-29_final.stac-item
2018-01-21 09:51:48	ga_s2bm_ard_3-2-1_55JCK_2018-01-21_final.stac-item
2018-01-21 09:51:48	ga_s2bm_ard_3-2-1_55HCA_2018-01-21_final.stac-item
2018-01-21 09:51:48	ga_s2bm_ard_3-2-1_55HCB_2018-01-21_final.stac-item
2018-01-21 09:51:48	ga_s2bm_ard_3-2-1_55HCC_2018-01-21_final.stac-item
2018-01-21 09:51:48	ga_s2bm_ard_3-2-1_55HCD_2018-01-21_final.stac-item
2018-01-21 09:51:48	ga_s2bm_ard_3-2-1_55HCE_2018-01-21_final.stac-item
2018-01-21 09:51:48	ga_s2bm_ard_3-2-1_55HCS_2018-01-21_final.stac-item
2018-01-21 09:51:48	ga_s2bm_ard_3-2-1_55HCT_2018-01-21_final.stac-item
2018-01-21 09:51:48	ga_s2bm_ard_3-2-1_55HCU_2018-01-21_final.stac-item
2018-01-21 09:51:48	ga_s2bm_ard_3-2-1_55HCV_2018-01-21_final.stac-item
2018-01-21 09:51:48	ga_s2bm_ard_3-2-1_55JCF_2018-01-21_final.stac-item
2018-01-21 09:51:48	ga_s2bm_ard_3-2-1_55JCG_2018-01-21_final.stac-item
2018-01-21 09:51:48	ga_s2bm_ard_3-2-1_55JCH_2018-01-21_final.stac-item
2018-01-21 09:51:48	ga_s2bm_ard_3-2-1_55JCJ_2018-01-21_final.stac-item
2018-01-24 10:01:34	ga_s2bm_ard_3-2-1_55JCG_2018-01-24_final.stac-item
2018-01-24 10:01:34	ga_s2bm_ard_3-2-1_55JCH_2018-01-24_final.stac-item
2018-01-25 09:38:16	ga_s2bm_ard_3-2-1_55GCN_2018-01-25_final.stac-item
2018-01-27 10:06:57	ga_s2bm_ard_3-2-1_55KCA_2018-01-27_final.stac-item
2018-01-27 10:06:57	ga_s2bm_ard_3-2-1_55KCB_2018-01-27_final.stac-item
2018-01-27 10:06:57	ga_s2bm_ard_3-2-1_55KCU_2018-01-27_final.stac-item
2018-01-27 10:06:57	ga_s2bm_ard_3-2-1_55KCV_2018-01-27_final.stac-item
2018-01-27 10:06:57	ga_s2bm_ard_3-2-1_55LCC_2018-01-27_final.stac-item
2018-01-27 10:06:57	ga_s2bm_ard_3-2-1_55LCD_2018-01-27_final.stac-item
2018-01-27 10:06:57	ga_s2bm_ard_3-2-1_55LCE_2018-01-27_final.stac-item
2018-01-28 09:42:21	ga_s2bm_ard_3-2-1_55GCN_2018-01-28_final.stac-item
2018-01-28 09:42:21	ga_s2bm_ard_3-2-1_55GCP_2018-01-28_final.stac-item
2018-01-28 09:42:21	ga_s2bm_ard_3-2-1_55GCQ_2018-01-28_final.stac-item
2018-01-28 09:42:21	ga_s2bm_ard_3-2-1_55GCR_2018-01-28_final.stac-item
2018-01-28 09:42:21	ga_s2bm_ard_3-2-1_55HCA_2018-01-28_final.stac-item
2018-01-28 09:42:21	ga_s2bm_ard_3-2-1_55HCS_2018-01-28_final.stac-item
2018-01-28 09:42:21	ga_s2bm_ard_3-2-1_55HCT_2018-01-28_final.stac-item
2018-01-28 09:42:21	ga_s2bm_ard_3-2-1_55HCU_2018-01-28_final.stac-item
2018-01-28 09:42:21	ga_s2bm_ard_3-2-1_55HCV_2018-01-28_final.stac-item
2018-01-31 09:52:50	ga_s2bm_ard_3-2-1_55JCK_2018-01-31_final.stac-item
2018-01-31 09:52:50	ga_s2bm_ard_3-2-1_55HCA_2018-01-31_final.stac-item
2018-01-31 09:52:50	ga_s2bm_ard_3-2-1_55HCB_2018-01-31_final.stac-item
2018-01-31 09:52:50	ga_s2bm_ard_3-2-1_55HCC_2018-01-31_final.stac-item
2018-01-31 09:52:50	ga_s2bm_ard_3-2-1_55HCD_2018-01-31_final.stac-item
2018-01-31 09:52:50	ga_s2bm_ard_3-2-1_55HCE_2018-01-31_final.stac-item
2018-01-31 09:52:50	ga_s2bm_ard_3-2-1_55HCS_2018-01-31_final.stac-item
2018-01-31 09:52:50	ga_s2bm_ard_3-2-1_55HCT_2018-01-31_final.stac-item
2018-01-31 09:52:50	ga_s2bm_ard_3-2-1_55HCU_2018-01-31_final.stac-item
2018-01-31 09:52:50	ga_s2bm_ard_3-2-1_55HCV_2018-01-31_final.stac-item
2018-01-31 09:52:50	ga_s2bm_ard_3-2-1_55JCF_2018-01-31_final.stac-item
2018-01-31 09:52:50	ga_s2bm_ard_3-2-1_55JCG_2018-01-31_final.stac-item
2018-01-31 09:52:50	ga_s2bm_ard_3-2-1_55JCH_2018-01-31_final.stac-item
2018-01-31 09:52:50	ga_s2bm_ard_3-2-1_55JCJ_2018-01-31_final.stac-item
2018-02-03 09:57:00	ga_s2bm_ard_3-2-1_55JCJ_2018-02-03_final.stac-item
2018-02-03 09:57:00	ga_s2bm_ard_3-2-1_55JCK_2018-02-03_final.stac-item
2018-02-03 09:57:00	ga_s2bm_ard_3-2-1_55JCL_2018-02-03_final.stac-item
2018-02-07 09:43:47	ga_s2bm_ard_3-2-1_55HCA_2018-02-07_final.stac-item
2018-03-26 09:32:35	ga_s2bm_ard_3-2-1_55GCN_2018-03-26_final.stac-item
2018-03-29 09:41:04	ga_s2bm_ard_3-2-1_55GCN_2018-03-29_final.stac-item
2018-03-29 09:41:04	ga_s2bm_ard_3-2-1_55GCP_2018-03-29_final.stac-item
2018-03-29 09:41:04	ga_s2bm_ard_3-2-1_55GCQ_2018-03-29_final.stac-item
2018-03-29 09:41:04	ga_s2bm_ard_3-2-1_55GCR_2018-03-29_final.stac-item
2018-03-29 09:41:04	ga_s2bm_ard_3-2-1_55HCA_2018-03-29_final.stac-item
2018-03-29 09:41:04	ga_s2bm_ard_3-2-1_55HCS_2018-03-29_final.stac-item
2018-03-29 09:41:04	ga_s2bm_ard_3-2-1_55HCT_2018-03-29_final.stac-item
2018-03-29 09:41:04	ga_s2bm_ard_3-2-1_55HCU_2018-03-29_final.stac-item
2018-03-29 09:41:04	ga_s2bm_ard_3-2-1_55HCV_2018-03-29_final.stac-item
2018-03-29 09:41:04	ga_s2bm_ard_3-2-1_55GCM_2018-03-29_final
2018-04-08 09:41:06	ga_s2bm_ard_3-2-1_55GCN_2018-04-08_final.stac-item
2018-04-08 09:41:06	ga_s2bm_ard_3-2-1_55GCP_2018-04-08_final.stac-item
2018-04-08 09:41:06	ga_s2bm_ard_3-2-1_55GCQ_2018-04-08_final.stac-item
2018-04-08 09:41:06	ga_s2bm_ard_3-2-1_55GCR_2018-04-08_final.stac-item
2018-04-08 09:41:06	ga_s2bm_ard_3-2-1_55HCA_2018-04-08_final.stac-item
2018-04-08 09:41:06	ga_s2bm_ard_3-2-1_55HCS_2018-04-08_final.stac-item
2018-04-08 09:41:06	ga_s2bm_ard_3-2-1_55HCT_2018-04-08_final.stac-item
2018-04-08 09:41:06	ga_s2bm_ard_3-2-1_55HCU_2018-04-08_final.stac-item
2018-04-08 09:41:06	ga_s2bm_ard_3-2-1_55HCV_2018-04-08_final.stac-item
2018-04-11 09:50:52	ga_s2bm_ard_3-2-1_55JCG_2018-04-11_final.stac-item
2018-04-11 09:50:52	ga_s2bm_ard_3-2-1_55JCH_2018-04-11_final.stac-item
2018-04-11 09:50:52	ga_s2bm_ard_3-2-1_55JCJ_2018-04-11_final.stac-item
2018-04-11 09:50:52	ga_s2bm_ard_3-2-1_55JCK_2018-04-11_final.stac-item
2018-04-11 09:50:52	ga_s2bm_ard_3-2-1_55HCA_2018-04-11_final.stac-item
2018-04-11 09:50:52	ga_s2bm_ard_3-2-1_55HCB_2018-04-11_final.stac-item
2018-04-11 09:50:52	ga_s2bm_ard_3-2-1_55HCC_2018-04-11_final.stac-item
2018-04-11 09:50:52	ga_s2bm_ard_3-2-1_55HCD_2018-04-11_final.stac-item
2018-04-11 09:50:52	ga_s2bm_ard_3-2-1_55HCE_2018-04-11_final.stac-item
2018-04-11 09:50:52	ga_s2bm_ard_3-2-1_55HCS_2018-04-11_final.stac-item
2018-04-11 09:50:52	ga_s2bm_ard_3-2-1_55HCT_2018-04-11_final.stac-item
2018-04-11 09:50:52	ga_s2bm_ard_3-2-1_55HCU_2018-04-11_final.stac-item
2018-04-11 09:50:52	ga_s2bm_ard_3-2-1_55HCV_2018-04-11_final.stac-item
2018-04-11 09:50:52	ga_s2bm_ard_3-2-1_55JCF_2018-04-11_final.stac-item
2018-04-15 09:32:38	ga_s2bm_ard_3-2-1_55GCN_2018-04-15_final.stac-item
2019-06-29 09:39:01	ga_s2bm_ard_3-2-1_55GCN_2019-06-29_final.stac-item
2019-07-05 09:55:15	ga_s2bm_ard_3-2-1_55JCH_2019-07-05_final.stac-item
2019-07-05 09:55:30	ga_s2bm_ard_3-2-1_55JCG_2019-07-05_final.stac-item
2019-07-05 09:55:45	ga_s2bm_ard_3-2-1_55JCF_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 09:56:14	ga_s2bm_ard_3-2-1_55HCD_2019-07-05_final.stac-item
2019-07-05 09:56:28	ga_s2bm_ard_3-2-1_55HCC_2019-07-05_final.stac-item
2019-07-05 09:56:43	ga_s2bm_ard_3-2-1_55HCB_2019-07-05_final.stac-item
2019-07-05 09:56:57	ga_s2bm_ard_3-2-1_55HCA_2019-07-05_final.stac-item
2019-07-05 09:57:12	ga_s2bm_ard_3-2-1_55HCV_2019-07-05_final.stac-item
2019-07-05 09:57:26	ga_s2bm_ard_3-2-1_55HCU_2019-07-05_final.stac-item
2019-07-05 09:57:41	ga_s2bm_ard_3-2-1_55HCT_2019-07-05_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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