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
2017-07-29 09:32:17	ga_s2bm_ard_3-2-1_56KLA_2017-07-29_final.stac-item
2017-07-29 09:32:17	ga_s2bm_ard_3-2-1_56KLB_2017-07-29_final.stac-item
2017-07-29 09:32:17	ga_s2bm_ard_3-2-1_56KMA_2017-07-29_final.stac-item
2017-07-31 11:49:45	ga_s2bm_ard_3-2-1_50KMA_2017-07-31_final.stac-item
2017-07-31 11:49:45	ga_s2bm_ard_3-2-1_50KMB_2017-07-31_final.stac-item
2017-07-31 11:49:45	ga_s2bm_ard_3-2-1_50KNA_2017-07-31_final.stac-item
2017-07-31 11:49:45	ga_s2bm_ard_3-2-1_50KNB_2017-07-31_final.stac-item
2017-07-31 11:49:45	ga_s2bm_ard_3-2-1_50KPA_2017-07-31_final.stac-item
2017-07-31 11:49:45	ga_s2bm_ard_3-2-1_50KPB_2017-07-31_final.stac-item
2017-07-31 11:49:45	ga_s2bm_ard_3-2-1_50KQA_2017-07-31_final.stac-item
2017-08-12 10:52:15	ga_s2bm_ard_3-2-1_53KKR_2017-08-12_final.stac-item
2017-08-12 10:52:15	ga_s2bm_ard_3-2-1_53KLR_2017-08-12_final.stac-item
2017-08-12 10:52:15	ga_s2bm_ard_3-2-1_53KLS_2017-08-12_final.stac-item
2017-08-12 10:52:15	ga_s2bm_ard_3-2-1_52KGA_2017-08-12_final.stac-item
2017-08-12 10:52:15	ga_s2bm_ard_3-2-1_53KMR_2017-08-12_final.stac-item
2017-08-12 10:52:15	ga_s2bm_ard_3-2-1_53KMS_2017-08-12_final.stac-item
2017-08-12 10:52:15	ga_s2bm_ard_3-2-1_52KHA_2017-08-12_final.stac-item
2017-08-30 10:06:59	ga_s2bm_ard_3-2-1_54KWA_2017-08-30_final.stac-item
2017-08-30 10:06:59	ga_s2bm_ard_3-2-1_54KWB_2017-08-30_final.stac-item
2017-08-30 10:06:59	ga_s2bm_ard_3-2-1_54KXA_2017-08-30_final.stac-item
2017-08-30 10:06:59	ga_s2bm_ard_3-2-1_54KXB_2017-08-30_final.stac-item
2017-08-30 10:06:59	ga_s2bm_ard_3-2-1_55KBR_2017-08-30_final.stac-item
2017-08-30 10:06:59	ga_s2bm_ard_3-2-1_54KYA_2017-08-30_final.stac-item
2017-08-30 10:06:59	ga_s2bm_ard_3-2-1_54KZA_2017-08-30_final.stac-item
2017-09-02 12:02:43	ga_s2bm_ard_3-2-1_49KHR_2017-09-02_final.stac-item
2017-09-02 12:02:43	ga_s2bm_ard_3-2-1_50KKA_2017-09-02_final.stac-item
2017-09-02 12:02:43	ga_s2bm_ard_3-2-1_50KLA_2017-09-02_final.stac-item
2017-09-02 12:02:43	ga_s2bm_ard_3-2-1_50KLB_2017-09-02_final.stac-item
2017-09-02 12:02:43	ga_s2bm_ard_3-2-1_50KMA_2017-09-02_final.stac-item
2017-09-02 12:02:43	ga_s2bm_ard_3-2-1_50KMB_2017-09-02_final.stac-item
2017-09-02 12:02:43	ga_s2bm_ard_3-2-1_50KNA_2017-09-02_final.stac-item
2017-09-02 12:02:43	ga_s2bm_ard_3-2-1_50KNB_2017-09-02_final.stac-item
2017-09-03 09:52:08	ga_s2bm_ard_3-2-1_55KDR_2017-09-03_final.stac-item
2017-09-03 09:52:08	ga_s2bm_ard_3-2-1_55KDS_2017-09-03_final.stac-item
2017-09-03 09:52:08	ga_s2bm_ard_3-2-1_55KER_2017-09-03_final.stac-item
2017-09-03 09:52:08	ga_s2bm_ard_3-2-1_55KES_2017-09-03_final.stac-item
2017-09-03 09:52:08	ga_s2bm_ard_3-2-1_55KFR_2017-09-03_final.stac-item
2017-09-03 09:52:08	ga_s2bm_ard_3-2-1_55KFS_2017-09-03_final.stac-item
2017-09-03 09:52:08	ga_s2bm_ard_3-2-1_55KGR_2017-09-03_final.stac-item
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50KMA_2018-04-17_final.stac-item
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50KMB_2018-04-17_final.stac-item
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50KNA_2018-04-17_final.stac-item
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50KNB_2018-04-17_final.stac-item
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50KPA_2018-04-17_final.stac-item
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50KPB_2018-04-17_final.stac-item
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50KQA_2018-04-17_final.stac-item
2018-04-18 09:41:07	ga_s2bm_ard_3-2-1_56KKA_2018-04-18_final.stac-item
2018-04-18 09:41:07	ga_s2bm_ard_3-2-1_56KLA_2018-04-18_final.stac-item
2018-04-18 09:41:07	ga_s2bm_ard_3-2-1_56KLB_2018-04-18_final.stac-item
2018-04-18 09:41:07	ga_s2bm_ard_3-2-1_56KMA_2018-04-18_final.stac-item
2018-04-18 09:41:07	ga_s2bm_ard_3-2-1_55KGR_2018-04-18_final.stac-item
2018-04-18 09:41:07	ga_s2bm_ard_3-2-1_55KHR_2018-04-18_final.stac-item
2018-04-18 11:16:57	ga_s2bm_ard_3-2-1_52KBA_2018-04-18_final.stac-item
2018-04-18 11:16:57	ga_s2bm_ard_3-2-1_52KCA_2018-04-18_final.stac-item
2018-04-18 11:16:57	ga_s2bm_ard_3-2-1_51KXR_2018-04-18_final.stac-item
2018-04-18 11:16:57	ga_s2bm_ard_3-2-1_51KXS_2018-04-18_final.stac-item
2018-04-18 11:16:57	ga_s2bm_ard_3-2-1_51KYR_2018-04-18_final.stac-item
2018-04-18 11:16:57	ga_s2bm_ard_3-2-1_51KZR_2018-04-18_final.stac-item
2018-04-28 09:41:07	ga_s2bm_ard_3-2-1_56KKA_2018-04-28_final.stac-item
2018-04-28 09:41:07	ga_s2bm_ard_3-2-1_56KLA_2018-04-28_final.stac-item
2018-04-28 09:41:07	ga_s2bm_ard_3-2-1_56KLB_2018-04-28_final.stac-item
2018-04-28 09:41:07	ga_s2bm_ard_3-2-1_56KMA_2018-04-28_final.stac-item
2018-04-28 09:41:07	ga_s2bm_ard_3-2-1_55KGR_2018-04-28_final.stac-item
2018-04-28 09:41:07	ga_s2bm_ard_3-2-1_55KHR_2018-04-28_final.stac-item
2018-04-28 11:18:17	ga_s2bm_ard_3-2-1_52KBA_2018-04-28_final.stac-item
2018-04-28 11:18:17	ga_s2bm_ard_3-2-1_52KCA_2018-04-28_final.stac-item
2018-04-28 11:18:17	ga_s2bm_ard_3-2-1_51KXR_2018-04-28_final.stac-item
2018-04-28 11:18:17	ga_s2bm_ard_3-2-1_51KXS_2018-04-28_final.stac-item
2018-05-01 11:27:31	ga_s2bm_ard_3-2-1_51KUR_2018-05-01_final.stac-item
2018-05-01 11:27:31	ga_s2bm_ard_3-2-1_51KUS_2018-05-01_final.stac-item
2018-05-01 11:27:31	ga_s2bm_ard_3-2-1_51KVR_2018-05-01_final.stac-item
2018-05-01 11:27:31	ga_s2bm_ard_3-2-1_51KVS_2018-05-01_final.stac-item
2018-05-01 11:27:31	ga_s2bm_ard_3-2-1_51KWR_2018-05-01_final.stac-item
2018-05-01 11:27:31	ga_s2bm_ard_3-2-1_51KWS_2018-05-01_final.stac-item
2018-05-01 11:27:31	ga_s2bm_ard_3-2-1_51KXR_2018-05-01_final.stac-item
2018-05-01 11:27:31	ga_s2bm_ard_3-2-1_51KXS_2018-05-01_final.stac-item
2018-05-05 11:07:11	ga_s2bm_ard_3-2-1_52KCA_2018-05-05_final.stac-item
2018-05-05 11:07:11	ga_s2bm_ard_3-2-1_52KCB_2018-05-05_final.stac-item
2018-05-05 11:07:11	ga_s2bm_ard_3-2-1_52KDA_2018-05-05_final.stac-item
2018-05-05 11:07:11	ga_s2bm_ard_3-2-1_52KDB_2018-05-05_final.stac-item
2018-05-05 11:07:11	ga_s2bm_ard_3-2-1_52KEA_2018-05-05_final.stac-item
2018-05-05 11:07:11	ga_s2bm_ard_3-2-1_52KEB_2018-05-05_final.stac-item
2018-05-05 11:13:23	ga_s2bm_ard_3-2-1_52KBA_2018-05-05_final.stac-item
2018-05-05 11:13:23	ga_s2bm_ard_3-2-1_52KCA_2018-05-05_final.stac-item
2018-05-05 11:13:23	ga_s2bm_ard_3-2-1_52KCB_2018-05-05_final.stac-item
2018-05-05 11:13:23	ga_s2bm_ard_3-2-1_52KDA_2018-05-05_final.stac-item
2018-05-05 11:13:23	ga_s2bm_ard_3-2-1_51KZR_2018-05-05_final.stac-item
2018-05-06 10:37:26	ga_s2bm_ard_3-2-1_53KMR_2018-05-06_final.stac-item
2018-05-06 10:37:26	ga_s2bm_ard_3-2-1_53KMS_2018-05-06_final.stac-item
2018-05-06 10:37:26	ga_s2bm_ard_3-2-1_53KNR_2018-05-06_final.stac-item
2018-05-06 10:37:26	ga_s2bm_ard_3-2-1_53KNS_2018-05-06_final.stac-item
2018-05-06 10:37:26	ga_s2bm_ard_3-2-1_53KPR_2018-05-06_final.stac-item
2018-05-06 10:37:26	ga_s2bm_ard_3-2-1_53KPS_2018-05-06_final.stac-item
2018-05-06 10:37:26	ga_s2bm_ard_3-2-1_53KQR_2018-05-06_final.stac-item
2023-11-02 11:03:19	ga_s2bm_ard_3-2-1_52KFB_2023-11-02_final
2023-11-02 11:03:21	ga_s2bm_ard_3-2-1_53KKR_2023-11-02_final
2023-11-02 11:03:22	ga_s2bm_ard_3-2-1_52KEB_2023-11-02_final
2023-11-02 11:03:25	ga_s2bm_ard_3-2-1_52KHA_2023-11-02_final
2023-11-02 11:03:30	ga_s2bm_ard_3-2-1_52KGA_2023-11-02_final
2023-11-02 11:03:34	ga_s2bm_ard_3-2-1_52KFA_2023-11-02_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

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