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
2018-06-08 10:47:22	ga_s2bm_ard_3-2-1_52JGT_2018-06-08_final.stac-item
2018-06-08 10:47:22	ga_s2bm_ard_3-2-1_52JHT_2018-06-08_final.stac-item
2018-06-08 10:47:22	ga_s2bm_ard_3-2-1_53KKP_2018-06-08_final.stac-item
2018-06-08 10:47:22	ga_s2bm_ard_3-2-1_53KLP_2018-06-08_final.stac-item
2018-06-08 10:47:22	ga_s2bm_ard_3-2-1_53KMP_2018-06-08_final.stac-item
2018-06-08 10:47:22	ga_s2bm_ard_3-2-1_52KGU_2018-06-08_final.stac-item
2018-06-08 10:47:22	ga_s2bm_ard_3-2-1_52KHU_2018-06-08_final.stac-item
2018-06-10 11:33:45	ga_s2bm_ard_3-2-1_51KUP_2018-06-10_final.stac-item
2018-06-10 11:33:45	ga_s2bm_ard_3-2-1_51KVP_2018-06-10_final.stac-item
2018-06-10 11:33:45	ga_s2bm_ard_3-2-1_51KWP_2018-06-10_final.stac-item
2018-06-10 11:33:45	ga_s2bm_ard_3-2-1_51KXP_2018-06-10_final.stac-item
2018-06-20 11:26:19	ga_s2bm_ard_3-2-1_51KUP_2018-06-20_final.stac-item
2018-06-20 11:26:19	ga_s2bm_ard_3-2-1_51KVP_2018-06-20_final.stac-item
2018-06-20 11:26:19	ga_s2bm_ard_3-2-1_51KWP_2018-06-20_final.stac-item
2018-06-20 11:26:19	ga_s2bm_ard_3-2-1_51KXP_2018-06-20_final.stac-item
2019-12-26 11:13:52	ga_s2bm_ard_3-2-1_52KEU_2019-12-26_final.stac-item
2019-12-26 11:13:57	ga_s2bm_ard_3-2-1_52KDU_2019-12-26_final.stac-item
2019-12-26 11:14:01	ga_s2bm_ard_3-2-1_52KCU_2019-12-26_final.stac-item
2019-12-26 11:14:04	ga_s2bm_ard_3-2-1_51KZP_2019-12-26_final.stac-item
2019-12-26 11:14:04	ga_s2bm_ard_3-2-1_52KBU_2019-12-26_final.stac-item
2019-12-26 11:14:18	ga_s2bm_ard_3-2-1_51JZN_2019-12-26_final.stac-item
2019-12-30 10:53:44	ga_s2bm_ard_3-2-1_53KMP_2019-12-30_final.stac-item
2019-12-30 10:53:49	ga_s2bm_ard_3-2-1_53KLP_2019-12-30_final.stac-item
2019-12-30 10:53:52	ga_s2bm_ard_3-2-1_53KKP_2019-12-30_final.stac-item
2019-12-30 10:53:52	ga_s2bm_ard_3-2-1_52KHU_2019-12-30_final.stac-item
2019-12-30 10:53:56	ga_s2bm_ard_3-2-1_52KGU_2019-12-30_final.stac-item
2019-12-30 10:54:07	ga_s2bm_ard_3-2-1_52JHT_2019-12-30_final.stac-item
2019-12-30 10:54:10	ga_s2bm_ard_3-2-1_52JGT_2019-12-30_final.stac-item
2019-12-31 10:23:35	ga_s2bm_ard_3-2-1_54KWU_2019-12-31_final.stac-item
2019-12-31 10:23:38	ga_s2bm_ard_3-2-1_54KVU_2019-12-31_final.stac-item
2019-12-31 10:23:42	ga_s2bm_ard_3-2-1_54KUU_2019-12-31_final.stac-item
2019-12-31 10:23:45	ga_s2bm_ard_3-2-1_54KTU_2019-12-31_final.stac-item
2019-12-31 10:23:46	ga_s2bm_ard_3-2-1_53KRP_2019-12-31_final.stac-item
2019-12-31 10:23:59	ga_s2bm_ard_3-2-1_53JRN_2019-12-31_final.stac-item
2020-01-03 10:33:36	ga_s2bm_ard_3-2-1_54KUU_2020-01-03_final.stac-item
2020-01-03 10:33:40	ga_s2bm_ard_3-2-1_54KTU_2020-01-03_final.stac-item
2020-01-03 10:33:40	ga_s2bm_ard_3-2-1_53KRP_2020-01-03_final.stac-item
2020-01-03 10:33:44	ga_s2bm_ard_3-2-1_53KQP_2020-01-03_final.stac-item
2020-01-03 10:33:48	ga_s2bm_ard_3-2-1_53KPP_2020-01-03_final.stac-item
2020-01-03 10:33:55	ga_s2bm_ard_3-2-1_53JRN_2020-01-03_final.stac-item
2020-01-03 10:33:59	ga_s2bm_ard_3-2-1_53JQN_2020-01-03_final.stac-item
2020-01-12 11:03:51	ga_s2bm_ard_3-2-1_52KGU_2020-01-12_final.stac-item
2020-01-12 11:03:54	ga_s2bm_ard_3-2-1_52KFU_2020-01-12_final.stac-item
2020-01-12 11:03:58	ga_s2bm_ard_3-2-1_52KEU_2020-01-12_final.stac-item
2020-01-12 11:04:01	ga_s2bm_ard_3-2-1_52KDU_2020-01-12_final.stac-item
2020-01-13 10:33:47	ga_s2bm_ard_3-2-1_53KPP_2020-01-13_final.stac-item
2020-01-13 10:33:54	ga_s2bm_ard_3-2-1_53JRN_2020-01-13_final.stac-item
2020-01-13 10:33:58	ga_s2bm_ard_3-2-1_53JQN_2020-01-13_final.stac-item
2020-01-15 09:33:19	ga_s2bm_ard_3-2-1_56KMU_2020-01-15_final.stac-item
2020-01-15 09:33:22	ga_s2bm_ard_3-2-1_56KLU_2020-01-15_final.stac-item
2020-01-17 10:13:27	ga_s2bm_ard_3-2-1_55KBP_2020-01-17_final.stac-item
2020-01-17 10:13:27	ga_s2bm_ard_3-2-1_54KZU_2020-01-17_final.stac-item
2020-01-17 10:13:31	ga_s2bm_ard_3-2-1_54KYU_2020-01-17_final.stac-item
2020-01-17 10:13:35	ga_s2bm_ard_3-2-1_54KXU_2020-01-17_final.stac-item
2020-01-17 10:13:38	ga_s2bm_ard_3-2-1_54KWU_2020-01-17_final.stac-item
2020-01-17 10:13:39	ga_s2bm_ard_3-2-1_54JZT_2020-01-17_final.stac-item
2020-01-17 10:13:46	ga_s2bm_ard_3-2-1_54JYT_2020-01-17_final.stac-item
2020-01-23 10:33:34	ga_s2bm_ard_3-2-1_54KUU_2020-01-23_final.stac-item
2020-01-23 10:33:39	ga_s2bm_ard_3-2-1_54KTU_2020-01-23_final.stac-item
2020-01-23 10:33:39	ga_s2bm_ard_3-2-1_53KRP_2020-01-23_final.stac-item
2020-01-23 10:33:42	ga_s2bm_ard_3-2-1_53KQP_2020-01-23_final.stac-item
2020-01-23 10:33:46	ga_s2bm_ard_3-2-1_53KPP_2020-01-23_final.stac-item
2020-01-23 10:33:53	ga_s2bm_ard_3-2-1_53JRN_2020-01-23_final.stac-item
2020-01-23 10:33:57	ga_s2bm_ard_3-2-1_53JQN_2020-01-23_final.stac-item
2020-02-02 10:33:34	ga_s2bm_ard_3-2-1_54KUU_2020-02-02_final.stac-item
2020-02-02 10:33:38	ga_s2bm_ard_3-2-1_54KTU_2020-02-02_final.stac-item
2020-02-02 10:33:38	ga_s2bm_ard_3-2-1_53KRP_2020-02-02_final.stac-item
2020-02-02 10:33:41	ga_s2bm_ard_3-2-1_53KQP_2020-02-02_final.stac-item
2020-02-02 10:33:46	ga_s2bm_ard_3-2-1_53KRP_2020-02-02_final.stac-item
2020-02-02 10:33:46	ga_s2bm_ard_3-2-1_53JRN_2020-02-02_final.stac-item
2020-02-02 10:33:46	ga_s2bm_ard_3-2-1_54KTU_2020-02-02_final.stac-item
2020-02-02 10:33:48	ga_s2bm_ard_3-2-1_53JQN_2020-02-02_final.stac-item
2020-02-02 10:33:48	ga_s2bm_ard_3-2-1_53KQP_2020-02-02_final.stac-item
2020-02-02 10:33:50	ga_s2bm_ard_3-2-1_53KPP_2020-02-02_final.stac-item
2020-02-02 10:33:53	ga_s2bm_ard_3-2-1_53JRN_2020-02-02_final.stac-item
2020-02-02 10:33:57	ga_s2bm_ard_3-2-1_53JQN_2020-02-02_final.stac-item
2020-02-04 09:33:18	ga_s2bm_ard_3-2-1_56KMU_2020-02-04_final.stac-item
2020-02-04 09:33:21	ga_s2bm_ard_3-2-1_56KLU_2020-02-04_final.stac-item
2020-02-07 09:43:17	ga_s2bm_ard_3-2-1_56KLU_2020-02-07_final.stac-item
2020-02-07 09:43:21	ga_s2bm_ard_3-2-1_56KKU_2020-02-07_final.stac-item
2020-02-07 09:43:21	ga_s2bm_ard_3-2-1_55KHP_2020-02-07_final.stac-item
2020-02-07 09:43:24	ga_s2bm_ard_3-2-1_55KGP_2020-02-07_final.stac-item
2020-02-07 09:43:29	ga_s2bm_ard_3-2-1_55KFP_2020-02-07_final.stac-item
2020-02-07 09:43:35	ga_s2bm_ard_3-2-1_55JHN_2020-02-07_final.stac-item
2020-02-07 09:43:39	ga_s2bm_ard_3-2-1_55JGN_2020-02-07_final.stac-item
2020-02-12 12:14:16	ga_s2bm_ard_3-2-1_49KHP_2020-02-12_final.stac-item
2020-02-12 12:14:22	ga_s2bm_ard_3-2-1_49KGP_2020-02-12_final.stac-item
2020-02-17 11:24:00	ga_s2bm_ard_3-2-1_51KZP_2020-02-17_final.stac-item
2020-02-17 11:24:00	ga_s2bm_ard_3-2-1_52KBU_2020-02-17_final.stac-item
2020-02-17 11:24:04	ga_s2bm_ard_3-2-1_51KYP_2020-02-17_final.stac-item
2020-02-17 11:24:07	ga_s2bm_ard_3-2-1_51KXP_2020-02-17_final.stac-item
2020-02-17 11:24:11	ga_s2bm_ard_3-2-1_51KWP_2020-02-17_final.stac-item
2020-02-17 11:24:15	ga_s2bm_ard_3-2-1_51JZN_2020-02-17_final.stac-item
2020-02-17 11:24:18	ga_s2bm_ard_3-2-1_51JYN_2020-02-17_final.stac-item
2020-02-19 12:04:18	ga_s2bm_ard_3-2-1_50KMU_2020-02-19_final.stac-item
2020-02-19 12:04:21	ga_s2bm_ard_3-2-1_50KLU_2020-02-19_final.stac-item
2020-02-19 12:04:24	ga_s2bm_ard_3-2-1_49KHP_2020-02-19_final.stac-item
2020-02-19 12:04:24	ga_s2bm_ard_3-2-1_50KKU_2020-02-19_final.stac-item
2020-02-19 12:04:27	ga_s2bm_ard_3-2-1_49KGP_2020-02-19_final.stac-item
2020-02-19 12:04:39	ga_s2bm_ard_3-2-1_49JHN_2020-02-19_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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