Search ga_s2am_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
2016-08-11 09:42:16	ga_s2am_ard_3-2-1_56KKU_2016-08-11_final.stac-item
2016-08-11 09:42:16	ga_s2am_ard_3-2-1_56KLU_2016-08-11_final.stac-item
2016-08-11 09:42:16	ga_s2am_ard_3-2-1_55JHN_2016-08-11_final.stac-item
2016-08-11 11:22:31	ga_s2am_ard_3-2-1_51KWP_2016-08-11_final.stac-item
2016-08-11 11:22:31	ga_s2am_ard_3-2-1_51KXP_2016-08-11_final.stac-item
2016-08-11 11:22:31	ga_s2am_ard_3-2-1_51KYP_2016-08-11_final.stac-item
2016-08-11 11:22:31	ga_s2am_ard_3-2-1_51KZP_2016-08-11_final.stac-item
2016-08-11 11:22:31	ga_s2am_ard_3-2-1_52KBU_2016-08-11_final.stac-item
2016-08-14 09:52:35	ga_s2am_ard_3-2-1_55KDP_2016-08-14_final.stac-item
2016-08-14 09:52:35	ga_s2am_ard_3-2-1_55KEP_2016-08-14_final.stac-item
2016-08-14 09:52:35	ga_s2am_ard_3-2-1_55KFP_2016-08-14_final.stac-item
2016-08-14 09:52:35	ga_s2am_ard_3-2-1_55KGP_2016-08-14_final.stac-item
2016-08-15 11:02:21	ga_s2am_ard_3-2-1_52KDU_2016-08-15_final.stac-item
2016-08-15 11:02:21	ga_s2am_ard_3-2-1_52KEU_2016-08-15_final.stac-item
2016-08-15 11:02:21	ga_s2am_ard_3-2-1_52KFU_2016-08-15_final.stac-item
2016-08-15 11:02:21	ga_s2am_ard_3-2-1_52KGU_2016-08-15_final.stac-item
2016-08-18 11:10:59	ga_s2am_ard_3-2-1_52KBU_2016-08-18_final.stac-item
2016-08-18 11:10:59	ga_s2am_ard_3-2-1_52KCU_2016-08-18_final.stac-item
2016-08-18 11:10:59	ga_s2am_ard_3-2-1_52KEU_2016-08-18_final.stac-item
2016-08-19 10:38:46	ga_s2am_ard_3-2-1_53KLP_2016-08-19_final.stac-item
2016-08-19 10:38:46	ga_s2am_ard_3-2-1_53KMP_2016-08-19_final.stac-item
2016-08-19 10:38:46	ga_s2am_ard_3-2-1_53KNP_2016-08-19_final.stac-item
2016-08-19 10:38:46	ga_s2am_ard_3-2-1_53KPP_2016-08-19_final.stac-item
2016-08-27 10:01:42	ga_s2am_ard_3-2-1_54JZT_2016-08-27_final.stac-item
2016-08-27 10:01:42	ga_s2am_ard_3-2-1_54KYU_2016-08-27_final.stac-item
2016-08-27 10:01:42	ga_s2am_ard_3-2-1_54KZU_2016-08-27_final.stac-item
2016-08-27 10:01:42	ga_s2am_ard_3-2-1_55KBP_2016-08-27_final.stac-item
2016-08-27 10:01:42	ga_s2am_ard_3-2-1_55KCP_2016-08-27_final.stac-item
2016-08-27 10:01:42	ga_s2am_ard_3-2-1_55KDP_2016-08-27_final.stac-item
2016-08-31 09:42:13	ga_s2am_ard_3-2-1_56KKU_2016-08-31_final.stac-item
2016-08-31 09:42:13	ga_s2am_ard_3-2-1_56KLU_2016-08-31_final.stac-item
2016-08-31 09:42:13	ga_s2am_ard_3-2-1_55JHN_2016-08-31_final.stac-item
2016-08-31 09:42:13	ga_s2am_ard_3-2-1_55KFP_2016-08-31_final.stac-item
2016-08-31 09:42:13	ga_s2am_ard_3-2-1_55KGP_2016-08-31_final.stac-item
2016-08-31 09:42:13	ga_s2am_ard_3-2-1_55KHP_2016-08-31_final.stac-item
2016-09-03 09:52:32	ga_s2am_ard_3-2-1_55KDP_2016-09-03_final.stac-item
2016-09-03 09:52:32	ga_s2am_ard_3-2-1_55KEP_2016-09-03_final.stac-item
2016-09-03 09:52:32	ga_s2am_ard_3-2-1_55KFP_2016-09-03_final.stac-item
2016-09-03 09:52:32	ga_s2am_ard_3-2-1_55KGP_2016-09-03_final.stac-item
2016-09-04 11:02:35	ga_s2am_ard_3-2-1_52KDU_2016-09-04_final.stac-item
2016-09-04 11:02:35	ga_s2am_ard_3-2-1_52KEU_2016-09-04_final.stac-item
2016-09-04 11:02:35	ga_s2am_ard_3-2-1_52KFU_2016-09-04_final.stac-item
2016-09-04 11:02:35	ga_s2am_ard_3-2-1_52KGU_2016-09-04_final.stac-item
2016-09-08 10:38:41	ga_s2am_ard_3-2-1_53KLP_2016-09-08_final.stac-item
2016-09-08 10:38:41	ga_s2am_ard_3-2-1_53KMP_2016-09-08_final.stac-item
2016-09-08 10:38:41	ga_s2am_ard_3-2-1_53KNP_2016-09-08_final.stac-item
2016-09-08 10:38:41	ga_s2am_ard_3-2-1_53KPP_2016-09-08_final.stac-item
2016-09-14 10:57:41	ga_s2am_ard_3-2-1_52KDU_2016-09-14_final.stac-item
2016-09-14 10:57:41	ga_s2am_ard_3-2-1_52KEU_2016-09-14_final.stac-item
2016-09-14 10:57:41	ga_s2am_ard_3-2-1_52KFU_2016-09-14_final.stac-item
2016-09-14 10:57:41	ga_s2am_ard_3-2-1_52KGU_2016-09-14_final.stac-item
2016-10-01 10:52:12	ga_s2am_ard_3-2-1_52JHT_2016-10-01_final.stac-item
2016-10-01 10:52:12	ga_s2am_ard_3-2-1_53KKP_2016-10-01_final.stac-item
2016-10-01 10:52:12	ga_s2am_ard_3-2-1_53KLP_2016-10-01_final.stac-item
2016-10-01 10:52:12	ga_s2am_ard_3-2-1_53KMP_2016-10-01_final.stac-item
2016-10-01 10:52:12	ga_s2am_ard_3-2-1_52KGU_2016-10-01_final.stac-item
2016-10-01 10:52:12	ga_s2am_ard_3-2-1_52KHU_2016-10-01_final.stac-item
2016-10-04 10:57:51	ga_s2am_ard_3-2-1_52KDU_2016-10-04_final.stac-item
2016-10-04 10:57:51	ga_s2am_ard_3-2-1_52KEU_2016-10-04_final.stac-item
2016-10-04 10:57:51	ga_s2am_ard_3-2-1_52KFU_2016-10-04_final.stac-item
2016-10-04 10:57:51	ga_s2am_ard_3-2-1_52KGU_2016-10-04_final.stac-item
2016-10-11 10:48:21	ga_s2am_ard_3-2-1_52JHT_2016-10-11_final.stac-item
2016-10-11 10:48:21	ga_s2am_ard_3-2-1_53KKP_2016-10-11_final.stac-item
2016-10-11 10:48:21	ga_s2am_ard_3-2-1_53KLP_2016-10-11_final.stac-item
2016-10-11 10:48:21	ga_s2am_ard_3-2-1_53KMP_2016-10-11_final.stac-item
2016-10-11 10:48:21	ga_s2am_ard_3-2-1_52KGU_2016-10-11_final.stac-item
2016-10-11 10:48:21	ga_s2am_ard_3-2-1_52KHU_2016-10-11_final.stac-item
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_50KKU_2018-08-13_final.stac-item
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_50KLU_2018-08-13_final.stac-item
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_50KMU_2018-08-13_final.stac-item
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_49JHN_2018-08-13_final.stac-item
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_49KGP_2018-08-13_final.stac-item
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_49KHP_2018-08-13_final.stac-item
2018-08-30 11:53:49	ga_s2am_ard_3-2-1_50KLU_2018-08-30_final.stac-item
2018-08-30 11:53:49	ga_s2am_ard_3-2-1_50KMU_2018-08-30_final.stac-item
2018-08-30 11:53:49	ga_s2am_ard_3-2-1_50KNU_2018-08-30_final.stac-item
2018-08-30 11:53:49	ga_s2am_ard_3-2-1_50KPU_2018-08-30_final.stac-item
2018-08-30 11:53:49	ga_s2am_ard_3-2-1_50KQU_2018-08-30_final.stac-item
2018-12-26 09:33:17	ga_s2am_ard_3-2-1_56KMU_2018-12-26_final.stac-item
2018-12-26 09:33:20	ga_s2am_ard_3-2-1_56KLU_2018-12-26_final.stac-item
2018-12-28 10:13:26	ga_s2am_ard_3-2-1_55KBP_2018-12-28_final.stac-item
2018-12-28 10:13:26	ga_s2am_ard_3-2-1_54KZU_2018-12-28_final.stac-item
2018-12-28 10:13:31	ga_s2am_ard_3-2-1_54KYU_2018-12-28_final.stac-item
2018-12-28 10:13:34	ga_s2am_ard_3-2-1_54KXU_2018-12-28_final.stac-item
2018-12-28 10:13:38	ga_s2am_ard_3-2-1_54KWU_2018-12-28_final.stac-item
2019-01-05 09:33:19	ga_s2am_ard_3-2-1_56KMU_2019-01-05_final.stac-item
2019-01-05 09:33:22	ga_s2am_ard_3-2-1_56KLU_2019-01-05_final.stac-item
2024-03-27 12:14:21	ga_s2am_ard_3-2-1_49KHP_2024-03-27_final
2024-03-27 12:14:27	ga_s2am_ard_3-2-1_49KGP_2024-03-27_final
2024-03-27 12:14:31	ga_s2am_ard_3-2-1_49KFP_2024-03-27_nrt
2024-04-20 10:13:36	ga_s2am_ard_3-2-1_55KBP_2024-04-20_final
2024-04-20 10:13:37	ga_s2am_ard_3-2-1_54KZU_2024-04-20_final
2024-04-20 10:13:41	ga_s2am_ard_3-2-1_54KYU_2024-04-20_final
2024-04-20 10:13:44	ga_s2am_ard_3-2-1_54KXU_2024-04-20_final
2024-04-20 10:13:48	ga_s2am_ard_3-2-1_54KWU_2024-04-20_final
2024-04-21 09:43:26	ga_s2am_ard_3-2-1_56KLU_2024-04-21_final
2024-04-21 09:43:30	ga_s2am_ard_3-2-1_56KKU_2024-04-21_final
2024-04-21 09:43:30	ga_s2am_ard_3-2-1_55KHP_2024-04-21_final
2024-04-21 09:43:33	ga_s2am_ard_3-2-1_55KGP_2024-04-21_final
2024-04-21 09:43:38	ga_s2am_ard_3-2-1_55KFP_2024-04-21_final

Return to ga_s2am_ard_3 whole collection overview

ga_s2am_ard_3: Geoscience Australia Sentinel 2A MSI Analysis Ready Data Collection 3

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

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