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
2017-11-18 09:23:54	ga_s2am_ard_3-2-1_56HLJ_2017-11-17_final.stac-item
2017-11-18 09:23:54	ga_s2am_ard_3-2-1_56HMJ_2017-11-17_final.stac-item
2017-11-19 10:33:38	ga_s2am_ard_3-2-1_53HLD_2017-11-19_final.stac-item
2017-11-19 10:33:38	ga_s2am_ard_3-2-1_53HMD_2017-11-19_final.stac-item
2017-11-19 10:33:38	ga_s2am_ard_3-2-1_53HNC_2017-11-19_final.stac-item
2017-11-19 10:33:38	ga_s2am_ard_3-2-1_53HND_2017-11-19_final.stac-item
2017-11-19 10:33:38	ga_s2am_ard_3-2-1_53HPC_2017-11-19_final.stac-item
2017-11-19 10:33:38	ga_s2am_ard_3-2-1_53HPD_2017-11-19_final.stac-item
2017-11-20 10:05:49	ga_s2am_ard_3-2-1_54HWH_2017-11-20_final.stac-item
2017-11-20 10:05:49	ga_s2am_ard_3-2-1_54HWJ_2017-11-20_final.stac-item
2017-11-20 10:05:49	ga_s2am_ard_3-2-1_54HXH_2017-11-20_final.stac-item
2017-11-20 10:05:49	ga_s2am_ard_3-2-1_54HXJ_2017-11-20_final.stac-item
2017-11-20 10:05:49	ga_s2am_ard_3-2-1_54HYH_2017-11-20_final.stac-item
2017-11-20 10:05:49	ga_s2am_ard_3-2-1_54HYJ_2017-11-20_final.stac-item
2017-11-20 10:05:49	ga_s2am_ard_3-2-1_55HBC_2017-11-20_final.stac-item
2017-11-20 10:05:49	ga_s2am_ard_3-2-1_55HBD_2017-11-20_final.stac-item
2017-11-24 09:42:46	ga_s2am_ard_3-2-1_55HDD_2017-11-24_final.stac-item
2017-11-24 09:42:46	ga_s2am_ard_3-2-1_55HEC_2017-11-24_final.stac-item
2017-11-24 09:42:46	ga_s2am_ard_3-2-1_55HED_2017-11-24_final.stac-item
2017-11-24 09:42:46	ga_s2am_ard_3-2-1_55HFC_2017-11-24_final.stac-item
2017-11-24 09:42:46	ga_s2am_ard_3-2-1_55HFD_2017-11-24_final.stac-item
2017-11-24 09:42:46	ga_s2am_ard_3-2-1_55HGC_2017-11-24_final.stac-item
2017-11-24 09:42:46	ga_s2am_ard_3-2-1_55HGD_2017-11-24_final.stac-item
2017-11-27 09:55:50	ga_s2am_ard_3-2-1_54HYH_2017-11-27_final.stac-item
2017-11-27 09:55:50	ga_s2am_ard_3-2-1_54HYJ_2017-11-27_final.stac-item
2017-11-27 09:55:50	ga_s2am_ard_3-2-1_55HBC_2017-11-27_final.stac-item
2017-11-27 09:55:50	ga_s2am_ard_3-2-1_55HBD_2017-11-27_final.stac-item
2017-11-27 09:55:50	ga_s2am_ard_3-2-1_55HCC_2017-11-27_final.stac-item
2017-11-27 09:55:50	ga_s2am_ard_3-2-1_55HCD_2017-11-27_final.stac-item
2017-11-27 09:55:50	ga_s2am_ard_3-2-1_55HDD_2017-11-27_final.stac-item
2017-12-07 09:52:52	ga_s2am_ard_3-2-1_54HYH_2017-12-07_final.stac-item
2017-12-07 09:52:52	ga_s2am_ard_3-2-1_54HYJ_2017-12-07_final.stac-item
2017-12-07 09:52:52	ga_s2am_ard_3-2-1_55HBC_2017-12-07_final.stac-item
2017-12-07 09:52:52	ga_s2am_ard_3-2-1_55HBD_2017-12-07_final.stac-item
2017-12-07 09:52:52	ga_s2am_ard_3-2-1_55HCC_2017-12-07_final.stac-item
2017-12-07 09:52:52	ga_s2am_ard_3-2-1_55HCD_2017-12-07_final.stac-item
2017-12-07 09:52:52	ga_s2am_ard_3-2-1_55HDD_2017-12-07_final.stac-item
2017-12-08 09:23:51	ga_s2am_ard_3-2-1_56HLJ_2017-12-07_final.stac-item
2017-12-08 09:23:51	ga_s2am_ard_3-2-1_56HMJ_2017-12-07_final.stac-item
2017-12-11 11:11:56	ga_s2am_ard_3-2-1_51HWD_2017-12-11_final.stac-item
2017-12-11 11:11:56	ga_s2am_ard_3-2-1_51HXD_2017-12-11_final.stac-item
2017-12-11 11:11:56	ga_s2am_ard_3-2-1_51HYD_2017-12-11_final.stac-item
2017-12-12 10:43:01	ga_s2am_ard_3-2-1_53HLD_2017-12-12_final.stac-item
2017-12-12 10:43:01	ga_s2am_ard_3-2-1_53HMD_2017-12-12_final.stac-item
2019-01-31 09:55:58	ga_s2am_ard_3-2-1_55HDD_2019-01-31_final.stac-item
2019-01-31 09:56:02	ga_s2am_ard_3-2-1_55HCD_2019-01-31_final.stac-item
2019-01-31 09:56:05	ga_s2am_ard_3-2-1_55HBD_2019-01-31_final.stac-item
2019-01-31 09:56:07	ga_s2am_ard_3-2-1_54HYJ_2019-01-31_final.stac-item
2019-01-31 09:56:16	ga_s2am_ard_3-2-1_55HCC_2019-01-31_final.stac-item
2019-01-31 09:56:19	ga_s2am_ard_3-2-1_55HBC_2019-01-31_final.stac-item
2019-01-31 09:56:21	ga_s2am_ard_3-2-1_54HYH_2019-01-31_final.stac-item
2019-02-04 09:36:08	ga_s2am_ard_3-2-1_56HKH_2019-02-04_final.stac-item
2019-02-04 09:36:10	ga_s2am_ard_3-2-1_55HGC_2019-02-04_final.stac-item
2019-02-04 09:36:14	ga_s2am_ard_3-2-1_55HFC_2019-02-04_final.stac-item
2019-02-05 10:46:17	ga_s2am_ard_3-2-1_53HMD_2019-02-05_final.stac-item
2019-02-05 10:46:21	ga_s2am_ard_3-2-1_53HLD_2019-02-05_final.stac-item
2019-02-06 11:57:06	ga_s2am_ard_3-2-1_50HLH_2019-02-06_final.stac-item
2019-02-07 09:45:51	ga_s2am_ard_3-2-1_55HGD_2019-02-07_final.stac-item
2019-02-07 09:45:55	ga_s2am_ard_3-2-1_55HFD_2019-02-07_final.stac-item
2019-02-07 09:45:59	ga_s2am_ard_3-2-1_55HED_2019-02-07_final.stac-item
2019-02-07 09:46:02	ga_s2am_ard_3-2-1_55HDD_2019-02-07_final.stac-item
2019-02-07 09:46:04	ga_s2am_ard_3-2-1_55HGC_2019-02-07_final.stac-item
2019-02-07 09:46:10	ga_s2am_ard_3-2-1_55HFC_2019-02-07_final.stac-item
2019-02-07 09:46:13	ga_s2am_ard_3-2-1_55HEC_2019-02-07_final.stac-item
2019-02-17 11:26:32	ga_s2am_ard_3-2-1_51HXD_2019-02-17_final.stac-item
2019-02-17 11:26:36	ga_s2am_ard_3-2-1_51HWD_2019-02-17_final.stac-item
2019-02-17 11:26:40	ga_s2am_ard_3-2-1_51HVD_2019-02-17_final.stac-item
2019-02-17 11:26:43	ga_s2am_ard_3-2-1_51HUD_2019-02-17_final.stac-item
2019-02-17 11:26:58	ga_s2am_ard_3-2-1_51HUC_2019-02-17_final.stac-item
2019-02-22 10:36:13	ga_s2am_ard_3-2-1_53HPD_2019-02-22_final.stac-item
2019-02-22 10:36:17	ga_s2am_ard_3-2-1_53HND_2019-02-22_final.stac-item
2019-02-22 10:36:21	ga_s2am_ard_3-2-1_53HMD_2019-02-22_final.stac-item
2019-02-22 10:36:24	ga_s2am_ard_3-2-1_53HLD_2019-02-22_final.stac-item
2019-02-22 10:36:26	ga_s2am_ard_3-2-1_53HPC_2019-02-22_final.stac-item
2019-02-22 10:36:28	ga_s2am_ard_3-2-1_53HNC_2019-02-22_final.stac-item
2019-02-22 10:36:30	ga_s2am_ard_3-2-1_53HLD_2019-02-22_final.stac-item
2019-03-19 09:45:52	ga_s2am_ard_3-2-1_55HGD_2019-03-19_final.stac-item
2019-03-19 09:45:56	ga_s2am_ard_3-2-1_55HFD_2019-03-19_final.stac-item
2019-03-19 09:46:00	ga_s2am_ard_3-2-1_55HED_2019-03-19_final.stac-item
2019-03-19 09:46:03	ga_s2am_ard_3-2-1_55HDD_2019-03-19_final.stac-item
2019-03-19 09:46:04	ga_s2am_ard_3-2-1_55HGC_2019-03-19_final.stac-item
2019-03-19 09:46:10	ga_s2am_ard_3-2-1_55HFC_2019-03-19_final.stac-item
2019-03-19 09:46:14	ga_s2am_ard_3-2-1_55HEC_2019-03-19_final.stac-item
2019-03-19 11:26:33	ga_s2am_ard_3-2-1_51HXD_2019-03-19_final.stac-item
2019-03-19 11:26:37	ga_s2am_ard_3-2-1_51HWD_2019-03-19_final.stac-item
2019-03-19 11:26:41	ga_s2am_ard_3-2-1_51HVD_2019-03-19_final.stac-item
2019-03-19 11:26:44	ga_s2am_ard_3-2-1_51HUD_2019-03-19_final.stac-item
2019-03-19 11:26:59	ga_s2am_ard_3-2-1_51HUC_2019-03-19_final.stac-item
2019-04-05 11:16:38	ga_s2am_ard_3-2-1_51HYD_2019-04-05_final.stac-item
2019-04-05 11:16:41	ga_s2am_ard_3-2-1_51HXD_2019-04-05_final.stac-item
2019-04-05 11:16:45	ga_s2am_ard_3-2-1_51HWD_2019-04-05_final.stac-item
2019-04-08 11:26:45	ga_s2am_ard_3-2-1_51HVD_2019-04-08_final.stac-item
2019-04-08 11:26:48	ga_s2am_ard_3-2-1_51HUD_2019-04-08_final.stac-item
2019-04-08 11:27:03	ga_s2am_ard_3-2-1_51HUC_2019-04-08_final.stac-item
2019-04-11 09:56:03	ga_s2am_ard_3-2-1_55HDD_2019-04-11_final.stac-item
2019-04-11 09:56:07	ga_s2am_ard_3-2-1_55HCD_2019-04-11_final.stac-item
2019-04-11 09:56:10	ga_s2am_ard_3-2-1_55HBD_2019-04-11_final.stac-item
2019-04-11 09:56:12	ga_s2am_ard_3-2-1_54HYJ_2019-04-11_final.stac-item
2019-04-11 09:56:21	ga_s2am_ard_3-2-1_55HCC_2019-04-11_final.stac-item
2019-04-11 09:56:24	ga_s2am_ard_3-2-1_55HBC_2019-04-11_final.stac-item

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

Other products

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