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
2017-01-25 11:08:57	ga_s2am_ard_3-2-1_51HWD_2017-01-25_final.stac-item
2017-01-25 11:08:57	ga_s2am_ard_3-2-1_51HXD_2017-01-25_final.stac-item
2017-01-25 11:08:57	ga_s2am_ard_3-2-1_51HYD_2017-01-25_final.stac-item
2017-02-17 11:23:12	ga_s2am_ard_3-2-1_51HUC_2017-02-17_final.stac-item
2017-02-17 11:23:12	ga_s2am_ard_3-2-1_51HUD_2017-02-17_final.stac-item
2017-02-17 11:23:12	ga_s2am_ard_3-2-1_51HVC_2017-02-17_final.stac-item
2017-02-17 11:23:12	ga_s2am_ard_3-2-1_51HVD_2017-02-17_final.stac-item
2017-02-17 11:23:12	ga_s2am_ard_3-2-1_51HWD_2017-02-17_final.stac-item
2017-02-17 11:23:12	ga_s2am_ard_3-2-1_51HXD_2017-02-17_final.stac-item
2017-02-23 10:00:59	ga_s2am_ard_3-2-1_54HWH_2017-02-23_final.stac-item
2017-02-23 10:00:59	ga_s2am_ard_3-2-1_54HWJ_2017-02-23_final.stac-item
2017-02-23 10:00:59	ga_s2am_ard_3-2-1_54HXH_2017-02-23_final.stac-item
2017-02-23 10:00:59	ga_s2am_ard_3-2-1_54HXJ_2017-02-23_final.stac-item
2017-02-23 10:00:59	ga_s2am_ard_3-2-1_54HYH_2017-02-23_final.stac-item
2017-02-23 10:00:59	ga_s2am_ard_3-2-1_54HYJ_2017-02-23_final.stac-item
2017-02-23 10:00:59	ga_s2am_ard_3-2-1_55HBC_2017-02-23_final.stac-item
2017-02-23 10:00:59	ga_s2am_ard_3-2-1_55HBD_2017-02-23_final.stac-item
2017-02-26 10:15:47	ga_s2am_ard_3-2-1_54HTH_2017-02-26_final.stac-item
2017-02-26 10:15:47	ga_s2am_ard_3-2-1_54HTJ_2017-02-26_final.stac-item
2017-02-26 10:15:47	ga_s2am_ard_3-2-1_54HUH_2017-02-26_final.stac-item
2017-02-26 10:15:47	ga_s2am_ard_3-2-1_54HUJ_2017-02-26_final.stac-item
2017-02-26 10:15:47	ga_s2am_ard_3-2-1_54HVH_2017-02-26_final.stac-item
2017-02-26 10:15:47	ga_s2am_ard_3-2-1_54HVJ_2017-02-26_final.stac-item
2017-02-26 10:15:47	ga_s2am_ard_3-2-1_54HWJ_2017-02-26_final.stac-item
2017-03-04 10:31:53	ga_s2am_ard_3-2-1_53HLD_2017-03-04_final.stac-item
2017-03-04 10:31:53	ga_s2am_ard_3-2-1_53HMD_2017-03-04_final.stac-item
2017-03-04 10:31:53	ga_s2am_ard_3-2-1_53HNC_2017-03-04_final.stac-item
2017-03-04 10:31:53	ga_s2am_ard_3-2-1_53HND_2017-03-04_final.stac-item
2017-03-04 10:31:53	ga_s2am_ard_3-2-1_53HPC_2017-03-04_final.stac-item
2017-03-04 10:31:53	ga_s2am_ard_3-2-1_53HPD_2017-03-04_final.stac-item
2017-03-06 11:11:54	ga_s2am_ard_3-2-1_51HWD_2017-03-06_final.stac-item
2017-03-06 11:11:54	ga_s2am_ard_3-2-1_51HXD_2017-03-06_final.stac-item
2017-03-06 11:11:54	ga_s2am_ard_3-2-1_51HYD_2017-03-06_final.stac-item
2017-03-08 10:10:59	ga_s2am_ard_3-2-1_54HTH_2017-03-08_final.stac-item
2017-03-08 10:10:59	ga_s2am_ard_3-2-1_54HTJ_2017-03-08_final.stac-item
2017-03-08 10:10:59	ga_s2am_ard_3-2-1_54HUH_2017-03-08_final.stac-item
2017-03-08 10:10:59	ga_s2am_ard_3-2-1_54HUJ_2017-03-08_final.stac-item
2017-03-08 10:10:59	ga_s2am_ard_3-2-1_54HVH_2017-03-08_final.stac-item
2017-03-08 10:10:59	ga_s2am_ard_3-2-1_54HVJ_2017-03-08_final.stac-item
2017-03-08 10:10:59	ga_s2am_ard_3-2-1_54HWJ_2017-03-08_final.stac-item
2017-03-26 11:11:44	ga_s2am_ard_3-2-1_51HWD_2017-03-26_final.stac-item
2017-03-26 11:11:44	ga_s2am_ard_3-2-1_51HXD_2017-03-26_final.stac-item
2017-03-26 11:11:44	ga_s2am_ard_3-2-1_51HYD_2017-03-26_final.stac-item
2017-03-29 09:42:08	ga_s2am_ard_3-2-1_55HDD_2017-03-29_final.stac-item
2017-03-29 09:42:08	ga_s2am_ard_3-2-1_55HEC_2017-03-29_final.stac-item
2017-03-29 09:42:08	ga_s2am_ard_3-2-1_55HED_2017-03-29_final.stac-item
2017-03-29 09:42:08	ga_s2am_ard_3-2-1_55HFC_2017-03-29_final.stac-item
2017-03-29 09:42:08	ga_s2am_ard_3-2-1_55HFD_2017-03-29_final.stac-item
2017-03-29 09:42:08	ga_s2am_ard_3-2-1_55HGC_2017-03-29_final.stac-item
2017-03-29 09:42:08	ga_s2am_ard_3-2-1_55HGD_2017-03-29_final.stac-item
2021-05-22 10:36:18	ga_s2am_ard_3-2-1_53HPD_2021-05-22_final.stac-item
2021-05-22 10:36:22	ga_s2am_ard_3-2-1_53HND_2021-05-22_final.stac-item
2021-05-22 10:36:25	ga_s2am_ard_3-2-1_53HMD_2021-05-22_final.stac-item
2021-05-22 10:36:29	ga_s2am_ard_3-2-1_53HLD_2021-05-22_final.stac-item
2021-05-22 10:36:32	ga_s2am_ard_3-2-1_53HPC_2021-05-22_final.stac-item
2021-05-22 10:36:36	ga_s2am_ard_3-2-1_53HNC_2021-05-22_final.stac-item
2021-05-22 10:36:40	ga_s2am_ard_3-2-1_53HMC_2021-05-22_final
2021-06-01 10:36:18	ga_s2am_ard_3-2-1_53HPD_2021-06-01_final.stac-item
2021-06-01 10:36:22	ga_s2am_ard_3-2-1_53HND_2021-06-01_final.stac-item
2021-06-01 10:36:25	ga_s2am_ard_3-2-1_53HMD_2021-06-01_final.stac-item
2021-06-01 10:36:29	ga_s2am_ard_3-2-1_53HLD_2021-06-01_final.stac-item
2021-06-01 10:36:33	ga_s2am_ard_3-2-1_53HPC_2021-06-01_final.stac-item
2021-06-01 10:36:36	ga_s2am_ard_3-2-1_53HNC_2021-06-01_final.stac-item
2021-06-01 10:36:40	ga_s2am_ard_3-2-1_53HMC_2021-06-01_final
2021-06-02 10:06:05	ga_s2am_ard_3-2-1_55HBD_2021-06-02_final.stac-item
2021-06-02 10:06:07	ga_s2am_ard_3-2-1_54HYJ_2021-06-02_final.stac-item
2021-06-02 10:06:11	ga_s2am_ard_3-2-1_54HXJ_2021-06-02_final.stac-item
2021-06-02 10:06:15	ga_s2am_ard_3-2-1_54HWJ_2021-06-02_final.stac-item
2021-06-02 10:06:19	ga_s2am_ard_3-2-1_55HBC_2021-06-02_final.stac-item
2021-06-02 10:06:21	ga_s2am_ard_3-2-1_54HYH_2021-06-02_final.stac-item
2021-06-02 10:06:25	ga_s2am_ard_3-2-1_54HXH_2021-06-02_final.stac-item
2021-06-02 10:06:29	ga_s2am_ard_3-2-1_54HWH_2021-06-02_final.stac-item
2021-10-03 11:57:02	ga_s2am_ard_3-2-1_50HMJ_2021-10-03_final.stac-item
2021-10-03 11:57:03	ga_s2am_ard_3-2-1_50HLJ_2021-10-03_final.stac-item
2021-10-03 11:57:10	ga_s2am_ard_3-2-1_50HMH_2021-10-03_final.stac-item
2021-10-03 11:57:14	ga_s2am_ard_3-2-1_50HLH_2021-10-03_final.stac-item
2021-10-07 09:56:15	ga_s2am_ard_3-2-1_54HYJ_2021-10-07_final.stac-item
2021-10-11 09:35:53	ga_s2am_ard_3-2-1_56HMJ_2021-10-11_final.stac-item
2021-10-11 09:35:58	ga_s2am_ard_3-2-1_56HLJ_2021-10-11_final.stac-item
2021-10-11 09:36:02	ga_s2am_ard_3-2-1_56HKJ_2021-10-11_final.stac-item
2021-10-11 09:36:04	ga_s2am_ard_3-2-1_55HGD_2021-10-11_final.stac-item
2021-10-11 09:36:08	ga_s2am_ard_3-2-1_55HFD_2021-10-11_final.stac-item
2021-10-11 09:36:13	ga_s2am_ard_3-2-1_56HLH_2021-10-11_final
2021-10-11 09:36:17	ga_s2am_ard_3-2-1_56HKH_2021-10-11_final.stac-item
2021-10-11 09:36:18	ga_s2am_ard_3-2-1_55HGC_2021-10-11_final.stac-item
2021-10-11 09:36:22	ga_s2am_ard_3-2-1_55HFC_2021-10-11_final.stac-item
2021-10-17 09:56:07	ga_s2am_ard_3-2-1_55HDD_2021-10-17_final.stac-item
2021-10-17 09:56:10	ga_s2am_ard_3-2-1_55HCD_2021-10-17_final.stac-item
2021-10-17 09:56:14	ga_s2am_ard_3-2-1_55HBD_2021-10-17_final.stac-item
2021-10-17 09:56:15	ga_s2am_ard_3-2-1_54HYJ_2021-10-17_final.stac-item
2021-10-17 09:56:21	ga_s2am_ard_3-2-1_55HDC_2021-10-17_final.stac-item
2021-10-17 09:56:25	ga_s2am_ard_3-2-1_55HCC_2021-10-17_final.stac-item
2021-10-21 09:35:53	ga_s2am_ard_3-2-1_56HMJ_2021-10-21_final.stac-item
2021-10-21 09:35:59	ga_s2am_ard_3-2-1_56HLJ_2021-10-21_final.stac-item
2021-10-21 09:36:02	ga_s2am_ard_3-2-1_56HKJ_2021-10-21_final.stac-item
2021-10-21 09:36:04	ga_s2am_ard_3-2-1_55HGD_2021-10-21_final.stac-item
2021-10-21 09:36:08	ga_s2am_ard_3-2-1_55HFD_2021-10-21_final.stac-item
2021-10-21 09:36:13	ga_s2am_ard_3-2-1_56HLH_2021-10-21_final
2021-10-21 09:36:17	ga_s2am_ard_3-2-1_56HKH_2021-10-21_final.stac-item
2021-10-21 09:36:18	ga_s2am_ard_3-2-1_55HGC_2021-10-21_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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