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
2016-02-09 10:03:07	ga_s2am_ard_3-2-1_54HWH_2016-02-09_final.stac-item
2016-02-09 10:03:07	ga_s2am_ard_3-2-1_54HWJ_2016-02-09_final.stac-item
2016-02-09 10:03:07	ga_s2am_ard_3-2-1_54HXH_2016-02-09_final.stac-item
2016-02-09 10:03:07	ga_s2am_ard_3-2-1_54HXJ_2016-02-09_final.stac-item
2016-02-09 10:03:07	ga_s2am_ard_3-2-1_54HYH_2016-02-09_final.stac-item
2016-02-09 10:03:07	ga_s2am_ard_3-2-1_54HYJ_2016-02-09_final.stac-item
2016-02-09 10:03:07	ga_s2am_ard_3-2-1_55HBC_2016-02-09_final.stac-item
2016-02-09 10:03:07	ga_s2am_ard_3-2-1_55HBD_2016-02-09_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50HLH_2016-03-03_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50HLJ_2016-03-03_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50HMJ_2016-03-03_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
2017-11-27 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
2017-11-30 10:01:36	ga_s2am_ard_3-2-1_54HWH_2017-11-30_final.stac-item
2017-11-30 10:01:36	ga_s2am_ard_3-2-1_54HWJ_2017-11-30_final.stac-item
2017-11-30 10:01:36	ga_s2am_ard_3-2-1_54HXH_2017-11-30_final.stac-item
2017-11-30 10:01:36	ga_s2am_ard_3-2-1_54HXJ_2017-11-30_final.stac-item
2017-11-30 10:01:36	ga_s2am_ard_3-2-1_54HYH_2017-11-30_final.stac-item
2017-11-30 10:01:36	ga_s2am_ard_3-2-1_54HYJ_2017-11-30_final.stac-item
2017-11-30 10:01:36	ga_s2am_ard_3-2-1_55HBC_2017-11-30_final.stac-item
2017-11-30 10:01:36	ga_s2am_ard_3-2-1_55HBD_2017-11-30_final.stac-item
2017-12-10 10:05:46	ga_s2am_ard_3-2-1_54HWH_2017-12-10_final.stac-item
2017-12-10 10:05:46	ga_s2am_ard_3-2-1_54HWJ_2017-12-10_final.stac-item
2017-12-10 10:05:46	ga_s2am_ard_3-2-1_54HXH_2017-12-10_final.stac-item
2017-12-10 10:05:46	ga_s2am_ard_3-2-1_54HXJ_2017-12-10_final.stac-item
2017-12-10 10:05:46	ga_s2am_ard_3-2-1_54HYH_2017-12-10_final.stac-item
2017-12-10 10:05:46	ga_s2am_ard_3-2-1_54HYJ_2017-12-10_final.stac-item
2017-12-10 10:05:46	ga_s2am_ard_3-2-1_55HBC_2017-12-10_final.stac-item
2017-12-10 10:05:46	ga_s2am_ard_3-2-1_55HBD_2017-12-10_final.stac-item
2017-12-13 10:11:26	ga_s2am_ard_3-2-1_54HTH_2017-12-13_final.stac-item
2017-12-13 10:11:26	ga_s2am_ard_3-2-1_54HTJ_2017-12-13_final.stac-item
2017-12-13 10:11:26	ga_s2am_ard_3-2-1_54HUH_2017-12-13_final.stac-item
2017-12-13 10:11:26	ga_s2am_ard_3-2-1_54HUJ_2017-12-13_final.stac-item
2017-12-13 10:11:26	ga_s2am_ard_3-2-1_54HVJ_2017-12-13_final.stac-item
2017-12-13 10:11:26	ga_s2am_ard_3-2-1_54HWJ_2017-12-13_final.stac-item
2017-12-20 10:01:36	ga_s2am_ard_3-2-1_54HWH_2017-12-20_final.stac-item
2017-12-20 10:01:36	ga_s2am_ard_3-2-1_54HWJ_2017-12-20_final.stac-item
2017-12-20 10:01:36	ga_s2am_ard_3-2-1_54HXH_2017-12-20_final.stac-item
2017-12-20 10:01:36	ga_s2am_ard_3-2-1_54HXJ_2017-12-20_final.stac-item
2017-12-20 10:01:36	ga_s2am_ard_3-2-1_54HYH_2017-12-20_final.stac-item
2018-10-24 09:22:42	ga_s2am_ard_3-2-1_56HLJ_2018-10-23_final.stac-item
2018-10-24 09:22:42	ga_s2am_ard_3-2-1_56HMJ_2018-10-23_final.stac-item
2018-10-26 11:46:33	ga_s2am_ard_3-2-1_50HMJ_2018-10-26_final.stac-item
2018-10-26 11:46:33	ga_s2am_ard_3-2-1_50HNH_2018-10-26_final.stac-item
2018-10-26 11:46:33	ga_s2am_ard_3-2-1_50HNJ_2018-10-26_final.stac-item
2018-10-26 11:46:33	ga_s2am_ard_3-2-1_50HPH_2018-10-26_final.stac-item
2018-10-26 11:46:33	ga_s2am_ard_3-2-1_50HPJ_2018-10-26_final.stac-item
2018-10-26 11:46:33	ga_s2am_ard_3-2-1_50HQH_2018-10-26_final.stac-item
2018-10-26 11:46:33	ga_s2am_ard_3-2-1_50HQJ_2018-10-26_final.stac-item
2018-10-27 09:32:37	ga_s2am_ard_3-2-1_56HKH_2018-10-27_final.stac-item
2018-10-27 09:32:37	ga_s2am_ard_3-2-1_56HKJ_2018-10-27_final.stac-item
2018-10-27 09:32:37	ga_s2am_ard_3-2-1_56HLJ_2018-10-27_final.stac-item
2018-10-27 09:32:37	ga_s2am_ard_3-2-1_56HMJ_2018-10-27_final.stac-item
2018-10-27 09:32:37	ga_s2am_ard_3-2-1_55HFC_2018-10-27_final.stac-item
2018-10-27 09:32:37	ga_s2am_ard_3-2-1_55HFD_2018-10-27_final.stac-item
2018-10-27 09:32:37	ga_s2am_ard_3-2-1_55HGC_2018-10-27_final.stac-item
2018-10-27 09:32:37	ga_s2am_ard_3-2-1_55HGD_2018-10-27_final.stac-item
2018-11-08 11:56:46	ga_s2am_ard_3-2-1_50HMJ_2018-11-08_final.stac-item
2018-11-08 11:56:50	ga_s2am_ard_3-2-1_50HLJ_2018-11-08_final.stac-item
2019-03-08 10:16:04	ga_s2am_ard_3-2-1_54HWJ_2019-03-08_final.stac-item
2019-03-08 10:16:07	ga_s2am_ard_3-2-1_54HVJ_2019-03-08_final.stac-item
2019-03-08 10:16:11	ga_s2am_ard_3-2-1_54HUJ_2019-03-08_final.stac-item
2019-03-08 10:16:15	ga_s2am_ard_3-2-1_54HTJ_2019-03-08_final.stac-item
2019-03-08 10:16:25	ga_s2am_ard_3-2-1_54HUH_2019-03-08_final.stac-item
2019-03-08 10:16:28	ga_s2am_ard_3-2-1_54HTH_2019-03-08_final.stac-item
2019-03-12 11:36:38	ga_s2am_ard_3-2-1_51HUD_2019-03-12_final.stac-item
2019-03-12 11:36:42	ga_s2am_ard_3-2-1_51HTD_2019-03-12_final.stac-item
2019-03-12 11:36:44	ga_s2am_ard_3-2-1_50HQJ_2019-03-12_final.stac-item
2019-03-12 11:36:47	ga_s2am_ard_3-2-1_50HPJ_2019-03-12_final.stac-item
2019-03-12 11:36:53	ga_s2am_ard_3-2-1_51HUC_2019-03-12_final.stac-item
2019-03-12 11:36:56	ga_s2am_ard_3-2-1_51HTC_2019-03-12_final.stac-item
2019-03-12 11:36:58	ga_s2am_ard_3-2-1_50HQH_2019-03-12_final.stac-item
2019-03-12 11:37:02	ga_s2am_ard_3-2-1_50HPH_2019-03-12_final.stac-item
2019-07-20 11:36:48	ga_s2am_ard_3-2-1_51HUD_2019-07-20_final.stac-item
2019-07-20 11:36:51	ga_s2am_ard_3-2-1_51HTD_2019-07-20_final.stac-item
2019-07-20 11:36:53	ga_s2am_ard_3-2-1_50HQJ_2019-07-20_final.stac-item
2019-07-20 11:36:57	ga_s2am_ard_3-2-1_50HPJ_2019-07-20_final.stac-item
2019-07-20 11:37:02	ga_s2am_ard_3-2-1_51HUC_2019-07-20_final.stac-item
2019-07-20 11:37:06	ga_s2am_ard_3-2-1_51HTC_2019-07-20_final.stac-item
2019-07-20 11:37:08	ga_s2am_ard_3-2-1_50HQH_2019-07-20_final.stac-item
2019-07-20 11:37:12	ga_s2am_ard_3-2-1_50HPH_2019-07-20_final.stac-item
2019-07-21 09:25:59	ga_s2am_ard_3-2-1_56HMJ_2019-07-20_final.stac-item
2019-07-21 09:26:02	ga_s2am_ard_3-2-1_56HLJ_2019-07-20_final.stac-item
2019-07-24 11:16:42	ga_s2am_ard_3-2-1_51HYD_2019-07-24_final.stac-item
2019-07-24 11:16:46	ga_s2am_ard_3-2-1_51HXD_2019-07-24_final.stac-item
2019-07-24 11:16:49	ga_s2am_ard_3-2-1_51HWD_2019-07-24_final.stac-item
2019-08-10 09:25:58	ga_s2am_ard_3-2-1_56HMJ_2019-08-09_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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