Search ga_s2am_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. 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 (e.g. ‘epsg:32654’) :

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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. For Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s2cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s2cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s2cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s2cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2018-04-05 10:17:06	ga_s2am_ard_3-2-1_54LWK_2018-04-05_final
2018-04-05 10:17:06	ga_s2am_ard_3-2-1_54LYJ_2018-04-05_final
2018-04-05 10:17:06	ga_s2am_ard_3-2-1_54LXK_2018-04-05_final
2018-04-05 10:17:06	ga_s2am_ard_3-2-1_54LWJ_2018-04-05_final
2018-04-05 10:17:06	ga_s2am_ard_3-2-1_54LXJ_2018-04-05_final
2018-04-05 10:17:06	ga_s2am_ard_3-2-1_54LZJ_2018-04-05_final
2018-04-06 11:26:20	ga_s2am_ard_3-2-1_51LWE_2018-04-06_final
2018-04-06 11:26:20	ga_s2am_ard_3-2-1_51LXD_2018-04-06_final
2018-04-06 11:26:20	ga_s2am_ard_3-2-1_51LYD_2018-04-06_final
2018-04-06 11:26:20	ga_s2am_ard_3-2-1_51LZD_2018-04-06_final
2018-04-06 11:26:20	ga_s2am_ard_3-2-1_52LBJ_2018-04-06_final
2018-04-12 10:10:23	ga_s2am_ard_3-2-1_54LZJ_2018-04-12_final
2018-04-12 10:10:23	ga_s2am_ard_3-2-1_54LYJ_2018-04-12_final
2018-04-12 10:10:23	ga_s2am_ard_3-2-1_55LCD_2018-04-12_final
2018-04-12 10:10:23	ga_s2am_ard_3-2-1_55LCE_2018-04-12_final
2018-04-12 10:10:23	ga_s2am_ard_3-2-1_55LBD_2018-04-12_final
2018-04-12 10:10:23	ga_s2am_ard_3-2-1_55LBE_2018-04-12_final
2018-04-12 11:47:43	ga_s2am_ard_3-2-1_51LUE_2018-04-12_final
2018-04-12 11:47:43	ga_s2am_ard_3-2-1_51LUD_2018-04-12_final
2018-04-15 10:17:07	ga_s2am_ard_3-2-1_54LWK_2018-04-15_final
2018-04-15 10:17:07	ga_s2am_ard_3-2-1_54LWJ_2018-04-15_final
2018-04-15 10:17:07	ga_s2am_ard_3-2-1_54LXK_2018-04-15_final
2018-04-15 10:17:07	ga_s2am_ard_3-2-1_54LYJ_2018-04-15_final
2018-04-15 10:17:07	ga_s2am_ard_3-2-1_54LXJ_2018-04-15_final
2018-04-15 10:17:07	ga_s2am_ard_3-2-1_54LZJ_2018-04-15_final
2018-04-16 11:27:23	ga_s2am_ard_3-2-1_51LXD_2018-04-16_final
2018-04-16 11:27:23	ga_s2am_ard_3-2-1_51LWE_2018-04-16_final
2018-04-16 11:27:23	ga_s2am_ard_3-2-1_51LYD_2018-04-16_final
2018-04-16 11:27:23	ga_s2am_ard_3-2-1_51LZD_2018-04-16_final
2018-04-16 11:27:23	ga_s2am_ard_3-2-1_52LBJ_2018-04-16_final
2018-04-18 10:27:09	ga_s2am_ard_3-2-1_54LWJ_2018-04-18_final
2018-04-18 10:27:09	ga_s2am_ard_3-2-1_54LWK_2018-04-18_final
2018-04-18 10:27:09	ga_s2am_ard_3-2-1_54LUJ_2018-04-18_final
2018-04-18 10:27:09	ga_s2am_ard_3-2-1_54LVK_2018-04-18_final
2018-04-18 10:27:09	ga_s2am_ard_3-2-1_54LVJ_2018-04-18_final
2019-05-11 11:31:33	ga_s2am_ard_3-2-1_52LBJ_2019-05-11_final
2019-05-11 11:31:34	ga_s2am_ard_3-2-1_51LWE_2019-05-11_final
2019-05-11 11:31:39	ga_s2am_ard_3-2-1_51LZD_2019-05-11_final
2019-05-11 11:31:43	ga_s2am_ard_3-2-1_51LYD_2019-05-11_final
2019-05-11 11:31:46	ga_s2am_ard_3-2-1_51LXD_2019-05-11_final
2019-05-12 11:01:13	ga_s2am_ard_3-2-1_53LLE_2019-05-12_final
2019-05-12 11:01:16	ga_s2am_ard_3-2-1_53LKE_2019-05-12_final
2019-05-12 11:01:27	ga_s2am_ard_3-2-1_53LLD_2019-05-12_final
2019-05-12 11:01:31	ga_s2am_ard_3-2-1_53LKD_2019-05-12_final
2019-05-12 11:01:32	ga_s2am_ard_3-2-1_52LHJ_2019-05-12_final
2019-05-12 11:01:35	ga_s2am_ard_3-2-1_52LGJ_2019-05-12_final
2019-05-14 11:41:30	ga_s2am_ard_3-2-1_51LWE_2019-05-14_final
2019-05-14 11:41:33	ga_s2am_ard_3-2-1_51LVE_2019-05-14_final
2019-05-14 11:41:37	ga_s2am_ard_3-2-1_51LUE_2019-05-14_final
2019-05-14 11:41:51	ga_s2am_ard_3-2-1_51LUD_2019-05-14_final
2019-05-16 10:41:12	ga_s2am_ard_3-2-1_53LPE_2019-05-16_final
2019-05-16 10:41:24	ga_s2am_ard_3-2-1_53LQD_2019-05-16_final
2019-05-16 10:41:27	ga_s2am_ard_3-2-1_53LPD_2019-05-16_final
2019-05-18 11:21:36	ga_s2am_ard_3-2-1_52LDJ_2019-05-18_final
2019-05-18 11:21:39	ga_s2am_ard_3-2-1_52LCJ_2019-05-18_final
2019-05-18 11:21:42	ga_s2am_ard_3-2-1_52LBJ_2019-05-18_final
2019-05-18 11:21:44	ga_s2am_ard_3-2-1_51LZD_2019-05-18_final
2019-05-26 10:41:12	ga_s2am_ard_3-2-1_53LPE_2019-05-26_final
2019-05-26 10:41:23	ga_s2am_ard_3-2-1_53LQD_2019-05-26_final
2019-05-26 10:41:26	ga_s2am_ard_3-2-1_53LPD_2019-05-26_final
2019-05-27 10:10:53	ga_s2am_ard_3-2-1_55LCE_2019-05-27_final
2019-05-27 10:10:56	ga_s2am_ard_3-2-1_55LBE_2019-05-27_final
2019-05-27 10:11:08	ga_s2am_ard_3-2-1_55LCD_2019-05-27_final
2019-05-27 10:11:11	ga_s2am_ard_3-2-1_55LBD_2019-05-27_final
2019-05-27 10:11:12	ga_s2am_ard_3-2-1_54LZJ_2019-05-27_final
2019-05-27 10:11:16	ga_s2am_ard_3-2-1_54LYJ_2019-05-27_final
2019-06-03 10:01:14	ga_s2am_ard_3-2-1_55LCD_2019-06-03_final
2019-06-03 11:41:35	ga_s2am_ard_3-2-1_51LUE_2019-06-03_final
2019-06-03 11:41:49	ga_s2am_ard_3-2-1_51LUD_2019-06-03_final
2019-06-04 11:11:18	ga_s2am_ard_3-2-1_52LFK_2019-06-04_final
2019-06-04 11:11:21	ga_s2am_ard_3-2-1_52LEK_2019-06-04_final
2019-06-04 11:11:29	ga_s2am_ard_3-2-1_52LGJ_2019-06-04_final
2019-06-04 11:11:32	ga_s2am_ard_3-2-1_52LFJ_2019-06-04_final
2019-06-04 11:11:36	ga_s2am_ard_3-2-1_52LEJ_2019-06-04_final
2019-06-04 11:11:39	ga_s2am_ard_3-2-1_52LDJ_2019-06-04_final
2019-06-06 11:51:29	ga_s2am_ard_3-2-1_51LUE_2019-06-06_final
2019-06-06 11:51:41	ga_s2am_ard_3-2-1_51LUD_2019-06-06_final
2019-06-08 10:51:06	ga_s2am_ard_3-2-1_53LPE_2019-06-08_final
2019-06-08 10:51:10	ga_s2am_ard_3-2-1_53LNE_2019-06-08_final
2019-06-08 10:51:13	ga_s2am_ard_3-2-1_53LME_2019-06-08_final
2019-06-08 10:51:16	ga_s2am_ard_3-2-1_53LLE_2019-06-08_final
2019-06-08 10:51:20	ga_s2am_ard_3-2-1_53LPD_2019-06-08_final
2019-06-08 10:51:24	ga_s2am_ard_3-2-1_53LND_2019-06-08_final
2019-06-08 10:51:26	ga_s2am_ard_3-2-1_53LMD_2019-06-08_final
2019-06-08 10:51:27	ga_s2am_ard_3-2-1_53LLD_2019-06-08_final
2019-06-25 10:41:13	ga_s2am_ard_3-2-1_53LPE_2019-06-25_final
2019-06-25 10:41:24	ga_s2am_ard_3-2-1_53LQD_2019-06-25_final
2019-06-25 10:41:28	ga_s2am_ard_3-2-1_53LPD_2019-06-25_final
2019-07-03 10:01:16	ga_s2am_ard_3-2-1_55LCD_2019-07-03_final
2019-07-04 11:11:21	ga_s2am_ard_3-2-1_52LFK_2019-07-04_final
2019-07-04 11:11:24	ga_s2am_ard_3-2-1_52LEK_2019-07-04_final
2019-07-04 11:11:32	ga_s2am_ard_3-2-1_52LGJ_2019-07-04_final
2019-07-04 11:11:35	ga_s2am_ard_3-2-1_52LFJ_2019-07-04_final
2019-07-04 11:11:39	ga_s2am_ard_3-2-1_52LEJ_2019-07-04_final
2019-07-04 11:11:42	ga_s2am_ard_3-2-1_52LDJ_2019-07-04_final
2019-07-06 10:10:55	ga_s2am_ard_3-2-1_55LCE_2019-07-06_final
2019-07-06 10:10:58	ga_s2am_ard_3-2-1_55LBE_2019-07-06_final
2019-07-06 10:11:10	ga_s2am_ard_3-2-1_55LCD_2019-07-06_final
2019-07-06 10:11:13	ga_s2am_ard_3-2-1_55LBD_2019-07-06_final
2019-07-06 10:11:14	ga_s2am_ard_3-2-1_54LZJ_2019-07-06_final

Return to ga_s2am_ard_3 whole collection overview

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

GA Collection 3

USGS Products

Collection 2 NBAR

Collection 2 NBAR Tiled

Pixel Quality

Collection 2 Level1

Tidal

Water Observations

Fractional Cover

Sentinel 2

Ingested Pixel Quality

Geomedians

TMAD

Telemetry data

Summary

Other Products

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