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
2016-10-21 10:52:12	ga_s2am_ard_3-2-1_52KHV_2016-10-21_final
2016-10-21 10:52:12	ga_s2am_ard_3-2-1_52KGV_2016-10-21_final
2016-10-21 10:52:12	ga_s2am_ard_3-2-1_52KHU_2016-10-21_final
2016-10-21 10:52:12	ga_s2am_ard_3-2-1_53KKQ_2016-10-21_final
2016-10-21 10:52:12	ga_s2am_ard_3-2-1_53KLQ_2016-10-21_final
2016-10-21 10:52:12	ga_s2am_ard_3-2-1_53KMQ_2016-10-21_final
2016-10-27 09:32:14	ga_s2am_ard_3-2-1_56KLV_2016-10-27_final
2016-11-01 12:02:47	ga_s2am_ard_3-2-1_49KHP_2016-11-01_final
2016-11-01 12:02:47	ga_s2am_ard_3-2-1_49KGQ_2016-11-01_final
2016-11-01 12:02:47	ga_s2am_ard_3-2-1_50KMV_2016-11-01_final
2016-11-01 12:02:47	ga_s2am_ard_3-2-1_50KKV_2016-11-01_final
2016-11-01 12:02:47	ga_s2am_ard_3-2-1_49KHQ_2016-11-01_final
2016-11-01 12:02:47	ga_s2am_ard_3-2-1_50KLV_2016-11-01_final
2016-11-02 09:51:03	ga_s2am_ard_3-2-1_55KEQ_2016-11-02_final
2016-11-02 09:51:03	ga_s2am_ard_3-2-1_55KFQ_2016-11-02_final
2016-11-02 09:51:03	ga_s2am_ard_3-2-1_55KGQ_2016-11-02_final
2016-11-02 09:51:03	ga_s2am_ard_3-2-1_55KDQ_2016-11-02_final
2016-11-02 11:32:48	ga_s2am_ard_3-2-1_51KXQ_2016-11-02_final
2016-11-02 11:32:48	ga_s2am_ard_3-2-1_51KUQ_2016-11-02_final
2016-11-02 11:32:48	ga_s2am_ard_3-2-1_51KVQ_2016-11-02_final
2016-11-02 11:32:48	ga_s2am_ard_3-2-1_51KWQ_2016-11-02_final
2016-11-03 10:59:53	ga_s2am_ard_3-2-1_52KDV_2016-11-03_final
2016-11-03 10:59:53	ga_s2am_ard_3-2-1_52KEV_2016-11-03_final
2016-11-03 10:59:53	ga_s2am_ard_3-2-1_52KFV_2016-11-03_final
2016-11-04 12:13:19	ga_s2am_ard_3-2-1_49KHP_2016-11-04_final
2016-11-05 10:00:30	ga_s2am_ard_3-2-1_54KZU_2016-11-05_final
2016-11-05 10:00:30	ga_s2am_ard_3-2-1_54KZV_2016-11-05_final
2016-11-05 11:39:53	ga_s2am_ard_3-2-1_51KTQ_2016-11-05_final
2016-11-06 09:32:20	ga_s2am_ard_3-2-1_56KLV_2016-11-06_final
2016-11-08 10:12:13	ga_s2am_ard_3-2-1_54KYV_2016-11-08_final
2016-11-08 10:12:13	ga_s2am_ard_3-2-1_54KZU_2016-11-08_final
2016-11-08 10:12:13	ga_s2am_ard_3-2-1_54KXV_2016-11-08_final
2016-11-08 10:12:13	ga_s2am_ard_3-2-1_54KWV_2016-11-08_final
2016-11-08 10:12:13	ga_s2am_ard_3-2-1_55KBQ_2016-11-08_final
2016-11-08 10:12:13	ga_s2am_ard_3-2-1_54KZV_2016-11-08_final
2016-11-12 11:33:14	ga_s2am_ard_3-2-1_51KXQ_2016-11-12_final
2016-11-12 11:33:14	ga_s2am_ard_3-2-1_51KWQ_2016-11-12_final
2016-11-12 11:33:14	ga_s2am_ard_3-2-1_51KVQ_2016-11-12_final
2016-11-12 11:33:14	ga_s2am_ard_3-2-1_51KUQ_2016-11-12_final
2016-11-15 10:03:10	ga_s2am_ard_3-2-1_54KZU_2016-11-15_final
2016-11-15 10:03:10	ga_s2am_ard_3-2-1_54KZV_2016-11-15_final
2016-11-15 10:03:10	ga_s2am_ard_3-2-1_55KDQ_2016-11-15_final
2016-11-15 10:03:10	ga_s2am_ard_3-2-1_55KBQ_2016-11-15_final
2016-11-15 10:03:10	ga_s2am_ard_3-2-1_55KCQ_2016-11-15_final
2016-11-15 11:34:43	ga_s2am_ard_3-2-1_50KRV_2016-11-15_final
2016-11-15 11:34:43	ga_s2am_ard_3-2-1_50KQV_2016-11-15_final
2016-11-15 11:34:43	ga_s2am_ard_3-2-1_51KUQ_2016-11-15_final
2016-11-15 11:34:43	ga_s2am_ard_3-2-1_51KTQ_2016-11-15_final
2016-11-15 11:34:43	ga_s2am_ard_3-2-1_50KPV_2016-11-15_final
2016-11-15 11:34:43	ga_s2am_ard_3-2-1_50KRU_2016-11-15_final
2016-11-16 11:11:49	ga_s2am_ard_3-2-1_51KZP_2016-11-16_final
2016-11-16 11:11:49	ga_s2am_ard_3-2-1_51KZQ_2016-11-16_final
2016-11-16 11:11:49	ga_s2am_ard_3-2-1_52KBV_2016-11-16_final
2016-11-16 11:11:49	ga_s2am_ard_3-2-1_52KDV_2016-11-16_final
2016-11-16 11:11:49	ga_s2am_ard_3-2-1_52KEV_2016-11-16_final
2016-11-16 11:11:49	ga_s2am_ard_3-2-1_52KCV_2016-11-16_final
2018-10-17 11:12:52	ga_s2am_ard_3-2-1_51KZP_2018-10-17_final
2018-10-17 11:12:52	ga_s2am_ard_3-2-1_51KZQ_2018-10-17_final
2018-10-17 11:12:52	ga_s2am_ard_3-2-1_52KBV_2018-10-17_final
2018-10-17 11:12:52	ga_s2am_ard_3-2-1_52KDV_2018-10-17_final
2018-10-17 11:12:52	ga_s2am_ard_3-2-1_52KEV_2018-10-17_final
2018-10-17 11:12:52	ga_s2am_ard_3-2-1_52KCV_2018-10-17_final
2018-10-18 10:37:24	ga_s2am_ard_3-2-1_53KLQ_2018-10-18_final
2018-10-18 10:37:24	ga_s2am_ard_3-2-1_53KMQ_2018-10-18_final
2018-10-18 10:37:24	ga_s2am_ard_3-2-1_53KNQ_2018-10-18_final
2018-10-18 10:37:24	ga_s2am_ard_3-2-1_53KPQ_2018-10-18_final
2018-10-20 11:23:51	ga_s2am_ard_3-2-1_51KWQ_2018-10-20_final
2018-10-20 11:23:51	ga_s2am_ard_3-2-1_51KXQ_2018-10-20_final
2018-10-20 11:23:51	ga_s2am_ard_3-2-1_51KYQ_2018-10-20_final
2018-10-20 11:23:51	ga_s2am_ard_3-2-1_51KZQ_2018-10-20_final
2018-10-23 11:33:19	ga_s2am_ard_3-2-1_51KUQ_2018-10-23_final
2018-10-24 10:59:59	ga_s2am_ard_3-2-1_52KEV_2018-10-24_final
2018-10-24 10:59:59	ga_s2am_ard_3-2-1_52KGV_2018-10-24_final
2018-10-27 11:13:53	ga_s2am_ard_3-2-1_51KZP_2018-10-27_final
2018-11-03 10:57:12	ga_s2am_ard_3-2-1_52KDV_2018-11-03_final
2018-11-03 10:57:12	ga_s2am_ard_3-2-1_52KEV_2018-11-03_final
2018-11-03 10:57:12	ga_s2am_ard_3-2-1_52KFV_2018-11-03_final
2018-11-03 10:57:12	ga_s2am_ard_3-2-1_52KGV_2018-11-03_final
2018-11-27 10:43:25	ga_s2am_ard_3-2-1_53KPQ_2018-11-27_final
2018-11-27 10:43:29	ga_s2am_ard_3-2-1_53KNQ_2018-11-27_final
2018-11-27 10:43:32	ga_s2am_ard_3-2-1_53KMQ_2018-11-27_final
2018-11-27 10:43:37	ga_s2am_ard_3-2-1_53KLQ_2018-11-27_final
2018-11-29 09:43:00	ga_s2am_ard_3-2-1_56KLV_2018-11-29_final
2018-11-29 09:43:03	ga_s2am_ard_3-2-1_56KKV_2018-11-29_final
2018-11-29 09:43:03	ga_s2am_ard_3-2-1_55KHQ_2018-11-29_final
2018-11-29 09:43:07	ga_s2am_ard_3-2-1_55KGQ_2018-11-29_final
2018-12-06 09:33:04	ga_s2am_ard_3-2-1_56KLV_2018-12-06_final
2018-12-09 09:43:00	ga_s2am_ard_3-2-1_56KLV_2018-12-09_final
2018-12-09 09:43:04	ga_s2am_ard_3-2-1_56KKV_2018-12-09_final
2018-12-09 09:43:04	ga_s2am_ard_3-2-1_55KHQ_2018-12-09_final
2018-12-09 09:43:07	ga_s2am_ard_3-2-1_55KGQ_2018-12-09_final
2018-12-09 09:43:18	ga_s2am_ard_3-2-1_55KHP_2018-12-09_final
2018-12-12 09:53:03	ga_s2am_ard_3-2-1_55KGQ_2018-12-12_final
2018-12-12 09:53:06	ga_s2am_ard_3-2-1_55KFQ_2018-12-12_final
2018-12-12 09:53:10	ga_s2am_ard_3-2-1_55KEQ_2018-12-12_final
2018-12-12 09:53:13	ga_s2am_ard_3-2-1_55KDQ_2018-12-12_final
2018-12-15 10:03:08	ga_s2am_ard_3-2-1_55KDQ_2018-12-15_final
2018-12-15 10:03:12	ga_s2am_ard_3-2-1_55KCQ_2018-12-15_final
2018-12-15 10:03:15	ga_s2am_ard_3-2-1_55KBQ_2018-12-15_final
2018-12-15 10:03:15	ga_s2am_ard_3-2-1_54KZV_2018-12-15_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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