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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 s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless 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
2018-07-15 09:50:55	ga_s2am_ard_3-2-1_55KEV_2018-07-15_final
2018-07-18 09:57:08	ga_s2am_ard_3-2-1_55KEV_2018-07-18_final
2018-07-25 09:50:55	ga_s2am_ard_3-2-1_55KEV_2018-07-25_final
2018-07-28 09:57:08	ga_s2am_ard_3-2-1_55KEV_2018-07-28_final
2018-08-04 09:50:54	ga_s2am_ard_3-2-1_55KEV_2018-08-04_final
2018-08-07 09:57:07	ga_s2am_ard_3-2-1_55KEV_2018-08-07_final
2018-08-14 09:50:54	ga_s2am_ard_3-2-1_55KEV_2018-08-14_final
2018-08-17 09:57:07	ga_s2am_ard_3-2-1_55KEV_2018-08-17_final
2018-08-24 09:50:53	ga_s2am_ard_3-2-1_55KEV_2018-08-24_final
2018-08-27 09:57:06	ga_s2am_ard_3-2-1_55KEV_2018-08-27_final
2018-09-03 09:50:52	ga_s2am_ard_3-2-1_55KEV_2018-09-03_final
2018-09-06 09:57:05	ga_s2am_ard_3-2-1_55KEV_2018-09-06_final
2018-09-13 09:50:51	ga_s2am_ard_3-2-1_55KEV_2018-09-13_final
2018-09-26 09:57:03	ga_s2am_ard_3-2-1_55KEV_2018-09-26_final
2018-10-03 09:50:51	ga_s2am_ard_3-2-1_55KEV_2018-10-03_final
2018-10-06 09:57:04	ga_s2am_ard_3-2-1_55KEV_2018-10-06_final
2018-10-13 09:50:51	ga_s2am_ard_3-2-1_55KEV_2018-10-13_final
2018-10-16 09:57:04	ga_s2am_ard_3-2-1_55KEV_2018-10-16_final
2018-10-23 09:50:51	ga_s2am_ard_3-2-1_55KEV_2018-10-23_final
2018-10-26 09:57:04	ga_s2am_ard_3-2-1_55KEV_2018-10-26_final
2018-11-02 09:50:51	ga_s2am_ard_3-2-1_55KEV_2018-11-02_final
2018-11-05 09:57:03	ga_s2am_ard_3-2-1_55KEV_2018-11-05_final
2018-11-12 09:52:00	ga_s2am_ard_3-2-1_55KEV_2018-11-12_final
2018-11-15 10:01:55	ga_s2am_ard_3-2-1_55KEV_2018-11-15_final
2018-11-22 09:51:59	ga_s2am_ard_3-2-1_55KEV_2018-11-22_final
2018-11-25 10:01:53	ga_s2am_ard_3-2-1_55KEV_2018-11-25_final
2018-12-02 09:51:57	ga_s2am_ard_3-2-1_55KEV_2018-12-02_final
2018-12-12 09:51:57	ga_s2am_ard_3-2-1_55KEV_2018-12-12_final
2018-12-15 10:01:52	ga_s2am_ard_3-2-1_55KEV_2018-12-15_final
2018-12-22 09:51:57	ga_s2am_ard_3-2-1_55KEV_2018-12-22_final
2018-12-25 10:01:53	ga_s2am_ard_3-2-1_55KEV_2018-12-25_final
2019-01-01 09:51:59	ga_s2am_ard_3-2-1_55KEV_2019-01-01_final
2019-01-04 10:01:55	ga_s2am_ard_3-2-1_55KEV_2019-01-04_final
2019-01-11 09:52:01	ga_s2am_ard_3-2-1_55KEV_2019-01-11_final
2019-01-14 10:01:57	ga_s2am_ard_3-2-1_55KEV_2019-01-14_final
2019-01-21 09:52:02	ga_s2am_ard_3-2-1_55KEV_2019-01-21_final
2019-01-24 10:01:57	ga_s2am_ard_3-2-1_55KEV_2019-01-24_final
2019-01-31 09:52:02	ga_s2am_ard_3-2-1_55KEV_2019-01-31_final
2019-02-03 10:01:58	ga_s2am_ard_3-2-1_55KEV_2019-02-03_final
2019-02-10 09:52:02	ga_s2am_ard_3-2-1_55KEV_2019-02-10_final
2019-02-13 10:01:57	ga_s2am_ard_3-2-1_55KEV_2019-02-13_final
2019-02-20 09:52:02	ga_s2am_ard_3-2-1_55KEV_2019-02-20_final
2019-02-23 10:01:57	ga_s2am_ard_3-2-1_55KEV_2019-02-23_final
2019-03-02 09:52:01	ga_s2am_ard_3-2-1_55KEV_2019-03-02_final
2019-03-05 10:01:55	ga_s2am_ard_3-2-1_55KEV_2019-03-05_final
2019-03-12 09:52:01	ga_s2am_ard_3-2-1_55KEV_2019-03-12_final
2019-03-15 10:01:57	ga_s2am_ard_3-2-1_55KEV_2019-03-15_final
2019-03-25 10:02:00	ga_s2am_ard_3-2-1_55KEV_2019-03-25_final
2019-04-01 09:52:06	ga_s2am_ard_3-2-1_55KEV_2019-04-01_final
2019-04-04 10:02:02	ga_s2am_ard_3-2-1_55KEV_2019-04-04_final
2019-04-11 09:52:07	ga_s2am_ard_3-2-1_55KEV_2019-04-11_final
2019-04-14 10:02:03	ga_s2am_ard_3-2-1_55KEV_2019-04-14_final
2019-04-21 09:52:09	ga_s2am_ard_3-2-1_55KEV_2019-04-21_final
2019-04-24 10:02:04	ga_s2am_ard_3-2-1_55KEV_2019-04-24_final
2019-05-01 09:52:09	ga_s2am_ard_3-2-1_55KEV_2019-05-01_final
2019-05-04 10:02:05	ga_s2am_ard_3-2-1_55KEV_2019-05-04_final
2019-05-11 09:52:09	ga_s2am_ard_3-2-1_55KEV_2019-05-11_final
2019-05-14 10:02:05	ga_s2am_ard_3-2-1_55KEV_2019-05-14_final
2019-05-21 09:52:09	ga_s2am_ard_3-2-1_55KEV_2019-05-21_final
2019-05-24 10:02:04	ga_s2am_ard_3-2-1_55KEV_2019-05-24_final
2019-05-31 09:52:08	ga_s2am_ard_3-2-1_55KEV_2019-05-31_final
2019-06-03 10:02:03	ga_s2am_ard_3-2-1_55KEV_2019-06-03_final
2019-06-10 09:52:08	ga_s2am_ard_3-2-1_55KEV_2019-06-10_final
2019-06-13 10:02:04	ga_s2am_ard_3-2-1_55KEV_2019-06-13_final
2019-06-20 09:52:09	ga_s2am_ard_3-2-1_55KEV_2019-06-20_final
2019-06-30 09:52:10	ga_s2am_ard_3-2-1_55KEV_2019-06-30_final
2019-07-03 10:02:06	ga_s2am_ard_3-2-1_55KEV_2019-07-03_final
2019-07-10 09:52:11	ga_s2am_ard_3-2-1_55KEV_2019-07-10_final
2019-07-13 10:02:06	ga_s2am_ard_3-2-1_55KEV_2019-07-13_final
2019-07-20 09:52:11	ga_s2am_ard_3-2-1_55KEV_2019-07-20_final
2019-07-23 10:02:06	ga_s2am_ard_3-2-1_55KEV_2019-07-23_final
2019-07-30 09:52:10	ga_s2am_ard_3-2-1_55KEV_2019-07-30_final
2019-08-02 10:02:05	ga_s2am_ard_3-2-1_55KEV_2019-08-02_final
2019-08-09 09:52:09	ga_s2am_ard_3-2-1_55KEV_2019-08-09_final
2019-08-12 10:02:04	ga_s2am_ard_3-2-1_55KEV_2019-08-12_final
2019-08-19 09:52:08	ga_s2am_ard_3-2-1_55KEV_2019-08-19_final
2019-08-22 10:02:03	ga_s2am_ard_3-2-1_55KEV_2019-08-22_final
2019-08-29 09:52:07	ga_s2am_ard_3-2-1_55KEV_2019-08-29_final
2019-09-01 10:02:01	ga_s2am_ard_3-2-1_55KEV_2019-09-01_final
2019-09-08 09:52:05	ga_s2am_ard_3-2-1_55KEV_2019-09-08_final
2019-09-11 10:01:59	ga_s2am_ard_3-2-1_55KEV_2019-09-11_final
2019-09-18 09:52:05	ga_s2am_ard_3-2-1_55KEV_2019-09-18_final
2019-09-21 10:02:01	ga_s2am_ard_3-2-1_55KEV_2019-09-21_final
2019-09-28 09:52:07	ga_s2am_ard_3-2-1_55KEV_2019-09-28_final
2019-10-01 10:02:03	ga_s2am_ard_3-2-1_55KEV_2019-10-01_final
2019-10-08 09:52:08	ga_s2am_ard_3-2-1_55KEV_2019-10-08_final
2019-10-11 10:02:04	ga_s2am_ard_3-2-1_55KEV_2019-10-11_final
2019-10-18 09:52:09	ga_s2am_ard_3-2-1_55KEV_2019-10-18_final
2019-10-21 10:02:04	ga_s2am_ard_3-2-1_55KEV_2019-10-21_final
2019-10-28 09:52:09	ga_s2am_ard_3-2-1_55KEV_2019-10-28_final
2019-10-31 10:02:04	ga_s2am_ard_3-2-1_55KEV_2019-10-31_final
2019-11-07 09:52:08	ga_s2am_ard_3-2-1_55KEV_2019-11-07_final
2019-11-10 10:02:03	ga_s2am_ard_3-2-1_55KEV_2019-11-10_final
2019-11-17 09:52:07	ga_s2am_ard_3-2-1_55KEV_2019-11-17_final
2019-11-20 10:02:02	ga_s2am_ard_3-2-1_55KEV_2019-11-20_final
2019-11-27 09:52:05	ga_s2am_ard_3-2-1_55KEV_2019-11-27_final
2019-11-30 10:02:00	ga_s2am_ard_3-2-1_55KEV_2019-11-30_final
2019-12-07 09:52:03	ga_s2am_ard_3-2-1_55KEV_2019-12-07_final
2021-01-07 09:41:53	ga_s2am_ard_3-2-1_56KME_2021-01-07_final.stac-item
2021-03-08 09:41:52	ga_s2am_ard_3-2-1_56KME_2021-03-08_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years