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 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
2017-01-16 10:43:08	ga_s2am_ard_3-2-1_53JMF_2017-01-16_final
2017-01-26 10:42:01	ga_s2am_ard_3-2-1_53JMF_2017-01-26_final
2017-02-15 10:43:15	ga_s2am_ard_3-2-1_53JMF_2017-02-15_final
2017-03-07 10:42:59	ga_s2am_ard_3-2-1_53JMF_2017-03-07_final
2017-04-16 10:43:06	ga_s2am_ard_3-2-1_53JMF_2017-04-16_final
2017-05-06 10:43:09	ga_s2am_ard_3-2-1_53JMF_2017-05-06_final
2017-05-26 10:43:09	ga_s2am_ard_3-2-1_53JMF_2017-05-26_final
2017-07-05 10:43:05	ga_s2am_ard_3-2-1_53JMF_2017-07-05_final
2017-07-25 10:43:07	ga_s2am_ard_3-2-1_53JMF_2017-07-25_final
2017-08-14 10:43:08	ga_s2am_ard_3-2-1_53JMF_2017-08-14_final
2017-09-03 10:43:06	ga_s2am_ard_3-2-1_53JMF_2017-09-03_final
2017-09-23 10:43:02	ga_s2am_ard_3-2-1_53JMF_2017-09-23_final
2017-10-13 10:43:05	ga_s2am_ard_3-2-1_53JMF_2017-10-13_final
2017-12-12 10:43:01	ga_s2am_ard_3-2-1_53JMF_2017-12-12_final
2018-01-21 10:43:00	ga_s2am_ard_3-2-1_53JMF_2018-01-21_final
2019-11-22 10:45:52	ga_s2am_ard_3-2-1_53JMF_2019-11-22_final
2019-11-29 10:35:55	ga_s2am_ard_3-2-1_53JMF_2019-11-29_final
2019-12-02 10:45:50	ga_s2am_ard_3-2-1_53JMF_2019-12-02_final
2019-12-09 10:35:52	ga_s2am_ard_3-2-1_53JMF_2019-12-09_final
2019-12-12 10:45:47	ga_s2am_ard_3-2-1_53JMF_2019-12-12_final
2019-12-19 10:35:49	ga_s2am_ard_3-2-1_53JMF_2019-12-19_final
2019-12-22 10:45:45	ga_s2am_ard_3-2-1_53JMF_2019-12-22_final
2019-12-29 10:35:50	ga_s2am_ard_3-2-1_53JMF_2019-12-29_final
2020-01-08 10:35:50	ga_s2am_ard_3-2-1_53JMF_2020-01-08_final
2020-01-11 10:45:45	ga_s2am_ard_3-2-1_53JMF_2020-01-11_final
2020-01-18 10:35:49	ga_s2am_ard_3-2-1_53JMF_2020-01-18_final
2020-01-21 10:45:45	ga_s2am_ard_3-2-1_53JMF_2020-01-21_final
2020-01-28 10:35:48	ga_s2am_ard_3-2-1_53JMF_2020-01-28_final
2020-01-31 10:45:44	ga_s2am_ard_3-2-1_53JMF_2020-01-31_final
2020-02-07 10:35:47	ga_s2am_ard_3-2-1_53JMF_2020-02-07_final
2020-02-10 10:45:44	ga_s2am_ard_3-2-1_53JMF_2020-02-10_final
2020-02-17 10:35:49	ga_s2am_ard_3-2-1_53JMF_2020-02-17_final
2020-02-20 10:45:45	ga_s2am_ard_3-2-1_53JMF_2020-02-20_final
2020-02-27 10:35:51	ga_s2am_ard_3-2-1_53JMF_2020-02-27_final
2020-03-01 10:45:47	ga_s2am_ard_3-2-1_53JMF_2020-03-01_final
2020-03-08 10:35:52	ga_s2am_ard_3-2-1_53JMF_2020-03-08_final
2020-03-11 10:45:47	ga_s2am_ard_3-2-1_53JMF_2020-03-11_final
2020-03-18 10:35:52	ga_s2am_ard_3-2-1_53JMF_2020-03-18_final
2020-03-21 10:45:47	ga_s2am_ard_3-2-1_53JMF_2020-03-21_final
2020-03-28 10:35:52	ga_s2am_ard_3-2-1_53JMF_2020-03-28_final
2020-03-31 10:45:47	ga_s2am_ard_3-2-1_53JMF_2020-03-31_final
2020-04-07 10:35:53	ga_s2am_ard_3-2-1_53JMF_2020-04-07_final
2020-04-10 10:45:49	ga_s2am_ard_3-2-1_53JMF_2020-04-10_final
2020-04-17 10:35:56	ga_s2am_ard_3-2-1_53JMF_2020-04-17_final
2020-04-20 10:45:52	ga_s2am_ard_3-2-1_53JMF_2020-04-20_final
2020-04-27 10:35:58	ga_s2am_ard_3-2-1_53JMF_2020-04-27_final
2020-04-30 10:45:54	ga_s2am_ard_3-2-1_53JMF_2020-04-30_final
2020-05-07 10:36:00	ga_s2am_ard_3-2-1_53JMF_2020-05-07_final
2020-05-10 10:45:56	ga_s2am_ard_3-2-1_53JMF_2020-05-10_final
2020-05-20 10:45:57	ga_s2am_ard_3-2-1_53JMF_2020-05-20_final
2020-05-27 10:36:02	ga_s2am_ard_3-2-1_53JMF_2020-05-27_final
2020-05-30 10:45:57	ga_s2am_ard_3-2-1_53JMF_2020-05-30_final
2020-06-06 10:36:02	ga_s2am_ard_3-2-1_53JMF_2020-06-06_final
2020-06-09 10:45:57	ga_s2am_ard_3-2-1_53JMF_2020-06-09_final
2020-06-16 10:36:02	ga_s2am_ard_3-2-1_53JMF_2020-06-16_final
2020-06-19 10:45:57	ga_s2am_ard_3-2-1_53JMF_2020-06-19_final
2020-06-26 10:36:01	ga_s2am_ard_3-2-1_53JMF_2020-06-26_final
2020-06-29 10:45:56	ga_s2am_ard_3-2-1_53JMF_2020-06-29_final
2020-07-06 10:36:00	ga_s2am_ard_3-2-1_53JMF_2020-07-06_final
2020-07-09 10:45:55	ga_s2am_ard_3-2-1_53JMF_2020-07-09_final
2020-07-16 10:36:00	ga_s2am_ard_3-2-1_53JMF_2020-07-16_final
2020-07-26 10:36:01	ga_s2am_ard_3-2-1_53JMF_2020-07-26_final
2020-07-29 10:45:57	ga_s2am_ard_3-2-1_53JMF_2020-07-29_final
2020-08-05 10:36:02	ga_s2am_ard_3-2-1_53JMF_2020-08-05_final
2020-08-08 10:45:57	ga_s2am_ard_3-2-1_53JMF_2020-08-08_final
2020-08-15 10:36:01	ga_s2am_ard_3-2-1_53JMF_2020-08-15_final
2020-08-18 10:45:57	ga_s2am_ard_3-2-1_53JMF_2020-08-18_final
2020-08-25 10:36:01	ga_s2am_ard_3-2-1_53JMF_2020-08-25_final
2020-08-28 10:45:56	ga_s2am_ard_3-2-1_53JMF_2020-08-28_final
2020-09-04 10:36:00	ga_s2am_ard_3-2-1_53JMF_2020-09-04_final
2020-09-07 10:45:55	ga_s2am_ard_3-2-1_53JMF_2020-09-07_final
2020-09-14 10:36:00	ga_s2am_ard_3-2-1_53JMF_2020-09-14_final
2020-09-17 10:45:56	ga_s2am_ard_3-2-1_53JMF_2020-09-17_final
2020-09-24 10:36:01	ga_s2am_ard_3-2-1_53JMF_2020-09-24_final
2020-09-27 10:45:57	ga_s2am_ard_3-2-1_53JMF_2020-09-27_final
2020-10-07 10:45:57	ga_s2am_ard_3-2-1_53JMF_2020-10-07_final
2020-10-14 10:36:01	ga_s2am_ard_3-2-1_53JMF_2020-10-14_final
2020-10-17 10:45:57	ga_s2am_ard_3-2-1_53JMF_2020-10-17_final
2020-10-24 10:36:01	ga_s2am_ard_3-2-1_53JMF_2020-10-24_final
2020-10-27 10:45:56	ga_s2am_ard_3-2-1_53JMF_2020-10-27_final
2020-11-03 10:36:01	ga_s2am_ard_3-2-1_53JMF_2020-11-03_final
2020-11-06 10:45:56	ga_s2am_ard_3-2-1_53JMF_2020-11-06_final
2020-11-13 10:35:59	ga_s2am_ard_3-2-1_53JMF_2020-11-13_final
2020-11-16 10:45:54	ga_s2am_ard_3-2-1_53JMF_2020-11-16_final
2020-11-23 10:35:57	ga_s2am_ard_3-2-1_53JMF_2020-11-23_final
2020-12-03 10:35:55	ga_s2am_ard_3-2-1_53JMF_2020-12-03_final
2020-12-16 10:45:49	ga_s2am_ard_3-2-1_53JMF_2020-12-16_final
2021-01-02 10:35:56	ga_s2am_ard_3-2-1_53JMF_2021-01-02_final
2021-01-05 10:45:52	ga_s2am_ard_3-2-1_53JMF_2021-01-05_final
2021-01-12 10:35:56	ga_s2am_ard_3-2-1_53JMF_2021-01-12_final
2021-01-15 10:45:52	ga_s2am_ard_3-2-1_53JMF_2021-01-15_final
2021-01-22 10:35:56	ga_s2am_ard_3-2-1_53JMF_2021-01-22_final
2021-02-04 10:45:51	ga_s2am_ard_3-2-1_53JMF_2021-02-04_final
2021-02-21 10:35:55	ga_s2am_ard_3-2-1_53JMF_2021-02-21_final
2021-03-06 10:45:51	ga_s2am_ard_3-2-1_53JMF_2021-03-06_final
2021-03-13 10:35:55	ga_s2am_ard_3-2-1_53JMF_2021-03-13_final
2021-03-26 10:45:49	ga_s2am_ard_3-2-1_53JMF_2021-03-26_final
2021-04-05 10:45:47	ga_s2am_ard_3-2-1_53JMF_2021-04-05_final
2021-04-12 10:35:50	ga_s2am_ard_3-2-1_53JMF_2021-04-12_final
2021-04-15 10:45:45	ga_s2am_ard_3-2-1_53JMF_2021-04-15_final

Return to ga_s2am_ard_3 whole collection overview

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

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years