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
2018-06-27 10:27:08	ga_s2am_ard_3-2-1_53JNJ_2018-06-27_final
2018-07-07 10:27:09	ga_s2am_ard_3-2-1_53JNJ_2018-07-07_final
2018-07-17 10:27:09	ga_s2am_ard_3-2-1_53JNJ_2018-07-17_final
2018-07-27 10:27:09	ga_s2am_ard_3-2-1_53JNJ_2018-07-27_final
2018-08-06 10:27:08	ga_s2am_ard_3-2-1_53JNJ_2018-08-06_final
2018-08-16 10:30:15	ga_s2am_ard_3-2-1_53JNJ_2018-08-16_final
2018-08-26 10:27:07	ga_s2am_ard_3-2-1_53JNJ_2018-08-26_final
2018-09-05 10:27:05	ga_s2am_ard_3-2-1_53JNJ_2018-09-05_final
2018-09-15 10:27:04	ga_s2am_ard_3-2-1_53JNJ_2018-09-15_final
2018-09-25 10:27:03	ga_s2am_ard_3-2-1_53JNJ_2018-09-25_final
2018-10-05 10:27:04	ga_s2am_ard_3-2-1_53JNJ_2018-10-05_final
2018-10-15 10:27:05	ga_s2am_ard_3-2-1_53JNJ_2018-10-15_final
2018-10-25 10:27:05	ga_s2am_ard_3-2-1_53JNJ_2018-10-25_final
2018-11-04 10:27:04	ga_s2am_ard_3-2-1_53JNJ_2018-11-04_final
2018-11-14 10:35:03	ga_s2am_ard_3-2-1_53JNJ_2018-11-14_final
2018-11-24 10:35:01	ga_s2am_ard_3-2-1_53JNJ_2018-11-24_final
2018-12-04 10:35:00	ga_s2am_ard_3-2-1_53JNJ_2018-12-04_final
2018-12-14 10:35:00	ga_s2am_ard_3-2-1_53JNJ_2018-12-14_final
2018-12-24 10:35:01	ga_s2am_ard_3-2-1_53JNJ_2018-12-24_final
2019-01-03 10:35:03	ga_s2am_ard_3-2-1_53JNJ_2019-01-03_final
2019-01-13 10:35:04	ga_s2am_ard_3-2-1_53JNJ_2019-01-13_final
2019-01-23 10:35:05	ga_s2am_ard_3-2-1_53JNJ_2019-01-23_final
2019-02-02 10:35:06	ga_s2am_ard_3-2-1_53JNJ_2019-02-02_final
2019-02-12 10:35:05	ga_s2am_ard_3-2-1_53JNJ_2019-02-12_final
2019-02-22 10:35:05	ga_s2am_ard_3-2-1_53JNJ_2019-02-22_final
2019-03-04 10:35:03	ga_s2am_ard_3-2-1_53JNJ_2019-03-04_final
2019-03-14 10:35:05	ga_s2am_ard_3-2-1_53JNJ_2019-03-14_final
2019-03-24 10:35:07	ga_s2am_ard_3-2-1_53JNJ_2019-03-24_final
2019-04-03 10:35:09	ga_s2am_ard_3-2-1_53JNJ_2019-04-03_final
2019-04-13 10:35:11	ga_s2am_ard_3-2-1_53JNJ_2019-04-13_final
2019-04-23 10:35:12	ga_s2am_ard_3-2-1_53JNJ_2019-04-23_final
2019-05-03 10:35:12	ga_s2am_ard_3-2-1_53JNJ_2019-05-03_final
2019-05-13 10:35:12	ga_s2am_ard_3-2-1_53JNJ_2019-05-13_final
2019-05-23 10:35:12	ga_s2am_ard_3-2-1_53JNJ_2019-05-23_final
2019-06-02 10:35:11	ga_s2am_ard_3-2-1_53JNJ_2019-06-02_final
2019-06-12 10:35:12	ga_s2am_ard_3-2-1_53JNJ_2019-06-12_final
2019-07-02 10:35:14	ga_s2am_ard_3-2-1_53JNJ_2019-07-02_final
2019-07-12 10:35:14	ga_s2am_ard_3-2-1_53JNJ_2019-07-12_final
2019-07-22 10:35:14	ga_s2am_ard_3-2-1_53JNJ_2019-07-22_final
2019-08-01 10:35:13	ga_s2am_ard_3-2-1_53JNJ_2019-08-01_final
2019-08-11 10:35:12	ga_s2am_ard_3-2-1_53JNJ_2019-08-11_final
2019-08-21 10:35:11	ga_s2am_ard_3-2-1_53JNJ_2019-08-21_final
2019-08-31 10:35:09	ga_s2am_ard_3-2-1_53JNJ_2019-08-31_final
2019-09-10 10:35:07	ga_s2am_ard_3-2-1_53JNJ_2019-09-10_final
2019-09-20 10:35:09	ga_s2am_ard_3-2-1_53JNJ_2019-09-20_final
2019-09-30 10:35:10	ga_s2am_ard_3-2-1_53JNJ_2019-09-30_final
2019-10-10 10:35:11	ga_s2am_ard_3-2-1_53JNJ_2019-10-10_final
2019-10-20 10:35:12	ga_s2am_ard_3-2-1_53JNJ_2019-10-20_final
2019-10-30 10:35:12	ga_s2am_ard_3-2-1_53JNJ_2019-10-30_final
2019-11-09 10:35:11	ga_s2am_ard_3-2-1_53JNJ_2019-11-09_final
2019-11-19 10:35:10	ga_s2am_ard_3-2-1_53JNJ_2019-11-19_final
2019-11-29 10:35:08	ga_s2am_ard_3-2-1_53JNJ_2019-11-29_final
2019-12-09 10:35:06	ga_s2am_ard_3-2-1_53JNJ_2019-12-09_final
2019-12-19 10:35:03	ga_s2am_ard_3-2-1_53JNJ_2019-12-19_final
2019-12-29 10:35:03	ga_s2am_ard_3-2-1_53JNJ_2019-12-29_final
2020-01-08 10:35:03	ga_s2am_ard_3-2-1_53JNJ_2020-01-08_final
2020-02-17 10:35:02	ga_s2am_ard_3-2-1_53JNJ_2020-02-17_final
2020-02-27 10:35:04	ga_s2am_ard_3-2-1_53JNJ_2020-02-27_final
2020-03-08 10:35:05	ga_s2am_ard_3-2-1_53JNJ_2020-03-08_final
2020-03-18 10:35:05	ga_s2am_ard_3-2-1_53JNJ_2020-03-18_final
2020-03-28 10:35:05	ga_s2am_ard_3-2-1_53JNJ_2020-03-28_final
2020-04-07 10:35:06	ga_s2am_ard_3-2-1_53JNJ_2020-04-07_final
2020-04-17 10:35:09	ga_s2am_ard_3-2-1_53JNJ_2020-04-17_final
2020-04-27 10:35:11	ga_s2am_ard_3-2-1_53JNJ_2020-04-27_final
2020-05-07 10:35:13	ga_s2am_ard_3-2-1_53JNJ_2020-05-07_final
2020-05-27 10:35:15	ga_s2am_ard_3-2-1_53JNJ_2020-05-27_final
2020-06-06 10:35:15	ga_s2am_ard_3-2-1_53JNJ_2020-06-06_final
2020-06-16 10:35:15	ga_s2am_ard_3-2-1_53JNJ_2020-06-16_final
2020-06-26 10:35:14	ga_s2am_ard_3-2-1_53JNJ_2020-06-26_final
2020-07-06 10:35:13	ga_s2am_ard_3-2-1_53JNJ_2020-07-06_final
2020-07-16 10:35:13	ga_s2am_ard_3-2-1_53JNJ_2020-07-16_final
2020-07-26 10:35:14	ga_s2am_ard_3-2-1_53JNJ_2020-07-26_final
2020-08-05 10:35:15	ga_s2am_ard_3-2-1_53JNJ_2020-08-05_final
2020-08-15 10:35:15	ga_s2am_ard_3-2-1_53JNJ_2020-08-15_final
2020-08-25 10:35:14	ga_s2am_ard_3-2-1_53JNJ_2020-08-25_final
2020-09-04 10:35:13	ga_s2am_ard_3-2-1_53JNJ_2020-09-04_final
2020-09-14 10:35:13	ga_s2am_ard_3-2-1_53JNJ_2020-09-14_final
2021-05-05 10:45:06	ga_s2am_ard_3-2-1_53JMJ_2021-05-05_final
2021-05-15 10:45:08	ga_s2am_ard_3-2-1_53JMJ_2021-05-15_final
2021-05-25 10:45:08	ga_s2am_ard_3-2-1_53JMJ_2021-05-25_final
2021-06-04 10:45:09	ga_s2am_ard_3-2-1_53JMJ_2021-06-04_final
2021-06-14 10:45:08	ga_s2am_ard_3-2-1_53JMJ_2021-06-14_final
2021-06-24 10:45:09	ga_s2am_ard_3-2-1_53JMJ_2021-06-24_final
2021-07-04 10:45:10	ga_s2am_ard_3-2-1_53JMJ_2021-07-04_final
2021-07-14 10:45:11	ga_s2am_ard_3-2-1_53JMJ_2021-07-14_final
2021-07-24 10:45:11	ga_s2am_ard_3-2-1_53JMJ_2021-07-24_final
2021-08-03 10:45:11	ga_s2am_ard_3-2-1_53JMJ_2021-08-03_final
2021-08-13 10:45:10	ga_s2am_ard_3-2-1_53JMJ_2021-08-13_final
2021-08-23 10:45:10	ga_s2am_ard_3-2-1_53JMJ_2021-08-23_final
2021-09-02 10:45:09	ga_s2am_ard_3-2-1_53JMJ_2021-09-02_final
2021-09-12 10:45:08	ga_s2am_ard_3-2-1_53JMJ_2021-09-12_final
2021-09-22 10:45:11	ga_s2am_ard_3-2-1_53JMJ_2021-09-22_final
2021-10-02 10:45:12	ga_s2am_ard_3-2-1_53JMJ_2021-10-02_final
2021-10-12 10:45:13	ga_s2am_ard_3-2-1_53JMJ_2021-10-12_final
2021-10-22 10:45:13	ga_s2am_ard_3-2-1_53JMJ_2021-10-22_final
2021-11-01 10:45:12	ga_s2am_ard_3-2-1_53JMJ_2021-11-01_final
2021-11-11 10:45:10	ga_s2am_ard_3-2-1_53JMJ_2021-11-11_final
2021-11-21 10:45:08	ga_s2am_ard_3-2-1_53JMJ_2021-11-21_final
2021-12-01 10:45:07	ga_s2am_ard_3-2-1_53JMJ_2021-12-01_final
2021-12-11 10:45:07	ga_s2am_ard_3-2-1_53JMJ_2021-12-11_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